Want to professionalize your AI skills, pivot to an AI role and increase your salary?
Master AI Engineering with the most practical and comprehensive LLM Development certifications at Towards AI Academy.

Sigma Computing

Senior Software Engineer - Fullstack

Sigma Computing

Published 06 Apr 2026
New York, NY, USA
170K - 240K USD Annual
Full Time

Share this job

Role Highlights

Languages used

Rust
GO
SQL
Python

Key skills

AI
Data Exploration
Computer Science
API
Full Stack
Distributed Systems
Infrastructure
Cloud
Backend
Frontend
Security
Optimization
Database
Embedded
Mathematics
Console

Tools, Libraries and Frameworks

IOS
GraphQL
GCP
AWS
SnowFlake
Grid
JSON

Description

Back to jobsNewSenior Software Engineer - FullstackNew York City, NYApply  About the Role We are growing the engineering team and looking for engineers who have the chops to build and deliver world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible. What You Will Be Doing Solve challenging problems that arise in providing an interactive experience on data warehouses for data exploration and analysis. Build with modern tools and languages like Rust, Go, GraphQL, and Kubernetes Build infrastructure to support a modern cloud application Develop new algorithms and techniques for improving the performance and interactivity of our multi-tenant cloud application Design and implement new technologies and features to support our fast growing user base Collaborate with cross-functional groups - backend, frontend, design, product, customer support, sales and marketing to build an innovative product Qualifications We Need Strong Computer Science fundamentals 5+ years industry experience building and maintaining high-quality software Experience building and deploying robust and secure web APIs Desire to be a great teammate and have fun at work Strong sense of craftsmanship, and a healthy academic curiosity Qualifications We Want (also, skills youll learn!) Experience building systems for data analytics Distributed systems monitoring and profiling skills Knowledge of cloud application security models SQL query optimization and database internals Administered cloud service infrastructure (GCP, AWS) Startup experience Additional Job details The base salary range for this position is $170k - $240k annually. Compensation may vary outside of this range depending on a number of factors, including a candidates 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.About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the companys Series C round three years ago, promises to further accelerate Sigmas growth. Come join us! 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. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigmas Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigmas use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making

Required Qualifications and Skills

The role requires strong Computer Science fundamentals and at least five years of industry experience in building and maintaining high-quality software. Candidates must have experience in building and deploying robust and secure web APIs. A desire to be a great teammate and a strong sense of craftsmanship with academic curiosity are also necessary. Experience with data analytics systems, distributed systems monitoring, cloud application security models, SQL query optimization, and administering cloud infrastructure like GCP or AWS are considered beneficial.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Sigma Computing

Share

Share this job

Related jobs

AI
Integrations
Product Management
Customer Success
New York, NY, USA
Full Time
AI
Data Engineer
Data Architect
Data Infrastructure
San Francisco, CA, USA
Full Time
AI
Computer Science
Written Communication
Business Intelligence
London, UK
Full Time