Requirement:
- Proficiency in working with AI coding assistants (e.g., GitHub Copilot, Cursor) for code generation and problem-solving.
- Understanding of prompt engineering principles for optimal AI tool interaction.
- Ability to effectively collaborate with AI tools while maintaining code quality and adherence to best practices.
- Critical thinking to validate and verify AI-generated code and solutions.
- Adaptability and willingness to continuously learn and stay updated with the rapidly evolving AI landscape.
- Deep understanding of cloud computing technologies, deployment, costing, HA/DR, etc.
- Ability to coach delivery teams on DevOps principles (e.g., CI/CD, test automation, release automation) and engineering practices (e.g., TDD, BDD).
- Proficiency with public cloud platforms such as AWS and Azure. Strong exposure to container technologies (e.g., Docker, Kubernetes, AWS EKS, AKS).
- Hands-on experience with automation and infrastructure-as-code using tools like Terraform, AWS CloudFormation, SAM, ARM, and Bicep.
- Experience in developing and implementing processes for handling releases from development to operations, including rollback solutions.
- Hands-on experience in designing, developing, and migrating CI/CD pipelines (e.g., GitHub Actions, Azure DevOps Pipelines).
- Good understanding of microservice and event-driven architectures and DevSecOps practices for complex distributed systems.
- Proficiency in setting up and configuring monitoring tools (e.g., ELK, Prometheus, Grafana, Splunk) and security tools (SAST, DAST, etc.).
- Strong RDBMS and NoSQL skills in deploying and fine-tuning databases such as MySQL, Oracle, and Elasticsearch.
- 6-10 years of experience in platform automation, applying various DevOps principles.
If interested, share resume on manisha.hela@nityo.com
