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SciTec, a Firefly Aerospace company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. Applicants that do not meet this requirement will not be considered. We are seeking a Principal Software Engineer to serve as our Deployment Environments Domain Lead. In this role, you will establish repeatable, secure, observable, and reliable practices for building, packaging, deploying, and operating the software that supports our mission critical data processing, visualization, and operational workflows. This role is hands on and combines deep technical work with technical stewardship: you will assess how our teams build and deploy software today, establish evidence-based recommendations, build reference implementations, and work directly with engineers to raise our organization-wide capability. The ideal candidate has deep, production-grade expertise in CI/CD, containerization, and Kubernetes, the ability to evaluate deployment approaches against real workload requirements, and the communication and mentoring skills to turn that expertise into practical guidance that other engineers can adopt independently. Responsibilities: The Infrastructure Principal Engineer will support various infrastructure and compute requirements across multiple locations. This person will have expertise in building and maintaining infrastructure platforms based on technologies such as VMWare, Linux and Windows. They will embody eagerness to create and own processes for enhancing the team and streamlining processes. Assess current build, packaging, and deployment practices, recurring problems, and capability gaps across engineering teams. Define evaluation criteria to select and maintain a Core Collection of recommended deployment technologies, patterns, and practices. Document recommended technologies, valid alternatives, and exceptional cases through decision guides, reference architectures, architecture decision records (ADRs), runbooks, and troubleshooting guides. Build and maintain validated reference pipelines, Helm charts, container images, and starter templates for common deployment use cases. Guide CI/CD pipeline design, automation, artifact management, and reproducible builds. Establish practices for container image construction, dependency management, image optimization, and image security. Guide Kubernetes architecture, scheduling, resource management, and workload orchestration. Establish practices for Helm and other deployment packaging, configuration management, and secrets handling. Improve local and development environments, environment provisioning, and integration testing workflows. Guide deployment strategies, rollback, release promotion, and compatibility management. Establish practices for health checks, observability, resource limits, scaling, resilience, disaster recovery, and software supply-chain security. Partner with engineers through pair programming, design and code reviews, troubleshooting, and focused workshops to support consistent adoption of recommended practices. Collaborate with Data Storage and Workload Communications domain leads on cross-domain problems such as memory pressure, pod restarts, connection saturation, and end-to-end throughput and latency. Coordinate with enterprise infrastructure and platform teams on ownership boundaries for cluster operations, cloud accounts, networking, and infrastructure provisioning. Periodically reassess and update recommendations and documentation as technologies, workloads, and engineering needs change. Track adoption and engineering outcomes against established baselines and report results to engineering leadership. Perform other duties as assigned. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related technical field. 10+ years of professional experience designing, implementing, and troubleshooting production software systems, including significant experience with build and deployment infrastructure. Deep experience with containerization (Docker and/or Podman), including image construction, optimization, and security. Deep production experience with Kubernetes, including resource management, scheduling, and troubleshooting. Experience packaging and deploying workloads with Helm or similar tools. Experience designing and maintaining production CI/CD pipelines (GitLab CI/CD, GitHub Actions, Jenkins). Experience with local Kubernetes environments (e.g., Minikube, KinD) for development and integration testing. Experience with observability, logging, and monitoring for containerized workloads. Demonstrated ability to evaluate technical alternatives, validate them through prototypes or pilots, and clearly articulate their tradeoffs. Proficiency in at least one programming or scripting language such as Python, Go, Bash, or TypeScript/Node.js. Comfortable working in Linux development environments. Strong technical writing, mentoring, and cross-team communication skills, with the ability to influence engineering practices through technical credibility. Ability to obtain and maintain a DoD security clearance. Candidates meeting the following criteria will be preferred Candidates who have any of the following skills will be preferred: Experience leading technology standardization, technical governance, or internal developer platform efforts across multiple teams. Experience with managed Kubernetes (e.g., Amazon EKS) and AWS or Azure cloud environments. Experience with Terraform or other infrastructure-as-code tools. Experience with software supply-chain security (e.g., SBOMs, image signing, vulnerability scanning) and DevSecOps practices. Experience deploying software in restricted, air-gapped, or classified environments. Active DoD Secret clearance or higher. Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance 100% company paid Hospital Indemnity insurance Voluntary Accident and Critical Illness insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $151,000 - $201,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

SciTec, a Firefly Aerospace company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. Applicants that do not meet this requirement will not be considered. We are seeking a Principal Software Engineer to serve as our Deployment Environments Domain Lead. In this role, you will establish repeatable, secure, observable, and reliable practices for building, packaging, deploying, and operating the software that supports our mission critical data processing, visualization, and operational workflows. This role is hands on and combines deep technical work with technical stewardship: you will assess how our teams build and deploy software today, establish evidence-based recommendations, build reference implementations, and work directly with engineers to raise our organization-wide capability. The ideal candidate has deep, production-grade expertise in CI/CD, containerization, and Kubernetes, the ability to evaluate deployment approaches against real workload requirements, and the communication and mentoring skills to turn that expertise into practical guidance that other engineers can adopt independently. Responsibilities: The Infrastructure Principal Engineer will support various infrastructure and compute requirements across multiple locations. This person will have expertise in building and maintaining infrastructure platforms based on technologies such as VMWare, Linux and Windows. They will embody eagerness to create and own processes for enhancing the team and streamlining processes. Assess current build, packaging, and deployment practices, recurring problems, and capability gaps across engineering teams. Define evaluation criteria to select and maintain a Core Collection of recommended deployment technologies, patterns, and practices. Document recommended technologies, valid alternatives, and exceptional cases through decision guides, reference architectures, architecture decision records (ADRs), runbooks, and troubleshooting guides. Build and maintain validated reference pipelines, Helm charts, container images, and starter templates for common deployment use cases. Guide CI/CD pipeline design, automation, artifact management, and reproducible builds. Establish practices for container image construction, dependency management, image optimization, and image security. Guide Kubernetes architecture, scheduling, resource management, and workload orchestration. Establish practices for Helm and other deployment packaging, configuration management, and secrets handling. Improve local and development environments, environment provisioning, and integration testing workflows. Guide deployment strategies, rollback, release promotion, and compatibility management. Establish practices for health checks, observability, resource limits, scaling, resilience, disaster recovery, and software supply-chain security. Partner with engineers through pair programming, design and code reviews, troubleshooting, and focused workshops to support consistent adoption of recommended practices. Collaborate with Data Storage and Workload Communications domain leads on cross-domain problems such as memory pressure, pod restarts, connection saturation, and end-to-end throughput and latency. Coordinate with enterprise infrastructure and platform teams on ownership boundaries for cluster operations, cloud accounts, networking, and infrastructure provisioning. Periodically reassess and update recommendations and documentation as technologies, workloads, and engineering needs change. Track adoption and engineering outcomes against established baselines and report results to engineering leadership. Perform other duties as assigned. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related technical field. 10+ years of professional experience designing, implementing, and troubleshooting production software systems, including significant experience with build and deployment infrastructure. Deep experience with containerization (Docker and/or Podman), including image construction, optimization, and security. Deep production experience with Kubernetes, including resource management, scheduling, and troubleshooting. Experience packaging and deploying workloads with Helm or similar tools. Experience designing and maintaining production CI/CD pipelines (GitLab CI/CD, GitHub Actions, Jenkins). Experience with local Kubernetes environments (e.g., Minikube, KinD) for development and integration testing. Experience with observability, logging, and monitoring for containerized workloads. Demonstrated ability to evaluate technical alternatives, validate them through prototypes or pilots, and clearly articulate their tradeoffs. Proficiency in at least one programming or scripting language such as Python, Go, Bash, or TypeScript/Node.js. Comfortable working in Linux development environments. Strong technical writing, mentoring, and cross-team communication skills, with the ability to influence engineering practices through technical credibility. Ability to obtain and maintain a DoD security clearance. Candidates meeting the following criteria will be preferred Candidates who have any of the following skills will be preferred: Experience leading technology standardization, technical governance, or internal developer platform efforts across multiple teams. Experience with managed Kubernetes (e.g., Amazon EKS) and AWS or Azure cloud environments. Experience with Terraform or other infrastructure-as-code tools. Experience with software supply-chain security (e.g., SBOMs, image signing, vulnerability scanning) and DevSecOps practices. Experience deploying software in restricted, air-gapped, or classified environments. Active DoD Secret clearance or higher. Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance 100% company paid Hospital Indemnity insurance Voluntary Accident and Critical Illness insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $151,000 - $201,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

Jd Job Requirements Experience Level Senior About The Role We are seeking a hands-on Cloud Engineer GCP Cloud to own the end-to-end architecture, deployment, and operational resilience of our Google Cloud Platform. In this role, you will act as both a strategic architect and a hands-on builder. You will lead the platform from Day 0 greenfield setup to production-ready infrastructure using Infrastructure as Code establish robust Site Reliability Engineering and observability practices and deploy the foundation powering our Agentic AI Solution Platform. Key Responsibilities Day GCP Architecture Setup Establish enterprise-grade GCP landing zones from scratch, including Organization Structure, IAM, and Security controls. Design and execute core cloud networking: VPCs, Shared VPCs, Firewalls, and Private Service Connect Infrastructure as Code Automation Write, test, and maintain 100% automated infrastructure code using Terraform for reproducible multi-environment setups. Build automated CI/CD pipelines for seamless infrastructure and service deployments. SRE, Observability & Reliability Engineering Establish SRE frameworks from the ground up defining SLIs, SLOs, SLAs, error budgets, runbooks, and automated incident response. Architect full-stack telemetry and observability solutions using Google Cloud Operations Suite along with Prometheus, Grafana, OpenTelemetry or Datadog. Implement custom observability for host, container, and application metrics, including dedicated tracking for LLM performance and agent latency. Design and implement Multi-Zone and Multi-Region architectures with Active-Active/Active-Passive deployment models. Security Identity Management Design and enforce enterprise-grade auth frameworks, including OAuth 2.0, OpenID Connect SAML, and Zero Trust access controls. Required Qualifications Experience GCP Expertise: 6–8+ years designing, operating, and automating production environments on Google Cloud Platform. Proven Track Record: Proven experience leading at least 3 enterprise-scale production projects built on GCP from inception through post-launch management. Terraform Mastery: Deep expertise building complex GCP environments exclusively through custom Terraform modules and automated IaC pipelines. DevOps & Scripting: Proficient in Python, Bash, Docker, and modern CI/CD tools. Certifications: GCP Professional Cloud Architect credential preferred. Work Experience 5-7Years

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.

This is a Kubernetes-heavy Senior Consultant - platform engineering role supporting large-scale, multi-cloud GPU infrastructure. Success requires deep operational judgment, disciplined debugging, strong automation skills, and the ability to protect platform stability while capacity grows rapidly. What You'll Do • Operate Kubernetes platforms at significant scale across providers, including Amazon Elastic Kubernetes Service (EKS), CoreWeave Kubernetes Service (CKS), and Google Kubernetes Engine (GKE). • Own the Kubernetes cluster lifecycle, including node-pool design and management, scheduler troubleshooting, container network interface (CNI) and network-policy troubleshooting, capacity planning, and safe rolling upgrades across large fleets. • Develop, review, and maintain infrastructure as code with Terraform, along with Python tooling and automation that improve reliability, repeatability, and operational efficiency. • Define and maintain service-level indicators (SLIs) and service-level objectives (SLOs); build monitoring and alerting that surface meaningful risks before they affect workloads. • Debug complex distributed-system failures by forming hypotheses, testing them methodically, and separating temporal correlation from causation. • Provision high-performance computing (HPC) and GPU infrastructure through the Conveyor CI/CD system across AWS, CoreWeave, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI), with additional providers as the platform expands. • Coordinate daily with Networking, Storage, Security, and AI/ML platform teams to resolve cross-system dependencies and improve the end-to-end developer and researcher experience. • Bring forward well-reasoned proposals, solutions, and informed opinions; use available tools and resources to self-unblock and drive issues to resolution. What You'll Bring Hands-on Kubernetes experience including node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across fleets. Strong Terraform proficiency and experience writing and reviewing production infrastructure as code on a daily basis. Practical Python skills for tooling and automation, including the ability to write code without relying on artificial intelligence assistance. Strong critical-thinking and debugging skills, with a disciplined approach to forming hypotheses, validating evidence, and isolating root causes. Ability to read unfamiliar code, understand its behavior, and diagnose issues effectively. Resourcefulness and a consistent ability to self-unblock using documentation, telemetry, code, peers, and available tooling. A proactive working style: you arrive with proposals, formulate solutions, and communicate informed technical opinions. Clear communication and effective collaboration across engineering teams and technical stakeholders. Working knowledge of AWS or similar Cloud services relevant to compute and data-intensive platforms, including Amazon EC2, Amazon S3, Amazon EFS, and Amazon FSx for Lustre. Experience designing or operating CI/CD pipelines and automated infrastructure provisioning workflows. Knowledge of cloud networking, storage, security, observability, reliability engineering, and platform governance. Nice-to-have: Experience using AI coding tools responsibly: you remain accountable for the solution, validate generated code, identify edge cases, and reject unnecessary or incorrect output. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That's why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The target base salary range for Senior Consultant in East Bay, Silicon Valley, and San Francisco is $149,000-$185,000. The target base salary range for Senior Consultant in San Diego, Los Angeles, Orange County, Seattle, Houston, New Jersey, New York City, Westchester, Boston, Washington DC for Senior Consultant is $136,500-$169,500. The target base salary range for Senior Consultant in all other US based Slalom locations is $125,000-$155,500. In addition, individuals may be eligible for an annual discretionary bonus . Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. We will accept applicants until 10/15/2026, or until the position is filled. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com . Please note, this recipient is not able to support recruitment inquiries beyond this purpose. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact accomodationrequest@slalom.com if you require accommodations during the interview process.

Job Description Job Description Dar Wolf is seeking a Senior Cloud Engineer to join our team. Dark Wolf's Google Cloud Engineers are responsible for designing, implementing, and managing Google Cloud Platform (GCP) solutions for our customers. The ideal candidate will have a deep understanding of GCP services and technologies, as well as experience in designing and implementing scalable, reliable, and secure cloud solutions. Responsibilities Drive and implement technology solutions on Google Cloud Work with customers, partners, and internal project team members to understand customer business requirements and translate into actionable engineering tasks Develop and maintain infrastructure as code (IaC) using tools such as Terraform Configure and manage GCP services such as Compute Engine, App Engine, Google Kubernetes Engine, Cloud Storage, Cloud SQL, DataFlow, and BigQuery Architect and implement security best practices for GCP solutions using products such as Assured Workloads, Identity-Aware Proxy (IAP), Workload Identity Federation (WIF), Cloud Logging, Cloud Monitoring, and Security Command Center Stay up-to-date on the latest GCP services and technologies and their applicability to the Public Sector space Qualifications Bachelor's degree in computer science or a related field 8+ years of experience in cloud computing 3+ years of experience with GCP 5+ years of experience with one or more programming languages (e.g. Python) Required Certifications: Sec+ and Google Professional Cloud Architect Strong understanding of Google Cloud services and technologies Experience leading technical teams including delegating tasks, reviewing designs and completed tasks by team members, and coaching junior team members Experience designing and implementing scalable, reliable, and secure cloud solutions Experience developing technical architecture documents, driving design decisions, developing documentation artifacts, and presenting technical solutions to clients and executive level leaders Experience with infrastructure automation using IaC tools such as Terraform Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments Excellent communication and teamwork skills Ability to work collaboratively with the broader team as well as independently At least one Google Cloud Professional Certification US Citizenship and active Secret clearance Preferred Qualifications Experience working within Agile teams Experience working with Google Cloud compliance products such as Security Command Center and Assured Workloads Experience ingesting, curating, and transforming raw data into clean, structured formats for data analysis Experience working with customers in the U.S. Public Sector Experience with DoD/DISA cybersecurity policies This role is primarily remote but the candidate must be located within a commutable distance to a Dark Wolf Office. The compensation for this role is estimated to be between $150,000-$170,000, commensurate on experience. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.

GCP Platform Engineer – Enterprise Cloud & AI Platform Role Summary The GCP Platform Engineer is responsible for designing, building, and operating secure, compliant, and scalable cloud and AI-enabled platforms on Google Cloud Platform (GCP). This role enables application, data, and analytics teams by providing standardized cloud infrastructure, Kubernetes platforms, and approved Google AI services while meeting financial services regulatory, security, and resiliency requirements. The engineer partners with the Cloud, Data & AI teams, Information Security, and Risk to ensure AI workloads are deployed with appropriate governance, data controls, and observability. Key Responsibilities Enterprise Cloud & AI Platform Design and maintain enterprise GCP landing zones aligned with NYL governance standards. Build and operate shared cloud services supporting both AI and non-AI workloads. Implement Infrastructure as Code (Terraform) for platform, networking, and AI service enablement. Support hybrid connectivity and secure data access patterns for AI use cases. Kubernetes, Containers & AI Workloads Engineer and operate GKE clusters for application and AI inference workloads. Enable containerized AI services and microservices using approved base images. Support GPU-enabled workloads where approved. Implement standardized deployment patterns for AI APIs and services. Google AI / GenAI Enablement Experience: 10+ years of experience in cloud, platform, or DevOps engineering. GCP Expertise: Strong hands-on experience with Google Cloud Platform. IaC: Expertise in Terraform and Infrastructure as Code. Harness IACM Containers: Experience operating Kubernetes / GKE Autopilot in enterprise environments. Scripting: Proficiency in Python, Bash, or Go. Security & Networking: Strong understanding of cloud security, IAM, and networking concepts. Governance: Experience working in regulated or highly governed environments. Desired / Preferred Qualifications (AI-Focused) Experience enabling or operating Google AI services, such as: Vertex AI (endpoints, pipelines, monitoring, agentic AI engines, and communication protocols). Gemini APIs or other managed GenAI services

Wintrust provides community and commercial banking, specialty finance and wealth management services through its 16 bank charters and nine non-bank businesses. Wintrust delivers the sophisticated solutions of a large bank while staying true to the relationship-focused, personalized service of our community banking roots. We serve clients in all 50 states with more than 200 branch banking locations in Illinois, southwestern Florida, northwestern Indiana, west Michigan and southern Wisconsin and commercial banking offices in Chicago, Denver, Milwaukee, Grand Rapids, Mich., and in key branch banking locations throughout Illinois. Our people are the heart of our business and we are proud to rank consistently as a top place to work. Wintrust is a $66 billion financial institution based in Rosemont, Illinois, and listed on the NASDAQ Global Select Market under the symbol "WTFC." Why join us? An award-winning culture! We are rated a Top Workplace by the Chicago Tribune (past 12 years) and Employee Recommended award by the Globe & Mail (past 6 years) Competitive pay and discretionary or incentive bonus eligible Comprehensive benefit package including medical, dental, vision, life, a 401k plan with a generous company match and tuition reimbursement to name a few Promote from within culture Why join this team? This position has the opportunity to interface with and have a positive impact on multiple areas of Wintrust's business We hold ourselves accountable to high standards, share wins, operate ethically, and have fun Position Overview We are seeking a skilled and motivated Senior Azure Cloud Engineer to design, implement, manage, and optimize cloud-based solutions within Microsoft Azure. This individual will join our growing IT Infrastructure Operations team and will partner closely with the Cloud Architect and other technology teams to maintain secure, scalable, and reliable cloud infrastructure while driving automation, cloud governance, and modernization initiatives. The Senior Azure Cloud Engineer will be responsible for supporting and enhancing the organization's Azure environment through cloud engineering best practices, Infrastructure as Code (IaC), DevOps automation, performance optimization, and resiliency planning. In addition to hands-on engineering responsibilities, this role will serve as a senior technical resource for the team, providing mentorship and technical guidance to existing cloud and Microsoft 365 team members to help mature internal cloud capabilities. This is full time, hybrid role based at our corporate headquarters in Rosemont, IL, reporting to the Principal System Engineer Manager. What You'll Do Cloud Infrastructure Management Design, deploy, and maintain Azure cloud infrastructure. Partner with peers to implement and manage Azure Virtual Machines, Virtual Networks, Load Balancers, and Storage Accounts. Configure and support Azure Platform as a Service (PaaS) offerings. Monitor cloud resource utilization and optimize performance and costs. Security & Cloud Governance Implement and maintain Azure security best practices and cloud governance standards. Administer Microsoft Entra ID/Azure Active Directory, Role-Based Access Control (RBAC), and identity access management. Identify, monitor, and remediate cloud security vulnerabilities. Help ensure appropriate controls, policies, and standards are incorporated into the Azure environment. Automation & DevOps Develop and maintain Infrastructure as Code (IaC) solutions using Terraform and Bicep. Build and support automated deployments using Azure DevOps and CI/CD pipelines. Develop scripts and automation using PowerShell, Azure CLI, and/or Python. Monitoring, Troubleshooting & Production Support Configure Azure Monitor, Log Analytics, and Application Insights. Troubleshoot complex infrastructure, networking, cloud, and application issues. Provide Tier 2 and Tier 3 support for Azure-related incidents and service requests. Participate in on-call support rotations as required. Disaster Recovery & Business Continuity Implement and maintain backup and recovery solutions using Azure Backup and Azure Site Recovery. Perform disaster recovery testing and validation. Develop and improve high-availability, resiliency, backup, and recovery strategies for cloud-based systems. Collaboration, Mentorship & Technical Leadership Partner closely with application, security, network, infrastructure, and operations teams. Work with the Cloud Architect to implement and mature the organization's Azure cloud strategy. Provide technical guidance and recommendations related to Azure infrastructure and cloud engineering. Mentor and train team members, including existing cloud and Microsoft 365 staff, to strengthen internal cloud engineering capabilities. Qualifications 3-5+ years of experience. Extensive hands-on experience designing, deploying, administering, and supporting Microsoft Azure environments. Strong knowledge of Azure infrastructure services, including Virtual Machines, Virtual Networks, Load Balancers, Storage Accounts, and PaaS offerings. Experience with Infrastructure as Code (IaC) using Terraform and/or Bicep. Proficiency with Azure DevOps, CI/CD pipelines, and automation scripting using PowerShell, Azure CLI, and/or Python. Strong understanding of Microsoft Entra ID (Azure AD), RBAC, cloud security, governance, and compliance best practices. Demonstrated ability to collaborate across technical teams while providing mentorship, technical leadership, and knowledge transfer. Experience supporting enterprise cloud migration and modernization projects. Microsoft Azure certifications (AZ-104, AZ-305, or comparable certifications). Benefits Medical Insurance Dental Vision Life insurance Accidental death and dismemberment Short-term and long-term Disability Insurance Parental Leave Employee Assistance Program (EAP) Traditional and Roth 401(k) with company match Flexible Spending Account (FSA) Employee Stock Purchase Plan at 5% discount Critical Illness Insurance Accident Insurance Transportation and Commuting Benefits Banking Benefits Pet Insurance Compensation The estimated salary range for this role is $100,000.00 - $132,000.00, along with eligibility to earn an annual bonus. Actual salaries may vary based on several factors, such as a candidate's qualifications, skills and experience. From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To build a company that reflects the communities we serve, we believe that fostering a unique and inclusive workplace where everyone feels valued and empowered to succeed will support our ongoing success. Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

Job Type Full-time Description Soleo Health is seeking a Senior Azure Cloud and Network Engineer to take full ownership of our Azure platform and hybrid connectivity, and to set the technical standards the rest of the organization builds against. Join us in Simplifying Complex Care! Soleo Health Perks: Competitive Wages 401(k) with a Match Referral Bonus Paid Time Off Great Company Culture Annual Merit Based Increases Paid Parental Leave Options Affordable Medical, Dental, & Vision Insurance Plans Company Paid Disability & Basic Life Insurance HSA & FSA (including dependent care) Options Education Assistance Program The Position: The Senior Azure Cloud & Network Engineer is responsible for owning the organization's Microsoft Azure platform and hybrid connectivity end to end, including architecture, networking, automation, security, cost, and reliability, and setting the engineering standards the rest of the organization builds against. This is a senior, hands-on individual contributor role with enterprise-wide responsibility for the Azure infrastructure supporting business-critical healthcare applications, data platforms, and integrations. The ideal candidate has both designed an Azure environment from the ground up and owned its ongoing administration, security, and optimization over time. This position reports to the Infrastructure and DevOps Manager and partners closely with Software Engineering, Security, Data Platform, Enterprise Applications, Finance, and external technology providers. Responsibilities Include: Architect and administer Azure infrastructure across compute, networking, storage, and identity using Terraform or Bicep as the source of truth, owning it through the full lifecycle after implementation. Serve as Soleo Health's primary technical owner for Azure, including the landing zone (management groups, subscriptions, Policy, RBAC, naming/tagging) and Entra ID integration. Design, administer, and troubleshoot Azure networking and hybrid connectivity, VNets, NSGs, Firewall, App Gateway, Load Balancer, Private Link, VPN Gateway, ExpressRoute, DNS, and hub-and-spoke, across Azure, corporate sites, hosted environments, and partners. Build and maintain CI/CD pipelines (Azure DevOps or GitHub Actions) and reusable IaC modules, with automated drift remediation and compliance checks. Lead reliability engineering: SLOs, observability via Azure Monitor and Log Analytics, incident response, root-cause analysis, and postmortems, including leading resolution of complex incidents across internal teams and vendors. Oversea cloud cost governance, rightsizing, reservations, tagging, forecasting, and anomaly detection, partnering with IT management and finance to explain variances and evaluate architecture tradeoffs. Partner with security on hardening and HIPAA/HITRUST/SOC 2 compliance; own the design and regular testing of backup, disaster-recovery, and business-continuity plans. Evaluate new Azure services and architecture patterns and provide technical direction to managed-service providers and other vendors, holding them to contractual service levels. Mentor engineers, review designs and pull requests, and communicate infrastructure risks, tradeoffs, and recommendations to technical and executive stakeholders. Schedule: Monday-Friday 8am-5pm Remote (USA) Requirements 8+ years of progressive experience in cloud infrastructure, network engineering, platform, DevOps, or SRE, including 5+ years hands-on with Microsoft Azure. Proven ownership of a production Azure environment across its full lifecycle — design, implementation, administration, security, reliability, and cost. Deep expertise with core Azure services: VNets, App Gateway, Load Balancer, Private Link, Storage, VMs, Firewall, VPN Gateway, ExpressRoute, DNS, SQL, Entra ID, and Key Vault. Advanced networking knowledge: TCP/IP, DNS, TLS, routing, firewalls, segmentation, zero trust, and hybrid-cloud connectivity. Production infrastructure-as-code experience (Terraform and/or Bicep), including module design, state management, and drift remediation. Scripting and automation in PowerShell, Python, plus Azure CLI. Demonstrated on-call ownership, complex incident leadership, and coordination across teams and providers. Experience with cost management/FinOps, DR/BC design and testing, and directing MSPs or infrastructure vendors. Strong remote, cross-time-zone communication skills, including presenting risk and tradeoffs to senior leadership, and the ability to operate independently with limited specialist backup. About Us: Soleo Health is an innovative national provider of complex specialty pharmacy and infusion services, administered in the home or at alternate sites of care. Our goal is to attract and retain the best and brightest as our employees are our greatest asset. Experience the Soleo Health Difference! Soleo's Core Values: Improve patients' lives every day Be passionate in everything you do Encourage unlimited ideas and creative thinking Make decisions as if you own the company Do the right thing Have fun! Soleo Health is committed to diversity, equity, and inclusion. We recognize that establishing and maintaining a diverse, equitable, and inclusive workplace is the foundation of business success and innovation. We are dedicated to hiring diverse talent and to ensuring that everyone is treated with respect and provided an equal opportunity to thrive. Our commitment to these values is evidenced by our diverse executive team, policies, and workplace culture. Soleo Health is an Equal Opportunity Employer, celebrating diversity and committed to creating an inclusive environment for all employees. Soleo Health does not discriminate in employment on the basis of race, color, religion, sex, pregnancy, gender identity, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an organization, parental status, military service or other non-merit factor. Keywords: Now hiring, hiring now, hiring immediately, immediately hiring Salary Description $90k-$120k

AWS Cloud Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AWS Cloud Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced AWS Cloud Engineer to design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This is a deeply hands-on engineering role spanning architecture, infrastructure-as-code, automation, security, observability, and continuous operational improvement of mission-critical production workloads. The successful candidate will bring strong working knowledge of the AWS service portfolio, deep DevOps fundamentals, and a pragmatic, cost-aware design mindset, and will partner with application, security, and SRE teams to deliver resilient, cloud-native solutions that scale with the business. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical discipline Five or more years of cloud engineering experience, with at least three years focused on AWS in production environments Strong hands-on experience with AWS core services, including EC2, VPC, IAM, S3, RDS, Lambda, CloudFront, and CloudFormation Production-grade experience with infrastructure-as-code tools such as Terraform, AWS CDK, or CloudFormation Solid experience designing and operating Amazon EKS or ECS clusters at scale Hands-on experience with CI/CD pipelines across infrastructure and application workloads Strong scripting skills in Python and Bash, with familiarity in Go or PowerShell considered a plus Deep understanding of cloud security, IAM, encryption, key management, and compliance requirements Experience implementing observability, monitoring, and alerting in cloud-native environments Strong troubleshooting, communication, and documentation skills Preferred Qualifications AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional certification Experience with multi-account AWS Organizations and centralized governance Familiarity with service mesh, eBPF-based observability, and zero-trust networking Exposure to FinOps practices and well-architected cost-optimization frameworks Experience operating regulated workloads (HIPAA, PCI-DSS, SOC 2, FedRAMP) How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899 . Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR GxW2RBxOnK

AWS Cloud Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AWS Cloud Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 10+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced AWS Cloud Engineer to design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This is a deeply hands-on engineering role spanning architecture, infrastructure-as-code, automation, security, observability, and continuous operational improvement of mission-critical production workloads. The successful candidate will bring strong working knowledge of the AWS service portfolio, deep DevOps fundamentals, and a pragmatic, cost-aware design mindset, and will partner with application, security, and SRE teams to deliver resilient, cloud-native solutions that scale with the business. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical discipline Ten or more years of cloud engineering experience, with at least three years focused on AWS in production environments Strong hands-on experience with AWS core services, including EC2, VPC, IAM, S3, RDS, Lambda, CloudFront, and CloudFormation Production-grade experience with infrastructure-as-code tools such as Terraform, AWS CDK, or CloudFormation Solid experience designing and operating Amazon EKS or ECS clusters at scale Hands-on experience with CI/CD pipelines across infrastructure and application workloads Strong scripting skills in Python and Bash, with familiarity in Go or PowerShell considered a plus Deep understanding of cloud security, IAM, encryption, key management, and compliance requirements Experience implementing observability, monitoring, and alerting in cloud-native environments Strong troubleshooting, communication, and documentation skills Preferred Qualifications AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional certification Experience with multi-account AWS Organizations and centralized governance Familiarity with service mesh, eBPF-based observability, and zero-trust networking Exposure to FinOps practices and well-architected cost-optimization frameworks Experience operating regulated workloads (HIPAA, PCI-DSS, SOC 2, FedRAMP) How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899 . Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR KK6fwwtbLD

Job Number: R0249665 Cloud Engineer The Opportunity: Manage, administer, support, and enhance cloud environments, ensuring continuous improvement and rapid problem resolution. Apply advanced skills, extensive technical expertise, and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and supervise team members. You Have: 4+ years of experience with Amazon Web Services (AWS) Experience with cloud development, migration, or implementation Experience with container orchestration Experience with Infrastructure-as-Code, including Terraform or CloudFormation, or Configuration-as-Code, including AWS SSM, Ansible, PowerShell, or Bash Experience working with Kubernetes, AWS, and Docker Top Secret clearance HS diploma or GED Nice If You Have: Experience with Identity Authentication and Authorization, including Keycloak, Single-Sign-On, SAML, or OpenID Experience with advanced networking design and troubleshooting, including DNS, routing, or subnetting Experience creating or optimizing deployment or support processes for cloud-based environments on multiple security domains Experience creating scripts in SQL and Python to automate tasks Ability to collaborate with cloud and DevOps engineers to solve technical and design problems TS/SCI clearance AWS Certified Solutions Architect - Associate or AWS Certified Developer - Associate Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.