Lyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments.  

Lyntris supports U.S. and allied defense organizations across every branch — including Navy, Army, Air Force, Space Force and allied partners — spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge. 

Solutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle — with integrated design, build and test capabilities in-house — and delivers systems that sustain and endure long after initial fielding. 

Job Description 

• Senior DevOps Engineer

• Full time

• Remote

The Senior DevSecOps Engineer strengthens the secure application platform used to build, test, deploy, monitor, and operate software for complex Department of Defense programs. The engineer works across application development, cloud infrastructure, Kubernetes, CI/CD, observability, security, and operational support to make software delivery more reliable, repeatable, secure, and cost-effective.

A major focus of this role is improving resource efficiency and reducing operating cost across the organization's DSOP and AI-based workloads. The engineer will partner with software, platform, security, data, and AI/ML teams to establish cost visibility, improve workload utilization, tune scaling behavior, and identify architectural or operational changes that lower cost without compromising mission performance, resilience, or security.

This role is well suited to an experienced software engineer, DevOps engineer, platform engineer, cloud engineer, or site reliability engineer who has hands-on experience with cloud-hosted and containerized applications and is ready to take broader ownership of application delivery and platform operations.

Duties & Responsibilities 

• Develop and maintain secure, automated workflows for building, testing, scanning, packaging, releasing, and deploying software.
• Create and improve CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or comparable tools.
• Containerize applications and support their deployment to AWS and Kubernetes-based environments, including EKS and ECS where appropriate.
• Use Helm or comparable packaging and deployment tools to make releases consistent, configurable, and repeatable across environments.
• Build and improve observability using metrics, dashboards, logs, traces, health checks, and alerts with Prometheus, Grafana, CloudWatch, and related tools.
• Partner with application teams to troubleshoot issues across web applications, APIs, containers, Kubernetes workloads, databases, networking, storage, configuration, and cloud services.
• Improve deployment reliability through automated testing, runtime validation, readiness and liveness checks, rollback strategies, release controls, and measurable service objectives.
• Establish workload-level cost and utilization visibility for DSOP and AI-based environments, using tools such as OpenCost, Kubecost, AWS Cost Explorer, AWS Cost and Usage Reports, Prometheus, or equivalent technologies.
• Identify and implement cost-efficiency improvements, including workload right-sizing, requests and limits tuning, demand-based autoscaling, scheduling improvements, idle-resource reduction, storage and data-transfer optimization, and appropriate log and metric retention.
• Partner with AI/ML and data teams to improve the utilization and reliability of AI workloads, including GPU-aware scheduling, batch and real-time workload scaling, model-service observability, and capacity planning when applicable.
• Contribute to infrastructure-as-code and GitOps workflows using Terraform, CloudFormation, Helm, Argo CD, Flux, or comparable technologies.
• Partner with security and compliance teams to implement technical controls and produce evidence supporting NIST 800-171, CMMC, FedRAMP, the DoD Cloud Computing SRG, RMF, and applicable program requirements.
• Develop internal tools and automation using TypeScript, JavaScript, Python, Bash, Go, or similar languages.
• Promote DevSecOps and software-engineering practices, including maintainable code, peer review, automated testing, secure defaults, accessibility, documentation, and continuous improvement.
• Collaborate with application, product, design, platform, security, data, and customer teams to translate mission needs into reliable technical solutions.
• Evaluate new platform, observability, security, and cloud-efficiency technologies and introduce them where they provide measurable value.
• Performs other duties as assigned.  

Required Qualifications 

• Six or more years of professional experience in software engineering, DevSecOps, platform engineering, cloud engineering, site reliability engineering, or a combination of these disciplines. 

• Professional experience delivering or supporting production software in a Department of Defense, government, healthcare, or other regulated environment. 

• Active Secret security clearance or higher. 

• Hands-on experience developing, deploying, or supporting applications in AWS or another major public cloud. 

• Experience with Docker or comparable container technology and with ECS, EKS, Kubernetes, or another container-orchestration platform. 

• Experience creating, maintaining, or closely collaborating on CI/CD workflows using GitHub Actions, GitLab CI/CD, Jenkins, or a comparable platform. 

• Proficiency in at least one programming or scripting language, such as TypeScript, JavaScript, Python, Bash, or Go. 

• Experience with application or infrastructure monitoring using Prometheus, Grafana, CloudWatch, or equivalent technologies. 

• Experience with automated testing, code reviews, release practices, and modern software-development workflows. 

• Demonstrated ability to improve application or system performance, reliability, scalability, or operational efficiency. 

• Ability to diagnose issues across applications, APIs, containers, databases, networks, and cloud services. 

• Working familiarity with Helm or another application packaging and deployment approach. 

• Strong written and verbal communication skills and the ability to work across application, infrastructure, security, product, and customer teams. 

• Eligibility to obtain and maintain a Common Access Card and other access required for government information systems. 

Preferred Qualifications (Not Required) 

• Located near Colorado Springs, Colorado. 

• Experience operating or troubleshooting production Kubernetes environments, including workload scheduling, resource requests and limits, autoscaling, ingress, service discovery, RBAC, network policies, persistent storage, and cluster upgrades. 

• Experience with infrastructure-as-code or configuration-management technologies such as Terraform, CloudFormation, Ansible, or Pulumi. 

• Experience with GitOps practices and tools such as Argo CD or Flux. 

• Experience with cloud financial management or FinOps practices, including OpenCost, Kubecost, AWS Cost and Usage Reports, chargeback or showback, unit-cost metrics, commitment planning, or workload right-sizing. 

• Experience operating AI/ML infrastructure, GPU-backed workloads, model-serving platforms, distributed data processing, or high-cost batch workloads. 

• Direct experience implementing or documenting controls for NIST 800-171, CMMC, FedRAMP, RMF, or the DoD Cloud Computing SRG. 

• Experience with GitLab pipelines, artifact repositories, software-composition analysis, container scanning, secrets scanning, or policy-as-code. 

• Familiarity with service-mesh technologies such as Istio or Linkerd. 

• Linux systems administration and cloud networking experience. 

• AWS Certified Solutions Architect - Associate, Certified Kubernetes Administrator, FinOps Certified Practitioner, Security+ CE, or a comparable certification. 

• Ability to obtain an applicable DoD IAT Level II certification within a reasonable period after starting the role. 

Physical Requirements 

• Prolonged periods sitting at a desk and working on a computer. 

• Must be able to lift up to 15 pounds at times.  

• This position requires the ability to travel up to 5%. 

Clearance Requirements 

Some positions will require access to U.S. National Security information.  Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL).  In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link.  

EEOC & Know Your Rights 

Lyntris companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish 

Pay Scales & Benefits 

The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. 

Benefits include… 

• Paid Time Off 

• Paid Company Holidays 

• Medical, Dental & Vision Insurance 

• Optional HSA and FSA 

• Base and Voluntary Life Insurance 

• Short Term & Long-Term Disability Insurance 

• 401k Matching 

• Employee Assistance Program