Talent Pipeline - Product Engineering
Sumo LogicRemote, IndiaPosted 19 March 2026
Tech Stack
Job Description
Don't see exactly the role you're looking for? No problem! At Sumo Logic, we're always on the lookout for talented professionals to join our team. By submitting your application here, you are expressing interest in potential engineering roles that may become available in the future.
Why Apply Now?
At Sumo Logic, we believe the best teams are built before the hiring starts. If you're curious about what's next in your career—even if you're not actively job hunting—we invite you to join our talent network. Submitting your profile now means you'll be first in line when the right opportunity opens.
You’ll stay on our radar for roles that match your expertise in cloud-native engineering, distributed systems, data security or observability —and we’ll reach out when the timing aligns.
Let’s build what’s next together.
Join the Minds Behind Modern Engineering
At Sumo Logic, our mission is simple: make the digital world faster, more reliable, and secure. Our AI-powered SaaS Log Analytics Platform helps organizations turn data into real-time, actionable insights—empowering Dev, Sec, and Ops teams to solve complex problems collaboratively.
By unifying enterprise data on a single platform with flexible pricing and a seamless interface, we eliminate the economic and technical barriers to ingesting, storing, and analyzing logs. This single source of truth drives smarter decisions, stronger security, and greater reliability across cloud infrastructures.
As we build the future, we remain driven by curiosity and innovation—pushing the boundaries of what's possible in security and observability. Sumo Logic continues to power DevSecOps with one of the most powerful tools in modern engineering.
Technologies We Use
Languages : Scala, Java, TypeScript
Frontend : React, Redux
Streaming Data : Kafka Streams, Elasticsearch
Infrastructure : AWS, Kubernetes, Docker
Areas of Engineering Focus
We regularly hire across a variety of engineering domains:
Backend Software Engineering – Resilient APIs, streaming pipelines, distributed services
Frontend Engineering – Intuitive and dynamic UIs built with React/Redux
ML Engineering – ML Ops, LLM Model, Python
SRE / Infrastructure Engineering – Platform scalability, reliability, automation
Product Management – Driving product vision, roadmap, and execution in collaboration with cross-functional teams
Product Design – Crafting thoughtful, user-centric experiences that balance function, form, and usability at scale
SDET - Ownership of creating and executing test plans and developing test strategies for critical system components
What We Value
Proficiency in Java, Scala, TypeScript, or similar
Experience with cloud-native platforms and microservices architecture
Knowledge of distributed systems, containerization, and DevOps best practices
A strong sense of ownership and an eagerness to collaborate across teams
About Us:
Sumo Logic, Inc., empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform™ helps practitioners and developers ensure application reliability, secure, and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. 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.
The expected annual base salary range is unavailable for this posting as your application will be considered for several types and levels of positions. Compensation varies based on a variety of factors which include (but aren’t limited to) such as rol ... (truncated, view full listing at source)
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