26 Mar
California,
Sanjose
, 95101
Sanjose
USA
Vacancy expired!
AWS, Kubernetes, Kafka - 100% RemoteThis Jobot Job is hosted by: Heather BurnachAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $170,000 - $215,000 per yearA bit about us:We are a small company that offers a creator platform for digital natives. We operate in the retail and consumer good industries and our app allows users to rapidly create hyperreal videos, starring their digital dubble™- a lifelike virtualized version of themselves wearing digital fashion. Our engineering department works remotely and looking to grow rapidly!Why join us?Medical insuranceVision insuranceDental insurance401(k)Paid maternity leaveJob DetailsThe DevOps team is rapidly growing and we are looking for an experience Sr DevOps Engineer to join the team! The candidate would be responsible for our CI/CD pipeline, Cloud Native Infrastructure (as Code), Developer Tooling and Developer Enablement. We develop the paved path, which makes service integration and deployment easier. Developers can use this infrastructure to own and integrate their services. The team defines and supports various deployment models (Blue-Green, Canary, Rolling) as well as release orchestration and automation gates (image scanning, dependency checks, testing, production readiness, SDLC best practices and policies). Our applications are currently running on Amazon EC2, Container Service (ECS) and Kubernetes Service (EKS).RequirementsDevelop reusable tools, frameworks, processes, and automation around build/deploy/test workflows that help engineers set up, implement, and deliver their services as quickly and easily as possible.Codify software development life cycle (build, deploy, test, refactor, release with no downtime) that enable high-quality release in all environments.Own our developer experience by working with engineering teams to identify and resolve areas of developer friction.Enable our studio teams by providing on demand rendering farms and other ML/AI infrastructure.Drive adoption of best practices in code health, testing, and maintainability.Enable "paved paths" for self service infrastructure deployment.Automate integrations with engineering systems such as Github, Unreal Engine, PerforceWhat you'll need:Bachelor's degree in Computer Science or equivalent practical experience.Experience with containerized CI/CD pipelines and creating reproducible builds from development to production.Proficiency in the following programming languages would be preferred: Golang, Python, Terraform, BashExperience with K8S and CI/CD tools, including the benefits and challenges.Experience with Kafka as this next hire will need to have a good understandingInterested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Vacancy expired!
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