Find Your Dream Career

NO SPONSORSHIP - NO OPT Senior Cloud Engineer SALARY: $148,750-$190,000 LOCATION: 4 days onsite, Chicago, IL Looking for a candidate with 6+ years with AWS. GCP and deep Kubernetes. Your responsibilities will be: Build and maintain a globally distributed cloud infrastructure platform using Infrastructure as Code (e.g., Terraform) Collaborate with Cloud Platform Engineering and business unit application teams to engineer infrastructure solutions for their cloud-based applications Design, deploy, and operate Kubernetes-based platforms and workloads (EKS, Cluster API), including GitOps workflows (e.g., Argo CD) Support and enhance CI/CD pipelines and infrastructure automation Perform system and database maintenance, including application deployment, backup and restoration, patching, and upgrades Maintain cloud environments through incident response, troubleshooting, and performance tuning Participate in on-call rotations and support operational readiness The ideal candidate has 6+ years of experience working with public cloud platforms (AWS and GCP preferred) in a professional setting. Deep, hands-on experience deploying and managing Kubernetes (EKS, GKE) and GitOps (Argo CD). Deep, hands-on experience using Terraform, CI/CD tools (e.g., Jenkins, GitHub Actions), and scripting languages (Python) to deploy, maintain, and support cloud infrastructure. Strong experience supporting containerized applications and Linux-based systems. Strong understanding of networking, IAM, cloud observability, and common cloud services such as AWS VPC, EC2, S3, SNS, SQS, and Lambda. Familiarity with managing secrets and sensitive configuration using tools such as HashiCorp Vault.

Overview GovCIO is currently hiring for a Kubernetes Cloud DevOps Engineer who serves as a technical leader and mentor, ensuring platform reliability, automation maturity, and operational excellence across distributed teams and environments. This position will be located on Fort Bragg, North Carolina and will be an on-site position. Responsibilities The Kubernetes Cloud DevOps Engineer is responsible for designing, deploying, and sustaining scalable, secure, and highly available cloud-native environments supporting mission-critical operations. This role operates with a high degree of autonomy, applying deep technical expertise to solve complex infrastructure and platform challenges while driving continuous improvement across cloud and DevOps ecosystems. The engineer serves as a technical leader and mentor, ensuring platform reliability, automation maturity, and operational excellence across distributed teams and environments. Cloud & Platform Engineering Design, deploy, manage, and optimize Kubernetes-based cloud environments (e.g., AWS, Azure, or hybrid DoD architectures) Administer container orchestration platforms ensuring high availability, scalability, and resilience Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform, Bicep, or CloudFormation DevOps & Automation Build and maintain CI/CD pipelines to support rapid, secure, and repeatable deployments Automate provisioning, configuration management, and application delivery workflows Drive DevSecOps best practices, integrating security into all phases of the pipeline Operations & Reliability Monitor system performance, availability, and security posture using modern observability tools Rapidly troubleshoot and resolve complex cloud and Kubernetes issues across multiple environments Lead root cause analysis and implement corrective actions to prevent recurrence Innovation & Continuous Improvement Develop and implement innovative solutions to complex technical challenges Continuously evaluate emerging technologies and recommend improvements to platform architecture Enhance system performance, cost efficiency, and operational scalability Leadership & Mentorship Provide technical guidance and mentorship to junior engineers and cross-functional teams Operate independently with minimal oversight while aligning to program and mission objectives Support team development, knowledge sharing, and DevOps maturity advancement Qualifications High School with 10+ years (or commensurate experience) Required Skills And Experience Clearance Required: TS/SCI DoD 8570 IAT Level II Certification Linux Essentials LPI Certified Kubernetes Administrator Azure Administrator Hands-on experience with Kubernetes (cluster deployment, operations, and troubleshooting) Experience with at least one major cloud provider (AWS, Azure, or GCP) Strong experience with Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation, etc.) Experience building and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, GitHub Actions) Proficiency with container technologies (Docker, container registries) Experience with monitoring/logging tools (e.g., Prometheus, Grafana, ELK, Cloud-native tools) Strong scripting skills (e.g., Python, Bash, PowerShell) Ability to communicate technical ideas and deliver briefings with cross-functional teams work in a high-demand environment and provide technical expertise on all phases of system Current and active U.S. Drivers License Current and active U.S. Passport Must have the ability to wear personal protective equipment, including a protective mask, ballistic helmet, body armor, and chemical/biological protective garments Medically/Physically fit for deployment with U.S. Military Forces Outside the Continental United States (OCONUS) under the provisions of USCENTCOM Medical Standards Preferred Skills And Ex Cisco Certified Network Professional Certified Kubernetes Application Developer AWS Solutions Architect Experience with developing tactical, expeditionary cross-domain solutions to deliver FMV across different environments, enclaves, and networks Experience with designing, installing, configuring, and troubleshooting expeditionary, global, regional, and disconnected networks, including internal LAN traffic, WAN, Satellite communications, commercial leased lines, long haul circuits, distributed packet processing, data compression, encryption, and various data transport systems Experience with evaluating projected network usage and reviewing utilization reports Experience with Agile development methodologies and working with Agile teams using collaboration tools such as Gitlab. Knowledge of network engineering in cloud and disconnected edge environments Experience supporting DoD or Federal cloud environments (e.g., IL2–IL6, GovCloud, Azure Government) Familiarity with DevSecOps, STIG compliance, and RMF frameworks Experience with service mesh technologies (e.g., Istio, Linkerd) Posted Salary Range: USD $140,000.00 - USD $160,000.00 /Yr.

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.

Varmoda is seeking a Cloud Platform and Infrastructure Engineer to provide technical guidance and cloud engineering expertise to customers adopting Google Cloud Platform (GCP) services. The role focuses on designing secure cloud foundations, automating infrastructure and application provisioning, developing cloud-ready architectures, and helping customers migrate, build, modernize, and maintain applications on GCP. The resource will serve as a trusted technical advisor, helping customers solve complex cloud infrastructure challenges while implementing scalable, secure, and reliable cloud solutions aligned with business and compliance requirements. Key Responsibilities Provide domain expertise in cloud platforms and infrastructure while solving complex cloud platform and engineering challenges. Work directly with customers to design and implement GCP-based technical architectures that support business and technical objectives. Develop and recommend cloud migration approaches and application optimization strategies. Provide best-practice guidance for secure foundational cloud implementations and cloud-ready application architectures. Design and support automated provisioning of cloud infrastructure and applications. Serve as a technical advisor to customers throughout cloud migration, modernization, implementation, and operational activities. Troubleshoot and resolve complex technical challenges related to cloud platforms, infrastructure, applications, and deployments. Provide prescriptive technical guidance to help customers effectively adopt and operate GCP services. Support cloud automation, DevOps, continuous integration, and continuous delivery practices. Develop and deliver technical best-practice recommendations, tutorials, blog articles, and sample code. Collaborate with customers and technical stakeholders to successfully deliver cloud projects. Apply cloud security practices, including identity and access management, data protection, encryption, certificate management, and key management. Required Qualifications Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 3+ years of experience with infrastructure provisioning automation, DevOps, continuous integration, or continuous delivery. Experience designing enterprise cloud solutions and supporting customer projects through completion. Hands-on experience with Google Cloud Platform (GCP) services and cloud infrastructure. Experience designing and implementing cloud-based technical architectures and migration solutions. Programming experience in one or more general-purpose languages such as Python, Java, Go, C, or C++. Knowledge of data structures, algorithms, and software design principles. Experience troubleshooting complex cloud platform and infrastructure issues. Strong customer-facing technical communication and advisory skills. Ability to provide technical recommendations and translate customer requirements into effective cloud solutions. U.S. Citizenship required to meet customer and compliance requirements, including potential access to classified information. Preferred Qualifications Knowledge of containerization and container orchestration technologies, including Google Kubernetes Engine (GKE). Familiarity with standard IT security practices, including identity and access management, data protection, encryption, certificate management, and key management. Experience designing and building prototypes or applications. Familiarity with DoD Impact Level 5 (IL5) and Impact Level 6 (IL6) security standards. Experience supporting secure cloud environments and regulated or government workloads. Experience with cloud migration, modernization, DevOps, and infrastructure automation initiatives. Certifications & Clearance U.S. Citizenship required. Top Secret (TS) clearance desired. Google Cloud certifications are beneficial but not specified as a requirement. About Varmoda Varmoda is a federal IT solutions provider founded in 2020 and headquartered in McLean, Virginia, delivering citizen-centric public services across Financial Assistance, Public Benefits, and Security & Defense domains. Our five-layer architecture — Salesforce (Engagement), Databricks (Data), ServiceNow (Orchestration), Pega (Decisioning), and Oracle HR (Capacity) — puts data at the common thread of every solution we build for federal agencies and the citizens they serve. Varmoda holds CMMI Maturity Level 3, ISO 9001, ISO 20000, and ISO 27001 certifications, and is recognized as a V3 veteran-friendly employer. Why Varmoda Growth opportunity within a fast-scaling federal IT firm Direct impact on citizen-facing federal programs Competitive benefits including 401k, health insurance, Paid Time Off, Life Insurance and others — customize per role/location (https://www.varmoda.com/benefits.html) Veteran-friendly (V3) workplace culture

Role Overview We are seeking a Senior Data & AI Infrastructure Engineer to lead the architecture, deployment, and automation of our modern data platform and agentic AI systems on Google Cloud. In this role, you will bridge data engineering, cloud infrastructure (IaC), and advanced Generative AI agents. You will design serverless data pipelines using BigQuery and Dataform while building and deploying AI Agents powered by Google Cloud's Agent Development Kit (ADK) and Vertex AI Agent Engine. Required Skill Set & Technical Requirements Infrastructure as Code (IaC) & Cloud Management Terraform Proficiency in writing modular, clean, and testable Terraform code (HCL) to provision Google Cloud Platform (GCP) resources. Hands-on experience automating the lifecycle and deployment of BigQuery datasets, Dataform workspaces, and Vertex AI Agent Engine/Reasoning Engine resources via Terraform. Deep understanding of CI/CD integration for Terraform state management, plan validation, and zero-downtime infrastructure updates. Modern Data Platform & Engineering BigQuery Advanced SQL mastery, partition/clustering strategies, materialization strategies, and performance optimization for enterprise data warehouses. Experience with BigQuery ML, remote functions, and integration with generative AI toolsets. Dataform Expertise in organizing, executing, and testing data transformation pipelines using SQLX and JavaScript within Dataform. Ability to configure data assertions, execution dependencies, and incremental load strategies. Experience using automated AI assistants or Data Engineering Agents to optimize data transformation workflows. AI Agents & Software Engineering AI Agents & ADK (Google Agent Development Kit) Core understanding of Agentic workflows: reasoning loops, function calling/tooling, prompt orchestration, dynamic skill sets (SkillToolset), and context management. Hands-on experience building conversational, analytics, or task automation agents using the Google Cloud ADK framework. Proven ability to equip ADK agents with custom toolsets (e.g., querying BigQuery, triggering Dataform runs) and package them for production using Vertex AI Reasoning Engine / Agent Engine. Python Senior-level Python proficiency (Python 3.10+), clean code architecture, Object-Oriented Programming (OOP), and async pro

Washington D.C. Pay Range: $120,000 - $140,000 USD LightFeather is seeking a GCP Cloud/DevOps Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment. This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment. Location: In-Person (5 days/week) in Washington, DC Job Type: Full Time Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance Key Responsibilities Design, implement, and manage secure and scalable cloud infrastructure using GCP. Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools. Support CI/CD pipeline automation, integration, and management. Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows. Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs. Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST). Provide documentation and knowledge sharing with the broader engineering team. Required Qualifications Willing to obtain a security clearance. 4+ years of experience in cloud engineering, with at least 2 years on GCP. Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery. Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager. Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build. Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum environment. Preferred Skills GCP Professional Cloud Architect or DevOps Engineer certification. Experience supporting federal government contracts and understanding of ATO processes. Familiarity with other cloud platforms (AWS, Azure) is a plus. Scripting skills in Python, Bash, or Go. Why Join LightFeather? At LightFeather, you're not just taking a job—you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry. LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

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.

Name of Employer: GameStop, Inc. Position Title: Lead GCP Engineer Job Location: 625 Westport Parkway, Grapevine, TX 76051 Salary: $146,515.00/year Hours: Monday – Friday, 9:00 am to 5:00 pm Summary Of Duties Design, develop, and maintain automated CI/CD pipelines using cloud-hosted services on GCP and AWS. Develop and support batch and real-time data ingestion pipelines and streaming analytics solutions using standardized architectures. Build and operate data processing workflows using GCP services including BigQuery, Cloud Storage, and the Google Cloud SDK (bq, gsutil). Develop and manage data orchestration workflows using Airflow (DAGs) to schedule and monitor pipeline execution. Implement event-driven and streaming integrations using services such as Pub/Sub and Dataflow, as required by solution design. Provision and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Chef, while maintaining configuration standards. Deploy, operate, and support container-based applications using Kubernetes platforms including Google Kubernetes Engine (GKE) and AWS-managed Kubernetes services, as applicable. Implement and maintain monitoring, alerting, and performance health checks to ensure the availability and reliability of cloud infrastructure and data pipelines. Develop and enhance ETL automation using cloud-centric tools, Terraform automation, and scripting with Python and shell scripting. Collaborate with leadership, architects, and development teams to translate requirements into scalable cloud and data engineering solutions. Conduct code reviews and mentor engineers to improve code quality and support DevOps deployment processes. Write and validate SQL queries to verify datasets and troubleshoot data processing issues. Qualifications Bachelor's degree in Information Technology, Engineering (Any), Analytics, or a related field of study AND Five (5) years of experience in the job offered or related occupation in which the required experience was gained. Applicants must have demonstrated experience with the following: Google Cloud Platform (GCP) or comparable public cloud platforms, including hands-on use of managed cloud services; Using BigQuery, Cloud Storage, and the Google Cloud SDK, including tools (bq and gsutil); Building and maintaining data workflows using Apache Airflow (DAGs), cloud data processing services (Dataflow) and messaging/streaming services (Pub/Sub); Developing and maintaining CI/CD pipelines using tools (GitLab, Jenkins/Drone), and build tools (Maven); Provisioning and managing cloud infrastructure using Infrastructure as Code (IaC) tools (Terraform) and configuration management tools (Chef); Object-oriented programming using Python and/or Java, including applying common design patterns; Shell scripting and Python for automation; Working knowledge of SQL, including the ability to write queries to validate and verify datasets; and Working in environments that follow Agile development practices. To Apply To apply, submit a resume to GameStop Careers & Job Opportunities | Apply Today | GameStop, OR submit a resume to https://www.workintexas.com/, OR mail resume to: GameStop, Inc., Attn: HR, 625 Westport Pkwy, Grapevine, TX 76051. Must reference Job Title & Job Code: 000458.

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.

Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We Are Proud Of The work we do and the innovation we drive Our values of share, care and dare Our borderless, global framework, which enables seamless collaboration The role As a Lead Cloud Engineer , you are passionate about experience innovation and eager to push the boundaries of what's possible. You bring [7+ years] of experience, a growth mindset and a drive to make a lasting impact. You Will Thrive In This Role If You Are A curious problem solver who challenges the status quo A collaborator who values teamwork and knowledge-sharing Excited by the intersection of technology, creativity and data Experienced in Agile methodologies and consulting (a plus) Role Responsibilities Design, deploy and manage secure GCP infrastructure with Terraform, including reusable modules, remote state and environment promotion. Build and maintain CI/CD pipelines for infrastructure changes, with code review, policy checks and automated validation. Design and operate cloud networking: VPC architectures, subnets, firewall rules, Cloud NAT, Cloud DNS and load balancing. Set up hybrid connectivity with Cloud VPN or Cloud Interconnect and manage shared networking across projects. Apply IAM least privilege, organization policies, service accounts and secrets management across projects. Set up monitoring, logging and alerting with Google Cloud Operations Suite, Prometheus or Grafana. Improve availability, performance and cost efficiency, and support incident response and root cause analysis. Automate recurring operational tasks with Python or Bash. Use AI assistants such as Gemini and Claude to develop and review infrastructure code, and to speed up documentation and troubleshooting. Set infrastructure standards, review changes and mentor other engineers. Work with application, security and delivery teams, and document designs and runbooks. Must Have Qualifications To be considered for this role, you must meet the following essential qualifications: [7+ years] in cloud or infrastructure engineering, including [3+ years] of hands-on experience with Google Cloud Platform. Expert-level infrastructure and networking skills within GCP, including VPC design, firewalls, load balancing, DNS, shared VPC, and VPN or Interconnect. Hands-on experience with Terraform building and maintaining infrastructure as code. Working knowledge of core GCP services such as Compute Engine, GKE, Cloud Storage and IAM. Experience with CI/CD tools and Python or Bash Experience designing landing zones, resource hierarchy and governance on GCP. Experience with AI-native delivery, using AI assistants to develop code and automate infrastructure work, with familiarity with Gemini and Claude. Experience guiding technical work or mentoring other engineers. Strong communication skills and a collaborative approach with client teams. Nice To Have Qualifications Google Cloud certification, such as Professional Cloud Architect, Professional Cloud DevOps Engineer or Professional Cloud Network Engineer. HashiCorp Certified: Terraform Associate. Experience with data center to GCP migrations. Experience operating Kubernetes (GKE) Experience with observability tools such as Cloud Operations Suite, Prometheus and Grafana. If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. The Benefits This is a FTE position based in United States, with a Salary between 115k to 130k annually, depending on experience and location. Beyond a Competitive Compensation Package, We Offer Flexibility, with remote and hybrid work options (country-dependent) Career advancement, with international mobility and professional development programs Learning and development, with access to cutting-edge tools, training and industry experts Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. Your application process Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we'll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L'Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don't just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what's next? Join us.

Senior / Staff Cloud Platform Engineer (ML Platform) Location: South San Francisco, CA (4 Days Onsite) Compensation: $220,000 - $290,000 Base + Bonus About the Role We're seeking a Senior or Staff Cloud Platform Engineer to help build and scale the cloud infrastructure powering advanced machine learning and research workloads. This role sits at the intersection of platform engineering, cloud infrastructure, Kubernetes, and developer tooling, with a strong focus on enabling researchers and engineers to move faster through automation and platform development. This is a highly hands-on engineering role, and strong Python development expertise is a non-negotiable requirement. The ideal candidate has extensive experience building production-grade infrastructure, platform services, automation frameworks, and operational tooling using Python. What You'll Do Architect and operate large-scale cloud infrastructure within GCP. Build and maintain platform services, automation tooling, and infrastructure applications using Python . Develop internal developer platforms and self-service tools that improve engineering productivity. Design and manage Kubernetes-based environments supporting machine learning and distributed compute workloads. Implement Infrastructure as Code using Terraform. Build automated workflows for infrastructure provisioning, governance, security, and compliance. Drive improvements in observability, reliability, performance, and cloud cost optimization. Partner closely with software engineers, ML engineers, and researchers to deliver scalable platform solutions. Establish best practices around platform engineering, cloud operations, and automation. Required Qualifications MUST HAVE Strong production-level Python development experience. Python should be a primary language, not simply a scripting tool used occasionally. Experience building infrastructure tooling, platform services, automation frameworks, APIs, or operational systems in Python. Ability to write clean, maintainable, and scalable Python code in a production environment. Additional Requirements 7+ years of experience in Platform Engineering, Cloud Engineering, SRE, DevOps, Infrastructure Engineering, or related disciplines. Deep expertise with Google Cloud Platform (GCP). Strong Kubernetes administration experience in production environments. Experience with Terraform and Infrastructure as Code. Experience with Docker, CI/CD pipelines, and cloud-native technologies. Strong understanding of distributed systems, cloud architecture, networking, and security. Excellent troubleshooting and systems design skills. Preferred Experience ML platform, AI infrastructure, or research computing environments. GPU, TPU, HPC, or distributed compute orchestration. Golang experience. Experience building internal developer platforms. Background working in fast-paced, highly technical environments. A strong intellectual curiosity for life sciences Why This Opportunity Own foundational infrastructure used across the organization. Influence the architecture of a next-generation ML platform. Work on challenging cloud, Kubernetes, and distributed systems problems. Collaborate directly with highly technical engineering and research teams. Competitive compensation package with a $220K-$290K base salary plus bonus . Location South San Francisco, CA 4 days onsite per week Note: Candidates without significant, hands-on Python engineering experience will not be considered. Python is a core requirement for this role.