Engineering Manager, Infrastructure Engineering at Sigma Computing

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud ComputingIndustries

Requirements

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

Responsibilities

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

Skills

Kubernetes

Terraform

AWS

GCP

Azure

CI/CD

Networking

System Observability

IaC

Cloud Orchestration

Infrastructure Automation

Sigma Computing

Cloud-based data analytics platform for businesses

About Sigma Computing

Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$550.9MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.

Risks

Competition from Tableau and Power BI could threaten Sigma's market share.

Reliance on platforms like Snowflake may impact service delivery if disruptions occur.

High valuation pressures Sigma to deliver rapid growth, risking strategic misalignment.

Differentiation

Sigma offers a spreadsheet-like interface for non-technical users to analyze data.

The platform integrates with major data warehouses like Snowflake and BigQuery.

Sigma's AI features include natural language processing and sentiment analysis.

Upsides

Sigma raised $200M in Series D funding, valuing it at $1.5 billion.

The platform's scalability allows analysis of billions of data rows efficiently.

Sigma's partnerships enhance data accessibility and integration for users.

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