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Description:
As a backend staff engineer in the Logs Ingest team, you will be responsible for creating a scalable, reliable, and performant log analytics platform for observability and security products.
You will empower customers to rapidly create high-quality analyses that enable them to react in real-time to events and incidents.
The Logs Ingest Team is tasked with making the ingestion pipeline of logs performant at petabytes of data per day.
Your responsibilities will include designing and implementing extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data.
You will analyze and improve the efficiency, scalability, and reliability of backend systems.
Writing robust code and demonstrating its robustness through automated tests will be part of your role.
You will work as a member of a team, helping the team respond quickly and effectively to business needs.
Acting as a Subject Matter Expert (SME) on Kafka, you will bring out best practices for managing petabytes of data ingestion per day.
Mentoring junior engineers and improving software development processes will be expected.
You will evaluate, test, and provide technology and design recommendations to management.
Writing detailed design documents and documentation on system design and implementation will be required.
You will take ownership in breaking down requirements into technical tasks and help estimate timelines.
Requirements:
A B.Tech, M.Tech, or Ph.D. in Computer Science or a related discipline is required.
You should have 8+ years of industry experience with a proven track record of ownership.
Object-oriented experience in languages such as Java, Scala, Ruby, or C++ is necessary.
Experience in running Kafka clusters at a large scale is essential.
You should have experience in multi-threaded programming and distributed systems.
A strong understanding of the performance characteristics of commonly used data structures (maps, lists, trees, etc.) is required.
A desire to learn Scala, an up-and-coming JVM language, is expected.
Experience working in teams with a heavy emphasis on Automation and Quality (CI/CD) is necessary.
You should have experience leading projects and mentoring engineers.
Comfort in working with a remote team operating in multiple time zones is required.
You must be comfortable communicating about your work with both technical and non-technical team members, including fellow engineers, product managers, designers, and analysts.
Being a team player, able to take and give constructive feedback and apply it, is essential.
Benefits:
Employees will be empowered to deliver reliable and secure cloud-native applications through the Sumo Logic SaaS Analytics Log Platform.
You will gain insights into cloud infrastructures and ensure application reliability while protecting against modern security threats.
The company provides a collaborative environment that encourages professional growth and development.
Employees are expected to comply with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.