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  • Seen live on Lenskartcareers' site 2 days ago
  • Mid level
Pay
Not stated
Location
Bengaluru, Karnātaka, India
Open for
13+ days
First seen
Oct 22, 2026

Posting record

No flags

Open 13+ days

The posting's record, oldest first
  1. Already up when Ghostless started watching Lenskartcareers
  2. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Lenskartcareers, so its true age is longer.

Last checked Nov 3, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Role: SDET / Senior SDET — Backend & Scalable Automation

Team: Lenskart Platform Engineering

Experience: Substantial hands-on backend automation

About the team

Lenskart's warehouse management platform is a Kafka-driven ecosystem of roughly 40 microservices spanning procurement, receiving, the inventory ledger, picking, quality control, packing, manifesting, and dispatch. It's the system that decides how a pair of glasses moves from a vendor shipment to a customer's doorstep, across every geography Lenskart serves. It runs on async event chains, shared inventory ledgers, and dozens of services calling each other in real time — which makes testing it a genuinely different problem from testing a typical CRUD app.

What you'll own

· End-to-end automation across the fulfillment chain — picking → QC → packing → manifest → dispatch — spanning 30+ services, not a single app.

· Event-contract testing on Kafka — validating producer/consumer correctness across async hops (order hand-off, QC-pass events, manifest-close events, exception routing) where a broken contract fails silently until it doesn't.

· Data-consistency and reconciliation testing across the shared inventory ledger and the consolidated inventory layer — this is the class of bug that doesn't crash anything, it just quietly oversells stock across channels.

· Scaling the automation framework itself — distributed/parallelized test execution, containerized test runners, and CI/CD integration so suites stay fast as the service count keeps growing.

· API and contract testing across REST/Feign inter-service calls, plus failure-injection testing for the exception-management state machine (retries, dead-letter topics, escalation paths).

· Performance/load testing for peak-demand periods.

· Chaos testing for Blast radius.

· Partnering directly with engineering leads on quality gates and shift-left practices and sitting in architecture reviews for new services as a design-time voice, not a post-release gate.

· Mentoring — raising the automation bar across the SDET function, not just your own output.

Must-have

· 2+ years in automation/SDET roles, with real depth in backend API automation (REST + message-driven systems), not primarily UI automation.

· Strong Java + a test framework (TestNG/JUnit, RestAssured or equivalent).

· Hands-on experience testing event-driven/Kafka-based architectures .

· Strong SQL and comfort reasoning about data consistency across distributed services.

· CI/CD experience (Jenkins/GitLab CI) and experience scaling test execution (parallelization, containerization).

· Solid grasp of microservices failure modes — idempotency, retries, eventual consistency, partial failure.

Nice-to-have

· Experience testing warehouse, OMS, or logistics/supply-chain platforms.

· Load-testing tools (JMeter/locust/gatiling/k6).

· Exposure to Elasticsearch, Redis, and observability tooling.

· Chaos-engineering or fault-injection experience.

Why this role matters

A bug caught here isn't a UI glitch — it's a misship, a wrong invoice, or a SKU oversold across a live channel. Lenskart delivers across multiple geographies simultaneously, each with different tax regimes, couriers, and cutoff rules running through the same platform — building automation that holds up under that is a rare, senior-level problem, not a checkbox exercise.

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