Golang Developer(AI)
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Salary
≈ $16k – $38k per year (Estimated)
Location
In office (Pune)
Experience
5+ years exp
Employment
Full-Time
First seen by Alion on Oct 26, 2026.
Overview
Company
Impact
Profile match
Sonata Software is an Indian IT services and technology company headquartered in Bengaluru that provides modernization engineering across cloud, data, AI, Microsoft Dynamics, test automation and managed services. Founded in 1986 and listed in India, it runs the Harmoni.AI enterprise platform and works with Fortune 500 clients in banking, retail, healthcare, manufacturing and technology, with a presence in the US, UK, Malaysia, Mexico, Australia, the DACH region and the Nordics. It hires data and cloud architects, MLOps and DevOps engineers, .NET and full-stack developers, identity and security specialists, SharePoint administrators and JD Edwards consultants.
Job Description
Backend Developer – Go / Golang
Role Overview
We are looking for a Backend Developer with 5–10years of software development experience and strong expertise in Go (Golang) to build scalable backend services, APIs, and distributed workflows. The role involves working with cloud-native data platforms, workflow orchestration, search, caching, and real-time systems within a production SaaS environment.
Key Responsibilities
A successful developer will build reliable, scalable, and well-tested backend services, make sound decisions across databases, workflows, caching, and distributed systems, effectively use AI-assisted engineering tools, and take ownership of solutions from design through production.
Backend Developer – Go / Golang
Role Overview
We are looking for a Backend Developer with 5–10years of software development experience and strong expertise in Go (Golang) to build scalable backend services, APIs, and distributed workflows. The role involves working with cloud-native data platforms, workflow orchestration, search, caching, and real-time systems within a production SaaS environment.
Key Responsibilities
- Design, develop, and maintain backend services and microservices using Go, including APIs, service contracts, and inter-service communication.
- Build scalable data-driven services using GCP Firestore, MongoDB Atlas, Elastic Cloud, and appropriate data-access patterns.
- Develop resilient distributed workflows and background processing using Temporal.
- Implement caching and high-performance data-access patterns using Redis and Valkey.
- Integrate backend services with Centrifugo, APIs, and other distributed-system components where required.
- Build automated unit, integration, and API tests, and contribute to reliability, observability, security, and production troubleshooting.
- Use AI development tools such as Cursor, Claude, GitHub Copilot, or equivalent to accelerate development, testing, debugging, code review, and technical problem-solving.
- 5–8 years of software development experience , with strong hands-on expertise in Go (Golang).
- Hands-on experience developing AI-enabled capabilities or integrating AI/ML models, LLMs, or AI services into production products.
- Strong knowledge of Go concepts including concurrency, goroutines, channels, interfaces, context handling, and idiomatic Go development.
- Experience building REST APIs, microservices, and distributed systems, including error handling, retries, idempotency, timeouts, and asynchronous processing.
- Experience working with NoSQL databases and distributed data stores; exposure to technologies such as Firestore or MongoDB is preferred.
- Experience with automated testing, Git-based development, CI/CD, observability, API security, and production troubleshooting.
- Practical experience using AI-assisted development tools such as Cursor, Claude, GitHub Copilot, or similar tools in day-to-day engineering workflows.
- Hands-on experience with GCP Firestore, MongoDB Atlas, Elastic Cloud/Elasticsearch, Redis, or Valkey.
- Experience with Temporal or similar workflow orchestration platforms.
- Experience with Centrifugo, WebSockets, gRPC, Protocol Buffers, or OpenAPI/Swagger.
- Experience modernizing or integrating with legacy Python services, particularly environments transitioning away from Python 2.7.
- Experience working with large-scale SaaS or cloud-native distributed systems.
A successful developer will build reliable, scalable, and well-tested backend services, make sound decisions across databases, workflows, caching, and distributed systems, effectively use AI-assisted engineering tools, and take ownership of solutions from design through production.
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