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Salary
≈ $16k – $38k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 6+ years exp
Employment
Full-Time

First seen by Alion on Sep 2, 2026.

Overview
Company
Impact
Profile match
SarvaGram leverages technology and data science to provide financial services like loans and income generation opportunities in rural and semi-urban India for a financially secured livelihood.

Requirements:

  • 6 to 8 years in backend engineering with experience building shared services or platform components consumed by other teams - understanding that your customer is internal engineering is essential.
  • Has designed and maintained SDKs or shared libraries in production - knows what SDK stability means and has experienced the pain of breaking changes.
  • Experience with API gateway configuration and service mesh management in a microservices environment.
  • Active AI tool user - uses Cursor and Claude for development today; AI-assisted engineering is standard practice.

Mindset and Soft Skills:

  • Platform identity: Platform identity: 'My customer is other engineers' - takes pride in developer experience, documentation quality, and SDK ergonomics.
  • Reliability: Reliability obsession: platform services fail for twelve squads simultaneously when they go down - takes on-call, postmortems, and SLO management seriously.
  • AI-native: AI-native developer: Cursor and Claude are open all day - models the AI-augmented engineering practice Phoenix is responsible for demonstrating.
  • Documentation: Documentation culture: platform code without great docs is unusable - write runbooks, SDK guides, and ADRs as part of the definition of done.

Technical Skills:

  • Backend Engineering - Core: Java / Spring Boot and microservices / platform service design, REST API design (OpenAPI) and event-driven architecture (SQS / Kafka), SDK design and development and distributed systems patterns.
  • Platform Engineering - Core: API gateway implementation and service mesh (Istio / Linkerd), IAM / OAuth2 / RBAC implementation and feature flag systems, OpenTelemetry / distributed tracing and contract testing (Pact).
  • AI Native - Core Expectation: Cursor for daily development and Claude for coding and documentation, AI SDK integration design and LLM API patterns (rate limiting/fallback).
  • Added advantage: Kotlin and AWS (API GW / SQS / Lambda, Kong / Envoy and Kafka) and domain-driven design.
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