2026)

Allegheny County Department of Human Services•Pittsburgh, PA

About The Position

At Allegheny County Department of Human Services (DHS), we are dedicated to making a direct, positive, and enduring difference in the lives of those in need. Over the past two decades, we've earned a national reputation for pioneering the use of analytics and technology to enhance the delivery of effective and efficient public services to our population of 1.3 million. We continuously discover new opportunities for data and technology to positively impact our clients' lives and maintain our leadership role in inspiring governments to invest in similar initiatives. Overview We are embarking on an exciting journey to modernize our data architecture at DHS to better support our operational and analytical needs. As a Senior Automation Engineer, your pivotal role will involve collaborating with our internal and partner data engineering teams to design and implement automated data and application deployment pipelines. This will enhance our ability to perform analytics and provide services to the community.

Requirements

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

Responsibilities

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.
Provide mentorship and guidance to junior engineers and actively share knowledge and expertise with the wider team.

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