kubernetes engineer

General Dynamics Information Technology

<div></div><div><div><div>Clearance Level
<div>Top Secret SCI + Polygraph</div>
</div><div></div><div>Category
<div>IT Infrastructure and Operations</div>
</div><div></div><div>Location
<div>Herndon, Virginia</div>
<i>(</i><i>Onsite Workplace</i><i>)</i>
</div><div>
</div></div><div><div>Key Skills For Success
</div><div><p>DevOps</p>
</div><div><p>Engineering</p>
</div><div><p>Systems Design</p>
</div></div><div></div><div><div><div><div><div><div>
</div></div></div><div><h5 class="jobSectionHeader"><b>REQ#:</b><b> </b><b>RQ225366</b></h5>
<h5 class="jobSectionHeader"><b>Public Trust:</b><b> </b><b>None</b></h5>
<h5 class="jobSectionHeader"><b>Requisition Type:</b><b> </b><b>Regular</b></h5>
<h5 class="jobSectionHeader"><b>Your Impact</b></h5>
<p>Own your opportunity to serve as a critical component of our nation&rsquo;s safety and security. Make an impact by using your expertise to protect our country from threats.</p>
<h2 class="jobSectionHeader"><b>Job Description</b></h2>
<div><p>Ensure the safety and security of our nation as a Systems Engineer at GDIT. You&rsquo;ll apply the latest technology and provide operational support to deliver actionable intelligence for the Intelligence Community. Here, your work will have meaning and impact as you deliver your best every day.</p>
<p></p><p>At GDIT, people are our differentiator. As Systems Engineer, you will help ensure today is safe and tomorrow is smarter. Our work depends on the Systems Engineer joining our team to support the deployment of systems and capabilities centered on our comprehensive motion imagery software suite. The Systems Engineer will support operations of a non-internet accessible on-prem hybrid environment built primarily on Kubernetes.</p>
<p></p><p><b>HOW A SYSTEMS ENGINEER WILL MAKE AN IMPACT:
</b></p><ul><li><p>The candidate will be expected to provide an array of skills within DevOps discipline.</p>
</li><li><p>Development and/or scripting skills (e.g., Bash, Python, Java, C#, etc)</p>
</li><li><p>Linux OS experience</p>
</li><li><p>Systems engineering experience</p>
</li><li><p>Source code management tools (Git, etc) and artifact repositories (Nexus/Atifactory, container registries, etc)</p>
</li><li><p>Experience with automation tools such as Ansible, Jenkins, Rundeck, etc</p>
</li><li><p>Experience with build/packaging tools such as Gradle, Maven Poetry, etc</p>
</li></ul><p></p><p><b>WHAT YOU&rsquo;LL NEED TO SUCCEED:
</b></p><ul><li><p>The position requires an active TS/SCI with Polygraph clearance</p>
</li><li><p>10+ years of related DevOps engineering experience</p>
</li><li><p>Bachelor&rsquo;s or Technology degree in Engineering or a related specialized area/field, OR equivalent 14 years job-related experience</p>
</li><li><p>Demonstrated experience employing DevSecOps principles, including strict configuration management, configuration-as-code, and continuous delivery</p>
</li><li><p>Demonstrated experience in building, securing, and operating containers in a dynamic environment</p>
</li><li><p>Experience working in a Kubernetes-based environment, including:</p>
<ul><li><p>A basic understanding of how Kubernetes works</p>
</li><li><p>Experience using and/or administering Kubernetes clusters</p>
</li><li><p>Experience building and deploying workloads using Helm</p>
</li></ul></li></ul><ul><li><p>Knowledge of container and Linux host networking</p>
</li><li><p>Experience with Apache Kafka</p>
</li><li><p>Experience with Elastic stack</p>
</li><li><p>Excellent organizational, coordination, interpersonal and team building skills</p>
</li><li><p>Proven problem-solving skills in complex environments</p>
</li><li><p>Location: At Customer Site &ndash; Herndon area</p>
</li></ul><p></p><p><b>GDIT IS YOUR PLACE:</b></p>
<ul><li><p>401K with company match</p>
</li><li><p>Comprehensive health and wellness packages</p>
</li><li><p>Internal mobility team dedicated to helping you own your career</p>
</li><li><p>Professional growth opportunities including paid education and certifications</p>
</li><li><p>Cutting-edge technology you can learn from</p>
</li><li><p>Rest and recharge with paid vacation and holidays</p>
</li></ul><p></p><p>#OpportunityOwned</p>
<p>#GDITCareers</p>
<p>#WeAreGDIT</p>
<p>#cjpost</p>
<p>#GDITPolyEvent</p>
<p>#JET</p>
</div></div><div><div><div><h3 class="jobSectionHeader"><b>Work Requirements</b></h3>
</div></div><div></div><div><div>Years of Experience
<p>10 + years of related experience</p>
<ul><li>may vary based on technical training, certification(s), <b><i>or</i></b> degree</li></ul>
</div><div></div><div>Certification
</div><p></p><div>Travel Required
<p>None</p>
</div><div></div><div>Citizenship
<p>U.S. Citizenship Required</p>
</div></div></div></div><div><h3 class="jobSectionHeader"><b>Salary and Benefit Information</b></h3>
<p>The likely salary range for this position is $153,000 - $207,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
</p>
<h3 class="jobSectionHeader"><b>Our Identity Verification Process</b></h3>
<p>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 virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</p>
<h3 class="jobSectionHeader"><b>About Our Work</b></h3>
<div></div><p>We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.</p>
<p>Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</p>
<p><i>Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></p></div></div></div></div>

Systems Engineer - TS/SCI w/Polygraph

Integrant

<div><p>We are seeking an exceptional Senior Lead who combines deep hands-on SysOps/HPC expertise with the strategic vision of a solution architect. This is a rare dual-track role: you operate at the intersection of elite technical execution and client-facing presales, designing and running mission-critical GPU, HPC, and Kubernetes platforms while simultaneously co-creating opportunity with our commercial teams.</p><p></p><p><br>
This role carries both SysOps, HPC depth and DevOps. You are expected to spend <b>at least 60% of your time on implementation and technical execution</b></p><p></p>
What You Will Do<p><b>
Presales &amp; Business Development</b></p><ul><li>Partner with sales and solution teams to identify and qualify new opportunities</li><li>Lead or support technical presales activities: discovery workshops, RFP responses, architecture presentations</li><li>Build and deliver proof-of-concepts (POCs) that demonstrate platform capabilities to prospective clients</li><li>Prepare high-quality technical materials</li><li>Act as a trusted technical advisor during client conversations, proposing solutions aligned to business goals</li></ul><p></p><p><b><br>
In-Account Delivery &mdash; SysOps &amp; DevOps Execution</b></p><ul><li>Operate directly within client accounts as a senior SysOps/DevOps engineer
</li><li>Run, troubleshoot, and optimize production-grade Kubernetes clusters and GPU/HPC environments hands-on</li><li>Own Linux system administration at a deep level: kernel tuning, storage, networking, performance profiling</li><li>Implement and maintain IaC pipelines, GitOps workflows, and CI/CD systems</li><li>Serve as the senior escalation point for complex operational incidents within accounts</li></ul><p></p><p><b><br>
Architecture &amp; Solution Design</b></p><ul><li>Design end-to-end platform architectures spanning cloud, hybrid, and on-premises HPC environments</li><li>Define workload isolation models, networking architectures, and storage strategies for multi-tenant platforms</li><li>Recommend and validate technology choices aligned to client scale, budget, and team maturity</li><li>Produce architecture decision records (ADRs), solution blueprints, and technical runbooks</li></ul><p></p>
Technical Competencies &amp; Requirements<p><b>
1. Architecture &amp; System Design</b></p><ul><li>Design production-grade multi-cluster Kubernetes platforms:</li><li>RKE2, EKS (AWS), AKS (Azure) at enterprise scale</li><li>GPU-aware clusters: NVIDIA H100 / A100 / B200 node pools</li><li>Hybrid cloud + on-premises HPC infrastructure</li><li>Define and document:</li><li>Workload isolation: namespaces, MIG partitioning, multi-tenancy models</li><li>Networking: BGP peering, Ingress controllers, service mesh (Istio / Cilium)</li><li>Storage: Longhorn, Ceph, distributed and high-throughput file systems</li></ul><p></p><p><b><br>
2. Platform Engineering &amp; GitOps Strategy</b></p><ul><li>Define and enforce platform standards across the delivery lifecycle</li><li>GitOps tooling: ArgoCD, Fleet &mdash; declarative cluster management</li><li>CI/CD pipelines: Azure DevOps, Jenkins &mdash; build, test, promote</li><li>Infrastructure as Code: Terraform (modules, remote state, workspaces), Ansible</li><li>Standardize cluster bootstrapping, app deployment lifecycle, environment promotion (Dev  QA  Prod)</li></ul><p></p><p><b><br>
3. AI / GPU Infrastructure Architecture (Priority Competency)</b></p><ul><li>Design and operate GPU compute platforms at scale:</li><li>GPU Operator deployment and lifecycle management</li><li>MIG (Multi-Instance GPU) partitioning for multi-tenant workloads</li><li>Advanced scheduling: Run:AI, Kubernetes-native GPU scheduling (device plugins)</li><li>Understand AI workload classes and their infrastructure implications:</li><li>Distributed training workloads (data/model/pipeline parallelism)</li><li>Inference pipelines &mdash; NVIDIA Triton Inference Server, TensorRT optimization</li><li>Align infrastructure to the full AI stack:</li><li>CUDA stack, cuDNN, NCCL collective communication libraries</li><li>High-speed networking: InfiniBand (HDR/NDR), RoCE for RDMA</li><li>GPUDirect RDMA / GPUDirect Storage for low-latency data paths</li></ul><p></p><p><b><br>
4. Observability &amp; Reliability Engineering</b></p><ul><li>Define and implement full-stack observability:</li><li>Metrics: Prometheus, Thanos (long-term retention, multi-cluster)</li><li>Logs: Loki, Fluent Bit</li><li>GPU telemetry: DCGM Exporter, NVIDIA Nsight Systems</li><li>Build operational frameworks:</li><li>SLO / SLA definitions and error budget tracking</li><li>Alerting strategy &mdash; noise reduction, severity routing</li><li>Incident response playbooks and on-call runbooks</li></ul><p></p><p><b><br>
5. Security &amp; Multi-Tenancy Architecture</b></p><ul><li>Design zero-trust security postures for multi-tenant platforms</li><li>Secret management: HashiCorp Vault, External Secrets Operator</li><li>Identity and access: IAM, RBAC, SSO/OIDC integration</li><li>Network isolation: NetworkPolicy, micro-segmentation, mTLS</li><li>Secure GPU sharing: MIG isolation, VGPU licensing, tenant boundary enforcement</li></ul><p></p><p><b><br>
6. HPC, Data &amp; Storage Architecture (Priority Competency)</b></p><ul><li>Understand the high-performance storage for AI/HPC workloads:</li><li>GPUDirect Storage &mdash; bypassing CPU for GPU-native I/O</li><li>Distributed file systems: Weka (high-throughput NFS/S3), Ceph (scalable object/block)</li><li>Storage tiering, caching strategies, and data lifecycle management</li><li>Size and validate storage architectures against workload I/O profiles</li></ul><p></p><p><b><br>
7. Operational Leadership &amp; Linux Systems</b></p><ul><li>Lead incident response and root cause analysis (RCA) for critical production issues</li><li>Define upgrade strategies, change management procedures, and disaster recovery plans</li><li>Write and maintain runbooks, operational playbooks, and knowledge base content</li><li>Integrate organizational processes, compliance requirements, and security policies into operational frameworks</li><li>Deep Linux expertise:</li><li>Kernel tuning (CPU governor, NUMA, IRQ affinity, hugepages)</li><li>Storage I/O scheduling, NVMe optimization</li><li>Network stack tuning for RDMA / InfiniBand</li><li>System performance profiling and bottleneck analysis</li></ul><p></p><p><br>
</p>Candidate Profile &mdash; Who You Are<ul><li>you are comfortable running production systems.</li><li>You have stronger SysOps and HPC depth than DevOps breadth, and you embrace that identity</li><li>You can shift fluidly between running a live incident, presenting an architecture to a CTO, and reviewing a POC demo environment</li><li>You communicate technical complexity clearly &mdash; to engineers and to C-level stakeholders</li><li>You understand why specific tooling choices matter (not just how to configure them) and can articulate trade-offs in presales conversations</li><li>You are comfortable owning outcomes across both commercial (presales) and delivery (operations) dimensions</li><li>You thrive in ambiguity and can scope both short POCs and long-horizon platform programs</li></ul><b><br>
Requirements</b><p><b><br>
Required</b></p><ul><li>10+ years in platform/infrastructure engineering, with at least 2 years in architect-level role</li><li>Proven hands-on experience operating Kubernetes at scale in production (multi-cluster, multi-tenant)</li><li>Significant Linux systems administration experience &mdash; kernel, networking, storage at a low level</li><li>HPC and/or GPU infrastructure experience &mdash; physical GPU servers, NCCL, InfiniBand, or high-speed fabrics</li><li>Demonstrable presales or client-facing experience
</li><li>IaC experience: Terraform and/or Ansible in production environments</li><li>Strong understanding of GitOps and CI/CD pipelines in enterprise settings</li></ul><p></p><p><b><br>
Strongly Preferred</b></p><ul><li>Experience with NVIDIA GPU Operator, MIG partitioning, Run:AI, or equivalent GPU scheduling tooling</li><li>Knowledge of distributed AI training infrastructure (PyTorch DDP, Horovod, DeepSpeed) from an infrastructure perspective</li><li>Familiarity with NVIDIA Triton Inference Server or TensorRT deployment pipelines</li><li>Experience with Weka, Ceph, or GPUDirect Storage in HPC/AI environments</li><li>Hands-on experience with Vault, External Secrets, and zero-trust network architectures</li><li>Exposure to bare-metal provisioning and HPC cluster management (Slurm, PBS, or equivalent)</li></ul><p></p><p><b><br>
Certifications (Advantageous)</b></p><ul><li>CKA / CKS (Certified Kubernetes Administrator / Security Specialist)</li><li>RHCE / RHCA (Red Hat Certified Engineer / Architect)</li><li>AWS Solutions Architect / Azure Solutions Architect Expert</li><li>HashiCorp Terraform Associate or Vault Associate</li><li>NVIDIA DLI certifications (GPU computing, AI infrastructure)</li></ul><b><br>
Benefits</b><br>
<ul><li>
Why Integrant?
</li><li>Competitive compensation package
</li><li>PTO, full medical and dental coverage, etc.
</li><li>Opportunity to travel and work onsite with U.S. customers
</li><li>In-house Technical and English training programs
</li><li>Dedicated learning time (check out our 4Plus1 Program) [link]
</li><li>Interest free loans
</li><li>Flexible work schedules
</li><li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Devops & SysOps Architect

<div><p>We are seeking a skilled and experienced Principal DevOps/SysOps Engineer to join our innovative team. The ideal candidate possesses a strong knowledge in Linux Servers administration, Managing clusters, monitoring tools, containerization (Docker and Kubernetes), cloud platforms (AWS, Azure, Google), infrastructure-as-code (Terraform and Ansible), and scripting languages using Bash and Python. If you are a seasoned professional with a deep understanding of the software development lifecycle, we invite you to apply and contribute to our dynamic and collaborative environment.</p><p></p><p>
If you are a passionate and experienced Principal DevOps/SysOps Engineer with a comprehensive skill set, including expertise in Linux, we encourage you to apply and contribute to our cutting-edge projects and initiatives.</p><p></p><p>
Responsibilities:</p><ul><li>
Deploy, configure, and maintain Linux and Windows servers across physical and virtual environments.</li><li>
Strong knowledge of HPC cluster management, job scheduling systems like SLURM or Run:AI</li><li>
Hands on experience of Docker containers and Kubernetes, implementation, administration and optimization within complex large scale environments</li><li>
Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, GitOps and cloud technologies.</li><li>
Proficiency in scripting languages such as Bash, Python for automation and performance tuning.</li><li>
Experience with high-speed interconnects (Infiniband, Ethernet), distributed storage systems, and cluster networking.</li><li>
Configure and maintain firewalls, load balancers, and VPNs.</li><li>
Proven ability to troubleshoot complex system and networking issues in large-scale clusters.</li><li>
Install and utilize monitoring tools to ensure the health, performance, and security of systems.</li><li>
Worked with at least one major cloud provider (AWS, Azure, or Google) to deploy and manage cloud-based solutions.</li><li>
Apply knowledge of cybersecurity best practices to enhance the security posture of systems.</li><li>
Utilize infrastructure-as-code tools like Terraform and Ansible for efficient and reproducible infrastructure deployment.</li><li>
Possess a good understanding of the software development lifecycle to collaborate effectively with development teams.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor's degree in Computer Science, Information Technology, or a related field with 5+ years of experience.</li><li>
Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, and cloud technologies.</li><li>
Strong knowledge and hands-on experience with Docker containers and Kubernetes.</li><li>
Interaction with at least one major cloud provider (AWS, Azure, or Google).</li><li>
Understanding and application of cybersecurity principles.</li><li>
Proficiency in infrastructure-as-code tools like Terraform and Ansible.</li><li>
Excellent scripting skills in Bash and Python.</li><li>
Familiarity with the software development lifecycle.</li><li>
Strong knowledge of Linux operating systems.</li></ul><p></p><p><b>
Preferred Experience:</b></p><ul><li>
CKA/CKAD/CKS certification.</li><li>
Certifications in relevant DevOps, cloud, and cybersecurity domains.</li><li>
Additional scripting languages and automation tool proficiency.</li><li>
Active participation in community forums or open-source projects.</li></ul><br>
<b>
Benefits</b><br>
<ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Employee parking space</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi</li>
<li>Social insurance</li></ul></div>

Principal SysOps Engineer

Work Generations Pvt Ltd

<p><b>Google Cloud Platform (GCP) Engineer</b></p><p><b>Company:</b> Work Generations<br/><b>Location:</b> In-House / Office Based<br/><b>Working Hours:</b> 4:00 PM &ndash; 12:00 AM<br/><b>Job Type:</b> Full-time</p><p><b>Position Overview</b></p><p>Work Generations is seeking a skilled <b>Google Cloud Platform (GCP) Engineer</b> to join our team. The ideal candidate will be responsible for designing, deploying, managing, and optimizing cloud infrastructure on Google Cloud Platform (GCP). The candidate should have experience with cloud architecture, networking, security, automation, and DevOps practices to support scalable and secure cloud environments.</p><p><b>Key Responsibilities</b></p><ul><li>Design, deploy, and manage infrastructure on Google Cloud Platform (GCP)</li><li>Configure and maintain Compute Engine, Cloud Storage, Virtual Private Cloud (VPC), Cloud SQL, and Kubernetes Engine (GKE)</li><li>Monitor and optimize cloud infrastructure for performance, availability, and cost efficiency</li><li>Implement cloud security best practices, IAM policies, firewall rules, and data protection</li><li>Automate infrastructure deployment using Infrastructure as Code (Terraform or similar tools)</li><li>Manage CI/CD pipelines for application deployment</li><li>Configure backup, disaster recovery, and business continuity solutions</li><li>Troubleshoot cloud infrastructure, networking, and application issues</li><li>Collaborate with development, DevOps, and operations teams</li><li>Maintain technical documentation and operational procedures</li></ul><p><b>Requirements</b></p><ul><li>Minimum <b>2&ndash;4 years</b> of hands-on experience with <b>Google Cloud Platform (GCP)</b></li><li>Strong knowledge of GCP services, including:</li><li>Compute Engine</li><li>Google Kubernetes Engine (GKE)</li><li>Cloud Storage</li><li>Cloud SQL</li><li>Cloud Functions</li><li>Virtual Private Cloud (VPC)</li><li>IAM (Identity &amp; Access Management)</li><li>Cloud Monitoring &amp; Logging</li><li>Experience with Docker and Kubernetes</li><li>Experience with Infrastructure as Code (Terraform is preferred)</li><li>Knowledge of Linux system administration</li><li>Strong understanding of networking concepts, DNS, VPN, Load Balancers, and Firewalls</li><li>Experience with CI/CD tools such as GitHub Actions, GitLab CI/CD, or Jenkins</li><li>Knowledge of cloud security best practices</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Google Cloud certifications (Associate Cloud Engineer, Professional Cloud Architect, or equivalent)</li><li>Experience with DevOps tools and automation</li><li>Experience with monitoring tools such as Prometheus and Grafana</li><li>Familiarity with scripting languages such as Bash or Python</li><li>Experience working in MSP, Cloud Services, or Software Development environments</li></ul><p><b>Required Skills</b></p><ul><li>Excellent problem-solving and troubleshooting abilities</li><li>Strong verbal and written English communication skills</li><li>Ability to work independently and collaboratively</li><li>Strong analytical and documentation skills</li><li>Ability to manage multiple projects and priorities</li></ul><p><b>Salary &amp; Benefits</b></p><ul><li>Competitive salary (based on experience)</li><li>Professional work environment</li><li>Career growth opportunities</li><li>Performance-based incentives</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Google Cloud Platform (GCP) Engineer

OneCard

<div>
 <p>
  We are looking for an experienced and enthusiastic Senior DevOps Engineer. As our new Senior DevOps Engineer, you will be incharge of the specification and documentation of the new project features. In addition, you will be developing new features and writing scripts for automation using Python/Java/Bash.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Job Description:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Utilize various open source technologies
  </li>
  <li>
   Use various tools to orchestrate solutions
  </li>
  <li>
   Build independent web based tools, microservices and solutions
  </li>
  <li>
   Write scripts and automation using Python/Java/Bash
  </li>
  <li>
   Configure andmanage data sources like MySQL, Elasticsearch,Redis , etc
  </li>
  <li>
   Understand how various systems work
  </li>
  <li>
   Understand how IT operations are managed
  </li>
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   Manage kubernetes based environment in a production high availability setup
  </li>
  <li>
   Manage source control including SVN and GIT
  </li>
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  <strong>
   <u>
    Job Requirements
   </u>
  </strong>
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 <p>
  <br/>
 </p>
 <p>
  &bull; Bachelor&rsquo;s Degreeor MS in Engineering or equivalent
 </p>
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  &bull; 6+ years of experience in managing Linux based infrastructure
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  &bull; 6+ years of hands-on experience at least in one scripting language
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  &bull; 6+ years of hands-on experience with databases including MySQL, Elasticsearch , Redis
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  &bull; Knowledge of Java/JVM basedlanguages
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  &bull; hands-on experience with managing cloud providers AWS , GCP , huaweicloud
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  &bull; hands-on experience with managing docker , kubernetes based environment
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  &bull; hands-on experience with implementing and managing CICD pipeline tools teamcity /jenkins
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  &bull; Ansible and terraform knowledge is a huge plus
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  &bull; Sense of ownership and pride in your performance and its impact on company&rsquo;s success
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  &bull; Critical thinker and problem-solving skills
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  &bull; Team player
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  &bull; Good time-management skills
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  &bull; Interpersonal and communication skills
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</div>


Senior DevOps Engineer

Valeo

<div>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
  </li>
  <li>
   Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
  </li>
  <li>
   Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
  </li>
  <li>
   CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
  </li>
  <li>
   Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
  </li>
  <li>
   Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
  </li>
  <li>
   Oversee the deployment, maintenance, and backup strategies for databases.
  </li>
  <li>
   Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
  </li>
  <li>
   Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Education &amp; Experience
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
  </li>
  <li>
   5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
  </li>
  <li>
   Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Technical Requirements
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
  </li>
  <li>
   Proven ability to design and implement robust, scalable, and secure cloud architectures.
  </li>
  <li>
   Mastery of Docker and Kubernetes administration.
  </li>
  <li>
   Strong proficiency in Terraform.
  </li>
  <li>
   Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
  </li>
  <li>
   Experience managing PostgreSQL and ClickHouse databases.
  </li>
  <li>
   Deep understanding of Linux System Administration.
  </li>
  <li>
   Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
  </li>
  <li>
   Strong proficiency in Python and Bash scripting.
  </li>
  <li>
   Familiarity with DevSecOps tools and practices.
  </li>
  <li>
   Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
  </li>
  <li>
   Bonus: Knowledge of Javascript/Node.js is a strong plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Soft Skills &amp; Mindset
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Ability to design long-term solutions rather than quick fixes.
  </li>
  <li>
   Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
  </li>
  <li>
   Comfortable working in a fast-paced environment with evolving requirements.
  </li>
  <li>
   Fluent English is a must.
  </li>
 </ul>
</div>


Senior DevOps Engineer, AI4ALL

Occam Solutions

<div><p>Primary Responsibility</p><p></p><p><br>
The <b>DevSecOps Engineer</b> shall serve as the lead technical engineer responsible for designing, implementing, securing, automating, and sustaining the cloud infrastructure supporting the Office of Naval Research (ONR) Data &amp; Analytics environment. The DevSecOps Engineer shall lead the implementation and execution of the technical requirements identified in <b>PWS Section 4.5 &ndash; Technical Infrastructure and Platform Support</b>, including infrastructure automation, Continuous Integration/Continuous Deployment (CI/CD), cloud security, container orchestration, Infrastructure-as-Code (IaC), and operational sustainment of the FedRAMP High and DoD Impact Level 5 (IL5) cloud environment.</p><p></p><p><br>
The DevSecOps Engineer shall architect and maintain secure cloud infrastructure, automate deployment pipelines, support AI/ML platform integration, implement cloud-native security controls, monitor system health and security events, and ensure compliance with DoD cybersecurity requirements. This position will work closely with software developers, data engineers, cloud architects, cybersecurity personnel, and Government stakeholders to deliver resilient, scalable, and secure cloud services.</p><p></p><p><br>
Duties and Responsibilities</p>
<p>
The DevSecOps Engineer shall:</p>
<ul>
<li>Design, deploy, automate, and maintain secure cloud infrastructure supporting mission applications and analytics platforms.</li>
<li>Develop, implement, and manage automated CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or equivalent technologies.</li>
<li>Build and maintain Infrastructure-as-Code (IaC) solutions utilizing Terraform, Ansible, or similar automation frameworks.</li>
<li>Implement and manage containerized application environments using Docker, Kubernetes, or comparable orchestration platforms.</li>
<li>Configure, monitor, and optimize cloud-native security services including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), endpoint protection, and Security Information and Event Management (SIEM) platforms.</li>
<li>Analyze security logs, audit events, vulnerability reports, and SIEM alerts to identify threats, recommend mitigation strategies, and support incident response activities.</li>
<li>Support continuous Authority to Operate (ATO) compliance through configuration management, security patching, vulnerability remediation, and security documentation.</li>
<li>Implement secure API management, identity and access management (IAM), secrets management, encryption, and least-privilege access controls.</li>
<li>Develop automated monitoring, logging, alerting, and operational dashboards to improve system reliability and performance.</li>
<li>Support deployment and operationalization of AI/ML platforms and services, including cloud-native machine learning environments.</li>
<li>Collaborate with software developers, data engineers, and cloud architects to integrate security throughout the software development lifecycle (SDLC).</li>
<li>Ensure cloud infrastructure complies with DoD cybersecurity policies, FedRAMP High requirements, DoD IL5 controls, and applicable security frameworks.</li>
<li>Support system scalability, resilience, disaster recovery, and operational continuity.</li>
<li>Document system architectures, deployment procedures, security configurations, and operational processes.</li></ul><br>
<p></p>
<p>
Minimum Qualifications</p>
<p>
The DevSecOps Engineer shall meet the requirements for the <b>&quot;DevSecOps Engineer &ndash; Intermediate&quot;</b> labor category as defined in the <b>CHESS ITES-3S</b> contract vehicle and possess the following additional qualifications:</p>
<ul>
<li>Seven (7) years of combined experience in DevSecOps, DevOps, SecOps, or MLOps engineering and development.</li>
<li>Five (5) years of hands-on experience designing, securing, implementing, and maintaining cloud environments, preferably within <b>AWS GovCloud</b>, <b>Azure Government</b>, or similarly regulated cloud environments.</li>
<li>Demonstrated experience supporting cloud environments operating under <b>FedRAMP High</b>, <b>DoD Impact Level 5 (IL5)</b>, or comparable federal security requirements.</li>
<li>Verifiable experience on at least two (2) projects designing, implementing, and managing Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins, GitLab CI/CD, Azure DevOps, GitHub Actions, or equivalent technologies.</li>
<li>Demonstrated expertise implementing and managing containerization and orchestration technologies, including Docker, Kubernetes, OpenShift, or similar platforms.</li>
<li>Hands-on experience implementing Infrastructure-as-Code (IaC) using Terraform, Ansible, CloudFormation, or comparable automation tools.</li>
<li>Experience configuring and administering cloud-native security capabilities including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), Security Information and Event Management (SIEM), vulnerability management, and cloud security monitoring solutions.</li>
<li>Verifiable experience analyzing security logs, SIEM data, audit records, and threat intelligence to identify vulnerabilities, investigate security events, and implement corrective actions.</li>
<li>Experience implementing secure Identity and Access Management (IAM), encryption, secrets management, and Zero Trust security principles.</li>
<li>Experience supporting automated monitoring, logging, system performance optimization, and operational sustainment of enterprise cloud platforms.</li>
<li>Strong understanding of DevSecOps best practices, secure software development lifecycle (SSDLC), and cloud security architectures.</li><br>
</ul>
<p>Qualifications</p>
<ul>
<li>Active Secret security clearance (required).</li>
<li>Current DoD 8140 (or legacy DoD 8570) cybersecurity certification applicable to privileged access functions (e.g., Security+, CySA+, CASP+, CISSP, CCSP).</li>
<li>AWS Certified DevOps Engineer &ndash; Professional, AWS Security Specialty, Azure DevOps Engineer Expert, Certified Kubernetes Administrator (CKA), or comparable cloud certifications.</li>
<li>Experience supporting AI/ML environments, including AWS SageMaker, Azure Machine Learning, or similar platforms.</li>
<li>Experience with streaming data technologies such as Apache Kafka, AWS Kinesis, or equivalent event-driven architectures.</li>
<li>Familiarity with NIST RMF, DISA STIGs, FedRAMP, Zero Trust Architecture, and DoD cybersecurity compliance requirements.</li></ul></div>

DevSecOps Engineer

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