Lambda Developer (Full Stack)

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 Lambdabased 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-engineeringfocused 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-engineeringfocused 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.