Cloud Software Engineer

Location : Bangalore

Notice Period: Immediate

About the Role

We are seeking an experienced Cloud Software Engineer to architect and implement microservices on AWS. This role focuses on developing high-performance backend services, real-time data pipelines, and IoT integrations using Go. You will work within a Scrum team, delivering production-grade distributed systems that handle complex data flows and inter-service communication.

Key Responsibilities

• Design and develop microservices on AWS using Go
• Design and develop RESTful APIs and gRPC services with Protocol Buffers
• Build real-time data pipelines and IoT backend integrations using MQTT and HTTP
• Develop event-driven systems using message queues for asynchronous processing
• Design and optimize database schemas for both relational and NoSQL databases
• Implement containerized services using Docker for consistent deployment
• Apply concurrency patterns using goroutines and channels for high-throughput processing
• Collaborate with architects and product teams to translate requirements into technical solutions
• Participate actively in Scrum ceremonies (Sprint Planning, Daily Standup, Review, Retrospective)

Required Skills

• Go Programming: 5-8 years of hands-on experience with production-level Go development
• AWS Services: Hands-on experience with core AWS services.
• API Design: Proficiency in building RESTful APIs
• Databases: Proficiency with relational databases (PostgreSQL/MySQL) and NoSQL (DynamoDB)
• Messaging & Protocols: Experience with MQTT, HTTP, and message queues (SQS, SNS)
• Containerization: Hands-on experience with Docker
• Version Control: Proficiency with Git in a team environment
• Agile / Scrum: Experience working in a Scrum team with iterative delivery cycles

Technical Knowledge Areas

• Go Fundamentals: Goroutines, channels, concurrency patterns, performance profiling and memory management
• Microservices Patterns: Service decomposition, inter-service communication, API versioning, and distributed system design
• Database Engineering: Schema design, indexing strategies, query optimization, and data modelling
• Messaging Systems: Event-driven architecture, pub/sub patterns, and asynchronous communication
• Security: API authentication, secrets management, and data encryption
• Performance Engineering: Profiling, benchmarking, caching strategies, and latency optimization

Technical Stack

• Cloud Platform: AWS
• Language: Go
• Frameworks: Gin, gRPC, Protocol Buffers (Protobuf)
• Databases: DynamoDB, RDS (PostgreSQL/MySQL)
• Containerization: Docker
• Version Control: Git

Nice-to-Have

• AWS certifications (Developer Associate)
• Automotive domain knowledge.
• Android Knowledge