Own and operate our Kubernetes (EKS) infrastructure, managed via the Porter orchestrator
Apply and enforce Kubernetes best practices: resource management, health checks, autoscaling, pod disruption budgets, and graceful rollout strategies
Tune deployments and cluster configuration for zero-downtime releases and high availability
Design and improve CI/CD pipelines for fast, reliable, and safe delivery
Contribute to observability, alerting, and incident response practices across the platform
Help drive our data infrastructure revamp, adopting Apache Iceberg as the core data layer (catalog, table management, multi-engine access)
Own the data modeling layer end to end — from source ingestion through transformation to consumption-ready models
Collaborate cross-functionally with BizOps and other teams to understand data needs and translate them into well-designed, reliable data models
Tune queries for efficiency — optimize query performance, partitioning strategies, and table layouts across our analytics stack
Build and maintain ingestion and CDC pipelines feeding the lakehouse
Requirements
2-4 years Deep expertise in Kubernetes — production operations, best practices, and performance tuning for zero-downtime architectures
Strong CI/CD experience — designing, building, and maintaining pipelines at scale
Demonstrated hunger to learn modern data engineering — lakehouse architectures, Iceberg, CDC, transformation frameworks (e.g., dbt or coalesce.io or others)
Strong SQL skills and the ability to optimize queries for performance and cost
Excellent cross-functional collaboration skills — comfortable working directly with BizOps and other non-engineering stakeholders
Ownership mindset — able to take systems from design through operation end to end
Tech Stack
Apache
Kubernetes
SQL
Benefits
Shape a greenfield data platform built on modern lakehouse foundations
Real ownership across infrastructure and data — small team, high impact
Work at the intersection of platform engineering and data engineering, two of the fastest-growing disciplines in the industry