Lead Infrastructure Engineer

Infrastructure & Kubernetes

Scope and lead large, often ambiguous technical projects, laying the groundwork for early-stage products to iteratively evolve and scale

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

Must-Have

• 8-12 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

Nice-to-Have

• Cross-region architecture experience (multi-region failover, DR, data replication)

• Cross-tenant / multi-tenant architecture expertise

• Experience with Apache Iceberg, AWS Glue, or other lakehouse catalogs

• Experience with EKS, Porter, or similar Kubernetes management platforms

• Familiarity with modern data stack tooling: dbt, Snowflake, CDC tools (Debezium, Estuary, etc.)

• Experience in fintech or other regulated environments (PCI DSS, SOC 2)

Why You Should Join

• 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