採用
Required Skills
Java
Scala
Distributed Systems
Multi-threaded Programming
System Design
Backend Development
Staff Software Engineer
- Data Ingest
Location: Noida/Bengaluru (Hybrid)
As a backend staff engineer in the Data Ingest team, you will be responsible for helping create a scalable, reliable and performant data 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 Data Ingest Team is responsible for making the ingestion pipeline of logs performant at petabytes of data per day, millions of data points per minute in metrics, and terabytes of data in tracing.
Responsibilities:
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Design and implement extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data.
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Analyze and improve the efficiency, scalability, and reliability of our backend systems.
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Write robust code; demonstrate its robustness through automated tests.
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Work as a member of a team, helping the team respond quickly and effectively to business needs.
Mentor junior engineers and improve software development processes.
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Evaluate, test, and provide technology and design recommendations to management.
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Write detailed design documents and documentation on system design and implementation.
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Take ownership in breaking down requirements into technical tasks and help estimate timelines.
Required Qualifications and Skills:
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B.Tech, M.Tech, or Ph.D. in Computer Science or related discipline
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9+ years of industry experience with a proven track record of ownership
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Object-oriented experience, for example in Java, Scala, Ruby, or C++.
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Experience in multi-threaded programming and distributed systems.
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Understand the performance characteristics of commonly used data structures (maps, lists, trees, etc).
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Desire to learn Scala, an up-and-coming JVM language (scala-lang.org).
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Experience working in teams with a heavy emphasis on Automation and Quality (CI/CD)
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Experience leading projects and mentoring engineers.
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Comfortable working with a remote team operating in multiple time zones.
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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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Team player, able to take and give constructive feedback and apply (from code reviews to 1-1s).
Desired Qualifications and Skills:
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Experience in big data and/or 24x7 commercial service is highly desirable.
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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.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
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About Sumo Logic

Sumo Logic
PublicSumo Logic, Inc. is a cloud-based data analytics company, focusing on cybersecurity, security analytics and observability. It provides log management and analytics services based on artificial intelligence.
501-1,000
Employees
Redwood City
Headquarters
Reviews
4.0
1 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
3.0
Career
3.0
Management
3.0
50%
Recommend to a Friend
Salary Ranges
2 data points
Junior/L3
Intern
Junior/L3 · Software Engineer
0 reports
$61,656
total / year
Base
-
Stock
-
Bonus
-
$52,410
$70,902
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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