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Full stack Developer with Go, Next.js 16, React 19 and PostgreSQL

Exclusive opportunity

Hybrid

Full stack Developer with Go, Next.js 16, React 19 and PostgreSQL

CGI

Full stack Developer with Go, Next.js 16, React 19 and PostgreSQL

Skills

Google Cloud PlatformNextDockerReactTypescriptGolangMicroservicesPostgreSQLSwagger/OpenAPIAIAWSGitHubKubernetesTerraformAzure

13 days ago

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Important information


Contract type:

Permanent

Salary:

₹1,100,000 – ₹2,100,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

6 October 2026

What they need


Programming: Golang, ReactJS, NextJS, Docker, Microservices, Postgresql, AI (Models, agents, Gemini, OpenAI)

Additional (non-programming) GIt, MCP, Multi-Tenant, Docker, KS8/Kubernetes,

Domain: Wealth Management

Cloud: GCA / Azure

Must-Have Requirements

  • 10+ years of software engineering experience with a strong platform or backend focus
  • Proficiency in Go microservice structure, HTTP middleware, repository patterns, PostgreSQL integration, and distributed systems debugging
  • PostgreSQL — schema design, migrations, logical replication concepts, and query optimisation
  • TypeScript / React / Next.js — able to build and ship portlets and shared packages in a monorepo independently
  • REST API design — versioning, pagination, OpenAPI/Swagger, and API-first thinking for any consumer type
  • Practical daily use of AI coding assistants (Claude Code, GitHub Copilot, Cursor, or equivalent) as a core part of how you write, test, and review code
  • Experience with containerisation and CI/CD (Podman or Docker, Compose, pipeline automation)
  • Test-driven mindset across unit, integration, end-to-end, and load testing
  • Experience with deploying applications to cloud in AWS / GCP or Azure

Nice to Have

  • CDC / event streaming — logical replication, WAL consumers, projection table design
  • AI agent tooling / MCP — building or consuming Model Context Protocol servers; designing auditable agentic workflows in regulated or financial contexts
  • LLM tool-use patterns — structured outputs, function calling, agent orchestration frameworks
  • Multi-tenant SaaS — tenant isolation, regional data residency, schema-per-service patterns
  • Micro-frontend architectures — iframes, cross-frame messaging, signed embed URLs
  • OIDC / Keycloak, Terraform
  • Wealth management domain knowledge (portfolios, custodians, securities)

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