Talent Pipeline - Product Engineering at Sumo Logic

, , India -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

0.0

Posted On

07 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Scala, TypeScript, React, Redux, Kafka Streams, Elasticsearch, AWS, Kubernetes, Docker, Cloud-Native Engineering, Distributed Systems, Microservices Architecture, DevOps, ML Ops, Python

Industry

Software Development

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 role level, skills and competencies, qualifications, knowledge, location, and experience. In addition to base pay, certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings, and equity awards. #LI-Remote

Responsibilities

This is a talent pipeline for various product engineering roles including backend, frontend, ML, and SRE. Candidates will contribute to building an AI-powered SaaS Log Analytics Platform to improve digital reliability and security.