Position: Senior DevOps Engineer
Company: Adaptiq
Experience required: 3y
Category: DevOps
English level: upper
Published: 2022-09-01T00:00:00+03:00

We believe in innovation, so our vision is to build a tier-1 cloud operation that is fully automated and cloud agnostic. Our architecture is K8S based, so we need to have a strong execution of environment management, scalability, resiliency, redundancy and security. As a leader your role will be to envision the architecture, and also be a major contributor building it. 
 
**Responsibilities**
- Build our Infrastructure and BigData DevOps roadmap. Research and implement new/best DevOps practices and processes including automation, - CI/CD and service discovery
- Technically lead a team of DevOps engineer experts running our cloud infrastructure
- Implement tools and procedures in support of Production environments, - - - Deployment and CI/CD infrastructure
- Work with developers, SRE and automation engineers to architect solutions that increase efficiency, scale and reliability across SQream architecture
- Maintain multiple, consistent environments (Development, Test, Production QA and Production)
- Enforce security principles and practices as needed
 
**Requirements**
- 3+ years’ experience as DevOps Engineer/ Tech Lead
- Strong expertise with AWS and/or GCP. Experience with other cloud technologies is a plus
- Experience working with Cloud Production environments
- Strong experience with containerized environments and microservices (K8S / ECS)
- Strong experience with CI/CD tools & implementations
- Experience with logging and monitoring technologies and services
- Strong experience with IaC (Infrastructure as a Code) tools such as Terraform
- Experience with programming and scripting languages (Python, Bash)
- A state of mind and approach to automate away from manual efforts
- A strong sense of ownership and accountability
- A passion for technology, learning, and finding the best solution
- Advantage - Experience with NoSQL DBs (Redis / MongoDB)
- Advantage - Experience with ML / AI technologies - an advantage