Reval LogoFind More Talent
MN

Madhumita Nagle

Software Engineering Manager specializing in Alexa AI and large-scale distributed systems

Sunnyvale, CASoftware Engineering Manager14 years experienceDirectorTechnologyArtificial IntelligenceCloud Computing
ScreenedReferences VerifiedIdentity VerifiedStrongly Recommended

Connect with Madhumita

Madhumita already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Recommended

Already have an account?

About

Engineering manager/player-coach in the Alexa media ecosystem who led delivery of a Tier-1 gateway service enabling third-party providers (e.g., Spotify/Pandora) to control playback across users’ Echo devices, driving 10–15% lifts in engagement metrics. Deep in API design, AWS infrastructure choices (EC2 vs Fargate), OAuth/LWA auth flows, and production rigor (security reviews, load testing, feature-gated dial-ups), with demonstrated incident ownership and operational automation wins.

Experience

Software Engineering ManagerAmazon Alexa
Senior Software DeveloperAmazon Music
Software Development Engineer (SDE1 And SDE2)Amazon Music

Education

Syracuse Universitymaster, Computer Science
Mumbai Universitybachelor, Electronics Engineering

Key Strengths

  • Led launch of Tier-1 gateway service exposing 8 APIs enabling 3P apps (e.g., Spotify/Pandora) to control media across Alexa devices
  • Drove cross-team API design alignment and resolved nomenclature/contract conflicts via structured 1-pager and stakeholder syncs
  • Strong execution on end-to-end delivery: infra selection (CoralRest, EC2), auth integration (LWA/OAuth), security review, testing, and production rollout behind API gateway
  • Quality-focused engineering leadership: feature-branch workflow, pre-prod end-to-end testing evidence in CRs, and enforcing unit/integration test coverage
  • Performance optimization mindset (introduced caching/memcache to reduce downstream calls and save ~10ms per request)
  • Incident/reliability ownership: diagnosed and fixed Amazon Music playback initiation issue by implementing External Media Player workflow; validated via gamma testing, QA, feature gate, and 3-day dial-up
  • Scoped ambiguous product work with tradeoffs (reduced scope from all providers to 2P due to legal ambiguity) and managed dependencies to ship
  • Operational efficiency improvement: automated ~300 manual Q4 throttling config updates, reducing effort from ~3 days to ~2 hours

Reference Highlights

Strongly Recommended
  • Very effective manager
  • Handles multiple projects in parallel
  • Provides individualized attention to team members
  • Strong technical understanding despite being less hands-on
  • Leverages individual strengths when assigning work
  • Accurate/considered scope estimation
  • Proactively unblocks the team and resolves blockers
  • Proactively manages external dependencies
  • Challenges assumptions to improve solutions
  • Thorough in covering scenarios and edge cases
  • Improves solutions and eliminates unnecessary work
  • Drives complex, long-running projects to delivery
  • Delivered customer-facing outcomes with high customer satisfaction
  • Strong ownership during incidents
  • Ensures issues are understood, debugged, and fixed properly
  • Approachable and enjoyable in 1:1s
  • Proactive in noticing when someone needs help
  • Effective at developing people; multiple promotions under her leadership
  • Effective cross-team partner; viewed positively across teams
  • Keeps meetings on topic and drives progress
  • Reliable and someone others can count on

Discover more candidates like Madhumita

Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.

Search Talent

Connect with Madhumita

Madhumita already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Recommended

Already have an account?

Contact

candidate@example.com(555) 123-4567LinkedIn Profile
Sign up to view

Languages

English

Skills

Distributed SystemsAWSAmazon EC2AWS LambdaNoSQLAmazon DynamoDBAmazon SNSAmazon SQSAmazon Kinesis Data StreamsAmazon Kinesis FirehoseAmazon SageMakerAmazon BedrockClaudeAmazon NovaApache Spark