About Onehouse
Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML).
We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform!
The Community You Will Join
When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake. The Cloud Infrastructure team is the glue that binds all of this together. We enable our data platform and infrastructure teams to be successful by acting as the foundation of a truly cloud native product.
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 environmentsIterate on best practices to increase the product quality & velocity of deploymentsWork 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 platformHandling 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 detailsQuick decision making, self-driven and able to balance to feature development and tech debtClear communication skills
Nice to haves (but not required):Experience with data processing technologies like Spark
