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Staff Engineer
2 months ago
About CompanyWe are a cloud-native SaaS data analytics platform that solves 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 hundreds of petabytes of data.
Staff EngineerAs a backend staff engineer in the Logs Ingest team, you will be responsible for helping create a scalable, reliable and performant log analytics platform for observability and security products to empower our customers to rapidly create high-quality analyses that enable them to react in real-time to events and incidents. The Logs Ingest Team is responsible for making the ingestion pipeline of logs performant at petabytes of data per day.
ResponsibilitiesDesign and implement extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data.Analyze and improve the efficiency, scalability, and reliability of our backend systems.Write robust code; demonstrate its robustness through automated tests.Work as a member of a team, helping the team respond quickly and effectively to business needs.Act as an SME on Kafka and bring out the best practices for using Kafka to manage petabytes of data ingestion per day.Mentor junior engineers and improve software development processes.Evaluate, test, and provide technology and design recommendations to management.Write detailed design documents and documentation on system design and implementation.Take ownership in breaking down requirements into technical tasks and help estimate timelines.
RequirementsB.Tech, M.Tech, or Ph.D. in Computer Science or related disciplineWe are only looking for Tier-1/ 2 colleges and product Companies.8+ years
of industry experience with a proven track record of ownershipObject-oriented experience, for example in
Java, Scala, Ruby, or C++.Experience in running Kafka clusters at a large scale.Experience in
multi-threaded programming and distributed systems.Understand 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 working in teams with a heavy emphasis on Automation and Quality (CI/CD)Experience leading projects and mentoring engineers.Comfortable working with a remote team operating in multiple time zones.Comfortable communicating about your work with both technical and non-technical team members, including fellow engineers, product managers, designers, and analysts.Team player, able to take and give constructive feedback and apply (from code reviews to 1-1s).
Desirable:Experience in big data and/or 24x7 commercial service is highly desirable.Agile software development experience (test-driven development, iterative and incremental development) is a plus.
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