A dynamic cloud cost optimization partner that blends the power of group buying, smart commitment management, and expert consulting with advanced analytics—empowering businesses to unlock maximum value from AWS, Azure, and Google Cloud while significantly reducing costs.

Technical Leadership: -

Serve as Kubernetes's principal architect and most senior hands-on engineer.

Set architectural standards and code quality bars; mentor engineers through technical

pairing and design reviews.

Drive technical roadmap and architecture decisions in partnership with Product

Management

Hands-On Engineering: -

Write production Go code for Kubernetes's core systems: agent data collection, metrics processing, cost allocation engine

Design and implement custom Kubernetes controllers and operators

Build and optimize the Click House time-series data model for cost metrics at scale

Implement gRPC streaming with backpressure, circuit breakers, and mTLS between

agent and datastore

Develop Karpenter-based node optimization policies and consolidation algorithms

Performance-tune the metrics pipeline: 10-second scrape intervals, 1-minute rollups,

multi-cluster aggregation

Technical Strategy: -

Design the agent data collection layer — hybrid metrics collection via Metrics API,

Kubelet Summary, Kubelet Proxy, and optional Prometheus endpoints

Architect the ClickHouse time-series schema with materialized views for multi-resolution

aggregation (5m, 1h, 1d)

Build the delta processing pipeline — in-memory state comparison with ring buffers

(discovery 10K, metrics 50K, events 100K)

Design cost allocation algorithms for shared resources — control plane, networking,

system namespaces, idle capacity

Architect multi-cloud Kubernetes support (EKS primary, AKS/GKE Phase 4) with

provider-specific pricing API integrations

Experience: -

10+ years in systems/platform/infrastructure engineering with deep hands-on Kubernetes

production experience (EKS, AKS, or GKE)

Track record of personally designing and implementing complex distributed systems —

not just overseeing teams that build them

Experience building Kubernetes tooling: operators, controllers, CLI tools, or platform

products

Prior work on cost/resource optimization, observability, or infrastructure intelligence

platforms preferred

Experience with container orchestration at scale — multi-cluster, multi-cloud preferred

Technical Depth: -

Expert-level: Kubernetes internals (scheduler, controller-manager, kubelet, API server),

resource management, pod lifecycle

Hands-on: Custom controller/operator development using controller-runtime or client-go

Production experience with Karpenter, OpenCost, or equivalent node/cost optimization

tools

Strong Go proficiency; experience with gRPC, Protocol Buffers

ClickHouse or similar OLAP/time-series database experience for high-throughput metrics

eBPF, CNI, or CSI plugin development experience is a strong plus

Leadership: -

Ability to operate in a "founding engineer" mode — small team, high ownership, rapid

shipping

Track record of setting technical direction and architectural standards that scale beyond

your own code

Comfortable wearing multiple hats: architecture, implementation, code review,

technical documentation, product input

Influence through technical excellence, design documents, and working code — not

through organizational authority

Strong communicator who can influence across functions and levels

• Greenfield Build: Build a Kubernetes FinOps product from the ground up within a

revenue-generating company — startup speed with enterprise stability

• Directly working with leadership
• Competitive salary range