Golang Backend Developer job opportunity at Weekday AI.

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Date2026-01-21T10:21:11.671Z bot
Weekday AI Golang Backend Developer
Experience: 5-years
Pattern: Full-time
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India

This role is for one of the Weekday's clients Salary range: Rs 2500000 - Rs 3500000 (ie INR 25-35 LPA) Min Experience: 5 years Location: Remote (India) JobType: full-time Experience: 5–8 years Role Split: ~70% Golang / ~30% ReactJS Onboarding Expectation: Able to contribute to production within the first week Role Overview We are looking for an experienced Golang Backend Developer who has built and operated production-grade, scalable systems. The role is backend-heavy with meaningful frontend exposure and requires strong problem-solving skills, hands-on cloud experience, and the ability to quickly translate business requirements into reliable, maintainable code. 1) Mandatory Requirements Candidates should be shortlisted only if all criteria below are met: Professional Experience: 5–8 years of software development experience with recent, hands-on Golang usage in production environments Production Ownership: Proven experience building, deploying, and supporting live systems (not limited to proof-of-concepts) Scalable Systems: Hands-on exposure to event-driven microservices handling high throughput and concurrency Problem Solving & Reasoning: Ability to quickly convert business logic into correct implementations (e.g., simple financial or rule-based calculations) Rapid Ramp-Up: Demonstrated ability to set up environments, pick up tasks, and release code to production within one week of onboarding Communication Skills: Clearly explains architecture decisions, trade-offs, and personal contributions Code Quality: Writes clean, idiomatic Go with good structure, test coverage, error handling, and performance awareness Event-Driven Architecture: Experience with Kafka and/or AWS SQS/SNS, including idempotency, retries, and dead-letter queues gRPC: Protobuf-based API design, contract versioning, backward compatibility, and interceptor usage (authentication, logging) Data Stores: Strong experience with DynamoDB , including data modeling, partition keys, GSIs/LSIs, capacity planning, pagination, and consistency models Basic familiarity with PostgreSQL (ALTER statements, indexing, and replication concepts) Security: Working knowledge of OAuth 2.0 flows and JWT-based authentication Cloud: Practical experience with AWS, particularly Lambda and serverless architectures 2) Frontend Requirement (Approx. 30%) Minimum 1 year of hands-on ReactJS experience Comfortable working with existing component libraries Experience integrating APIs and managing basic application state Ability to make frontend changes without heavy guidance 3) Nice-to-Have Skills Experience using AI-assisted coding tools (e.g., Copilot, Codex, Cursor) responsibly to accelerate development while maintaining code quality Familiarity with Terraform , CI/CD pipelines, and deployment workflows Understanding of environment promotion and release processes 4) Key Concepts to Be Evaluated (Depth of understanding is prioritized over theoretical knowledge) Golang: Goroutines, channels, contexts, error handling, maps, testing practices System Architecture: Microservices, event-driven systems, service-to-service communication Cloud & Infrastructure: AWS fundamentals, Lambda patterns, serverless trade-offs Messaging Systems: Kafka, SQS, SNS Databases: DynamoDB and general NoSQL design principles (Cassandra basics a plus) PostgreSQL fundamentals (ALTER operations, indexing, replication concepts) Interfaces: gRPC and Protobuf Security: OAuth 2.0 and JWT authentication Code Quality: Idiomatic, readable, maintainable Golang code 5) Expected Interview Coverage (for Pre-Screening) Project Deep Dive: Architecture overview, team setup, and individual contributions Concurrency Discussion: Go concurrency patterns such as worker pools, fan-out/fan-in, and channel usage AWS Lambda Experience: Use cases, retry and backoff strategies, and issue resolution Event-Driven Design: Queue vs topic decisions, ordering guarantees, idempotency, and DLQs Data Design: DynamoDB partition and GSI strategy, pagination, and hot partition avoidance PostgreSQL indexing strategy, ALTER examples, and replication basics High-level discussion of event-driven patterns with Postgres (outbox pattern, NOTIFY/LISTEN, CDC) Performance & Reliability: Debugging API latency, profiling, caching, index usage, timeout handling Quick Reasoning Checks: Translating business rules into code and data models Core Skills Golang DynamoDB AWS Lambda ReactJS Kafka SQS / SNS

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