Why This Job is Featured on The SaaS Jobs
This Staff Software Engineer role sits at the core of a cloud-native observability and security SaaS platform, where query performance and system reliability directly shape customer experience. Work on a proprietary query engine for logs, metrics, and traces places the position in a part of the SaaS stack where product differentiation often comes from speed, scale, and cost efficiency rather than surface-level features. The operating context described, petabytes ingested daily and high query volumes across regions, signals a mature platform with meaningful production constraints.
From a SaaS career perspective, the role builds durable expertise in running and evolving large-scale distributed systems on AWS, with clear exposure to multi-tenant realities such as noisy-neighbor risks, latency sensitivity, and cost governance. Ownership of microservices, performance tuning, and on-call responsibilities develop the operational judgment that senior SaaS engineering tracks tend to reward, especially in data-intensive products.
It best suits an engineer who prefers deep backend work, measurable outcomes, and disciplined engineering practices such as automated testing and iterative delivery. The emphasis on algorithms over large datasets and willingness to learn Scala points to someone motivated by systems craftsmanship and long-horizon platform improvements.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Staff Software Engineer - Data Query
Location: Noida, Uttar Pradesh/ Bengaluru, Karnataka, India
Sumo Logic is a cloud-native SaaS data analytics platform, solving complex observability and security problems. Customers choose our product because it allows them to easily monitor, optimize and secure their applications, systems and infrastructures.
Our microservices architecture hosted on AWS ingests petabytes of data daily across many geographic regions. Millions of queries a day analyze thousands of petabytes of data.
The Data Query Team is responsible for building scalable, cost-efficient and highly available backend services for building and managing a proprietary query engine for logs, metrics and tracing product. You will join a team that is responsible for serving hundreds of millions of queries per day and analysing thousands of petabytes of data.
What you will do:
- Develop features using algorithms that work optimally on very large data sets. These features would run on our backend systems that can handle enormous amounts of customer data, operate with high tolerance for errors, and can scale up as needed.
- Innovate to improve the performance and optimise costs of the query engine.
- Follow test-driven development.
- Write robust & re-usable code, demonstrate its robustness through automated tests.
- Own microservices, analyse and improve the efficiency, scalability, reliability and cost for the same.
- Helping the team respond quickly and effectively to business needs.
- Act as a primary on-call for owned services, responding to service degradations in a timely manner.
What you will have:
- B.Tech/M.Tech/BSc/MSc in Computer Science or a related discipline.
- 9-12 years of industry experience with a proven track record of ownership.
- Worked/contributed on large scale distributed systems is a must.
- Object-oriented experience, for example in Java, Scala, Ruby, or C++.
- Understanding the performance characteristics of commonly used data structures (maps, lists, trees, etc).
- Desire to learn Scala, an up-and-coming JVM language (scala-lang.org).
- Experience in multi-threaded programming
- Experience in running large scalable distributed services following a microservice architecture
Desirable skills:
- You should be happy working with Unix (Linux, OS X).
- Agile software development experience (test-driven development, iterative and incremental development) is a plus.
About Us
Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.
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