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Golang(80%)+React(20%) Developer For One The Growing Digital Transformation Company

Golang(80%)+React(20%) Developer For One The Growing Digital Transformation Company

Acme ServicesRepublic Of India, IN
22 days ago
Job description

Job Mode : Permanent Remote

Notice Period : Immediate to 30 Days Max

Role : Golang Backend Engineer (with React exposure)

Experience : 5–8 years | Allocation : ~70% Go / ~30% ReactJS | Start : Able to contribute to production within week 1 of onboarding

Salary Range : Upto 25 LPA.

1) Mandatory Requirements (Shortlist only if ALL are met)

  • Experience : 5–8 years professional software development;

recent, hands-on Golang in production.

  • Production track record : Has built, deployed, and supported live systems (not POCs only).
  • Scalable systems exposure : Event-driven microservices that run at scale (throughput / concurrency).
  • Reasoning & math : Can quickly translate business rules into code (e.G., compute GST 28% on 100 ).
  • Rapid ramp-up : Can ship to production within 1 week of onboarding (env setup, first ticket, release).
  • Communication : Can clearly explain own architecture, trade-offs, and contribution.
  • Coding quality : Smart, idiomatic Go (clean design, tests, error handling, performance awareness).
  • Event-driven architecture : Kafka / SQS / SNS , idempotency, retries, dead-lettering.
  • gRPC : Protobuf contracts, versioning / backward compatibility, interceptors (auth / logging).
  • Data : Strong DynamoDB (modeling, partitions / GSIs / LSIs, capacity, pagination, consistency).
  • Bonus if familiar with Postgres basics (ALTER, indexing, replication concepts).
  • Security : OAuth 2.0, JWT flows.
  • Cloud : AWS with Lambdas & serverless patterns.
  • 2) Frontend Requirement (30% of the role)

  • ReactJS ≥ 1 year hands-on.
  • Comfortable re-using existing components , API integration, basic state patterns.
  • 3) Nice-to-Haves (Plus)

  • AI coding tools exposure (e.G., Copilot / Codex / Sonnet / Cursor) with responsible use —candidate has used these to accelerate 70–80% of a feature while maintaining code quality.
  • Terraform & deployment knowledge (CI / CD, environment promotion).
  • 4) Topics to Vet (Conceptual depth over theory)

  • Go : concurrency (goroutines, channels, contexts), error handling, maps, testing.
  • Architecture : microservices, event-driven design, data communication.
  • Cloud : AWS (Lambdas, serverless), infra basics.
  • Messaging : Kafka, SQS / SNS .
  • Data : DynamoDB / NoSQL (also Cassandra basics), Postgres (ALTER / indexing / replication).
  • Interfaces : gRPC .
  • Security : OAuth 2.0, JWT .
  • Code quality : “ vibe coding ” = idiomatic, readable, maintainable Go.
  • Note : We require understanding of concepts , not just recitation.

    5) Expected Interview Coverage (so agencies can pre-screen)

  • Project deep-dive : Overview & architecture of current / last project;
  • team structure ;
  • candidate’s role / impact.

  • Concurrency mini-task : Small code discussion or snippet (worker pool / fan-out-fan-in) + channel usage .
  • AWS Lambdas : Where they used Lambdas, patterns for retries / backoff;
  • how they solvedissues .

  • Event-driven system : Design choices (topic / queue, ordering, idempotency, DLQ).
  • Data :
  • DynamoDB : partition / GSI design, pagination, hot partition avoidance.
  • Postgres : an ALTER example;
  • indexing strategy;
  • replication basics.

  • Event-driven in Postgres (e.G., outbox, NOTIFY / LISTEN, CDC—at a high level).
  • Performance & reliability : Troubleshoot API slowness (profiling, N+1, caching, indexes, timeouts);
  • query slowdown approach.

  • Quick reasoning checks : e.G., GST 28% on 100 ;
  • mapping a business ruleto code / data model.

    6) Disqualifiers (Immediate “No”)

  • Only academic / POC experience;
  • no production deployments .

  • Cannot explain own work or architecture coherently.
  • Weak DynamoDB fundamentals (poor modeling;
  • unaware of GSIs / partitions).

  • Cannot write or reason about basic Go concurrency / channels .
  • No experience with event-driven patterns or gRPC in practice
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