Staff Software Engineer - Data Query

Sumo Logic

22h•Remote

About The Position

As a Staff backend engineer on the Data Query team, you will build a scalable, reliable, and performant analytics platform for observability and security products, enabling customers to rapidly perform high-quality, real-time analyses of events and incidents. The Data Query team manages the engine for querying exabytes of logs data, millions of metrics data points, and terabytes of tracing data every day. Your core responsibilities include designing and implementing highly performant code to minimize CPU and memory overhead, directly impacting our platform’s operational costs and performance.

Requirements

B.Tech, M.Tech, or Ph.D. in Computer Science or related discipline
8+ years of industry experience with a proven track record of ownership
Object-oriented experience, for example, in Java, Scala, Ruby, or C++
Understand the performance characteristics of commonly used data structures (maps, lists, trees, etc)
Experience in building backend services for handling data at a large scale
Experience leading projects and mentoring engineers
Comfortable working with a remote team operating in multiple time zones

Nice To Haves

Experience in multi-threaded programming and distributed systems
Experience in big data and/or 24x7 commercial service
Agile software development experience (test-driven development, iterative and incremental development)

Responsibilities

Design and implement extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data
Resource Efficiency: Optimize code to reduce latency and resource footprint in a microservices environment
Write robust code: demonstrate its robustness through automated tests
Cost Tracking: Implement telemetry and logging to help the PM team track granular cost-per-service metrics
Operational Excellence: Participate in on-call rotations and help troubleshoot performance bottlenecks in production
Work as a member of a team, helping the team respond quickly and effectively to business needs