Senior Engineer - Kubernetes
Datum
| Company | Datum |
| Category | Engineering |
| Location | Remote (US) |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 22 Jan 2026 |
| Last verified | 2 Aug 2026 |
| Source | Employer career page (ashby) |
Description
Datum’s mission is to help 1k clouds thrive https://www.datum.net/blog/helping-1k-clouds-thrive/ in the AI era by unlocking internet superpowers for every builder https://www.datum.net/blog/internet-superpowers-for-every-builder/. We’re working in the open to bring the foundational capabilities that all the big guys use (private networking, peering, direct interconnection, etc) into the hands of builders and modern “alt clouds” — no network team required.
One of Datum’s core values is to be connectors: of applications, services, networks, and people. As such, this role (just like all roles at Datum) will work directly with users, customers, partners, and the broader community.
Another key value is to be open by default, from how we license our code https://github.com/datum-cloud/datum (AGPLv3) to how we communicate, engage with, and document our work. We believe this engenders trust from our customers and community, but also because open is the best way to build. It's more secure, more operable, and even more enjoyable.
Still interested? Read on!
THE ROLE
We're seeking a Senior+ Engineer to build and run critical components of the Datum Cloud control plane. This is a senior technical leadership role focused on designing and building features woven into our open source business operating system, Milo https://www.milo-os.com/, a toolkit for modern AI-forward alt-clouds.
You'll work extensively with distributed systems, vendor APIs, networking protocols, software-defined networking, and cloud-native infrastructure while solving complex orchestration challenges across multiple cloud providers and edge locations. This role requires deep Kubernetes expertise, hardened by production operation, combined with a passion for open-source development and building systems that other engineers love to use.
WHAT YOU'LL DO
Control Plane Infrastructure & Architecture
- Design, implement, and run Datum's core orchestration stack
- Build customer-facing solutions to help our alt-cloud ecosystem thrive
- Scale the management, monitoring, and metering of our edge locations
- Partner with leadership to advance projects with key customers, partners, and suppliers
Distributed Systems & Performance
- Design distributed solutions that scale from startup to hyperscale usage patterns
- Implement intelligent traffic routing, load balancing, and failover
- Build observability, monitoring, and diagnostic tools for complex environments
- Optimize control plane performance for AI workloads and high-bandwidth applications with our network team
Open Source Leadership
- Drive technical networking decisions in collaboration with our open-source community
- Review and mentor contributions from external developers on networking components
- Maintain high code quality standards and documentation for network APIs
- Represent Datum at conferences and in technical working groups
Cloud-Native & AI Integration
- Design networking solutions that integrate seamlessly with Kubernetes and AI patterns
- Build network policies and security frameworks for multi-tenant cloud environments
- Implement service mesh integration and east-west traffic optimization
- Ensure compatibility with major cloud provider networking services (AWS, GCP, Azure)
ABOUT YOU
Distributed Systems
- 6+ years of large-scale production systems running Kubernetes with security as a first principle
- Strong experience with Kubernetes patterns and APIs, having written custom resources, controllers, and preferably exposure to kubebuilder
- Strong experience with distributed systems design, security, auth, consensus algorithms, async reconciliation, and fault tolerance
- Experience modeling data in Kubernetes, or transferable knowledge from RDBMS, GraphQL, information retrieval
Cloud & Infrastructure Experience
- Extensive experience with multi-cloud networking and hybrid cloud connectivity
- Deep knowledge of Kubernetes networking, CNI