SDE 2/3 (Backend)

Team: Engineering

Location: Bengaluru

Commitment: Full time

Workplace Type: onsite

what you'll do

• help build and ship next-generation backend capabilities - ai-led content research, webpage generation pipelines, lead capture, and integrations that power the product

• design and evolve apis and services across ecs, lambdas, step functions, queues, and the data stores behind them (postgres, mongo, redis)

• keep systems performant, robust, and reliable - query and workflow tuning, idempotency, retries, observability, and on-call-friendly runbooks

• collaborate with product and frontend teams on contracts, rollout, and failure modes so shipping stays fast without surprises in prod

• own high-risk paths with extra care - auth, migrations, multi-tenant boundaries, and anything that touches customer domains or data isolation

• write clear docs and runbooks for services, ops, and processes

why we'll like you

backend ownership

you have shipped production backend systems that other teams and customers depend on - not only scripts or one-off jobs

you are comfortable owning a bet from ticket to production - scoping, implementation, monitoring, and iteration

you can hold api design, data model, async workflows, and deployment in mind at once without losing the customer outcome

product minded

you tie technical work to customer and roadmap impact - you ask when and why is unclear instead of guessing

you prefer small, reviewable PRs and measurable rollout over large surprise diffs

you treat auth, migrations, and customer-domain routing as high-risk paths that deserve extra review and a clear rollback story

ai native

you have built or operated software where LLMs or AI pipelines are part of the product path - code generation, orchestration, evals, cost, testability and reliability included

you care about quality, cost, and failure modes of AI-assisted flows (latency, retries, queues, human-in-the-loop where needed)

backend capabilities

you have worked on Node.js and/or Python services in production at meaningful traffic, data volume, or workflow complexity

you are comfortable on AWS-shaped systems - lambdas, api gateway, ecs, rds postgres, sqs, step functions, secrets - or you ramp quickly with our stack

you know how to maintain reliable systems while shipping fast - observability (e.g. Sentry), sane defaults, and pragmatic tradeoffs

you know how to build and ship ci/cd pipelines and safe deploy patterns for the services you own

craft

you treat and nurture your code like a piece of art, with the right balance of simplicity and complexity, without sacrificing speed

you have a high bias to action (run those POCs with cursor/claude code), and a low bias to over-engineering

human

you build trust with PMs, designers, and engineers - async updates in Slack, threads not @channel noise

you admit what you do not know and pull in the right owner (buddy, infra, security) early

you explain complex ideas clearly in writing - specs, PR descriptions, and docs

you hold 3+ years of experience

why you'll love us

• you'll be part of an early team at a fast-growing company, with a lot of impact

• you'll get to work with really smart and helpful people

• we constantly adopt the latest technologies and stay close to the latest ai innovations

• opportunity to influence the direction of the product and engineering culture

• flexible PTO policy

• unlimited ai usage

• plus cool swag, a stocked pantry, and other benefits