Senior DevOps Engineer

Partner with offshore and onshore engineering teams to design, implement, and scale cloud-native infrastructure supporting a new customer portal and ongoing platform refactoring efforts

Architect, build, and maintain Kubernetes-based environments that power production systems, ensuring scalability, resilience, and security

Lead Infrastructure as Code initiatives (primarily Terraform) to automate provisioning, configuration, and environment consistency across AWS

Design, implement, and optimize CI/CD pipelines to improve deployment velocity, reliability, and developer experience

Integrate and operationalize MLOps practices, enabling efficient deployment, monitoring, and lifecycle management of machine learning workflows

Embed DevSecOps best practices across the platform, incorporating security controls, compliance requirements, and monitoring into the development lifecycle

Drive automation initiatives that reduce manual processes and increase system reliability and repeatability

Collaborate closely with Platform, Engineering, and cross-functional stakeholders to gather requirements, troubleshoot issues, and continuously improve system architecture

Monitor system performance, identify bottlenecks, and proactively implement improvements to optimize availability and cost efficiency

Support incident response and root cause analysis efforts, driving long-term fixes and ensuring lessons learned translate into system improvements

Active Security Clearance is Required for this role (Top Secret Preferred)

Proficiency in Infrastructure as Code (IaC) tools and practices, such as Terraform or CloudFormation

Experience with Software Development, including scripting and programming to support automation and management of DevOps workflows

Strong understanding of Continuous Integration and deployment pipelines

Expertise in System Administration, including network configuration and troubleshooting

Extensive experience with Linux systems, including performance optimization and security management

Excellent problem-solving skills and ability to collaborate across teams

Familiarity with containerization technologies such as Docker and Kubernetes is a plus

Experience with ML OPs

Programming experience using Python

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience

We're building a constellation here, not looking for identical satellites. Every member of the team brings different capabilities to the same mission. If your orbit intersects with ours and you're mission-ready, send it.