Imagine a future where complex infrastructure - from Kubernetes to GPU clusters - is fully observable, predictable, and continuously improving.

At Verda, we’re building a fully featured European cloud computing platform—and observability is at the core of making that platform reliable at scale. From distributed systems to AI workloads, we’re designing visibility into every layer of the stack.

We’re ambitious, curious, and pragmatic builders. We operate with low hierarchy, high ownership, and a strong bias for action. We’ve already achieved a lot, but we’re just getting started.

Now it’s your chance to join the ride. Join Verda while it’s still being built - not once it’s finished!

Your responsibilities

In this role, you will contribute to the architecture and evolution of our observability platform across a diverse and high-performance environment - spanning Kubernetes, bare metal, virtual machines, GPU clusters, and network infrastructure.

You will help translate architectural decisions into practical implementations, ensuring adoption across teams and systems. A core part of your work will involve operating and improving a unified observability stack built on Grafana and the VictoriaMetrics ecosystem, while advancing proactive and AI-assisted monitoring capabilities.

You will implement observability for cloud-native applications and distributed systems, as well as support monitoring and optimization of AI/ML workloads and large-scale training runs. You will design dashboards, alerts, and workflows that improve system reliability, performance, and visibility across the platform.

You will also contribute to improving incident detection and response, participate in on-call rotations, and help define standards, telemetry pipelines, and best practices. Working closely with platform, infrastructure, network, and security teams, you will ensure observability is deeply integrated into how systems are designed and operated.

Your key competencies

• Strong hands-on experience with Grafana stack and modern observability tooling

• Experience with VictoriaMetrics/VictoriaLogs or similar high-scale metrics and logging systems

• Solid understanding of Kubernetes in production environments

• Experience monitoring cloud-native applications and distributed systems (e.g., Node.js, Go, APIs)

• Strong knowledge of OpenTelemetry, including instrumentation, traces, metrics, logs, and integration with observability backends

• Solid Linux and infrastructure fundamentals

• Experience with incident management and alerting systems (e.g., PagerDuty, Better Stack)

• Familiarity with GitOps and infrastructure automation practices

• Exposure to security observability (SecOps)

• Experience integrating AI into workflows (automation, LLMs, or agent-based systems)

• Ability to work across teams and drive adoption of observability practices

Nice to have

• Experience with observability for GPU/AI infrastructure or ML workloads

• Deeper experience in AIOps, LLMs, or agent-based observability systems

• Background in network observability at scale (e.g., NetFlow, SNMP)

• Experience working in hybrid environments (bare metal + VMs + Kubernetes)

• Hands-on experience with application instrumentation using OpenTelemetry, and ability to guide engineers in implementing telemetry effectively

Why Verda

Cash + equity compensation along with various fringe benefits (e.g., healthcare, lunch, wellbeing, etc.)

Profitable operations with rapid, sustained growth

31 nationalities, with 6 different ones on the management team

A chance to shape observability for cutting-edge infrastructure, including large-scale AI and GPU workloads

Practicalities

Location: Helsinki, Finland (on-site)

Level: Senior / Mid-Senior

Employment type: Full-time and permanent

What's next

We’re building fast and this role needs the right person behind it. There’s no artificial deadline, but when we find who we’re looking for, we move.

If this sounds like your next move, apply now.

Please submit your application through our Careers page. We don’t accept applications sent by email.