Job Description

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, CloudWatch, Prometheus, and the ELK stack
Strong understanding of engineering processes and developer experience tools (Gitbub, Jira, Jenkins, SonarQube etc.)
Well versed in GitOps and sound experiencing in implementing CI/CD pipeline
Previous exposure to Engineering Analytics and tools like LinearB, JellyFish, 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

Duties and responsibilities

This Developer will be the go-to person for difficult development problems, Java/Node or Python and AWS design, codestandards, 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.
Acts as an expert technical resource for modeling, simulation, and analysis efforts
Assures quality, security and compliance requirements are met for supported areas
Enhancing the team’s understanding of cloud platforms, IAC, CI/CD, API management platforms, design standards, patterns and best practices