Senior DevOps Engineer

Overview

We are embarking on an exciting journey to modernize our data architecture at DHS to better support our operational and analytical needs.

Projects

• Supporting the data engineering team in developing automated data pipelines to integrate and process information from multiple social service agencies.
• Implementing and maintaining automated model deployment systems in partnership with the data science team.
• Modernizing application deployment and monitoring pipelines to assist engineering teams with phased application deployment.
• Design, implement, and manage continuous integration/continuous deployment (CI/CD) pipelines to automate the build, test, and deployment processes.
• Implement robust monitoring and alerting mechanisms to maintain system reliability, data quality, and performance.
• Identify, develop, and implement new processes to improve productivity and efficiency in software development and deployment.

The Ideal Candidate

• Possesses strong problem-solving skills and a creative approach to overcoming technical challenges.
• Has an in-depth understanding across multiple technical areas - including Python development, SQL, data science & information architecture.
• Has over 5 years of experience in DevOps or automation work, including hands-on experience with Kubernetes and Azure Cloud services.
• Has experience with a variety of tools that facilitate automation, orchestration, and CI/CD, such as Apache Airflow, GitHub Actions, and Azure DevOps.
• Has implemented application monitoring solutions like Sentry, Datadog, or LogRocket.
• Thrives in a collaborative environment and enjoys mentoring junior team members.

How to Apply

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