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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role We're hiring a Senior Software Engineer for our Inference Cloud team. This team owns the cloud layer behind our Inference Service, including availability, latency, reliability, and global scale. This is a hands-on individual contributor role focused on building cloud services and the Kubernetes infrastructure that runs them. You'll design and own cloud components, improve request routing and service connectivity, work with production databases, and debug issues across the stack. You'll take projects from design through rollout and ongoing operation, partnering closely with ML, Product, and Infrastructure teams. Responsibilities Kubernetes Infrastructure. Build and improve production Kubernetes environments on Amazon EKS. Own improvements to workload scheduling, autoscaling, cluster upgrades, resource utilization, network policies, and failure recovery. Service Networking & Traffic Control. Develop and operate traffic management infrastructure using Envoy and Istio. Improve routing, rate limiting, connection management, timeouts, retries, and failover to keep services responsive under changing demand. Databases. Build database-backed services and improve the reliability and performance of their data stores. Troubleshoot query performance, connection pooling, and availability issues, and strengthen backup and recovery practices. Reliability & Performance. Identify bottlenecks across applications, Kubernetes, networking, and databases. Improve latency, throughput, and capacity efficiency in high-QPS systems, including during traffic spikes and partial failures. Infrastructure & Deployment Automation. Use Terraform, Argo CD, and Kustomize to automate infrastructure provisioning and application delivery. Improve deployment validation, rollback, and operational tooling. Production Operations & Collaboration. Build actionable metrics, logs, traces, dashboards, and alerts. Investigate incidents, deliver lasting fixes, and contribute to design reviews, code reviews, and shared engineering practices. Skills & Qualifications 5+ years of software engineering experience, including building and operating production services or cloud infrastructure. Strong Kubernetes expertise, including workload lifecycle, networking, service discovery, storage, autoscaling, and troubleshooting cluster and application failures. Hands-on experience with Amazon EKS or a comparable managed Kubernetes service. Experience configuring and troubleshooting Envoy and Istio, or comparable proxy and service mesh technologies. Solid understanding of HTTP, gRPC, DNS, TLS, and mTLS. Experience developing services that use production databases, with practical knowledge of query optimization, indexing, connection management, and database reliability. Strong programming skills in Go or another backend or systems language, with the ability to write, test, and maintain production software. Experience with infrastructure as code and automated deployment workflows using Terraform, Argo CD, Kustomize, or equivalent tools. Experience diagnosing performance and reliability issues using metrics, logs, and tracing. Ability to independently deliver projects, explain technical tradeoffs, and collaborate effectively across engineering teams. Preferred Skills & Qualifications AWS networking experience, including VPNs, Transit Gateway (TGW), Direct Connect (DX), VPC routing, and security groups. Experience designing distributed systems, including replication, consistency, fault tolerance, and multi-region operation. Production programming experience in C++. Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience reducing time to first token (TTFT) and tail latency is a strong plus. Familiarity with ML inference infrastructure or model serving systems. Why Join Cerebras About People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we've reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here ! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Senior Software Engineer – Kubernetes Operators & Controllers Location: Dallas, TX Preferred Work Arrangement: Hybrid, 3 Days Onsite / 2 Days Remote Remote Flexibility: Full remote may be considered for the right candidate Relocation: Available for qualified non-local candidates Employment Type: Direct Hire Overview Our client is seeking a Senior Kubernetes Engineer to design and build the software powering a next-generation GPU-accelerated compute platform supporting AI, machine learning, LLM, and HPC workloads. This is a software development role focused on Kubernetes , not a traditional DevOps, SRE, or Kubernetes administration position. The core focus is building Kubernetes-native software including custom operators, controllers, CRDs, APIs, schedulers, and internal platform services used to orchestrate large-scale GPU infrastructure. The ideal candidate is a strong developer who understands Kubernetes internals and has experience building software on top of Kubernetes, not simply deploying applications or maintaining clusters. Key Responsibilities Develop Kubernetes-native software using Go, Python, or similar languages. Build custom operators, controllers, CRDs, APIs, and platform services. Extend Kubernetes to support GPU-intensive AI/ML and HPC workloads. Develop automation for cluster provisioning, lifecycle management, scheduling, and infrastructure orchestration. Build GPU scheduling, allocation, workload placement, and resource-isolation capabilities. Integrate NVIDIA technologies including GPU Operator, device plugins, MIG, and DCGM. Develop internal tools and APIs for provisioning and managing GPU compute resources. Improve platform scalability, GPU utilization, workload performance, and reliability. Integrate Kubernetes with high-performance networking, storage, and bare-metal infrastructure. Build observability and automated remediation capabilities for distributed compute environments. Required Qualifications Strong software development experience with Go, Python, or another modern programming language. Hands-on experience building Kubernetes operators, controllers, CRDs, APIs, or similar Kubernetes-native software. Strong understanding of Kubernetes architecture, controllers, reconciliation, scheduling, RBAC, networking, and cluster lifecycle. Experience building platforms or distributed systems on Kubernetes. Experience with GPU infrastructure and NVIDIA technologies. Experience supporting AI/ML, LLM, HPC, or other compute-intensive workloads. Strong Linux and distributed systems knowledge. Experience with Terraform, Helm, Kustomize, Argo CD, Flux, or similar tooling. Ability to troubleshoot across Kubernetes, compute, networking, storage, GPU, and application layers. Preferred Experience NVIDIA GPU clusters. Slurm, Volcano, kube-scheduler extensions, or custom scheduling. CUDA, NCCL, PyTorch, or TensorFlow. InfiniBand, RDMA, RoCE, or other high-performance networking. Bare-metal Kubernetes. Internal developer platforms or self-service infrastructure. AI infrastructure, HPC, cloud infrastructure, or large-scale distributed systems. Ideal Candidate The ideal candidate is a software developer who builds Kubernetes-native systems . This person should be comfortable writing operators, controllers, APIs, schedulers, and automation that extend Kubernetes and manage complex GPU infrastructure. Candidates whose background is primarily DevOps, CI/CD, Terraform administration, application deployment, or Kubernetes operations without substantial software development experience are unlikely to be the right fit. Dallas-based candidates are preferred, but full remote may be considered for candidates with exceptional Kubernetes development and GPU infrastructure experience.

OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov's mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com. Job Summary OpenGov is modernizing how governments operate. The infrastructure for that mission must be fast, resilient, and ready to scale. As a Sr. DevOps Engineer, you'll own the design and delivery of the cloud systems, CI/CD pipelines, and security architecture that keep our multi-tenant SaaS platform running for thousands of public sector customers. This is a high-ownership role for an engineer who moves fluidly between deep technical execution and cross-functional influence. This engineer builds AI-forward infrastructure that directly shapes how government services are delivered. Responsibilities Architect and own OpenGov's multi-tenant Azure and AWS infrastructure, ensuring high availability, fault tolerance, and disaster recovery readiness at scale. Lead infrastructure-as-code strategy using any IaC (Terraform, CloudFormation, Pulumi, or Crossplane), driving consistency, repeatability, and auditability across environments. Design, build, and continuously improve CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or others) that enable rapid, reliable feature delivery. Drive cloud cost optimization and performance engineering across AWS and Azure services, balancing efficiency with reliability commitments. Own the security posture of cloud infrastructure and partner with compliance teams on SOC2 and StateRamp adherence. Establish and manage observability practices using tools like Grafana, Prometheus, and Azure Monitor. Lead incident response and post-mortem processes with a focus on systemic improvement. Serve as a cross-functional technical advisor to engineering, product, and security teams. Translate business priorities into scalable infrastructure decisions. Mentor and develop junior engineers, elevate technical standards, and build a culture of operational excellence. Requirements And Preferred Experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. 8+ years of software engineering experience with a deep focus on cloud infrastructure, DevOps, and platform engineering. 3+ years running Kubernetes at scale in production on public cloud environments (Azure preferred). Proven track record with AWS, Azure, or GCP infrastructure for SaaS applications. Experience includes managed Kubernetes, databases, networking, and RBAC management. Hands-on expertise with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi, or Crossplane) in production environments. Strong command of CI/CD tooling (GitHub Actions, Jenkins, CircleCI, or equivalent) and modern delivery practices. Deep knowledge of cloud security practices, including encryption, RBAC, IAM, and network security architecture. Proficiency in at least one modern programming language (Python, Go, Java, or Ruby). Experience with AI-driven developer tooling, workflow automation, or agent-based systems in an engineering context. Familiarity with ArgoCD or other GitOps-based deployment frameworks. Experience with regulated environments and compliance frameworks such as SOC2 or StateRamp. Why OpenGov? A Mission That Matters. At OpenGov, public service is personal. We are passionate about our mission to power more effective and accountable government. Government that operates efficiently, adapts to change, and strengthens public trust. Some people say this is boring. We think it's the core of our democracy. Opportunity to Innovate The next great wave of innovation is unfolding with AI, and it will impact everything—from the way we work to the way governments interact with their residents. Join a trusted team with the passion, technology, and expertise to drive innovation and bring AI to local government. We've touched 2,000 communities so far, and we're just getting started. A Team of Passionate, Driven People This isn't your typical 9-to-5 job; we operate in a fast-paced, results-driven environment where impact matters more than simply clocking in and out. Our global team of 800+ employees is united in our commitment to challenge the status quo. OpenGov is headquartered in San Francisco and has offices in Atlanta, Boston, Chicago, Dubuque, Dallas, and Pune. A Place to Make Your Mark We pride ourselves on our performance-based culture, where every employee is encouraged to jump in head-first and take action to help us improve. If you have a great idea, we want to hear it. Excellent performance is recognized and rewarded, and we love to promote from within. Benefits That Work For You Enjoy an award-winning workplace with the benefits to match, including: Comprehensive healthcare options for individuals and families Flexible vacation policy and paid company holidays 401(k) with company match Paid parental leave, wellness stipends, and HSA contributions Professional development and growth opportunities A collaborative office environment with weekly catered lunches.

OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov's mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com. Job Summary OpenGov is modernizing how governments operate. The infrastructure for that mission must be fast, resilient, and ready to scale. As a Sr. DevOps Engineer, you'll own the design and delivery of the cloud systems, CI/CD pipelines, and security architecture that keep our multi-tenant SaaS platform running for thousands of public sector customers. This is a high-ownership role for an engineer who moves fluidly between deep technical execution and cross-functional influence. This engineer builds AI-forward infrastructure that directly shapes how government services are delivered. Responsibilities Architect and own OpenGov's multi-tenant Azure and AWS infrastructure, ensuring high availability, fault tolerance, and disaster recovery readiness at scale. Lead infrastructure-as-code strategy using any IaC (Terraform, CloudFormation, Pulumi, or Crossplane), driving consistency, repeatability, and auditability across environments. Design, build, and continuously improve CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or others) that enable rapid, reliable feature delivery. Drive cloud cost optimization and performance engineering across AWS and Azure services, balancing efficiency with reliability commitments. Own the security posture of cloud infrastructure and partner with compliance teams on SOC2 and StateRamp adherence. Establish and manage observability practices using tools like Grafana, Prometheus, and Azure Monitor. Lead incident response and post-mortem processes with a focus on systemic improvement. Serve as a cross-functional technical advisor to engineering, product, and security teams. Translate business priorities into scalable infrastructure decisions. Mentor and develop junior engineers, elevate technical standards, and build a culture of operational excellence. Requirements And Preferred Experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. 8+ years of software engineering experience with a deep focus on cloud infrastructure, DevOps, and platform engineering. 3+ years running Kubernetes at scale in production on public cloud environments (Azure preferred). Proven track record with AWS, Azure, or GCP infrastructure for SaaS applications. Experience includes managed Kubernetes, databases, networking, and RBAC management. Hands-on expertise with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi, or Crossplane) in production environments. Strong command of CI/CD tooling (GitHub Actions, Jenkins, CircleCI, or equivalent) and modern delivery practices. Deep knowledge of cloud security practices, including encryption, RBAC, IAM, and network security architecture. Proficiency in at least one modern programming language (Python, Go, Java, or Ruby). Experience with AI-driven developer tooling, workflow automation, or agent-based systems in an engineering context. Familiarity with ArgoCD or other GitOps-based deployment frameworks. Experience with regulated environments and compliance frameworks such as SOC2 or StateRamp. Why OpenGov? A Mission That Matters. At OpenGov, public service is personal. We are passionate about our mission to power more effective and accountable government. Government that operates efficiently, adapts to change, and strengthens public trust. Some people say this is boring. We think it's the core of our democracy. Opportunity to Innovate The next great wave of innovation is unfolding with AI, and it will impact everything—from the way we work to the way governments interact with their residents. Join a trusted team with the passion, technology, and expertise to drive innovation and bring AI to local government. We've touched 2,000 communities so far, and we're just getting started. A Team of Passionate, Driven People This isn't your typical 9-to-5 job; we operate in a fast-paced, results-driven environment where impact matters more than simply clocking in and out. Our global team of 800+ employees is united in our commitment to challenge the status quo. OpenGov is headquartered in San Francisco and has offices in Atlanta, Boston, Chicago, Dubuque, Dallas, and Pune. A Place to Make Your Mark We pride ourselves on our performance-based culture, where every employee is encouraged to jump in head-first and take action to help us improve. If you have a great idea, we want to hear it. Excellent performance is recognized and rewarded, and we love to promote from within. Benefits That Work For You Enjoy an award-winning workplace with the benefits to match, including: Comprehensive healthcare options for individuals and families Flexible vacation policy and paid company holidays 401(k) with company match Paid parental leave, wellness stipends, and HSA contributions Professional development and growth opportunities A collaborative office environment with weekly catered lunches.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Cloud Infrastructure Engineer based in the United States. The Senior Cloud Infrastructure Engineer will design, build, and operate the cloud infrastructure powering a modern, cloud-native SaaS platform. This hands-on engineering role focuses on Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Kubernetes cluster operations, Terraform, and cloud networking. You will own critical infrastructure foundations, ensuring security, reliability, scalability, and cost efficiency across production environments. Working closely with Platform Engineering, Site Reliability Engineering (SRE), and Security teams, you will improve infrastructure automation, observability, and operational resilience. The role offers opportunities to solve complex technical challenges, influence architectural decisions, and mentor fellow engineers. This fully remote US opportunity is ideal for an infrastructure specialist who enjoys deep technical ownership and building robust systems at scale. Accountabilities Cloud Infrastructure Engineering: Design, build, operate, and maintain production infrastructure on Google Cloud Platform, including GKE, VPC networking, load balancers, Cloud DNS, IAM, and related cloud services. Kubernetes Cluster Management: Own the architecture and lifecycle of production Kubernetes clusters, including provisioning, upgrades, node pool management, autoscaling, networking, capacity planning, and troubleshooting. Infrastructure as Code: Develop and maintain reusable Terraform modules, infrastructure-as-code frameworks, and automated provisioning workflows to ensure infrastructure changes are consistent, repeatable, and reliable. Cloud Networking: Design and manage VPCs, subnetworks, firewall rules, routing, Cloud NAT, load balancing, and connectivity across services and environments. Technical Troubleshooting: Diagnose and resolve complex infrastructure issues involving Kubernetes, Linux, DNS, networking, cloud services, and distributed systems using systematic debugging and production diagnostics. Observability and Monitoring: Improve infrastructure visibility through Prometheus, logging platforms, metrics, alerting, and related monitoring tools. Security and Access Management: Implement and maintain infrastructure security controls, including IAM policies, service accounts, secrets management, least-privilege access, Kubernetes RBAC, and network policies. Reliability and Optimization: Drive improvements in infrastructure availability, scalability, performance, capacity planning, and cloud cost efficiency. Infrastructure Upgrades and Migrations: Plan and execute Kubernetes and GCP upgrades, migrations, and architectural improvements while minimizing production risks and service disruption. Cross-Functional Collaboration: Partner with Platform Engineering, SRE, and Security teams to establish scalable infrastructure standards, improve operational practices, and clarify technical ownership. Technical Leadership: Contribute to architecture discussions and technical design reviews, mentor other engineers, and promote improvements in reliability, maintainability, and engineering quality. Requirements Professional Experience: At least three years of hands-on production experience designing, provisioning, operating, and troubleshooting cloud infrastructure. Google Cloud Platform: Strong knowledge of GCP services and networking, including VPCs, subnets, firewall rules, routing, Cloud NAT, Cloud DNS, Cloud Load Balancing, projects, IAM policies, service accounts, and security configurations. Kubernetes and GKE: At least three years of hands-on experience operating production Kubernetes clusters, preferably GKE. Experience must include cluster provisioning, administration, upgrades, and infrastructure-level troubleshooting; deploying applications into existing clusters alone is not sufficient. Kubernetes Architecture: Strong understanding of control planes, worker nodes, scheduling, networking, services, ingress, storage, resource management, node pools, autoscaling, resource requests and limits, and cluster capacity. Infrastructure as Code: At least three years of professional Terraform experience managing production cloud infrastructure, developing reusable modules, handling remote state, and implementing safe change-management processes. Automation and Version Control: Proficiency in scripting with Python, Go, Bash, or similar languages, along with experience using Git-based infrastructure workflows, code reviews, and automated validation. Linux and Networking: Strong Linux systems administration and troubleshooting skills, combined with a solid understanding of TCP/IP, DNS, HTTP/HTTPS, TLS, routing, firewalls, and load balancing. Diagnostics and Problem-Solving: Ability to investigate complex infrastructure issues using logs, metrics, traces, packet-level analysis, and structured debugging techniques. Production Engineering: Experience designing secure, resilient, and scalable infrastructure for production workloads. Advanced Experience Preferred: Eight or more years of professional engineering experience and a background operating GKE clusters in large-scale, multi-cluster, or multi-region environments. Advanced GCP and Kubernetes Skills Preferred: Experience with GKE networking, Workload Identity, Gateway API, Ingress controllers, cluster autoscaling, multi-project GCP architectures, centralized networking, IAM governance, and infrastructure guardrails. Monitoring and Security Preferred: Experience operating Prometheus, Grafana, and centralized logging infrastructure, along with implementing Kubernetes RBAC, network policies, workload identity, and secrets management. Scale and Reliability Preferred: Experience executing major infrastructure migrations with minimal disruption, optimizing cloud costs, modeling capacity, and supporting highly available SaaS platforms or distributed systems at significant production scale. Technical Leadership Preferred: Demonstrated ability to mentor senior engineers and improve infrastructure architecture, engineering practices, reliability, and maintainability. Work Authorization: Must be authorized to work for any employer in the United States. Current or future employment visa sponsorship is not available. Benefits Annual Salary: US hiring range of $150,000–$175,000, with placement depending on geographic location, professional experience, education, and skill level. Comprehensive Healthcare: Medical, dental, and vision coverage. Retirement Benefits: 401(k) plan. Wellness: Wellness benefits and additional employee support programs. Remote Work: Remote opportunity within the United States. Meaningful Technical Impact: Direct ownership of cloud infrastructure and the opportunity to shape GCP and Kubernetes architecture for a cloud-native SaaS platform. Collaborative Environment: Work alongside experienced professionals across Infrastructure, Platform Engineering, SRE, and Security. Professional Growth: Opportunities to tackle challenging engineering problems, influence technical decisions, mentor colleagues, and improve systems as the platform scales. Inclusive Workplace: Equal opportunity employment with a commitment to a collaborative and inclusive culture. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Title: GCP/GKE DevOps Lead Location: Jersey City, New Jersey Minimum Experience: 08 Years Kubernetes and Compute Platform Design, operate, and upgrade GKE clusters in both Autopilot and Standard modes, including custom compute classes, node pool configuration, and capacity management. Manage multi-cluster architecture using GKE Fleet, Multi-Cluster Ingress, and Multi-Cluster Gateway. Implement workload autoscaling using KEDA and the Custom Metrics Adapter for event-driven and metrics-based scaling. Manage cluster add-ons and operational tooling, including the Secrets Store CSI Driver, Reloader, ConfigMaps, and ingress configuration. Deploy and operate serverless workloads on Cloud Run and Cloud Functions, and provision Compute Engine instances where required. Infrastructure as Code Own and maintain a modular Terraform codebase managed through Terraform Cloud, with environment-specific configurations across development, QA, staging, and production. Build and maintain reusable Terraform modules and enforce consistent standards, reviews, and plan/apply workflows. Manage Harness configuration as code through Terraform, including service, environment, and pipeline onboarding. Networking, Edge, and Certificate Management Manage global and static IP addressing, load balancing, and ingress for internet-facing and internal services. Configure and maintain edge security using Google Cloud Armor and Imperva WAF. Manage SSL/TLS certificates and automated certificate expiry monitoring to prevent service disruption. Security and Identity Define and enforce least-privilege IAM policies, service accounts, and Workload Identity through Terraform. Enforce supply-chain security using Binary Authorization on production clusters. Manage secrets through Google Secret Manager and the Secrets Store CSI Driver, and manage encryption keys in Cloud KMS, including key rotation alerting. Support runtime application security tooling (e.g., Oligo) and contribute to DevSecOps practices across the delivery lifecycle. Data and Messaging Services Provision and manage Cloud SQL (PostgreSQL) instances, including database grants, certificates, backups, and performance. Manage Memorystore, Firestore, and Cloud Storage resources, including access controls and lifecycle policies. Support event-driven architectures built on Pub/Sub. CI/CD and Source Control Build, maintain, and optimise Harness CI/CD pipelines for GKE, Cloud Run, and Cloud Functions deployments, including progressive delivery and automated rollback. Manage GitHub repositories, branching strategies, pull request workflows, and automated code review integrations. Create and optimise Docker images for security, size, and build performance, and manage images in Artifact Registry. Track and deliver work through Jira using agile practices. Observability, Reliability, and Cost Configure and maintain monitoring and alerting through Splunk detectors and Google Cloud Monitoring, integrated with Microsoft Teams notifications. Define SLOs/SLIs, lead incident response, and conduct blameless post-incident reviews. Drive cost optimisation through workload scheduling, scale-to-zero environments, rightsizing, and resource governance. Automation and AI-Enabled Engineering Develop automation and tooling using Python, Bash. Use AI-assisted development tools (Gemini, Claude, GitHub Copilot) to accelerate Terraform authoring, pipeline development, troubleshooting, and documentation. Identify, propose, and prototype AI agents that automate DevOps workflows, such as Terraform plan review, pipeline failure analysis, incident triage, certificate and key-expiry management, IAM access requests, and cost reporting. Promote responsible use of AI tools, ensuring outputs are reviewed and that sensitive data and credentials are protected.

Connsci is seeking an Azure Cloud Engineer to provide support for one of our federal customers. This individual will provide network and systems engineering and administration for multiple cloud-based environments in Microsoft Azure Government Cloud and Microsoft 365 (M365) in GCC High tenants. Responsibilities Troubleshoot, triage, escalate, and assist users with issues related to hybrid network infrastructure consisting of virtual machines (VMs), servers, endpoints, appliances, and services that may be connected and/or hosted in on-premises and remote locations by the agency and partner providers. Build, configure, deploy, secure, and administer cloud system resources, servers, and other multi-user devices to support virtual machines, storage, network, and other off-premises and cloud resources. Design scalable infrastructure for IT projects to meet specified business needs, including planning and scheduling deployments and incorporating cloud optimization to improve efficiency and save on costs. Devise and implement technical solutions to suit each situation; recommends the institution of processes and technologies necessary to meet changing office requirements and improve the quality and efficiency of work products. Assess traffic flow between internal and external networks to determine the necessary firewall rules and forward/reverse proxy exceptions to establish connections successfully. Create new automated jobs and scripts to streamline routine system tasks, including Command Line interfaces, PowerShell/Bash, or experience with CI/CD pipelines to automate the deployment of code. Monitor consumption, identify inefficiencies in cloud-based systems and resources, and suggest improvements to reduce costs and maximize taxpayer value. This may include request fulfillment improvement, application performance, and systems security posture. Administer and manage cloud-based applications and services such as Microsoft 365 and Azure Virtual Desktop (AVD). Perform routine system maintenance, including operating system upgrades, resizing VM resources, and security patching on Azure VMs and servers. Assist system owners in other divisions and offices in triaging issues and escalating tickets as required. Develop, maintain, and debug current custom IT solutions and program code when needed. Produce and maintain technical documentation regarding network and system design and governance. Creating and modifying domain objects, groups, and policies in Active Directory and Group Policy Management. Perform analysis on emerging application enhancements as a benefit to the business models. Provide input and best practice recommendations to current and future policies and procedures as needed or requested. Conduct internal technical reviews to improve performance, support, and technical enhancements. Work assigned service tickets and tasks IAW the Acceptable Quality Level (AQL). Develop standard operating procedures, knowledge base articles, technical bulletins, and other documents supporting the IT Division. Provide required certifications and resume for review and validation. Demonstrate leadership and can work without supervision. Basic Qualifications At least 3 years of experience as a cloud engineer supporting cloud infrastructure and applications to include experience working with Active Directory and Microsoft Azure Current CompTIA Security+ or Microsoft Certified Azure Administrator certification Minimum Bachelor of Science degree in Information Technology, Computer Science, Engineering, or a related field from a US Department of Education accredited University. Extensive and relevant experience may be considered as a substitute for education. Preferred Skillsets/Knowledge Areas PowerShell/Bash DNS DHCP Group Policy Management DevOps methodology and tools such as Azure DevOps, Git, Docker, Kubernetes, etc. Infrastructure as Code (IaC), including provisioning template development and maintenance. Server/Desktop Virtualization Network-Attached Storage (NAS) protocols Linux OS Single Sign-On (SSO) authentication Location: This role requires onsite presence during an initial ramp up period (usually 60 days) and then allows for primarily remote work. However, occasional onsite attendance may still be required for meetings, coordination activities, and other Government-directed work. The office location is in Washington, DC and is Metro and rail accessible. About About Connsci At Connsci, our mission is to be a trusted strategic partner for our clients, helping them achieve impactful results by addressing mission-critical issues that affect their bottom line. We recognize the importance of customizing our services to best fit our clients' needs and understanding what it takes to propel their organizations forward. By implementing industry-leading best practices and leveraging our multifaceted experience and expertise, we deliver services that are essential for any organization aiming to reach its goals. What You Can Expect: Collaboration and Innovation: Work in an environment where collaboration and innovation are key. You'll have the opportunity to contribute to projects that make a real difference for our clients. Professional Growth: Be part of a team that values professional development. We offer opportunities for growth and advancement, allowing you to enhance your skills and career. Impactful Work: Engage in meaningful work that addresses mission-critical issues and supports organizations in achieving their goals. By joining Connsci, you'll become part of a dedicated team that is committed to delivering strategic, impactful solutions tailored to our clients' unique needs, enabling them to achieve their goals with confidence and efficiency. If you're passionate about cybersecurity and IT services, and eager to contribute to a dynamic team, we encourage you to explore opportunities with us. At this time, Connsci will not sponsor a new applicant for employment authorization for this position. Connsci is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Connsci makes hiring decisions based solely on qualifications, merit, and business needs at the time. Salary: $105000.00 - $145000 per year

Location/Address: 100% On-site in San Diego, CA Travel & Passport: 20%, CONUS and OCONUS Position Description We are urgently seeking an experienced Cloud Engineer III to design, build, integrate, and sustain secure cloud infrastructure and application runtime environments supporting mission-critical systems. This role will work across cloud compute, storage, containerization, Kubernetes orchestration, networking, monitoring, and security to provide reliable and scalable platforms for operational applications. The candidate will collaborate with software, platform, network, cybersecurity, and systems engineering teams to integrate commercial, government, and proprietary software into cohesive cloud-based environments. The role requires strong cloud and Linux fundamentals, hands-on troubleshooting capabilities, and the ability to solve complex infrastructure challenges while contributing to the continued evolution of scalable, automated, and secure cloud architectures. Incorporated in 2002, The Marlin Alliance is a digital transformation company dedicated to ensuring our clients compete and win in tomorrow's digital world. We specialize in creating technical solutions that allow for seamless execution of automated business processes and the generation of governed, machine-consumable data. From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge, cross-disciplinary solutions. We are seeking motivated professionals who share our agile, solution-oriented mindset and are ready to deliver the real, practical results relied upon by our clients. Duties & Responsibilities Design, deploy, configure, and sustain production cloud infrastructure supporting compute, storage, networking, containerized applications, and mission-critical workloads. Manage cloud compute and storage resources, including EC2 instances and block, file, and object storage, to maintain system availability, data persistence, performance, reliability, and efficient resource utilization. Deploy, administer, troubleshoot, and optimize containerized applications and microservices across Kubernetes environments, including container runtime, workload scheduling, service discovery, networking, ingress, and application availability. Implement and optimize dynamic resource management and scaling strategies across cloud and Kubernetes environments using workload demand, performance requirements, operational needs, and infrastructure cost considerations. Collaborate with engineering teams to design and implement application orchestration and runtime environments that integrate decoupled services, commercial products, Government Off-the-Shelf (GOTS) software, and proprietary applications into cohesive application workflows. Implement and maintain monitoring, logging, metrics, alerting, and health telemetry across cloud infrastructure, compute resources, containers, applications, and storage to support proactive system management and rapid troubleshooting. Configure and maintain cloud networking infrastructure, including VPCs, subnets, security groups, route tables, NACLs, load balancers, and supporting network services required for secure application connectivity. Partner with cybersecurity and engineering teams to implement operating system hardening, least-privilege access, IAM controls, secure network configurations, data protection requirements, and applicable security and compliance baselines. Automate infrastructure provisioning, configuration, deployment, maintenance, and operational tasks using Infrastructure as Code, scripting, CI/CD, and other automation technologies where appropriate. Provide technical guidance and troubleshooting support across cloud, Linux, Kubernetes, application, network, storage, and security environments while documenting architectures, configurations, procedures, and recommended solutions. Required Knowledge, Skills, Abilities, Education And Experience Strong experience in cloud engineering, infrastructure engineering, platform engineering, systems administration, DevOps, or related technical disciplines. Hands-on experience deploying, configuring, administering, troubleshooting, and sustaining cloud-based compute, storage, networking, and application infrastructure. Experience administering Linux-based systems and troubleshooting operating system, application, resource utilization, connectivity, and infrastructure performance issues. Experience deploying and supporting containerized applications using Docker, containerd, Kubernetes, or similar container and orchestration technologies. Understanding of Kubernetes architecture and operations, including workloads, Pods, Services, networking, ingress, resource management, scaling, and application deployment. Experience with cloud networking concepts, including virtual networks, subnets, routing, security groups, access controls, load balancing, and secure connectivity. Experience implementing or supporting monitoring, logging, metrics, alerting, and observability capabilities for infrastructure and application environments. Understanding of cloud security, IAM, least-privilege access, system hardening, data protection, network security, and secure configuration practices. Strong troubleshooting and analytical skills with the ability to diagnose complex issues spanning cloud infrastructure, Linux systems, containers, applications, storage, networking, and security. Strong written and verbal communication skills with the ability to collaborate with software, infrastructure, platform, networking, cybersecurity, program, and operational stakeholders. Preferred Skills And Experience Hands-on experience with AWS services including EC2, EBS, EFS, S3, VPCs, subnets, Security Groups, route tables, NACLs, IAM, Auto Scaling Groups, ALB/NLB, CloudWatch, and related infrastructure services. Experience administering AWS EKS or self-managed Kubernetes clusters and supporting containerized microservices in production environments. Experience implementing Kubernetes scaling and resource management using Horizontal Pod Autoscalers, Karpenter, Cluster Autoscaler, resource requests and limits, quotas, or similar capabilities. Experience with monitoring and observability technologies such as Amazon CloudWatch, Prometheus, Grafana, Datadog, OpenTelemetry, or similar platforms. Experience with Infrastructure as Code technologies such as Terraform, AWS CloudFormation, OpenTofu, or similar declarative provisioning tools. Experience integrating cloud and container deployments with CI/CD or GitOps technologies such as GitLab CI/CD, GitHub Actions, Jenkins, Argo CD, Flux, or similar platforms. Experience using Python, Bash, Go, or similar languages to automate infrastructure provisioning, administration, maintenance, monitoring, and health checks. Experience integrating GOTS, Commercial Off-the-Shelf (COTS), third-party, legacy, or proprietary software into modern cloud and containerized environments. Familiarity with AMI management, CIS Benchmarks, STIGs, vulnerability remediation, encryption, secrets management, and other security practices applicable to government cloud environments. Experience supporting distributed, hybrid cloud, or other complex application environments. Experience supporting government, defense, classified, or other security- and compliance-driven cloud environments. Education And Certification Requirements Bachelor's Degree or Equivalent Experience Current Security+ Certificate Citizenship And Clearance Requirements U.S. Citizenship required No dual citizenship TS/SCI Eligible, security clearance required Work Environment / Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. Typical office environment with no unusual hazards. The noise level in the work environment is usually moderate. Constant sitting while using the computer terminal. Constant use of sight abilities while reviewing documents. Constant use of speech/hearing abilities for communication. Occasional reaching, stooping, kneeling, or crouching may be required. Occasional lifting, up to 20 pounds. A constant state of mental alertness. Frequent work under deadlines. Job Classification Salary Range: $120,000–$200,000 Disclaimer This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an "at-will" relationship. An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

Join our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work You'll Do As a Project Software Engineer II on the HCI team, you will join the infrastructure team supporting a new unified importer identity and onboarding platform - providing full visibility across every importer entity and individual applying on its behalf, all running on AWS. You'll design, build, and operate cloud infrastructure for identity verification, biometric matching, and ACE Portal integration, working alongside developers, identity/policy specialists, and stakeholders through Release 1, Release 2, and ongoing O&M. You will work on core AWS infrastructure supporting a mobile identity-verification app, Salesforce orchestration, and ACE Portal integration, as well as biometric/identity services, including hosting and scaling Iprove (facial recognition/liveness) within AWS environment. In addition, integration infrastructure connecting to ATS/NVC (vetting), Salesforce, and ACE. Environments supporting Release 1 (Year 1 launch) and Release 2 running in parallel with steady-state O&M. Security infrastructure supporting the ATO process - access controls, audit logging, encryption for a system handling PII and biometric data. Scheduling/appointment infrastructure for background check and fingerprinting workflows, if in scope. Key Responsibilities : Design and maintain AWS infrastructure using infrastructure-as-code (Terraform/CloudFormation) Build and maintain CI/CD pipelines across two concurrent release tracks. Configure networking, IAM, and security groups per federal requirements Stand up and scale compute for biometric/ML workloads under real onboarding volume Implement monitoring/logging/alerting (CloudWatch) to support O&M Support integration between AWS-hosted services, Salesforce, ATS/NVC, and ACE Support ATO documentation and audits (access control evidence, data flow diagrams, encryption, vulnerability scanning) Collaborate with identity/policy stakeholders on credentialing infrastructure. Support patching, tuning, and capacity planning as the platform scales A successful candidate would possess : Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The Team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our Hybrid Cloud Infrastructure offering provides specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments, modernize networks and AI infrastructure from the core to the edge, and incubate new infrastructure and device services to help clients stay ahead with the latest technology advances. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals. Qualifications Required: Bachelor's degree Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Active Top Secret clearance 3+ years of experience building/operating production AWS infrastructure. 3+ years of experience with infrastructure-as-code (Terraform, CloudFormation, or similar). 3+ years of experience working with AWS core services: VPC, IAM, EC2/ECS/Lambda, S3, RDS, CloudWatch. 3+ years of experience integrating with third-party or legacy government systems, such as federal security/compliance frameworks (FedRAMP, FISMA, NIST 800-53, ATO). 3+ years of experience with CI/CD tooling and automated deployment. Preferred: 2+ years of experience with identity verification, biometric, or credentialing systems 2+ years of experience with Salesforce integration patterns 2+ years of experience with CBP, DHS, or other federal law-enforcement systems 2+ years of experience supporting systems through an ATO process AWS certification (Solutions Architect, DevOps Engineer, or Security Specialty) The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $88,600 to $147,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Summary See below for important information regarding this job. Position will be filled at any of the locations listed below. Site specific salary information as follows: Battle Creek, MI: $125,776- $163,514 Columbus, OH: $131,245- $170,624 Dayton, OH: $130,461 - $169,604 Fort Belvoir, VA: $143,913- $187,093 New Cumberland, PA: $143,913- $187,093 Ogden, UT: $125,776- $163,514 Philadelphia, PA: $138,595- $180,178 Richmond, VA: $131,385- $170,806 Duties Help Designs, engineers, configures, tests, deploys, and sustains enterprise cloud platform environments in Google Cloud Platform (GCP) that support mission systems, data platforms, artificial intelligence solutions, analytics workloads, and APIs. Performs the technical work to create foundational cloud environments and organizational components, including organization hierarchy design, project structures, shared platform services, baseline configurations, and approved deployment patterns. Builds and maintains GCP landing zones and shared platform services used to support secure onboarding of workloads into cloud environments. Builds and maintains reusable platform templates, infrastructure modules, deployment standards, and baseline configurations used across multiple efforts. Produces and maintains engineering artifacts required to support enterprise cloud platform operation, including architecture diagrams, configuration baselines, dependency records, operational standards, and sustainment documentation. Performs validation and testing of platform builds and environment changes to ensure they function correctly and support intended workloads. Requirements Help Conditions of employment Must be a U.S. citizen Tour of Duty: Set Schedule Security Requirements: Non-Critical Sensitive with Secret Access Appointment is subject to the completion of a favorable suitability or fitness determination, where reciprocity cannot be applied; unfavorably adjudicated background checks will be grounds for removal. Fair Labor Standards Act (FLSA): Exempt Selective Service Requirement: Males born after 12-31-59 must be registered or exempt from Selective Service. Recruitment Incentives: Not Authorized Bargaining Unit Status: No Pre-Employment Physical: Not Required Selectees are required to have a REAL ID or other acceptable identification documents to access certain federal facilities. See https://www.tsa.gov/real-id for more information. This position and any future selections from this announcement may be used to fill various shifts located anywhere within DLA Information Operations, J6. Qualifications To qualify for an IT Specialist (SYSADMIN), your resume and supporting documentation must include: Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position, and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after-competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: Develops and applies infrastructure patterns for development, test, staging, and production environments so that workloads can be deployed into repeatable, governable, and supportable cloud environments. Designs and configures cloud compute, storage, networking, and supporting platform services used by hosted applications, APIs, data solutions, and AI/ML workloads Diagnoses and resolves platform engineering issues such as misconfigured projects, policy conflicts, permission errors, networking failures, provisioning failures, service enablement problems, broken inherited controls, routing conflicts, DNS failures, environment drift, performance bottlenecks, storage access failures, or service integration issues that affect hosted workloads or shared cloud services. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education Substitution of education may not be used in lieu of specialized experience for this grade level. Additional information This position will close when it receives 100 applications which may be sooner than the close date. As required by 5 C.F.R. 302.106, DLA will provide Section 508 conformant ICT to employees with disabilities. All ICT interfaces with the public related to vacancy announcements and career transition opportunities must conform to the applicable requirements in the current ICT Standards and Guidelines (36 C.F.R. 1194). For Important General Applicant Information and Definitions go to: http://www.dla.mil/portals/104/documents/careers/GenAppInfoDef.pdf Reemployed Annuitants: This position does not meet criteria for appointment of Reemployed Annuitants. The DoD criteria for hiring Reemployed Annuitants can be found at: https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/140025/140025_vol300.PDF Drug-Free Workplace Policy The Defense Logistics Agency (DLA) is committed to maintaining a safe, drug-free workplace. All DLA employees are required to refrain from illegal drug use on and off duty. DLA conducts pre-employment, reasonable suspicion, post-accident, and random drug testing. Applicants tentatively selected for employment in testing designated positions will undergo a urinalysis to screen for illegal drug use prior to appointment. Refusal to undergo testing or testing positive for illegal drugs will result in withdrawal of the tentative job offer and a six-month denial of employment with DLA from the date of the drug test. Employees in drug testing designated positions are subject to random drug testing. A negative drug test result must be received by HR within 30 calendar days after the EOD (i.e., start date). The selectee's inability successfully pass; or refusal to conduct the test may result in: 1) the tentative or FJO being withdrawn during the recruitment process; or 2) subsequently being removed from Federal service for failure to meet a condition of employment. You may be required to sign a "Drug Test Statement of Understanding" if you are selected for this position. The DLA drug testing panel tests for the following substances: marijuana, cocaine, opiates, heroin, phencyclidine, amphetamines, methamphetamines, fentanyl, norfentanyl, methylenedioxymethamphetamine (MDMA), methylenedioxyamphetamine (MDA), and opioids. ADVISORY: Use of cannabidiol (CBD) products may result in a positive drug test for marijuana. DLA employees are subject to Federal law and under Federal law, Marijuana is illegal . Additional guidance on writing a federal resume can be found at: USAJOBS Help Center - How do I write a resume for a federal job? The resume builder can help you create a resume using these recommendations and uses the information in your USAJOBS profile to help you get started. Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.

Join Atlas Air Worldwide. Move the World with Us! At Atlas Air Worldwide, we're not just an airline, we're a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we're built on a foundation of safety , service excellence , integrity , innovation , teamwork , and responsibility . With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we're driven by purpose. If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here. The Senior Cloud Systems Engineer designs, engineers, automates, and continuously improves the enterprise cloud platforms and services that support Atlas Air's business-critical airline operations, digital transformation initiatives, and data and AI capabilities. This is a hands-on senior engineering role for a technologist with a proven track record of building resilient, secure, and cost-optimized cloud environments at enterprise scale. Operating primarily in AWS, the Senior Cloud Systems Engineer owns Infrastructure as Code, CI/CD automation, and platform engineering outcomes—not day-to-day manual provisioning. The role partners with cloud architects, security, DevOps, and application teams to modernize workloads, accelerate delivery, and raise engineering standards across the organization. The engineer serves as a subject matter expert and technical escalation point for complex cloud infrastructure challenges. Values And Behavioral Standards To ensure the effective communication and application of company values and behavioral standards, as stated in our company "Code of Conduct" policy, and to respond appropriately in the event of any known departure. Major Job Accountabilities (in Priority Order) Platform Engineering & Automation Design, build, and maintain Infrastructure as Code solutions using Terraform, including reusable modules, service templates, and enterprise guardrails. Develop and maintain CI/CD deployment pipelines using Git-based workflows (GitHub) to accelerate and standardize infrastructure and application delivery. Enable self-service infrastructure capabilities and automate operational processes to reduce toil and improve consistency and governance. Develop automation and tooling using Python, PowerShell, or similar languages. Cloud Architecture & Engineering Engineer AWS-based infrastructure supporting production, disaster recovery, and non-production environments. Translate business and application requirements into secure, scalable, and cost-effective cloud solutions. Design and implement disaster recovery and resiliency solutions across multiple Availability Zones and AWS Regions. Support enterprise data and AI platforms (e.g., Databricks, Amazon Bedrock) through robust cloud infrastructure engineering. Participate in solution architecture and design reviews; recommend improvements and evaluate emerging cloud services and technologies. Security & Compliance Engineer solutions aligned with enterprise security standards and implement cloud-native security controls. Maintain least-privilege access principles across IAM and enforce network and data protection controls. Support audit, compliance, and vulnerability remediation initiatives. Cost Optimization (FinOps) Analyze cloud consumption trends and identify optimization and rightsizing opportunities. Implement FinOps best practices and automation to reduce waste and support budgeting and forecasting. Operational Excellence & Support Act as a senior technical escalation point for complex cloud infrastructure incidents and problems. Implement monitoring, observability, and alerting to ensure high availability and performance. Keep IT management apprised of critical issues, systemic problems, and risks in a timely manner. Collaboration, Documentation & Delivery Partner with application teams to modernize workloads and improve deployment velocity. Champion high-quality documentation of technical processes, architectures, and runbooks that yield reproducible results. Lead knowledge-transfer activities and mentor junior engineers to raise overall team capability. Deliver assigned projects on time, within scope, and within budget, adhering to change control standards and coordinating internal and vendor resources. Required Qualifications Minimum 5+ years of progressive experience in cloud, systems, or infrastructure engineering, including 3+ years designing and supporting enterprise cloud environments. Hands-on expertise with AWS delivering highly available, secure, and reliable services (e.g., IAM, EC2, RDS, S3, Lambda, VPC, ECS/EKS). Proven experience implementing Infrastructure as Code with Terraform. Experience building and maintaining CI/CD pipelines using GitHub or equivalent Git-based workflows. Strong scripting/automation skills (Python, PowerShell, or similar). Solid foundation in Linux and Windows administration, cloud networking, and IAM/security controls. Experience supporting production environments with high-availability and disaster recovery requirements. Excellent written, verbal, and presentation communication skills; demonstrated results orientation, initiative, and ownership. Minimum 5+ years of Microsoft Windows Server environments Minimum 5+ Citrix Cloud Enterprise experience Desired Qualifications BS in Computer Science, Engineering, or a related technical field, or equivalent experience. AWS Certified Solutions Architect – Associate or Professional (or equivalent). HashiCorp Terraform Associate certification. Experience with Kubernetes/EKS, serverless, and multi-account AWS environments. Experience supporting data/AI platforms (Databricks, Amazon Bedrock) or large-scale cloud migrations. Experience in aviation, transportation, logistics, or other regulated industries. Experience mentoring engineers and comfort presenting to technical and non-technical audiences. Special Demands This position may require travel on an as-needed basis to domestic and international company locations, data centers, and training events. The role participates in an on-call rotation and may be required to respond to major incidents outside of standard business hours. Applicants must be legally authorized to work in the United States. This position is not eligible for employment visa sponsorship or employer immigration support either now or in the future. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document by clicking "EEO Is The Law" . To view our Pay Transparency Statement, please click here: Pay Transparency Statement Competitive compensation will be offered based on a variety of factors, including a candidate's experience, skills, education, geographic location, internal equity and other factors. In addition, a range of benefits to include medical, dental and vision insurance, employee assistance program, as well as generous paid time off, and 401K contributions are offered as a part of the total compensation package. Pay Range $136,500—$185,000 USD At Atlas Air Worldwide , we believe in the power of people, the promise of innovation, and the responsibility we hold to each other, to our customers, and to the planet. Join us and be part of a team that lifts more than cargo; we lift ambition.

What We Need Brady Corporation is seeking an exceptional Cloud Engineer to design, build, administer, maintain, and optimize our growing multi-cloud infrastructure and Google Workspace ecosystem. In this role, you will collaborate with cross-functional software and security teams to deploy highly available, cost-effective cloud solutions while driving collaboration and productivity through Workspace optimizations. You will play a vital part in modernizing our technological footprint and establishing best practices for cloud adoption across our global operations. What You'll Be Doing Implement and maintain secure cloud infrastructure (primarily GCP and Azure) using Infrastructure as Code (IaC) tools such as Terraform or Ansible. Administer, maintain, and optimize the Google Workspace environment (Gmail, Drive, Meet, Chat, etc.) to ensure a seamless and productive experience for end-users. Manage unified user provisioning, Cloud Identity, and role-based access control (RBAC) linking GCP and Google Workspace. Deploy, configure, and manage containerized applications utilizing Docker and Kubernetes (GKE/AKS). Monitor cloud performance, troubleshoot complex system issues, and optimize resource utilization for FinOps cost efficiency. Build, maintain, and optimize CI/CD pipelines to streamline automated deployment processes. Collaborate on the migration of legacy on-premise systems and applications to modern, scalable cloud architectures. Ensure all cloud deployments meet strict internal security standards and regulatory compliance frameworks. Participate in incident response and root-cause analysis to ensure high availability of critical services. What You Will Need To Be Successful Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience. 3+ years of experience in cloud engineering, IT infrastructure, or software development. Exceptional working knowledge of Google Cloud Platform (GCP) or Microsoft Azure services. Proven experience administering Google Workspace, Cloud Identity, and associated enterprise collaboration tools. Experience with container orchestration tools and methodologies. Proficiency in scripting languages (e.g., Python, Bash, Go) and automation frameworks. Exceptional problem-solving skills with the ability to independently troubleshoot distributed systems. Professional and courteous communication skills to effectively collaborate with both engineering teams and non-technical stakeholders. About Us Who we are: Brady makes products that make the world a safer and more productive place. We are a global leader in safety, identification and compliance solutions for a diverse range of workplaces. From the depths of the ocean to outer space, from the factory floor to the delivery room - we're just about everywhere you look. Companies around the world trust Brady because of our deep expertise and knowledge across a wide range of industries and applications - powered by our world-class manufacturing capabilities. We have a diverse customer base in industries including electronics, telecommunications, manufacturing, electrical, construction, healthcare, aerospace and more. As of July 31, 2025, Brady employed approximately 6,400 people in our worldwide businesses. Our fiscal 2025 sales were approximately $1.51 billion. Brady stock trades on the New York Stock Exchange under the symbol BRC. You can learn more about us at www.bradycorp.com. Why Work At Brady A career at Brady means working for a global company that has thrived for over 100 years, and whose innovative spirit drives our future growth. Brady offers competitive pay and great benefits, supported by a culture that encourages collaboration and innovation. We strive to foster an inclusive workplace where diverse talent can learn, grow, and succeed. And with deeply rooted values, no matter where you work at Brady, you'll feel connected to the community through our charitable contributions and opportunities to give back. Our headquarters are in Milwaukee, Wisconsin, but we have more than 70 locations globally, giving our employees the opportunity to work with colleagues around the world. Our Benefits Comprehensive insurance coverage starting on your first day of employment, including medical, dental, and vision Generous 401(k) with company match Paid time off and holidays Opportunity to participate in incentive programs for all full-time employees Family planning benefits including paid parental leave, fertility coverage, adoption and surrogacy assistance Education reimbursement opportunities Scholarship program for children of Brady employees A variety of Employee Resource Groups to provide you with unique networking, development, and volunteer opportunities Employee Assistance Program and related wellness programs (mental and behavioral health, family counseling, financial management) Dress-for-your-day dress code Charitable contributions matched through Brady's Matching Gift program