DevOps Engineer

IMPYRIAN•Ashburn, VA

About The Position

We are seeking an outgoing, strategic Senior DevOps / MLOps Engineer who brings deep expertise in modern software engineering, system architecture, and DevOps practices. This role requires someone who thrives in both big-picture enterprise planning and hands-on project-level solution design, ensuring consistency, scalability, and alignment across the organization. The perfect candidate is a full stack engineer, passionate about designing robust software solutions, coaching engineering teams, modernizing platforms, and driving DevOps maturity. This candidate will also be a senior leader providing guidance across the company. The candidate must exhibit leadership and understand multiple solution architectures and be able to establish and articulate the vision behind an enterprise architecture solution.

Requirements

7+ years of experience in DevOps, platform engineering, site reliability engineering (SRE), or MLOps roles supporting production systems.
Strong experience designing and managing CI/CD pipelines for software and data/ML workloads.
Hands-on expertise with cloud platforms, with strong preference for Google Cloud Platform (GCP).
Proficiency with containerization and orchestration technologies, including Docker and Kubernetes.
Experience with infrastructure automation, configuration management, and deployment tooling.
Strong understanding of system monitoring, site reliability engineering principles, and security best practices.
Proven experience operating in regulated, high-availability, or mission-critical environments.

Nice To Haves

Full stack engineering experience
Coaching engineering teams
Modernizing platforms
Driving DevOps maturity
Senior leadership experience
Understanding of multiple solution architectures
Ability to establish and articulate the vision behind an enterprise architecture solution

Responsibilities

Design, implement, and maintain CI/CD pipelines for both software applications and AI/ML models, supporting automated build, test, validation, and deployment workflows.
Automate infrastructure provisioning and configuration management using infrastructure-as-code and modern DevOps tooling.
Manage, optimize, and secure cloud environments, ensuring efficient use of compute, storage, and networking resources.
Design, deploy, and maintain containerized workloads using Docker, Kubernetes, and related orchestration technologies.
Ensure seamless integration across development, testing, staging, and production environments.
Monitor system performance, availability, reliability, and security; proactively identify and remediate issues.
Implement logging, monitoring, alerting, and health-check strategies to support operational visibility and incident response.
Support operational readiness and reliability improvement initiatives for production systems.
Collaborate closely with AI/ML engineers, data scientists, software engineers, and security teams to operationalize models and applications.
Support MLOps workflows including model deployment automation, versioning, rollback strategies, and runtime monitoring.
Document infrastructure, pipelines, and operational procedures to ensure maintainability and auditability.
Provide technical leadership and mentorship to junior DevOps and MLOps engineers.