The company is looking to solve the problem of improving deployment efficiency and reliability, and promoting DevOps best practices across the organization.
Requirements
- Experience working with generative AI
- Strong experience with CI/CD tools and methodologies (GitLab CI, Jenkins, TeamCity)
- Advanced knowledge of containerization technologies (Docker, Kubernetes, Helm)
- Extensive experience with Infrastructure as Code (Terraform, CloudFormation, CDK)
- Strong scripting skills (Bash, Python, PowerShell)
- Experience with cloud platforms, particularly AWS and its managed services
- Experience with monitoring and logging solutions (ELK stack, Prometheus, Grafana)
Responsibilities
- Design and implement robust CI/CD pipelines for microservices integration and delivery
- Optimize DevOps processes to improve deployment efficiency and reliability
- Develop and maintain automation scripts for build, test, and deployment processes
- Lead integration efforts between various product components and services
- Implement and maintain infrastructure as code using Terraform and GitLab pipelines
- Orchestrate and optimize container deployments using Docker, Kubernetes, and Helm
- Implement and maintain logging and monitoring solutions through an ELK-like stack (FluentD, Opensearch, Kibana)
Other
- At least 8-10 years of experience in DevOps, Integration Engineering, or similar roles
- Excellent communication and collaboration abilities
- Strong troubleshooting and problem-solving skills
- Experience working in multi-tenant, distributed architectures
- Experience working alongside other engineers to effectively strategize and implement capabilities
