Lambda Developer (Full Stack)

About the job

Job Title: Lambda Developer (Full Stack) Experience: 3 to 5 Years Location: Hyderabad Employment Type: Full-Time About the Role We are seeking a highly skilled Lambda Developer (Full Stack) with strong expertise in serverless architectures on AWS. The ideal candidate will have hands-on experience designing, building, and optimizing AWS Lambda–based applications, integrating them with API Gateway, AppSync/GraphQL, and other AWS services. In this role, you will develop scalable, event-driven, and high-performance serverless solutions, while collaborating with cross-functional teams to deliver secure, reliable, and efficient cloud-native applications. Exposure to ML or data-engineering–focused Lambda pipelines is a strong plus. Key Responsibilities Serverless Application Development • Design, develop, and maintain serverless applications using AWS Lambda. • Implement and manage Lambda triggers (API Gateway, EventBridge, S3, DynamoDB Streams, Step Functions, etc.). • Build scalable backend services using Python and/or Node.js. API & Integration Layer • Design and implement RESTful APIs using Amazon API Gateway. • Develop and manage GraphQL APIs using AWS AppSync. • Integrate Lambda functions with internal and external systems. Workflow Orchestration • Design and implement complex workflows using AWS Step Functions. • Handle retries, error handling, and compensation logic for distributed systems. Security, Monitoring & Reliability • Implement secure access controls using AWS IAM, following least-privilege principles. • Configure CloudWatch logs, metrics, alarms, and tracing for observability. • Implement robust error handling, retries, and dead-letter queues (DLQs). Performance & Optimization • Perform advanced performance tuning for Lambda functions, including memory, timeout, and concurrency optimization. • Optimize cold start performance and cost efficiency. • Troubleshoot and resolve performance bottlenecks and production issues. Data & ML Pipelines (Plus) • Build Lambda-based data processing pipelines for analytics or ML workflows. • Integrate with data stores, streaming platforms, and ML services. Collaboration & SDLC • Collaborate with frontend, backend, DevOps, and product teams. • Participate in code reviews, design discussions, and Agile ceremonies. • Contribute to CI/CD pipelines and infrastructure-as-code practices. Required Skills & Qualifications Core Technical Skills • 3 to 5 years of professional software development experience. • Strong hands-on programming experience with Python and/or Node.js. • Deep expertise in AWS Lambda triggers, execution models, and event processing. • Strong experience with Amazon API Gateway (REST and HTTP APIs). • Solid understanding of serverless architecture principles and best practices. AWS Services & Tooling • Hands-on experience with: • IAM (roles, policies, security best practices) • CloudWatch (logs, metrics, alarms, tracing) • Step Functions (standard and express workflows) • AppSync / GraphQL • Good understanding of additional AWS services (S3, DynamoDB, SQS, SNS, EventBridge, etc.). Performance & Reliability • Experience with advanced performance tuning and troubleshooting Lambda workloads. • Strong error-handling, retry, and resiliency design skills. Nice-to-Have / Preferred Skills • Experience building ML or data-engineering–focused Lambda pipelines. • Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, CDK). • Experience with event-driven and streaming architectures. • Knowledge of CI/CD tools and DevOps automation. Soft Skills • Strong problem-solving and analytical skills. • Excellent communication and collaboration abilities. • Ability to work independently and take ownership of deliverables. • Comfortable working in fast-paced, cloud-native environments.

Requirements

• AWS Lambda
• Python
• Node.js
• API Gateway
• GraphQL

Preferred Technologies

• AWS Lambda
• Python
• Node.js
• API Gateway
• GraphQL