Lead Data Integration Dev-Ops​/Systems Engineer

Position: Lead Data Integration Dev-Ops / Systems Engineer
Description de l'entreprise

A best-in-class city that attracts best-in-class talent, Philadelphia is an incredible place to build a career. From our thriving arts scene and rich history to our culture of passion and grit, there are countless reasons to love living and working here. With a workforce of over 30,000 people, and more than 1,000 different job categories, the City of Philadelphia offers boundless opportunities to make an impact.

As an employer, the City of Philadelphia values inclusion, integrity, innovation, empowerment, and hard work above all else. We offer a vibrant work environment, comprehensive health care and benefits, and the experience you need to grow and excel. If you're interested in working with a passionate team of people who care about the future of Philadelphia, start here.

What We Offer:

Impact - The work you do here matters to millions.

Growth - Philadelphia is growing, why not grow with it?

Diversity & Inclusion - Find a career in a place where everyone belongs.

Benefits - We care about your well-being.

Description du poste

Dev-Ops and data integration systems engineering at the City offers a unique opportunity for impactful, dynamic work and professional growth while supporting platforms that directly improve City operations and public services. The Lead Dev-Ops / Data Integration Systems Engineer will help design, automate, secure, monitor, and improve the infrastructure that powers the City's enterprise data integration and data engineering platforms.

This position will help establish reusable infrastructure patterns, improve observability and security, reduce operational bottlenecks, and strengthen the City's ability to operate reliable data integration systems. The role will support cloud and hybrid infrastructure, deployment automation, containerized services, monitoring, secure access patterns, and operational practices for platforms such as Data Bridge, Data Bridge-Airflow, AIS, Mule Soft, enterprise APIs, data warehouses, and related systems.

The Lead Dev-Ops / Data Integration Systems Engineer will support priority infrastructure, platform, and integration needs across City government, while also contributing to the broader enterprise portfolio of data integrations, platforms, and systems maintained by City Geo.

We are looking for a candidate who is not only technically skilled, but also passionate about leveraging reliable infrastructure, automation, and data systems to improve City operations and community life. If you are eager to contribute to a team that values innovation, efficiency, service-oriented work, and data-driven decision-making, we encourage you to apply. Some prominent services the team is responsible for include Data Bridge, OIT's enterprise data warehouse, AIS, the City's custom address information systems which supports public address search and internal geocoding, and Data bridge-Airflow, a custom workflow generator and orchestrator for departmental integrations ((Use the "Apply for this Job" box below).)

and open data publishing. Some examples of OIT's commitment to serving the public through the effective and innovative integration of City open data include:

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www.phila.gov/solarmap

www.phila.gov/stressmap

Essential Functions

* Design, implement, maintain, and improve cloud and hybrid infrastructure supporting enterprise data

integration platforms and data engineering workflows.

* Build and maintain deployment automation for Linux and Windows servers, containerized workloads,

databases, integration runtimes, APIs, and workflow orchestration systems.

* Develop and maintain Infrastructure-as-Code and automation using tools such as Terraform, AWS CDK,

Helm, Git Hub Actions, Jenkins, Python, Bash, and Power Shell.

* Support containerized services and orchestration patterns using Docker and AWS services such as ECS,

EKS, ECR, Batch, Cloud Watch, and related tools.

* Configure, improve, and maintain system monitoring, alerting, logging, and observability using tools such

as Cloud Watch, Grafana, Prometheus, Alert Manager, and SNS.

* Support secure infrastructure patterns for sensitive or restricted data, including access control, secret

management, encryption, network segmentation, auditability, and least-privilege design.

* Support enterprise integration platforms and data systems, including Data Bridge, Data Bridge-Airflow,

AIS, Mule Soft, Postgres/PostGIS environments, APIs, and related application stacks.

* Improve operational reliability through backup automation, deployment standardization, incident

response practices, performance tuning, and lifecycle management.

* Work closely with data engineers, data architects, application teams, vendors, security teams, and

department partners to support reliable integrations and data services.

* Translate platform requirements into scalable infrastructure designs that can be reused across multiple

projects and departments.

* Troubleshoot complex…