AWS Lead Engineer
Listed on 2026-08-05
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Software Development
AWS
Job Title
Experience with the core AWS services including Compute Solutions, Container Services, Serverless services, Data pipeline, Database services etc
Excellent programming skills in Java Spring Boot and Python or Node
Experience in developing Restful & GraphQL APIs
Good experience with Docker and Kubernetes. Having used ECS and EKS, in the past projects
Sound experience in AWS Lake formations, AWS Glue or ELT and ETL tools and frameworks like DBT, Airbyte
Strong notions of security best practices (e.g., using IAM Roles, KMS, etc.)
Experience with monitoring solutions such as Datadog, Cloud Watch, Prometheus, and the ELK stack
Strong understanding of engineering processes and developer experience tools (Gitbub, Jira, Jenkins, Sonar Qube etc.)
Well versed in Git Ops and sound experiencing in implementing CI/CD pipeline
Previous exposure to Engineering Analytics and tools like LinearB, Jelly Fish, Cortex is desirable
Understanding of productivity efficiency metrices like DORA, SPACE is a plus
Ability to troubleshoot distributed systems
Knowledge of writing infrastructure as code (IAC) using Terraform and Terragrunt
Experience with building or maintaining cloud-native applications
Past experience with the serverless approaches and Serverless Application Model (AWS SAM) using AWS Lambda is a plus
This Developer will be the go-to person for difficult development problems, Java/Node or Python and AWS design, code standards, code reviews, etc.
Leverage industry best practices to design, test, implement and support a solution
Analyze highly complex business requirements; generate technical specifications to design or redesign complex software components and applications
Lead technical team and own and maintain product backlog and Jira stories
Implement data pipeline to gather business-specific metrics around consumer usage patterns
Development of microservices and data pipeline
Procurement and implementation of AWS infrastructure using IAC concepts
Building reusable components, blueprints, infrastructure scaffoldings, blueprints for architecture patterns, upgrades/migrations etc.
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