Find Your Dream Career

About The Role You will be a core builder of the Financial Cloud developer platform — implementing the CI/CD pipelines, GitOps automation, artifact management, dependency graph engine, and change impact analysis tooling that allow 50-100 versioned modules to be independently built, tested, composed, and deployed across dozens of global compliance sites. You'll work directly with the Platform Architect to turn architecture blueprints into production systems used daily by hundreds of engineers. Key Responsibilitie s Build module-level CI/CD pipelines: from commit to versioned artifact (Docker image + K8s manifest) published to the artifact registry, with reproducible build enforcement (hermetic environments, pinned toolchains, deterministic outputs) Implement build provenance automation: SLSA attestation generation, artifact signing, dependency chain verification integrated into every pipeline; Golden Signals validation in CI that blocks releases missing required metrics endpoints Develop the dependency graph database: ingest static dependencies (code imports, API contracts, schema references) + runtime dependencies (service mesh traces), provide queryable graph for impact analysis Build change impact analysis tools: given a PR, compute affected modules/sites/tests and surface results in the PR review UI; implement selective test orchestration that only runs dependency-graph-proven relevant tests Implement the GitOps deployment engine: ArgoCD/Flux controllers managing site config repos, automated reconciliation, staging → canary → production promotion with Golden Signals monitoring and auto-rollback Build site provisioning tooling: scaffolding tools that generate new site config repos with module version pinning + compliance parameters; self-service console for configuration-type sites Develop the version management console: module version status, version drift visualization across all sites, batch upgrade workflows, automated changelog generation, compatibility checking before deployment Implement the security patch force-push pipeline: automated SECURITY-REQUIRED PR creation across all site repos with SLA tracking and escalation triggers Build the four-layer test orchestrator: automated test selection by module/country/scenario tags, parallel execution at scale, coverage gap detection that blocks deployments with actionable feedback Major Requirements 6+ years in backend / platform / infrastructure / developer tools engineering Strong proficiency in Go (primary) or Java/Kotlin, with scripting in Python Production experience with CI/CD pipeline development: GitHub Actions, Tekton, Jenkins, or custom pipeline orchestrators Hands-on with GitOps tooling: ArgoCD, Flux, Kustomize — at scale (10+ clusters/environments) Experience with Kubernetes: operators, custom controllers, CRDs, Helm chart development Solid understanding of container registries and artifact management (Harbor, ECR, Artifactory) Experience with build systems: Bazel, Gradle, or equivalent — reproducible builds, remote caching, build graph optimization Background in dependency analysis tooling or graph databases (Neo4j, Dgraph, or custom implementations) Preferred: Experience at AWS (CodePipeline, CodeBuild, Proton, Service Catalog) or GCP (Cloud Build, Artifact Registry, Cloud Deploy) Preferred: Background at Stripe, Adyen, or Square in developer platform teams Preferred: Experience building internal developer platforms (IDP) or platform-as-a-service for engineering organizations Preferred: Familiarity with supply chain security tooling (Sigstore, in-toto, SBOM generation)

Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2026! Belay Technologies is seeking a Senior Linux Systems Administrator / DevOps Engineer with 10+ years of experience and a technical degree to support secure, mission-critical environments. The ideal candidate will have extensive experience administering enterprise Linux systems, managing system performance and security, troubleshooting complex infrastructure issues, and deploying and maintaining Kubernetes clusters and containerized applications. Responsibilities include implementing security hardening and vulnerability remediation, managing container orchestration and high availability, and leveraging automation and Infrastructure as Code tools such as Ansible, Terraform, Git, Jenkins, and GitLab CI/CD to streamline infrastructure provisioning, configuration management, and deployment workflows. Required Qualifications 10+ years of professional experience in systems administration, infrastructure engineering, DevOps, platform engineering, software engineering or a closely related field Active TS/SCI clearance with Polygraph Extensive hands-on experience administering Linux operating systems in enterprise or mission-critical environments Demonstrated experience deploying, operating, and troubleshooting Kubernetes clusters and containerized applications Strong knowledge of container technologies, including Docker, containerd, and OCI-compatible images Experience with scripting and automation using Bash, Python, or similar languages Proficiency with configuration management and Infrastructure as Code tools, such as Ansible and Terraform Experience with Git-based version control and CI/CD platforms Strong understanding of TCP/IP networking, DNS, routing, firewalls, load balancing, and Linux network troubleshooting Experience with system monitoring, log analysis, performance tuning, and root cause analysis Knowledge of Linux and container security, system hardening, vulnerability remediation, and access control Ability to work independently, manage competing priorities, and communicate technical issues effectively Preferred Qualifications Experience working with Red Hat Enterprise Linux and Kubernetes distributions such as Red Hat OpenShift or Rancher Kubernetes Familiarity with GitOps tools such as Argo CD or Flux Experience with Helm, Kustomize, and Kubernetes operators Experience implementing DISA STIGs, Security Content Automation Protocol (SCAP) assessments, and vulnerability remediation workflows Familiarity with security monitoring tools such as Splunk and enterprise observability platforms Experience with virtualization platforms such as VMware vSphere or KVM Experience supporting disconnected, air-gapped, or restricted-network environments Knowledge of storage platforms, SAN/NAS, persistent storage, and distributed storage solutions Relevant certifications such as Red Hat Certified Engineer (RHCE), Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS), or comparable credentials Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program 10% matching in 401(k) contributions vested on day one $5,000 annual training/tuition Student Loan Repayment Program 100% company-funded HSA Rich medical coverage (100% coinsurance) Dental coverage including orthodontia Up to $420,000 in life insurance, premiums 100% company funded Amazon Prime, gym reimbursement, monthly lunches, games and prizes Pet adoption program, generous referral bonus program, fun events, and more! At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development. Salary Range: $168,000.00 to $195,000.00 Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by JazzHR hkOiPsAwyC

Job Description Position Summary Base-2 Solutions is seeking a DevOps Software Engineer to design, develop, and deploy a state-of-the-art technology stack supporting the DOMEX Data Discovery Platform (D3P) Modernization program. The role supports the mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Defense Intelligence Enterprise (DIE). The engineer will work as part of a mission-focused, solutions-oriented, and adaptive team that values inclusion, innovation, collaboration, and professional development. Most work is conducted on-site in Bethesda, MD, with a flexible schedule and occasional remote tasks. Essential Duties and Responsibilities Deploy, triage, and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging. Enhance and maintain CI/CD and DevOps scripts and processes including AI-integrated solutions for failure analysis, security, and compliance to facilitate faster development, quicker error detection, and resilient deployments. Design, develop, and support scalable, redundant infrastructure including physical and virtualized environments. Configure Kubernetes continuous deployments using Helm, YAML, and ArgoCD. Collaborate with System Engineers to design solutions for new features and requirements. Provide technical input to systems engineering documentation and diagrams/models in coordination with systems engineering and architect teams. Participate in Agile release planning, scrum of scrums, bug triage, design sessions, and other meetings. Develop PaaS solutions for hybrid deployments and secure multi-tenant GPU sharing in Kubernetes environments. Required Qualifications Bachelor's degree in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 8+ years in software development, system engineering, or related field; 6+ years of experience with a Master's degree. Possess at least one DoD 8570.01-M IAT Level II or higher certification, e.g., CCNA Security, CySA+, Security+ CE, SSCP, CISSP (or Associate). Ability to obtain Privileged User Account (PUA) certification per DoD 8570 policy. Experience with container/container orchestration, specifically Kubernetes, including troubleshooting ingress/gateway API, multi-tenant GPU sharing, Helm chart design/build, pod disruption budgets, and affinity/anti-affinity rules. Familiarity with external-secrets, ArgoCD, cert-manager, and elastic search (eck). GitLab pipeline development experience including integration of GitLab CI/CD components, code quality reports, and code coverage/test reports. Knowledgeable in navigating Linux OS, specifically sysctls for Kubernetes environments, FApolicyd, and SELinux experience. Comfortable with Elastic Search, Logstash, and Kibana. Demonstrated ability to participate in cross-functional planning, coordination, and task execution. Preferred Qualifications Experience with systems at scale. Experience or knowledge of key Agile processes and techniques. Experience with development languages and tools such as Bash, PowerShell, SALT, Python, Groovy, Java. Experience on a production or enterprise system. Experience with Kafka or other message passing systems (AMQP, JMS). Experience with Kubernetes monitoring tools such as Prometheus, Grafana, Open Telemetry. Experience with SALT for deployment automation. Experience with Nexus. Required Education and Experience Equivalency Bachelor's degree in Engineering, Computer Science, Systems Engineering, or related field with 8+ years in software development, system engineering, or related field. Master's degree with 6+ years in software development, system engineering, or related field. Required Certifications DoD 8570.01-M IAT Level II or higher certification, e.g., CCNA Security, CySA+, Security+ CE, SSCP, CISSP (or Associate). Privileged User Account (PUA) certification per DoD 8570 policy (ability to obtain). Required Security Clearance Active Top Secret/SCI Equal Employment Opportunity Base-2 Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law, and will not be discriminated against on the basis of disability. Learn more: Pay & Benefit Highlights Compensation Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity). Employee referral bonuses up to $10,000 per hired referral. Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent). Health 100% company-paid medical premiums for employees and eligible dependents. Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans. 100% company-paid dental premiums for employees and eligible dependents. 100% company-paid vision premiums for employees and eligible dependents. Income Protection 100% company-paid premiums for short-term disability. 100% company-paid premiums for long-term disability. 100% company-paid premiums for accidental death & dismemberment (AD&D). 100% company-paid premiums for life insurance up to $200,000. Retirement 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total). 401(k) pre-tax and Roth options. Leave Up to 20 days of flexible paid time off (PTO). 11 paid floating holidays. Work-Life Balance Flexible work schedules, including flex time and compressed work periods (contract and project-dependent). NT

Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the world's most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don't just defend systems; we deliver decision dominance. Our Purpose. Protect what matters most by enabling organizations to operate security in the most complex and high-risk digital environments. Our Vision. To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration across every domain. Our Belief. Security should never limit mission success – it should enable it. Our Promise. We deliver absolute confidence in environments where failure is not an option. We're hiring for a hybrid role. You'll work on-site with your team several days each week (typically 2–3), with the specific days set by your manager. Because regular in-person collaboration is central to this job, we look for candidates who live within about 50 miles of the office. Everfox will consider reasonable accommodation as required by law. About The Role We're looking for a full-time Kubernetes and Linux Container Platform Engineer to join our team developing and maintaining the container infrastructure that supports EverShieldour Insider Risk platform. In this role, you will contribute to the accelerated development of our Evershield Platform while supporting the ongoing maintenance of our container platform, helping the team meet current and future product delivery commitments. The ideal candidate will have strong experience with Kubernetes, container technologies, and Red Hat Enterprise Linux, along with expertise in building, deploying, and maintaining scalable, reliable platform solutions. Working in an Agile environment, you will collaborate with team members to design, develop, test, troubleshoot, and maintain container infrastructure to support EverShield's evolving needs. Location: Hybrid – Salt Lake City, Utah Key Responsibilities Working collaboratively with team members to design, develop, test, troubleshoot, and deliver a scalable Linux-based container platform Remaining up to date on current best practices, trends, and industry developments and actively sharing that knowledge with other team members Verifying product features are thoroughly implemented, ensuring all requirements are met, using robust technical solutions and high-quality coding standards Key Experience And Education Qualifications BS Computer Science, Computer Engineering, Information Security or equivalent work experience Strong problem solving, troubleshooting, communication and customer service skills Strong time management skills and able to take initiative and work independently on concurrent projects 4+ years of professional experience using container technologies to build, deploy, maintain, or administer containers in a production environment 3+ years of professional experience building, maintain, or administering Kubernetes clusters in a production environment 5+ years of professional experience administering and/or developing applications on Red Hat Enterprise Linux. This includes; Demonstrable coding/scripting experience in Bash. A solid understanding and experience using the Linux command line and its associated tools and utilities. A solid understanding of fundamental networking concepts. Experience with server virtualization systems such as VMware ESXi/vSphere. Experience with Ansible and familiarity with YAML and JSON. Experience deploying applications to AWS and/or Azure in a production environment (compute, storage, networking, image creation, etc.) If needed, ability to pass a government background check Nice to Have Experience with installation, administration, and configuration of Prometheus and Grafana. Knowledgeable in Linux and application security best practices, SELinux, DISA STIG, etc. Experience with UI frameworks and technologies (HTML, JavaScript, REST APIs, React) Experience with CI/CD and configuration management tools (Jenkins, Ansible, Artifactory) Experience writing automated tests Experience using Git for version control Experience working in an Agile/Scrum environment Experience with Python and Golang A reasonable estimate of the base salary range for this role is: $125,100.00-164,000.00 USD The actual salary offered may vary within the range based on a candidates' unique experience, locale, and business needs. In addition to a base salary and bonus plans, Everfox offers a generous benefits package including flexible PTO, a 401k match, and contribution to healthcare coverages. Our Talent Acquisition team will provide specific information regarding bonus eligibility and benefits offerings. Don't meet every single qualification? Studies show people are hesitant to apply if they don't meet all requirements listed in a job posting. If there is something slightly different about your previous experience, but it otherwise aligns and you're excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team. Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination. Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to humanresources@everfox.com . Everfox is a Federal Contractor. Certain positions with Everfox require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum. Applicants must have the right to work in the location to which you have applied.

Platform Engineer Location: Chantilly, Virginia Job Description: Serve as a Platform Engineer Design, deploy, maintain, and secure platform infrastructure. Support data integration efforts Build, maintain, and optimize underlying infrastructure to support Artificial Intelligence (AI) workloads. Qualifications: Cluster Management: Extensive experience with Kubernetes clusters to include: Designing, deploying, securing, maintaining Upgrading highly available and scalable (e.g., EKS, AKS, GKE, OpenShift, or self-managed) Including the control plane components, worker nodes, and their interactions Containerization & Orchestration: Proficient with Docker and containerization best practices Networking: Strong understanding of Kubernetes networking concepts Security: Expertise in securing Kubernetes environments and network security Performance & Optimization: Optimize resources and implement best practices for cluster tuning CI/CD Tooling: Hands-on experience with popular CI/CD platforms like Jenkins, GitLab CI/CD Infrastructure as Code (IaC): Proficiency with tools such as Terraform, Pulumi, or CloudFormation Experience with Helm charts and customize for Kubernetes application packaging and deployment. Automation Scripting: Strong scripting skills in languages like Python, Go, Bash, or similar Linux/Unix: Background in Linux, including networking, file systems, and process management Relevant certifications such as: CKA, CKAD, CKS, AWS Certified DevOps Engineer, Azure DevOps Engineer Expert. Additional Qualifications Experience with Kubernetes operators, custom resource definitions (CRDs) Building internal developer platforms (IDPs) Travel up to 20% of the time, as required, to perform on-site installations, maintenance Have current IAM Level II to satisfy DOD 8570 IAT requirements Active DoD TS/SCI with a Counterintelligence Polygraph (CIP) Clearance Job Type: Full-time

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should Have 6+ years of experience in software development and operating distributed systems Proficiency in Python, Go, or a similar language Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual process ("allergic to ops work"). We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products This includes, but is not limited to, contributing to open-source projects, or engineering software-based approaches like Kubernetes operators to streamline processes Own the onboarding flow other engineering teams follow when launching a new product or service Collaborate with other teams within Platform Engineering to ensure a consistent service-onboarding experience Provide internal support for our deployment systems, including answering questions and addressing issues Participate in a 24/7 on-call rotation to resolve issues involving the deployment infrastructure About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 426184 MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $127,000—$249,000 USD

DevOps Engineer - Federal Customer (Chantilly, VA) (on-site 5 days per week: TS/SCI required) Job summary If you enjoy working with new technologies, enterprise-leading equipment, and have a passion for building and maintaining information technology (IT) infrastructures, we would like to speak to you. This position will play a key role in supporting next-generation infrastructure to drive innovation. You will join a diverse team of DevOps Engineers to design, deploy, maintain, and secure platform infrastructure. You will collaborate with people inside and outside the organization to deliver the highest standards for building, deploying, and securing infrastructure. The DevOps Engineer is responsible for designing, implementing, and maintaining the infrastructure. This includes automating the deployment and configuration of operating systems, applications, and platform components associated with Kubernetes. As a DevOps Engineer, you are responsible for the entire stack (DNS, IdM, OCP, OAUTH, DHCP, S3, NFS, Application Stack, and more). Key Job Responsibilities DevOps Engineers demonstrate the ability to analyze complex problems and engineer effective solutions. • Understanding of networking concepts, including bonding, bridging, VLANs, firewalls, and troubleshooting • Solid understanding of multiple operating systems (Linux, BSD, UNIX) • Knowledge of one or more scripting languages: Python, Go, Bash • Understanding of containerization platforms like Docker, Kubernetes, OpenShift • Basic understanding of security concepts, including encryption, authentication, authorization, and access controls • Ability to collaborate with cross-functional teams, including architects, developers, and project management • Flexibility to adapt to changing requirements and priorities • Desire to continue learning and professional development in the field of Platform Engineering Required Qualifications • Proficiency with multiple operation systems (Linux, Windows, Networking) • Active TS/SCI and the ability to maintain access as required by the program • Experience deploying, managing, and monitoring Kubernetes and the containerized applications running within • Working knowledge of authentication protocols and methodologies (IdM, OIDC, KeyCloak, Authentik) • Experience containerizing applications via Docker / Podman Preferred Qualifications • Proficient with filesystems (File, Block, Object) • Experience managing and validating disaster recovery processes • Ability to deploy and utilize local Large Language Models (LLMs) • Experience with iptables, ebpf, tcpdump, wireshark . Candidates must be able to lift up to 25lbs. We offer • A dynamic and collaborative working environment that fosters professional growth and development. • Opportunities for personal and technical skill enhancement through ongoing training and professional development opportunities. • A supportive and inclusive team culture that values diversity and encourages individual contributions. If you are passionate about DevOps, have a strong technical background, and thrive in a collaborative environment, we encourage you to apply for this exciting opportunity.

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should Have 6+ years of experience in software development and operating distributed systems Proficiency in Python, Go, or a similar language Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual process ("allergic to ops work"). We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products This includes, but is not limited to, contributing to open-source projects, or engineering software-based approaches like Kubernetes operators to streamline processes Own the onboarding flow other engineering teams follow when launching a new product or service Collaborate with other teams within Platform Engineering to ensure a consistent service-onboarding experience Provide internal support for our deployment systems, including answering questions and addressing issues Participate in a 24/7 on-call rotation to resolve issues involving the deployment infrastructure About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 426184 MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $127,000—$249,000 USD

An active Top Secret/SCI Clearance with a Full Scope Polygraph is required. This job is onsite in Annapolis Junction, MD with up to one remote day/week depending on tasking. We have an immediate need for a DevOps Engineer to focus on DevOps engineering of a modernization effort to converge authoring, dissemination, and other supporting tools. Responsibilities Deploying applications Installing and configuring complex software; Managing network servers and technology tools Monitoring and maintaining the system for required levels of performance Troubleshooting issues and outages. Required Technical Skills: Linux AWS, MASH, and VMs Docker Swarm Deployments of distributed web applications (e.g. GitLab CI/CD) Terraform scripting and VM provisioning Ansible scripting and development Thorough understanding of Docker & Docker Compose container technology Git Desired Technical Skills: Python scripting and development NiFi maintenance and configuration Elasticsearch maintenance and configuration Java / Spring Boot (troubleshooting error logs) HAProxy MongoDB

Description Leidos has an exciting opening for you, our next TS/SCI cleared DevOps Software Engineer working with a dynamic team to design, develop and deploy a state-of-the-art technology stack supporting the DOMEX Data Discovery Platform (D3P) Modernization program as well as our client's mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Defense Intelligence Enterprise (DIE). You will have impact as part of a mission focused, solutions oriented, and adaptive team that values inclusion, innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. As a DevOps Engineer you will contribute to the design, deployment, and maintenance of a full stack containerized microservices architecture as well as technical systems administration, installation, and configuration. You will participate in fostering a DevOps culture, building strong cross functional collaboration with systems engineering, architecture, development, security, operations, and integration teams, in a dynamic and fast paced environment. You Will Work Closely With a Multi-disciplinary Team Of Developers, Other Software Integrators And System Administrators On The Following Key Tasks To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging Enhance and maintain CI/CD and DevOps scripts and processes including AI-integrated solutions for failure analysis, security and compliance to facilitate faster development, quicker error detection and resilient deployments Design, develop, and support scalable, redundant infrastructure to include physical and virtualized environments Configure Kubernetes (Helm, YAML, etc.) continuous deployments using ArgoCD. Collaborate with System Engineers to design solutions for new features and requirements Provide technical input to systems engineering documentation and diagrams/models working in coordination/collaboration with SE team members and Architect team Participate in Agile release planning, scrum of scrums, bug triage, design sessions and other meetings Develop PaaS solutions for hybrid deployments and secure multi-tenant GPU sharing solutions in a the Kubernetes environments. Qualifications You bring enthusiasm, the ability to work well with people from different disciplines with varying degrees of technical experience, and meet the following qualifications: BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 8+ years in software development, system engineering or related field. 6+ years of experience with Master's degree. Must have an active Top Secret/ SCI security clearance with the ability to obtain and maintain a TS/SCI with Polygraph security clearance Knowledgeable in navigating Linux OS, specifically: Knowledgeable about K8s environments Possess at least one DoD 8570.01-M IAT Level II or higher certification, e.g., CCNA Security, CySA+, Security+ CE, SSCP, CISSP (or Associate) GitLab CI/CD pipeline development experience including: Ability to obtain Privileged User Account (PUA) certification per DoD 8570 policy Experienced with container/container orchestration, specifically Kubernetes and troubleshooting experience with: Ingress/Gateway API Multi-tenant GPU sharing Helm chart design/build Pod disruption budgets Affinity/anti-affinity rules Familiarity with external-secrets, ArgoCD, cert-manager, eck (elastic search) Comfortable with Elastic Search, Logstash, Kibana Demonstrated ability to participate in cross-functional planning, coordination, and task execution You will wow us even more if you have some of these: Experience with systems at scale Experience/knowledge of key Agile processes and techniques Experience with development, i.e. Bash, PowerShell, SALT, Python, Groovy, Java, etc. Experience on a production/ enterprise system Experience with any of the following technologies: Kafka or other message passing systems (AMQP, JMS) Kubernetes monitoring, e.g., Prometheus/ Grafana, Open Telemetry· SALT for deployment automation· Nexus #NMECDTP-ALL #ASBA If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting October 16, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com. Pay And Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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

Location: Chantilly, VA Security Clearance: Active TS or higher [Required] w/ CI Polygraph Job Type: Full-Time Target Salary Range*: $115,000 - $179,000 This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary Position Overview The Cloud Engineer (Senior) supports advanced AI/ML workloads by designing secure, scalable cloud environments across multi-enclave and high-security settings. This role builds and optimizes cloud infrastructure for distributed model training, high-performance computing, and low-latency inference while improving automation, standardizing engineering practices, and strengthening secure cloud operations. The Cloud Engineer (Senior) also supports hybrid and on-premises infrastructure integration, container orchestration, cross-domain connectivity, identity and access management, monitoring, data services, and DevSecOps capabilities across complex enterprise environments. Key Responsibilities Cloud Architecture and Integration Design and implement cloud architectures optimized for AI/ML compute, storage, and networking requirements. Integrate public cloud platforms with on-premises hyperconverged infrastructure and accelerator hardware. Support air-gapped hybrid-cloud and on-premises operational environments, including complex multi-enclave ecosystems. Support AWS GovCloud, SC2S, C2S, and GCP cloud platforms. Support Nutanix host and cluster environments, including Prism Central and NDFS. Support locally hosted GPU servers and AI-optimized infrastructure. Apply cloud cost-optimization techniques across supported environments. Infrastructure Automation and DevSecOps Automate cloud infrastructure using DevSecOps practices and Infrastructure as Code. Develop and maintain Infrastructure as Code using Terraform and Ansible. Support Infrastructure as Code capabilities using technologies such as Bicep and CloudFormation. Enhance automation practices and standardize infrastructure processes across teams. Support advanced GitLab CI/CD pipelines and DevSecOps practices. Secure Operations and Container Orchestration Support secure and highly available operations for classified or mission-critical AI applications. Manage containerization and orchestration platforms including Docker, Kubernetes, and OpenShift. Support efficient multi-tenant cloud and container environments. Implement cloud-native security controls and support security accreditation processes. Strengthen secure cloud operations across complex multi-enclave environments. Networking and Cross-Domain Infrastructure Support Cisco switching, routing, firewalling, and site-to-site connectivity, including IPsec, DMVPN, and SD-WAN. Configure and support cloud networking and VPC environments. Support multi-tenant Cross-Domain Solutions. Support high-assurance cross-domain and encryption solutions including TACLANE and NCAP. Identity, Security, and Governance Support identity and access services including Microsoft Active Directory, LDAP/OpenLDAP, Entra ID, and Keycloak. Implement data and model governance practices supporting secure AI pipelines. Apply secure cloud practices across classified, multi-enclave, and mission-critical environments. Data Services, Monitoring, and Platform Support Support enterprise database services including RDS, RDS Aurora, and DynamoDB. Support monitoring, logging, and data platforms including Elasticsearch, OpenSearch, and Splunk. Support Linux operating systems including Rocky Linux, Red Hat, Amazon Linux, and Ubuntu, as well as Windows and macOS. Support serverless architectures using AWS Lambda. Support microservices architectures and API Gateway implementations. Apply development experience with Python, .NET/C#, and related languages to infrastructure automation and platform integration. Qualifications Education Bachelor's degree. [Required] Experience Minimum 8 years of relevant experience. [Required] Hands-on experience with major cloud providers including AWS, Azure, and GCP. [Required] Experience with Kubernetes and cloud networking and storage optimization. [Required] Skills Knowledge of cloud engineering, infrastructure, or related technical disciplines. [Required] Knowledge of AI/ML compute environments, distributed systems, or high-performance computing. [Required] Experience with Infrastructure as Code tools including Terraform, Bicep, and CloudFormation, and with DevSecOps pipelines. [Required] Strong understanding of secure cloud practices and multi-enclave operations. [Required] Effective communication and cross-team collaboration skills. [Required] Preferred Qualifications Experience with hybrid or multi-cloud integrations. Familiarity with GPU and accelerator hardware and AI-optimized cloud patterns. Cloud certifications such as AWS Solutions Architect or Azure Architect. Experience working in high-security or classified environments.