TL;DR
Staff Software Engineer (Data): Responsible for creating a scalable, reliable, and performant data platform for observability and security products with an accent on ingestion pipeline of logs performant at petabytes of data per day. Focus on improving the efficiency, scalability, and reliability of backend systems.
Location: Noida/Bengaluru (Hybrid)
Company
hirify.global, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform.
What you will do
- Design and implement 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 and demonstrate its robustness through automated tests.
- Mentor junior engineers and improve software development processes.
- Evaluate, test, and provide technology and design recommendations to management.
- Take ownership in breaking down requirements into technical tasks and help estimate timelines.
Requirements
- B.Tech, M.Tech, or Ph.D. in Computer Science or related discipline
- 9+ years of industry experience with a proven track record of ownership
- Object-oriented experience, for example in Java, Scala, Ruby, or C++.
- Experience in multi-threaded programming and distributed systems.
- Understand the performance characteristics of commonly used data structures (maps, lists, trees, etc).
- Comfortable working with a remote team operating in multiple time zones.
Nice to have
- 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.
Culture & Benefits
- Team player, able to take and give constructive feedback and apply (from code reviews to 1-1s).
- Comfortable communicating about your work with both technical and non-technical team members, including fellow engineers, product managers, designers, and analysts.
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