DevOps Engineer

Reframe Data Services; North Bethesda (MD); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Dental & Vision

401(k) match

Paid time off

Job summary

Reframe Data Services is seeking a DevOps Engineer to support development teams and cloud environments. This role focuses on getting applications onto our platform, building and maintaining CI/CD pipelines, and enabling engineers to move from pull requests to production safely.

You will share responsibility for production health, participate in on-call rotations, and help prevent incident recurrences by documenting fixes and improving tooling.

Qualifications

• On-site presence in North Bethesda, MD for a few days per week.
• 3+ years in DevOps, site reliability, or cloud engineering.
• Proficient with Git-based workflows and incident response.
• Strong written communication and documentation skills.

Responsibilities

• Onboard apps to our cloud environment with repeatable build, deploy, and monitoring patterns.
• Design and maintain CI/CD pipelines with automated tests and safe releases.
• Improve developer experience through tooling, self-service, and clear docs.
• Provision cloud resources via infrastructure as code and keep environments current.
• Participate in on-call rotations and resolve incidents with root-cause analysis.

Skills

DevOps

Cloud Eng

Git workflows

Incident response

Linux

Scripting

Infra as Code

CI/CD

Containers

Communication

Tools

Terraform

OpenTofu

CloudFormation

GitHub Actions

GitLab CI

CodeBuild

CodePipeline

Jenkins

Docker

ECS

EKS

Job description

Reframe Data Services is seeking a DevOps Engineer to support our development teams and the cloud environments their applications run in. You will focus on getting applications onto our platform, building and maintaining CI/CD pipelines, and making it easier for engineers to move their work from a pull request to production safely.

This is a developer-facing role. You’ll work closely with application teams including engineers based outside the US to understand how they build, then provide the automation, tooling, and documentation that helps them move faster without sacrificing reliability. You will also share responsibility for the health of our production systems, participating in an on-call rotation, responding to incidents, and doing the follow-up work that prevents the same problem from happening twice.

Key Responsibilities

• Onboard applications. Bring new and existing applications onto our cloud environment, establishing repeatable patterns for build, deployment, configuration, secrets management, and monitoring
• Build and maintain CI/CD pipelines. Design pipelines that give teams fast, reliable feedback, including automated testing, artifact management, promotion between environments, and safe release processes
• Improve developer experience. Find out what slows development teams down and fix it with better tooling, self-service options, sensible defaults, and clear documentation
• Build and maintain infrastructure. Provision cloud resources using infrastructure as code, and keep environments current through routine patching, upgrades, and dependency updates
• Support production systems. Participate in an on-call rotation, diagnose and resolve incidents across both the application and infrastructure layers, and identify root causes so fixes hold rather than needing to be reapplied
• Work alongside engineering teams. Contribute to architecture discussions, design reviews, and code review, with an eye toward how easily a change can be deployed, tested, and supported
• Improve our AWS environment. Evaluate our accounts and workloads for opportunities in security, availability, performance, and cost, and see those improvements through to completion
• Solve problems with code. Turn loosely defined requirements into working solutions, writing scripts or small tools when an existing product doesn't fit the need, and using AI coding assistants such as Claude to work through that kind of task quickly
• Experience using infrastructure as code like Terraform, OpenTofu, or CloudFormation, including maintaining code that other engineers depend on
• Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, AWS CodeBuild and CodePipeline, or Jenkins
• Experience with containers and container orchestration tools like Docker, ECS, and/or EKS
• Solid Linux administration and troubleshooting skills
• Direct experience with cloud technologies such as Amazon Web Services (AWS), including compute, networking, storage, and IAM
• Scripting or programming ability in at least one language (Python, Bash, Go, or similar) sufficient to automate real work

Qualifications

• Ability to work on-site a few days a week/as needed at a state-of-the-art building in North Bethesda, MD office
• 3+ years in a DevOps, site reliability, cloud engineering, or comparable role supporting production systems
• Comfort with Git-based workflows and branching strategies on a team
• Experience taking part in on-call rotations, incident response, and post-incident review
• Strong written communication. This role produces documentation and standards that other engineers rely on

Preferred Qualifications

• Practical experience using AI coding assistants such as Claude to automate day-to-day engineering work: generating and reviewing infrastructure code, drafting pipeline configuration, producing runbooks and documentation, and building small internal tools
• Experience supporting teams distributed across multiple time zones
• Kubernetes experience, particularly EKS
• Familiarity with monitoring and alerting tools (CloudWatch, Prometheus, Grafana, Datadog, OpenTelemetry) and with writing alerts that are useful rather than noisy
• Configuration management experience with Ansible, Puppet, or Chef
• Exposure to regulated environments (HIPAA, SOC 2, FedRAMP, or similar)
• Experience with data-heavy workloads, ETL pipelines, or analytics applications

Benefits

• Reframe Data provides paid comprehensive health insurance with dental and vision, 401(k) with company matching, and generous paid time off.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.