Join Valarian as a Solutions Engineer to integrate and deploy secure Kubernetes platforms in diverse customer environments.
Posted by employer 4 days ago
First seen on Joblaze 3 days ago
Last verified on the company career page 1 day ago
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In the role of Solutions Engineer at Valarian, the individual will focus on deploying and integrating the ACRA platform into various customer environments, ensuring that it meets specific operational needs. Proficiency in Go for backend services, along with experience in Kubernetes and React for frontend components, is essential for success in this position. This role is well-suited for someone with a strong technical background who can navigate complex client requirements and collaborate effectively across teams. Valarian emphasizes a mission-driven approach, fostering a collaborative environment among high-performing teams.
Quick facts
- Is the Solutions Engineer role remote?
- No — this is an on-site role in London.
- Where is the role based?
- Valarian is hiring for this position in London.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Go, Kubernetes, React.
- What seniority level is this role?
- Valarian targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Solutions Engineer role at Valarian.
From the original posting
Valarian Technologies is a dual-use technology company building critical tools to safeguard the future in an era of evolving global security challenges. We're rethinking security beyond traditional military domains, addressing asymmetric threats that impact our technological advantage, economic strength, and democratic institutions.
We build Acra – the platform foundation for everything we do as a dual-use technology company. The platform’s name, rooted in the Greek word for citadel (or, fortress), reflects the design and purpose of our infrastructure-agnostic secure enclaves: protecting critical data. Some of the government and commercial workflows include: increased operational resiliency for mission-critical systems and functions; enabling organisations to more quickly and widely adopt emerging technologies while ensuring the integrity of their intellectual property; information flow during disaster response scenarios, and zero-trust / least-privilege environments for M&A, attorney-client privileged communications, etc. And we’ve only scratched the surface.
At our core, we're driven by a shared mission and a belief in making a tangible impact on our world. Whether you join our London HQ or the wider global organisation, you’ll be a part of collaborative, high-performing teams, creating cutting-edge software, platforms, and infrastructure.
The Role
As a Solutions Engineer, you will deploy, extend, and integrate our secure Kubernetes platform (ACRA) into real-world workflows. You aren't just writing backend services in Go—you are partnering directly with end-users to understand their operational constraints, adapting our containerized workloads to their infrastructure, and feeding crucial feedback back into the core platform team.
You will write production Go, build React frontend components, configure microservices, and orchestrate Kubernetes workloads while collaborating across frontend, core backend, infrastructure, and AI teams to deliver client outcomes.
What you’ll do:
Deploy & Integrate: Build backend microservices, APIs, and Custom Resource Definitions (CRDs) in Go to integrate ACRA into diverse customer environments (isolated enclaves, edge clusters, hybrid cloud).
Bridge Product & Customer: Translate ambiguous client security requirements and user workflows into practical technical implementations without waiting for detailed specs.
Kubernetes Application Development: Develop containerized applications, Helm charts, and event-driven microservices running seamlessly on customer K8s platforms.
Collaborate with Specialists: Partner with embedded DevOps/Infra specialists (for base cluster provisioning) and ML/AI engineers (for model harness integration), keeping client value at the center.
Close the Feedback Loop: Identify recurring integration patterns and work with core engineering to turn custom client fixes into standardized platform features.
What we are looking for: