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Engineering Manager (Backend)

Full time · Engineering · On-site · Bangalore

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Personal Information

First name*

Last name*

Email*

Profile

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Compensation

Current Compensation (lacs per annum)*

Please mention an approx. breakup of fixed + variable + LTIP

Expected Compensation (lacs per annum)*

Notice Period

What's your Notice Period in Days*

Screener

Provide links to Github, Blog, projects, etc*

Describe in < 3 sentences the most impressive thing you've built with or for AI agents. What it does. What challenges you solved for. Link if available*

Describe in a few sentences work you're proud of (links if available)*

Rate yourself*

Rate yourselves on: Scaling databases (sharding, replicas, partitioning, complex query optimization)*

None - no exposureBasic - theoretical understandingCompetent - < >Expert - hands-on experience multiple times in Production environment

Rate yourselves on: Concurrency & multi-threading (locks, race conditions, thread pools, async/parallelism)*

None - no exposureBasic - theoretical understandingCompetent - < >Expert - hands-on experience multiple times in Production environment

Rate yourself on: Event-driven architecture (queues, pub/sub, streaming)*

None - no exposureBasic - theoretical understandingCompetent - < >Expert - hands-on experience multiple times in Production environment

Rate yourself on: Observability (tracing, metrics, SLOs) and multi-region / HA*

None - no exposureBasic - theoretical understandingCompetent - < >Expert - hands-on experience multiple times in Production environment

Rate yourself on: Algorithms & data structures (complexity analysis, trees/graphs, dynamic programming, optimization)*

None - no exposureBasic - theoretical understandingCompetent - < >Expert - hands-on experience multiple times in Production environment

None

Basic

Competent

Expert

Scaling databases (sharding, replicas, partitioning, complex query optimization)

Concurrency & multi-threading (locks, race conditions, thread pools, async/parallelism)

Event-driven architecture (queues, pub/sub, streaming)

Observability (tracing, metrics, SLOs) and multi-region / HA

Algorithms & data structures (complexity analysis, trees/graphs, dynamic programming, optimization)

Describe your personal harness/setup: CLAUDE.md / AGENTS.md, rules files, MCP servers, custom commands/skills, sub-agents and anything you've built to steer agents.*