Engineering Manager, Infrastructure (DevX & Data Eng)

As the Engineering Manager, Infrastructure (DevX & Data Eng) at Zip, you'll be responsible for leading Developer Experience and Data Engineering initiatives. This includes evolving the CI/CD pipeline, modernizing deployment processes, establishing operational excellence, and building high-performing teams. Your role will also involve collaborating with product managers and software engineers to meet complex analytics and tooling needs.

To qualify for the Engineering Manager, Infrastructure (DevX & Data Eng) position at Zip, candidates should have at least 6 years of software engineering experience and 2 years managing teams of 5 or more engineers. A proven track record in DevX leadership and expertise in CI/CD systems is essential. Candidates should also hold a Bachelor's degree or higher in Computer Science or a related technical field.

Preferred experience for the Engineering Manager, Infrastructure (DevX & Data Eng) at Zip includes familiarity with data engineering, SaaS, or FinTech industries, and a history of managing large-scale 0->1 projects. Experience in building internal tools for product analytics could also be a significant asset.

Zip offers a range of perks and benefits for the Engineering Manager role, including startup equity, full health, vision, and dental coverage, catered meals, flexible PTO, a commuter benefit, and team-building events. Employees also receive Apple equipment and a home office budget to ensure they work effectively and comfortably.

The Engineering Manager, Infrastructure (DevX & Data Eng) at Zip can contribute to innovation by leading efforts to enhance developer productivity, implementing data-driven decisions, and fostering a culture of excellence within their teams. By modernizing processes and optimizing CI/CD systems, you will ensure that innovative ideas can be transformed into reality swiftly and efficiently.

In prioritizing tasks and requests from internal stakeholders, I focus on understanding the impact each request has on team productivity and project deliverables. Utilizing frameworks like the Eisenhower Matrix helps me categorize tasks by urgency and importance, ensuring that I align team efforts with company objectives effectively.

I have extensive experience with CI/CD systems including GitHub and GitLab, where I've successfully implemented processes to enhance code quality and deployment speed. I focus on automating testing and deployment pipelines and ensuring that they integrate seamlessly with development workflows to maintain high code quality standards.

To manage and mentor a diverse engineering team, I emphasize open communication and inclusivity, setting aside regular one-on-ones to understand individual needs. I encourage continuous learning by providing resources for skill development and creating an environment where team members can share insights and support one another.

In my previous role, I led a DevX initiative where we restructured our CI/CD pipeline, resulting in a 30% increase in development speed. I rallied the team to embrace new tools and frameworks, organized workshops to upskill our engineers, and encouraged feedback to ensure continuous improvement in our processes.

Building a high-performing engineering team starts with hiring the right talent and creating a culture that promotes ownership and accountability. I focus on aligning team goals with company objectives, fostering collaboration, and ensuring that team members feel appreciated and empowered to take risks, which leads to higher productivity and job satisfaction.

Essential tools for improving developer productivity include project management software like Asana or JIRA for task tracking, CI/CD tools for automated processes, and internal productivity tools that facilitate collaboration and communication among team members.

Handling conflicts within my engineering team involves addressing issues openly and fostering discussions to allow all parties to express their viewpoints. I encourage a culture of respect and understanding, and I work collaboratively with team members to find a resolution that aligns with our shared goals.

My process for measuring engineering velocity involves tracking key performance indicators, such as code commit frequency, pull request turnaround times, and deployment success rates. I analyze this data to identify trends and areas for improvement and implement strategies to enhance team performance accordingly.

Key elements of a successful build, test, and release cycle include clear documentation, automated testing, rigorous code reviews, continuous integration practices, and well-defined release management processes to ensure timely and smooth deployments without compromising on quality.

I stay updated on the latest trends in DevX and data engineering by participating in industry conferences, following thought leaders in tech, and engaging in online communities and forums. I also incorporate relevant books and articles into my continuous learning initiatives for my team to ensure that we remain at the forefront of technological advancements.