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We are seeking a Lead AWS DevOps Engineer to spearhead the creation, development, and refinement of scalable cloud solutions using AWS technologies.
This role concentrates on modernizing legacy monolith systems, enhancing cloud infrastructure, and ensuring high-performance deployment pipelines. Working in conjunction with cross-functional teams, you will implement microservices architecture, improve automation, and direct cloud-native development in line with AWS best practices.
Responsibilities
- Spearhead the microservices architecture design and development based on the strangler fig tree approach to replace legacy monolith systems incrementally
- Design, implement, and upkeep Java-based scalable, high-performance solutions supporting transformation and migration activities
- Engage with cross-functional teams to develop high-quality solutions in adherence with AWS best practices for cloud-native applications
- Provide expertise in technical leadership, mentoring, and code reviews aimed at efficient, reusable, and maintainable code emphasizing performance optimization and fault tolerance
- Supervise unit tests, integration tests, and strategies for deploying to maintain superior implementations
- Collaborate intensively with database engineers and DevOps teams to fortify robust CI/CD deployment pipelines for microservices
- Track system performance, resolve issues, and apply preemptive enhancements
- Establish best practices for cloud security, IAM policies, and encryption models
Requirements
- 5+ years of background in software development, focusing on microservices and cloud transformation
- Leadership experience demonstrated in cloud-native application development and DevOps techniques
- Proficiency in Java programming and microservices architecture
- Hands-on familiarity with AWS tools including DynamoDB, Lambda, and S3
- Background in designing and implementing ETL processes and CDC pipelines
- Deep understanding of the strangler fig tree pattern for modernizing legacy systems
- Substantial knowledge in designing and managing CI/CD pipelines
- Expertise in infrastructure automation utilizing AWS CloudFormation or Terraform
- Competency with containerization and orchestration tools such as Docker, Kubernetes, and ECS
- Knowledge of cloud security best practices, IAM, and encryption models
- B2+ English level
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