DevOps Engineer

Location: Remote within the United States; all applicants must currently reside in the United States.

Salary: USD $62,158–$70,000 per year.

Company

hirify.global provides AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.

What you will do

• Develop, maintain, and document Python automation scripts for QA, development, and operations teams.
• Support GitLab/GitHub CI/CD workflows, build automation, pipeline testing, deployment workflows, and repository management.
• Assist with Docker containerization, Kubernetes-based environments, and AWS and Databricks data workflows.
• Support SQL-based data handling, functional and regression testing, defect logging, and pipeline validation.
• Optimize JIRA workflows, dashboards, ticket structures, and sprint boards.
• Support NIPR operations, prepare documentation for eventual SIPR migration, and collaborate with developers, QA, product owners, and operations engineers in Agile/Scrum workflows.

Requirements

• Bachelor’s degree and 0–2 years of relevant experience; or Master’s degree and 0–3 years; or 8–10 years of experience without a degree.
• Proficiency in Python for automation, data workflows, or computational scripting.
• Working knowledge of Linux and familiarity with Git, GitHub, or GitLab workflows.
• Basic understanding of SQL, RDS, and Databricks, plus exposure to Docker or containerized compute environments.
• Strong analytical problem-solving skills and the ability to debug technical workflows.
• Ability to document technical steps and collaborate in an Agile/Scrum environment.
• Must be able to work on NIPR systems. Eligibility to obtain a SECRET clearance is highly preferred.

Nice to have

• Exposure to Kubernetes concepts or container orchestration and experience with GitLab CI/CD or GitHub Actions.
• Familiarity with AWS services, cloud compute patterns, Databricks, Spark, or distributed data workflows.
• Basic understanding of .NET, Angular, or enterprise application codebases.
• Experience with scientific computing, HPC workflows, reproducible pipelines, JIRA administration, workflow optimization, or dashboard customization.
• Exposure to MLOps or ML pipeline development.

Culture & Benefits

• Remote work is available for candidates residing in the United States.
• Structured progression from junior to mid-level responsibilities through hands-on work, mentorship, and technical exposure.
• Work supports mission-focused software development, data operations, and DevSecOps across NIPR and SIPR environments.
• Compensation is an estimated range and may vary based on skills, experience, education, certifications, location, and other factors; benefits are not included in the estimate.