Staff ML Infrastructure Engineer building and scaling robust Compute platforms for Simulation and data workflows at GM. Collaborating with engineers to drive efficiency and reliability in AI infrastructure.
About the role
- Kubernetes Infrastructure Engineer at Onehouse building world-class software on Kubernetes infrastructure. Collaborating across teams to revolutionize big data processing for multiple cloud environments.
Responsibilities
- As a Kubernetes Infrastructure Engineer at Onehouse, you will build a world class software development and deployment on Kubernetes infrastructure of a product on that is revolutionising the big data processing and AI workloads across multiple clouds, all at once.
- Be the go to person for all things Infra.
- Collaborating with your stakeholders in data platform, backend and frontend to achieve key deliverables
- Implement infrastructure-as-code for multiple environments
- Iterate on best practices to increase the product quality & velocity of deployments
- Work on improving automation for monitoring and oncall processes
- Support and work alongside a cross-functional engineering team on the latest technologies like Spark, Kubernetes, Prometheus, Kafka, Debezium etc.
- Manage security and access control for entire organization (IAM/SSO management)
- Uphold a high engineering bar around the code, monitoring, operations, automated testing, release management of the platform
- Handling of production alerts, incidents and writing good well-organized on-call runbooks, documentation and post-mortem reports
Requirements
- 5+ years of experience as a platform engineer with operational excellence in monitoring/deploying/testing microservice architectures.
- Experience with managing Kubernetes clusters and applications
- Experience deploying applications on one or more cloud platforms (AWS/GCP/Azure).
- Experience with infrastructure-as-code (e.g. Terraform, Cloudformation)
- Experience with automation frameworks (e.g. Jenkins, CircleCI)
- Experience with monitoring stacks (e.g. Prometheus and ELK)
- Experience with cloud security management (e.g. IAM, SSO)
- Great problem-solving skills, a keen eye for details
- Quick decision making, self-driven and able to balance to feature development and tech debt
- Clear communication skills
- Nice to haves (but not required):
- Experience with data processing technologies like Spark
Benefits
- Equity Compensation; our success is your success with eligible participation in our company equity plan
- Health & Well-being; we'll invest in your physical and mental well-being by reimbursing up to 20,000 INR for your monthly insurance premium
- Financial Future; we'll invest in your financial well-being by making this role eligible for the provident fund of which Onehouse will contribute up to 1800 INR/month
- Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business
- Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 17 paid company holidays
- Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks
- Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 (USD) stipend for your initial office/desk setup
- Child Bonding!; 26 weeks off for birthing and 12 weeks for surrogate and adoptive parents - fully paid so you can focus your energy on your newest addition
Job title
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Degree requirement
Tech skills
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