Staff Software Engineer - (Identity & Data Engineering Focus)

Overview

Build scalable, secure AWS cloud applications as a Staff Cloud Developer, with a focus on backend and frontend development, data engineering, API integrations, and identity workflows using AWS serverless technologies.

What you'll do

• Develop, test, and deploy AWS Lambda functions primarily in Python supporting serverless, event-driven data engineering workflows and authentication processes.
• Build and maintain RESTful and GraphQL APIs using AWS API Gateway and related services.
• Customize AWS Cognito user pools via Lambda triggers to implement authentication workflows, MFA, and token management.
• Develop responsive frontends using React.js or comparable frameworks for onboarding, authentication, and data presentation.
• Implement scalable data engineering pipelines for ingestion and processing by integrating external APIs, webhooks, and event streams.
• Collaborate with architecture and DevOps teams to develop and maintain Infrastructure as Code using Terraform and CloudFormation.
• Write secure, reusable IaC code provisioning backend cloud resources such as Lambda, API Gateway, Cognito, databases, caches, and queues.
• Participate in CI/CD pipeline configuration to automate infrastructure and application deployments.
• Ensure code meets security best practices including encryption, PII protection, and audit logging.
• Integrate cloud contact center services such as Amazon Connect with backend systems for customer engagement.
• Participate actively in Agile development processes, including code reviews and sprint planning.
• Troubleshoot, debug, and optimize applications for performance and availability.

What you'll need

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 8+ years development experience, with 3+ years focused on AWS serverless and data engineering environments.
• Strong proficiency in Python for backend Lambda functions.
• Solid expertise in JavaScript (Node.js backend, React frontend).
• Hands-on experience with AWS API Gateway, Lambda, Cognito, DynamoDB, RDS, SQS, EventBridge, and S3.
• Experience customizing Cognito flows with Lambda triggers (pre-signup, authentication, MFA).
• Familiarity with building and maintaining data engineering pipelines for ingestion, normalization, and enrichment via APIs and webhooks.
• Practical experience writing and managing Infrastructure as Code using Terraform and/or CloudFormation.
• Experience integrating IaC with CI/CD pipelines.
• Strong knowledge of cloud security, encryption, and compliance best practices.
• Excellent problem-solving skills and ability to work collaboratively.

Nice to have

• Experience integrating with cloud contact center platforms such as Amazon Connect.
• Familiarity with containerization (Docker) and orchestration (ECS, EKS).
• AWS Developer Associate or similar certification.
• Experience with Agile/Scrum and DevOps culture.
• Experience with AI tools or automation in customer support/service domains using AWS AI/ML tools like SageMaker, Comprehend, or Lex.
• Familiarity with Zendesk APIs and its ecosystem, including integrations with customer service platforms.

Details

• Location: Pune, India.
• Hiring is limited to candidates who are physically located and plan to work from Karnataka or Maharashtra.
• Hybrid role requiring attendance at the local office for part of the week; the specific in-office schedule is determined by the hiring manager.