DevOps/MLOps Engineer

Niyam IT; Ashburn (VA); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Flexible Work Hours

Remote Work

Career Growth

Job summary

Niyam IT, based in Ashburn, VA, is seeking a DevOps/MLOps Engineer to design, automate, and maintain scalable infrastructure and deployment pipelines supporting both software and AI/ML lifecycles.

The ideal candidate has strong DevOps, cloud-native expertise, and experience in regulated environments, collaborating with software engineers, data scientists, and cybersecurity teams. This full-time role offers a hybrid work arrangement.

Candidates must be US citizens and able to obtain a Public Trust.

Qualifications

• Minimum 4 years of DevOps/SRE/MLOps experience in enterprise or mission-critical systems.
• Hands-on CI/CD experience with Jenkins, GitLab CI/CD, or GitHub Actions.
• Proficiency with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for both application code and AI/ML models across development, testing, and production environments.
• Automate infrastructure provisioning, configuration management, and deployment processes using IaC to ensure consistency and scalability.
• Manage and optimize cloud-based environments (AWS/Azure/GCP) for high availability, fault tolerance, and cost efficiency.
• Implement and manage containerization and orchestration technologies (Docker, Kubernetes) to support scalable deployments.
• Monitor system performance, availability, and reliability using centralized logging and metrics; identify bottlenecks and resolve issues.
• Ensure seamless code and model promotion across dev/test/stage/prod through automated workflows and release management.
• Collaborate with data scientists and ML engineers to operationalize ML models with versioning, reproducibility, and delivery pipelines.
• Enforce security best practices across the DevOps lifecycle, including secure configurations and federal standards compliance.
• Support SRE practices, including incident response and root cause analysis to improve resilience.
• Document infrastructure, pipelines, and procedures to support maintainability and auditability.

Skills

CI/CD pipelines

Jenkins/GitLab/GitHub Actions

IaC (Terraform/CloudFormation/Ansible)

Cloud platforms (AWS/Azure/GCP)

Docker & Kubernetes

Monitoring (Prometheus/Grafana/ELK)

Security & FedRAMP/NIST

SRE practices

Python/Bash/Go scripting

US Citizenship

Education

Bachelor’s degree in Computer Science/Engineering/IT

Tools

Jenkins

GitLab CI/CD

GitHub Actions

Terraform

CloudFormation

Ansible

AWS

Azure

GCP

Docker

Kubernetes

Prometheus

Grafana

ELK

Job description

About Niyam IT (Niyam)
Niyam was founded in 2007 by a group of consultants who shared a unique vision: a technology company steeped in orderly process yet driven by passion and innovation. Over the following decade, we fine-tuned our craft and built an impressive track record of successful outcomes, securing our reputation as the go-to provider of smart, innovative solutions.

About Niyam IT (Niyam)
Niyam was founded in 2007 by a group of consultants who shared a unique vision: a technology company steeped in orderly process yet driven by passion and innovation. Over the following decade, we fine-tuned our craft and built an impressive track record of successful outcomes, securing our reputation as the go-to provider of smart, innovative solutions. Today, Niyam is at the forefront of the industry, leading the way in crafting mission-critical technologies for Emergency Preparedness & Response, Natural Resource Management, Law Enforcement & Justice, Health IT, and Global Citizen Services.

What We Offer

• Flexible Work Hours: Life doesn’t always fit into a 9-to-5 schedule. We offer flexibility to help you manage your work-life balance effectively.
• Remote Work: Niyam understands the value of flexibility. We offer remote work.
• Career Growth: Niyam is not just a job; it’s a career journey. We provide a supportive environment for your professional development and offer fully paid opportunities for training and advancement within the company.
• Great People: Our people are the blueprint of who Niyam is to the industry and community.
• Great Environment: Niyam fosters a great environment where innovation, collaboration, and personal growth thrive.
• Diversity & Inclusion: We believe in the strength of diverse perspectives. Your unique ideas are welcomed and celebrated every day at Niyam.

Niyam is seeking a DevOps/MLOps Engineer to join our team in support of our work with a federal client. This role is responsible for designing, automating, and maintaining scalable infrastructure and deployment pipelines that support both traditional software development and AI/ML model lifecycles. The ideal candidate brings a strong foundation in DevOps practices, cloud-native technologies, and MLOps frameworks, with a focus on automation, reliability, and secure operations within regulated environments. This position requires close collaboration with software engineers, data scientists, and cybersecurity teams to deliver resilient and compliant solutions. We offer competitive compensation and benefits. This full-time position will be hybrid to Ashburn, VA. This position is contingent upon award of contract.

Roles and Responsibilities

• Design, implement, and maintain robust CI/CD pipelines to support continuous integration and delivery of both application code and AI/ML models across development, testing, and production environments.
• Automate infrastructure provisioning, configuration management, and deployment processes using Infrastructure as Code (IaC) tools to ensure consistency, scalability, and repeatability.
• Manage and optimize cloud-based environments, leveraging platforms such as AWS, Azure, or GCP to support high availability, fault tolerance, and cost efficiency.
• Implement and manage containerization and orchestration technologies (e.g., Docker, Kubernetes) to support scalable, portable, and resilient application and model deployments.
• Monitor system performance, availability, and reliability using centralized logging, metrics, and alerting tools; proactively identify and resolve performance bottlenecks and system issues.
• Ensure seamless integration and promotion of code and models across development, testing, staging, and production environments through automated workflows and release management processes.
• Collaborate with data scientists and ML engineers to operationalize machine learning models, enabling versioning, reproducibility, and continuous model delivery through MLOps best practices.
• Implement and enforce security best practices across the DevOps lifecycle, including secure configurations, vulnerability management, and compliance with federal security standards.
• Support system reliability engineering (SRE) practices, including incident response, root cause analysis, and continuous improvement of system resilience.
• Document infrastructure, pipelines, and operational procedures to support maintainability, auditability, and compliance with federal standards and accreditation requirements.

Qualifications And Education Requirements

• US Citizenship with ability to obtain a Public Trust.
• Bachelor’s degree or higher in Computer Science, Engineering, Information Technology, or a related technical discipline from an accredited institution.
• Minimum of 4 years of experience in DevOps, Site Reliability Engineering (SRE), MLOps, or a related field supporting enterprise or mission-critical systems.
• Hands‑on experience designing and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible.
• Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Proficiency in containerization technologies such as Docker and orchestration platforms such as Kubernetes.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack, or similar).
• Familiarity with supporting AI/ML workflows and implementing MLOps practices is highly preferred.
• Understanding of security best practices and experience working within regulated or federal environments (e.g., NIST, FedRAMP) is preferred.
• Strong problem-solving, troubleshooting, and communication skills, with the ability to collaborate across cross-functional teams.
• Local to Ashburn, VA and available to work onsite as needed.

Preferred Skills

• Experience supporting federal agencies or working in government contracting environments.
• Familiarity with model versioning and experiment tracking tools (e.g., MLflow, SageMaker, or similar).
• Experience with scripting or programming languages such as Python, Bash, or Go.
• Knowledge of microservices architecture and API-driven development.
• Experience implementing automated security scanning and compliance checks within CI/CD pipelines.

Application Deadline: This position will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

Niyam is an Equal Opportunity (“EEO”) Employer. All qualified applicants will receive consideration without regard to race, color, creed, religion, sex, sexual orientation, gender identity, pregnancy, marital status, partnership status, age, citizenship status, veteran or military status, medical condition, genetic information, national origin, disability, unemployment status or any other characteristic prohibited by federal, state and/or local laws. If you require a reasonable accommodation due to a disability to complete your application, or if you face challenges using our online application system and need an alternative way to apply