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Engineering Manager, Infrastructure Engineering

Build and maintain scalable, secure cloud infrastructure supporting Sigma's analytics platform
San Francisco, California, United States
Senior
$220,000 – 270,000 USD / year
2 days ago
Sigma Computing

Sigma Computing

A cloud-based analytics and business intelligence platform that enables users to explore, analyze, and visualize data without coding.

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Engineering Manager, Infrastructure Engineering

At Sigma, we are redefining how modern businesses leverage data by building a high-performance, cloud-native analytics platform. As we scale, we're looking for an infrastructure-focused Engineering Manager. You'll lead a team of skilled engineers responsible for the core platform infrastructure that powers Sigma's reliability, scalability, and velocity.

About the Role:

This is a player-coach role for an experienced infrastructure engineer ready to grow into a leadership position. You will guide the team technically and operationally, while also shaping career development and fostering a strong team culture. This role is ideal for someone who wants to grow as an engineering manager without stepping away from the code and architecture too soon.

What You Will Be Doing:

  • Lead and support a small, high-impact infrastructure team working across Kubernetes, Terraform, AWS, GCP, Azure, CI/CD, networking, and system observability.
  • Drive technical execution of the team's roadmap, ensuring delivery of scalable, secure, and resilient infrastructure.
  • Collaborate cross-functionally with security, product engineering, and leadership to align infrastructure initiatives with company goals.
  • Mentor and coach engineers, supporting their career development and helping them grow through regular feedback and guidance.
  • Contribute hands-on to architecture, design, and development, especially in areas of cloud orchestration, IaC, and infrastructure automation.
  • Establish best practices for infrastructure as code, cloud operations, and reliability engineering.
  • Foster a strong sense of ownership and accountability, setting clear expectations and helping the team maintain a high technical and operational bar.

You:

  • Have 5+ years of leadership experience in infrastructure, DevOps, or platform engineering roles.
  • Have worked extensively with Kubernetes, Terraform, and major cloud platforms (AWS, GCP, Azure) in production environments.
  • Are passionate about enabling engineers through reliable, scalable infrastructure.
  • Have a strong grasp of networking, security, and distributed systems fundamentals.
  • Want to stay hands-on with technology while growing your leadership and management skills.
  • Care deeply about creating a collaborative, inclusive team culture.

Additional Job Details

The base salary range for this position is $220k - $270k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

Benefits For Our Full-Time Employees:

  • Equity
  • Generous health benefits
  • Flexible time off policy. Take the time off you need!
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Commuter and FSA benefits
  • Lunch Program
  • Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

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Engineering Manager, Infrastructure Engineering
San Francisco, CA
$220,000 – 270,000 USD / year
Engineering
About Sigma Computing
A cloud-based analytics and business intelligence platform that enables users to explore, analyze, and visualize data without coding.