linux devops engineer

Vantor

<div>Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what&rsquo;s happening now and shape what&rsquo;s coming next. Vantor is a place for problem solvers, changemakers, and go-getters&mdash;where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
Vantor is seeking a Mid-Level DevOps Engineer located in Herndon, VA, to support the development, integration, and cybersecurity compliance of various intelligence capabilities into a Development and subsequently Production environment. This role is ideal for someone who sees DevOps not just as automation, but as a software engineering discipline focused on building scalable, reliable systems and developer platforms. You will be a member of a project team responsible for designing and maintaining multiple DevOps pipelines integrating and deploying numerous components into the larger system technology stack. Deployment will be across multiple networks into private cloud infrastructures self-hosted for our government customer. 
As a Vantor team member, you will closely support our mission partners, and your work will have direct mission impact. In this role, you'll work closely with other DevOps engineers, software developers, infrastructure technicians and cybersecurity professionals leveraging open-source technology to create and maintain the full stack of a High-Performance Computing (HPC) system that hosts a diverse range of applications served out to thousands of users. 
About Us:<ul><li>
We are a multi-faceted technical team with expertise spanning the full stack of cloud computing technologies including systems administration, DevOps, cybersecurity, software development, and systems engineering that builds and maintains software applications backed by a self-managed cloud infrastructure with a true big-data footprint (over 10 petabytes)</li><li>
Our diverse background of experience in mission support and technology development and operations serves as a catalyst to solve unique and challenging intelligence problems in support of special operations analysts and their on-going activities.</li><li>
Prototyping and frequent, iterative feedback are core to our delivery approach, anchored by a need to work quickly in support of our missions.</li></ul> 
Principal Responsibilities:<ul><li>
Deploy, and manage highly available applications to ensure system reliability and scalability.</li><li>
Write clean, maintainable code (e.g., Python, Go, Java, or similar) to automate cybersecurity workflows.</li><li>
Build and maintain custom CLI tools, APIs, and dashboards that streamline the developer experience.</li><li>
Implement, and maintain HashiCorp Nomad clusters and Kubernetes clusters for workload orchestration.</li><li>
Execute DNS configuration, management, and performance tuning for enterprise-grade systems.</li><li>
Develop and implement Infrastructure-as-Code (IaC) solutions using tools like Terraform, Ansible, or similar.</li><li>
Build and manage multiple CI/CD pipelines with GitLab or equivalent tools to automate deployments and streamline development workflows for rapid development and integration.</li><li>
Perform system monitoring, logging, and troubleshooting to proactively identify and resolve issues.</li><li>
Automate security testing and monitoring within the DevOps workflows using ACAS and Trivy.</li><li>
Analyze cybersecurity scan findings and work with the cybersecurity team to identify false positive findings.</li><li>
Assist the cybersecurity team in assembling the required Body of Evidence to submit for False Positive exceptions.</li><li>
Assist the cybersecurity team in assembling the required Body of Evidence to submit containerized and non-containerized software packages for enterprise software approval.</li><li>
Integrate static code analysis tools such as GitLab SAST, Fortify or Sonarqube and other security mechanisms into CI/CD pipelines.</li><li>
Build and maintain custom tools to automate cybersecurity analysis and correlation workflows as new cybersecurity compliance requirements emerge.</li><li>
Perform cybersecurity remediation on DevOps managed Virtual Machines to include OS patching, OS STIGing, and software package updates.</li><li>
Build, maintain, and monitor configuration management of release products.</li><li>
Troubleshoot and resolve network, automation pipelines, and infrastructure issues.</li></ul> 
Minimum Requirements:<ul><li>
Must have a current/active TS/SCI and be willing and able to pass a CI polygraph.</li><li>
Must be able and willing to work in a SCIF environment in Herndon, VA 40/hours a week.</li><li>
Minimum of 5+ years of Industry experience as a DevOps engineer and a Bachelors degree in Computer Science, Information Systems or related field (or a Masters degree and 3 years experience).</li><li>
Strong programming skills in at least one language (e.g., Python, Go, Java, C#, or similar).</li><li>
Strong expertise in cloud environments, including deployment, optimization, and troubleshooting.</li><li>
Proven track record in building and operating Cloud Native Applications using tools like Kubernetes and Docker.</li><li>
Experience in managing, integrating and utilizing PKI certificates for user and Non-Person-Entity Authentication and Authorization.</li><li>
In-depth experience with IaC tools such as Terraform, Ansible, or equivalent.</li><li>
Solid experience in creating and managing CI/CD build pipelines using GitLab or similar tools (e.g., Jenkins, Azure DevOps).</li><li>
Strong scripting and automation skills using Python, Bash, or equivalent languages.</li><li>
Excellent problem-solving skills with attention to detail and the ability to thrive in a fast-paced environment.</li><li>
Experience with security best practices in DevOps pipelines (e.g., Trivy, Grype, GtiLab SAST, Sonarqube, etc.).</li><li>
Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.</li><li>
Strong knowledge of networking and load balancing technologies.</li><li>
Experience with source configuration management tools such as Git.</li><li>
CI &amp; CD development experience with technologies like Bash, Jenkins, or GitLab.</li><li>
Experience with automated deployment technologies such as Cloud Formation, Ansible, Puppet or Chef.</li><li>
Cloud Technologies deployment experience.</li><li>
Open-source application deployments and maintenance.</li><li>
Custom source application deployments and maintenance.</li><li>
Moderate LINUX system administration experience (RedHat, Rocky Linux, Alma Linux or similar)).</li><li>
Working knowledge of Linux and Windows operating systems, web services and SQL databases.</li><li>
Experience working in an Agile environment.</li></ul> 
Desired Skills:<ul><li>
Security+ or comparable certification for privileged user access.</li><li>
Experience with distributed processing methods and tools, such as REST APIs, microservices, IaaS/PaaS services.</li><li>
Experience developing and deploying web services.</li><li>
Experience in implementing Docker STIGs.</li><li>
Experience with technical cybersecurity remediation in the context of a Continuous Monitoring (CONMON) program.</li><li>
RHCSA or LPIC1/LPIC2 certifications or equivalent.</li><li>
Certified Kubernetes Administrator certification.</li><li>
Docker Certified Associate.</li></ul>
#cjpost
#LI-CJ1
#LI-Onsite
Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate&rsquo;s experience, expertise, and alignment with the role.<h1 class="jobSectionHeader"> 
</h1><ul><li>The base pay for this position within the Washington, DC metropolitan area is: $116,000.00 - $154,000.00 - $169,400.00 annually.</li></ul>
For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.</div>

DevOps Engineer (TS/SCI)

McAfee

<div>Role Overview: The Senior DevOps Engineer is responsible for building and operating production-scale platform engineering capabilities on Kubernetes (Amazon EKS/GKE), with a strong focus on reliability, scalability, and developer productivity. 
This is a highly hands-on role focused on implementing and enhancing cloud-native platforms, CI/CD systems, developer platforms (Backstage), and secure software delivery practices. The role works closely with platform, SRE, and engineering teams to improve system reliability and engineering efficiency. 
The ideal candidate has strong expertise in cloud-native technologies, enterprise CI/CD, and large-scale production environments. 
This is a Hybrid Position located in Frisco, TX. We are only considering candidates within a commutable distance to the Frisco office. You will be required to be onsite on an as-needed basis; when not working onsite, you will work from your home office. Position Details:

About the Role:<ul><li>
Design, implement, and operate large-scale Kubernetes platforms (EKS/GKE), including multi-region deployments for high availability and scalability.</li><li>
Manage Kubernetes cluster lifecycle including provisioning, upgrades, patching, scaling, &amp; BCP/DR.</li><li>
Build and enhance CI/CD pipelines using GitHub Actions, and Harness to improve deployment efficiency and reliability.</li><li>
Design, build, and operate EKS clusters with technologies such as Karpenter, Cilium, Istio/Envoy, and IRSA/Pod Identity.</li><li>
Contributes to the implementation and adoption of Backstage as a developer platform, including templates, scaffolding workflows, and service catalog.</li><li>
Build reusable Infrastructure as Code (Terraform) modules and platform automation frameworks.</li><li>
Implement AI-driven capabilities such as deployment risk analysis, anomaly detection, and pipeline insights (where applicable).</li><li>
Develop strategies for upgrades and patching with minimal downtime and operational risk.</li><li>
Support platform security posture by implementing DevSecOps practices and secure software supply chain controls.</li><li>
Define and contribute to platform observability, including metrics, logs, traces, and operational dashboards.</li><li>
Define SLIs/SLOs and platform health metrics.</li><li>
Participate in incident response, root cause analysis, and reliability improvement initiatives.</li><li>
Collaborate with cross-functional teams to improve developer experience, platform adoption, and operational efficiency.</li></ul>
About You:<ul><li>
5+ years in DevOps / Platform Engineering with strong hands-on experience in Kubernetes (EKS/GKE) at production scale.</li><li>
Proficient in Terraform and CI/CD pipelines (GitHub Actions, Jenkins, Harness) with focus on automation, reliability, and scalability.</li><li>
Strong programming skills in Golang or Python and solid understanding of Kubernetes networking, RBAC, and autoscaling.</li><li>
Hands-on experience with Backstage developer platform, including software templates, scaffolding workflows, and service catalog.</li><li>
Ability to build and contribute to golden paths and reusable developer workflows to improve engineering productivity and adoption.</li><li>
Experience working across multi-cloud environments (AWS + GCP) and understanding cross-cloud deployment patterns.</li><li>
Experience with service mesh (Istio / Envoy), Cilium, and API gateways (Envoy Gateway, Kong).</li><li>
Familiarity with JFrog Artifactory / Curation or similar artifact governance tools.</li><li>
Understanding of Apache Kafka architecture and operations.</li><li>
Exposure to AI-powered DevOps / AIOps solutions for deployment insights and automation.</li><li>
Experience implementing DevSecOps practices and securing software supply chains within CI/CD pipelines.</li><li>
Strong communication, collaboration, and technical documentation skills.</li><li>
Contributions to CNCF ecosystem or Backstage OSS are a plus.</li><li>
Cloud architecture certifications (AWS/GCP Solutions Architect) is a plus.</li><li>
Kubernetes certifications (CKA, CKAD, CKS) is a plus.</li><li>
DevOps &amp; Infrastructure: HashiCorp Terraform Associate or equivalent CI/CD certificate is a plus.</li></ul>
#LI-Hybrid
Company Overview: McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users&rsquo; needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:<ul><li>
Bonus Program</li><li>
401k Retirement</li><li>
Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage</li><li>
Paid Parental Leave</li><li>
Support and Community Involvement</li><li>
14 Paid Company Holidays</li><li>
Unlimited Paid Time Off for Exempt Employees</li><li>
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year</li></ul>
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Pay Range: The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications. Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.</div>

Sr. DevOps Engineer

OneCard

<div>
 
 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.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 <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>
 <li>
 Manage kubernetes based environment in a production high availability setup
 </li>
 <li>
 Manage source control including SVN and GIT
 </li>
 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s Degreeor MS in Engineering or equivalent
 
 
 &bull; 6+ years of experience in managing Linux based infrastructure
 
 
 &bull; 6+ years of hands-on experience at least in one scripting language
 
 
 &bull; 6+ years of hands-on experience with databases including MySQL, Elasticsearch , Redis
 
 
 &bull; Knowledge of Java/JVM basedlanguages
 
 
 &bull; hands-on experience with managing cloud providers AWS , GCP , huaweicloud
 
 
 &bull; hands-on experience with managing docker , kubernetes based environment
 
 
 &bull; hands-on experience with implementing and managing CICD pipeline tools teamcity /jenkins
 
 
 &bull; Ansible and terraform knowledge is a huge plus
 
 
 &bull; Sense of ownership and pride in your performance and its impact on company&rsquo;s success
 
 
 &bull; Critical thinker and problem-solving skills
 
 
 &bull; Team player
 
 
 &bull; Good time-management skills
 
 
 &bull; Interpersonal and communication skills
 
 
 
</div>

Senior DevOps 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>
(Onsite Workplace)
</div><div>
</div></div><div><div>Key Skills For Success
</div><div>DevOps
</div><div>Engineering
</div><div>Systems Design
</div></div><div></div><div><div><div><div><div><div>
</div></div></div><div><h5 class="jobSectionHeader">REQ#: RQ225366</h5>
<h5 class="jobSectionHeader">Public Trust: None</h5>
<h5 class="jobSectionHeader">Requisition Type: Regular</h5>
<h5 class="jobSectionHeader">Your Impact</h5>
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.
<h2 class="jobSectionHeader">Job Description</h2>
<div>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.
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.
HOW A SYSTEMS ENGINEER WILL MAKE AN IMPACT:
<ul><li>The candidate will be expected to provide an array of skills within DevOps discipline.
</li><li>Development and/or scripting skills (e.g., Bash, Python, Java, C#, etc)
</li><li>Linux OS experience
</li><li>Systems engineering experience
</li><li>Source code management tools (Git, etc) and artifact repositories (Nexus/Atifactory, container registries, etc)
</li><li>Experience with automation tools such as Ansible, Jenkins, Rundeck, etc
</li><li>Experience with build/packaging tools such as Gradle, Maven Poetry, etc
</li></ul>WHAT YOU&rsquo;LL NEED TO SUCCEED:
<ul><li>The position requires an active TS/SCI with Polygraph clearance
</li><li>10+ years of related DevOps engineering experience
</li><li>Bachelor&rsquo;s or Technology degree in Engineering or a related specialized area/field, OR equivalent 14 years job-related experience
</li><li>Demonstrated experience employing DevSecOps principles, including strict configuration management, configuration-as-code, and continuous delivery
</li><li>Demonstrated experience in building, securing, and operating containers in a dynamic environment
</li><li>Experience working in a Kubernetes-based environment, including:
<ul><li>A basic understanding of how Kubernetes works
</li><li>Experience using and/or administering Kubernetes clusters
</li><li>Experience building and deploying workloads using Helm
</li></ul></li></ul><ul><li>Knowledge of container and Linux host networking
</li><li>Experience with Apache Kafka
</li><li>Experience with Elastic stack
</li><li>Excellent organizational, coordination, interpersonal and team building skills
</li><li>Proven problem-solving skills in complex environments
</li><li>Location: At Customer Site &ndash; Herndon area
</li></ul>GDIT IS YOUR PLACE:
<ul><li>401K with company match
</li><li>Comprehensive health and wellness packages
</li><li>Internal mobility team dedicated to helping you own your career
</li><li>Professional growth opportunities including paid education and certifications
</li><li>Cutting-edge technology you can learn from
</li><li>Rest and recharge with paid vacation and holidays
</li></ul>#OpportunityOwned
#GDITCareers
#WeAreGDIT
#cjpost
#GDITPolyEvent
#JET
</div></div><div><div><div><h3 class="jobSectionHeader">Work Requirements</h3>
</div></div><div></div><div><div>Years of Experience
10 + years of related experience
<ul><li>may vary based on technical training, certification(s), or degree</li></ul>
</div><div></div><div>Certification
</div><div>Travel Required
None
</div><div></div><div>Citizenship
U.S. Citizenship Required
</div></div></div></div><div><h3 class="jobSectionHeader">Salary and Benefit Information</h3>
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.

<h3 class="jobSectionHeader">Our Identity Verification Process</h3>
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.
<h3 class="jobSectionHeader">About Our Work</h3>
<div></div>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.
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</div></div></div></div>

Systems Engineer - TS/SCI w/Polygraph

Fervo Energy

<div>Description:

 The Senior Cloud Engineer builds, automates, and operates Fervo&rsquo;s Azure-native cloud platform, turning architectural designs into repeatable, well-governed infrastructure. The role centers on infrastructure as code, GitHub-based delivery, self-service platform capabilities, and automated configuration of Linux and Windows systems. Success requires hands-on engineering, demonstrated coding ability, and the discipline to manage infrastructure through version-controlled, peer-reviewed practices rather than manual change.
Requirements:

Responsibilities
Infrastructure as Code &amp; Delivery<ul><li>
Build and maintain infrastructure as code (Terraform and/or Bicep) and reusable modules to provision Azure resources consistently across environments and sites</li><li>
Build CI/CD pipelines in GitHub Actions and enforce GitOps workflows where changes flow through version control, pull requests, and peer review</li></ul>
Platform Engineering &amp; Self-Service<ul><li>
Build and iterate golden paths and self-service capabilities, with guardrails codified as policy to keep provisioning within security, cost, and tagging standards</li><li>
Document platform capabilities so internal teams can consume them without one-to-one engineering support</li></ul>
Systems Configuration &amp; Fleet Management<ul><li>
Manage Linux and Windows configuration through automation&mdash;Ansible and SUSE Manager (or equivalent) for Linux; Microsoft Intune and/or Group Policy for Windows&mdash;rather than manual, host-by-host changes</li><li>
Maintain baseline images and standards so new hosts, including field and edge compute, are provisioned in a known, compliant state</li></ul>
Operations, Security &amp; Compliance<ul><li>
Operate Azure landing zones and platform services within an Entra ID / Zero Trust model, with observability across monitoring, logging, alerting, and cost</li><li>
Ensure changes flow through auditable pipelines supporting SOX ITGC, and apply NERC CIP-aligned controls where platform components support in-scope systems</li></ul>
Qualifications
Required<ul><li>
Bachelor&rsquo;s degree in computer science, engineering, or related field (or equivalent experience)</li><li>
8 years in infrastructure support or engineering with demonstrated progression</li><li>
6+ years in cloud engineering, infrastructure automation, or platform engineering</li><li>
Production experience with infrastructure as code (Terraform and/or Bicep), including reusable modules and state management</li><li>
Hands-on experience with Git/GitHub and GitHub Actions for CI/CD or similar product</li><li>
Demonstrated coding ability in Python and/or PowerShell, evidenced by repositories or work samples</li><li>
Experience managing both Linux and Windows systems through automation (e.g., Ansible, Microsoft Intune and/or Group Policy)</li></ul>
Preferred<ul><li>
Platform engineering experience: internal developer platforms, golden paths, and self-service provisioning</li><li>
Google Cloud Platform (GCP) experience; Azure remains the primary platform</li><li>
SUSE Manager (or equivalent, such as Red Hat Satellite) and Microsoft Intune at scale</li><li>
Policy-as-code (Azure Policy, Open Policy Agent) and secrets management (Azure Key Vault, HashiCorp Vault)</li><li>
Regulated-sector experience and familiarity with NIST CSF, ISO 27001, or NERC CIP</li><li>
Certifications such as Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or HashiCorp Terraform Associate</li></ul></div>

Senior Cloud Engineer

Integrant

<div>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. 
This role carries both SysOps, HPC depth and DevOps. You are expected to spend at least 60% of your time on implementation and technical execution
What You Will Do
Presales &amp; Business Development<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> 
In-Account Delivery &mdash; SysOps &amp; DevOps Execution<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> 
Architecture &amp; Solution Design<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>
Technical Competencies &amp; Requirements
1. Architecture &amp; System Design<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> 
2. Platform Engineering &amp; GitOps Strategy<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> 
3. AI / GPU Infrastructure Architecture (Priority Competency)<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> 
4. Observability &amp; Reliability Engineering<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> 
5. Security &amp; Multi-Tenancy Architecture<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> 
6. HPC, Data &amp; Storage Architecture (Priority Competency)<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> 
7. Operational Leadership &amp; Linux Systems<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> 
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> 
Requirements 
Required<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> 
Strongly Preferred<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> 
Certifications (Advantageous)<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> 
Benefits 
<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

Cantina Labs

<div><div><h2 class="jobSectionHeader">Location</h2>
Remote (U.S. or Europe)
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Department</h2>
Research</div></div>
 <div><div>About Cantina:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! 
<div></div>About the Role:
We are looking for an MLOps Engineer to build and scale the inference infrastructure for our generative audio models, including Text-to-Speech (TTS), voice conversion, and Automatic Speech Recognition (ASR). You will be responsible for designing and deploying high-performance systems that ensure low-latency, reliable, and scalable model serving for both streaming and batch inference. This role is central to bridging the gap between research and production, ensuring our audio models are optimized for performance and cost-efficiency as we scale.
What You&rsquo;ll Do:
<ul><li>Design and maintain inference infrastructure for generative audio model architectures.
</li><li>Implement and manage high-performance inference engines.
</li><li>Orchestrate service deployments using Kubernetes (K8S), implementing advanced autoscaling paradigms to handle varying traffic loads efficiently.
</li><li>Develop and automate robust CI/CD pipelines to streamline the testing and deployment of model artifacts and inference configurations.
</li><li>Monitor production systems, establishing observability practices to track latency, resource utilization, and overall model performance.
</li><li>Collaborate closely with research teams to optimize model serving paths and evaluate various inference strategies.
</li><li>Optimize inference performance for both streaming and batch applications.
</li></ul>What You&rsquo;ll Bring:
<ul><li>Deep understanding of modern audio model architectures (e.g., TTS, ASR) and their specific inference requirements.
</li><li>Strong hands-on experience with Kubernetes (K8S), container orchestration, and implementing autoscaling strategies for production workloads.
</li><li>Solid background in MLOps, including CI/CD automation and managing scalable cloud infrastructure.
</li><li>Proficiency in software engineering principles and experience with Python or Go for infrastructure tooling and backend services.
</li><li>Experience with GPU-accelerated inference and performance profiling techniques.
</li><li>Familiarity with high-performance inference engines (e.g., Triton Inference Server, vLLM-Omni) is a plus.
</li></ul>Compensation:
The anticipated annual base salary range for this role is between $125,000-$165,000 (&euro;110,000-&euro;145,000). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data. 
<div></div>Benefits for U.S.-based roles:
<ul><li>Competitive salary and generous company equity
</li><li>Medical, dental, and vision insurance &ndash; 99.99% of premiums covered by Cantina
</li><li>42 days of paid time off, including:
<ul><li>15 PTO days
</li><li>10 sick days
</li><li>15 company holidays
</li><li>2 floating holidays
</li></ul></li><li>Generous parental leave &amp; fertility support
</li><li>401(k) retirement savings plan
</li><li>Lifestyle spending account &ndash; $500/month to use however you&rsquo;d like
</li><li>Complimentary lunch and snacks for in-office employees
</li><li>One Medical membership, and more!</li></ul></div></div>

Machine Learning Engineer, Ops

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