Senior Software Engineer - Observability and Reliability
Sigma Computing
Sigma Computing is also hiring for this role in New York City, NY.
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This role on the market
188 open observability roles across 73 companies are on ApplySarthi right now, most of them in Bengaluru (11), Hyderabad (6), Pune (2).
- Staff Research Scientist - Post-Training for Observability Native ModelsDatadog
- Software Development Manager, Observability & Digital Thread, Amazon Leo, D2D SoftwareAmazon
- Security Engineer III - Java/ObservabilityJPMorgan
- Director, Observability Architects (Americas) | USA | RemoteGrafana Labs
- Software Development Engineer, NetOS ObservabilityAmazon Web Services
What observability roles keep asking for: Observability (86%), Kubernetes (43%), System design (38%), Python (37%), AWS (33%), Elasticsearch (21%), Java (20%), React (18%) — counted across their open postings here.
Software Engineer jobs in the United States · Software Engineer jobs in San Francisco · Remote Software Engineer jobs · AWS jobs · Azure jobs · Data warehousing jobs · Databricks jobs
Sigma Computing has 81 open roles listed here.
- Enterprise Customer Success Manager - East
- Senior People Ops Generalist
- HR Business Partner - Tech
- Digital Customer Success Manager
- Enterprise Solution Engineer - East
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for observability roles keep coming back to Observability, Kubernetes, System design, Python. Practise those questions before you sit with Sigma Computing.
Questions you are likely to be asked
- Why do you want to join Sigma Computing?
- What is your experience with Observability? Tell me one thing you learned the hard way.
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
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Senior Software Engineer - Observability and Reliability
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
- 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
- Participate in on-call rotation and ensure uptime of services
- 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
Qualifications We Need
- Strong Computer Science fundamentals
- 5+ years industry experience building and maintaining high-quality software, especially software other engineers use
- You apply a product mindset to infrastructure systems and feel accomplished enabling others
- 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 you’ll learn!)
- Experience building systems for data analytics
- Distributed systems monitoring and profiling skills
- Knowledge of cloud application security models
- Administered cloud service infrastructure (GCP, AWS, Azure)
- Startup experience
Additional Job details
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 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:
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. 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. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
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 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, veteran, or any other protected 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, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.
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 Sigma’s 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 the USA, the UK, and Canada, Australia).
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.
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Listed on greenhouse · posted 2026-06-10. ApplySarthi collects openings and links to application pages; the role is advertised by Sigma Computing, not by us.