Senior Software Engineer - Observability and Reliability

New York City, United StatesOn-site

Responsibilities

Build observability tools and platforms, including: metrics, logging, distributed tracing, dashboarding, alerting, application performance management
Build with modern tools and languages like Go, Open Telemetry and Kubernetes
Create runtime tools/processes that optimize cloud triaging and limit downtime
Define best practices around making our systems and services measurable
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. We expect successful candidates to be coding a majority of their time

Strong Computer Science fundamentals 5+ years industry
Strong sense of craftsmanship, and a healthy academic curiosity
Knowledge of cloud application security models
Administered cloud service infrastructure (GCP, AWS, Azure) Startup experience
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse.
Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. Sigma’s 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.

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 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. About us:
Generous health benefits