Location: USA – Dallas, Texas
Experience: 10- 15 years

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

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, 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.
  • 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