Sumo Logic
About this role
Sumo Logic runs a cloud platform that ingests machine log data at petabyte scale and turns it into observability and security insight. This role sits deliberately across two hard problems at once: the backend systems that reliably ingest, manage and process that volume of heterogeneous data, and the agent layer that reasons over it. Concretely you would build the agent harness, the tools that work over big data, the orchestration layer for long running multi agent tasks, and the integrations to third party tools. The posting is honest that reliability in long running multi agent work is unsolved and that scaling an agent's usefulness needs careful context engineering. At 4 to 6 years this is the strongest genuinely mid level backend role on today's list for anyone who wants distributed systems and applied LLM work in the same job.
Who this is for
Required by the posting: a BTech, MTech or equivalent in computer science, data science or a related discipline, and 4 to 6 years of industry experience with a proven track record of ownership and delivery.
The day to day: design, implement and optimise the agentic AI platform, which the posting breaks down as the agent harness, proprietary tools that work over big data, the orchestration layer for multi agent long running tasks, and integrations to third party tools. You would join a small, cross geo team and are expected to define scope, set milestones and ship incremental, well tested improvements.
The two problems the posting frames the role around: building backend systems that reliably ingest, manage and process petabytes of heterogeneous, high volume data, and building the intelligence that reasons over that data to deliver real time insight. It states plainly that agent orchestration at their scale is highly complex and that long running multi agent tasks bring their own reliability problems.
Location: the posting header says Bangalore or Noida, the job is listed in Noida, and Sumo Logic's own posting metadata records the office requirement as Hybrid.
Who should apply: backend engineers four to six years in who are strong on distributed systems and want real agentic AI work rather than a wrapper around an API. Sumo Logic also has two SRE roles on today's list, at 4 to 6 and 8 or more years, if reliability is closer to your background.
The day to day: design, implement and optimise the agentic AI platform, which the posting breaks down as the agent harness, proprietary tools that work over big data, the orchestration layer for multi agent long running tasks, and integrations to third party tools. You would join a small, cross geo team and are expected to define scope, set milestones and ship incremental, well tested improvements.
The two problems the posting frames the role around: building backend systems that reliably ingest, manage and process petabytes of heterogeneous, high volume data, and building the intelligence that reasons over that data to deliver real time insight. It states plainly that agent orchestration at their scale is highly complex and that long running multi agent tasks bring their own reliability problems.
Location: the posting header says Bangalore or Noida, the job is listed in Noida, and Sumo Logic's own posting metadata records the office requirement as Hybrid.
Who should apply: backend engineers four to six years in who are strong on distributed systems and want real agentic AI work rather than a wrapper around an API. Sumo Logic also has two SRE roles on today's list, at 4 to 6 and 8 or more years, if reliability is closer to your background.
Apply on company site
Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.