Remote job
Senior Platform Engineer (DataOps)
Job details
About this role
Role overview
Help build and evolve an enterprise DataOps platform for teams developing data-intensive applications. This senior engineering role focuses on shared platform capabilities, cloud-based data processing, automation, and secure developer workflows, while also helping application teams adopt common tools and practices.
Responsibilities
- Develop and continuously improve a shared DataOps platform and its supporting tools and libraries. - Evaluate technologies and practices for operating data processing systems at enterprise scale. - Support developers as they adopt platform capabilities and workflows. - Build automated solutions and compliance pipelines that address federal application security requirements. - Contribute to an Agile team focused on iterative delivery and ongoing improvement.
Requirements
- At least 7 years of relevant professional experience. - Strong coding ability in at least one language, such as Python or C++. - Experience with Kubernetes and containerization. - Familiarity with a major cloud platform, such as Google Cloud, AWS, or Azure. - Experience with messaging or streaming systems such as Kafka or Pub/Sub, and workflow tools such as Airflow or equivalents. - Background with data processing applications and modern cloud data infrastructure; comfortable using Linux command-line tools. - A STEM bachelor’s degree or equivalent industry experience in systems engineering.
Nice to have
- GitOps, infrastructure-as-code, CI/CD, source control, artifact management, observability, logging, secrets management, or data transfer tooling. - Experience with additional messaging and stream-processing platforms, coding and architecture patterns, and Agile delivery. - Familiarity with Docker or Google Anthos.
Benefits and work setup
This is a full-time role described as onsite and/or remote in Bethesda, Maryland. Listed benefits include medical, dental, and vision coverage, an employer-supported 401(k), paid holidays and vacation, a flexible schedule, and tuition reimbursement. Compensation is described as competitive and dependent on experience and location.