DevOps Engineer at Constellis

Herndon, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Jun, 26

Salary

0.0

Posted On

29 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

CI/CD Pipelines, Kubernetes, Docker, Podman, Terraform, Ansible, Git, GitHub, GitLab, Monitoring, Alerting, Incident Response, Bash, Python, PowerShell, Cybersecurity

Industry

Security and Investigations

Description

ABOUT LEXSO Layered Extended Security Operations (LEXSO) is Constellis’ advanced multi-sensor integration platform, purpose-built to deliver real-time situational awareness and operational automation. By integrating leading-edge sensors, cloud-native infrastructure, and AI-driven analytics, LEXSO enables responses at the speed of sensing to protect critical infrastructure, bases of operations, and high-value assets worldwide . We are seeking a DevOps Engineer to strengthen our platform delivery and ensure seamless deployment, monitoring, and scaling of LEXSO across government and commercial environments. In this role, you will have the ability to: * Work at the intersection of security, AI, and mission-critical infrastructure. * Be part of a high-performing, multidisciplinary team delivering real-world impact. * Opportunities for growth in cloud, cybersecurity, and sensor integration. * Contribute to protecting US government and commercial assets with cutting-edge technology. KEY RESPONSIBILITIES * Design, build, and manage CI/CD pipelines for automated deployments across staging, test, and production environments. * Manage and optimize Kubernetes clusters for LEXSO’s real-time, sensor-driven workloads. * Containerize services using Docker (or Podman) and manage registries. * Implement Infrastructure as Code (Terraform, Ansible, or equivalent) for repeatable, scalable deployments. * Maintain secure version control practices (Git, GitHub, GitLab, or equivalent). * Configure, maintain, and improve monitoring, alerting, and incident response systems. * Collaborate closely with developers, data scientists, and sensor integration teams to accelerate feature delivery and ensure resilience in operational deployments. * Support compliance with DoD cybersecurity and cloud security standards where applicable. REQUIRED QUALIFICATIONS * 2–5 years experience in DevOps, infrastructure, or cloud engineering. * Scripting in Bash, Python, or PowerShell. * Hands-on experience with CI/CD pipelines and deployment automation. * Kubernetes experience (explicit, production-level). * Containerization experience with Docker or Podman (explicit, production-level). * Experience with Infrastructure as Code (Terraform, Ansible, or similar). * Experience using Git or equivalent version control systems. * Familiarity with monitoring, logging, and incident response workflows. * Strong collaboration skills with software developers. * Ability to attain a Secret Clearance PREFERRED QUALIFICATIONS * Hands-on experience with Jenkins, Nvidia GPU toolkits, or broader DevOps toolchains. * Monitoring & alerting with Prometheus, Grafana, ELK, Splunk, CloudWatch. BENEFITS Constellis offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects its commitment to creating a diverse and supportive workplace. * Medical, Vision & Dental Insurance * Paid Time-Off Program & Company Paid Holidays * 401(k) Retirement Plan * Insurance: Basic Life & Supplemental Life * Health & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Personal Development & Learning Opportunities * On-the-job Training, Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach WORKING CONDITIONS Work is typically based in a busy office environment and subject to frequent interruptions. Business work hours are Monday-Friday standard core hours, however some extended or weekend hours may be required.

Responsibilities

The engineer will design, build, and manage CI/CD pipelines for automated deployments across various environments and manage/optimize Kubernetes clusters for real-time, sensor-driven workloads. They will also containerize services, implement Infrastructure as Code, and maintain version control practices.