AWS Lead Engineer

Job Title

Qualifications/Experience Degree in Computer Science or related technical discipline or the equivalent combination of education technical certifications and work experience.

Working conditions US CET business hours

• 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 Duties and responsibilities

• 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.