The Impact You Will Drive:
- 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.
A Typical Day:
- 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
What You Bring to the Table:
- 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
Skills Required
- 5+ years of experience as a platform engineer
- Experience with managing Kubernetes clusters and applications
- Experience deploying applications on one or more cloud platforms
- Experience with infrastructure-as-code
- Experience with automation frameworks
- Experience with monitoring stacks
- Experience with cloud security management
- Great problem-solving skills
- Quick decision making
- Clear communication skills
- Experience with data processing technologies like Spark
What We Do
Onehouse delivers a universal data lakehouse through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running. Onehouse offers the widest interoperability for your data in the market across table formats, multiple compute engines and multiple cloud providers. We have a stellar team of inspired, seasoned professionals including data, distributed systems, and platform engineers from Uber, LinkedIn, Confluent, and Amazon. Our product team has helped build enterprise data products at major enterprises including Azure Databricks.







