DevOps

Campbell Scientific, Inc.; Shepshed; On-site; GBP 70,000 - 100,000; Full time

Job summary

Campbell Scientific, Inc. in the United Kingdom is seeking a DevOps/Platform Engineer to build and run the internal platform used by product teams across public cloud, Kubernetes, and on‑prem environments.

You will treat the platform as a product, delivering self-service templates and pipelines that let developers ship software securely and quickly while maintaining strong observability and security. The role covers IaC, AI-assisted tooling, and platform enablement, with collaboration across

Qualifications

• Several years of experience in platform engineering, SRE, or DevOps with production responsibility for Kubernetes.
• Hands-on experience with GitOps (Argo CD), Helm, and CI/CD platforms such as GitLab CI, GitHub Actions, or Jenkins.
• Strong infrastructure-as-code skills with Terraform plus configuration management with Ansible or similar.
• Experience with major cloud providers (AWS preferred; Azure or GCP considered) and IAM, networking, and managed Kubernetes.
• Experience with eBPF networking/security, service meshes, or multi-cluster management.
• Programming/scripting in Go, Python, or Bash for automation and Kubernetes operators.
• Networking/security fundamentals and secret management (Vault, AWS Secrets Manager, External Secrets).
• Observability and alerting, preferably with OpenTelemetry.

Responsibilities

• Platform as a product: build self-service templates and pipelines for easy deployment.
• Design and operate declarative delivery with GitOps and automated rollback.
• Provision and manage cloud and on-prem infrastructure with Terraform, Ansible, and Kubernetes tools.
• Run production Kubernetes clusters across cloud and on‑premises, with upgrades and autoscaling.
• Maintain Docker Swarm environments and migrations as needed; ensure security and observability.
• Build observability using OpenTelemetry, Prometheus, Loki, and Grafana; define SLOs and error budgets.
• Embed security by default: least privilege, secrets management, and SBOMs; support AI-assisted tooling.
• Own resilience and disaster-recovery procedures; ensure cost visibility and FinOps discipline.
• Keep development environments fast and reproducible with dev containers, Tilt, and similar tooling.
• Collaborate across development, security, and operations; enable teams to ship software safely.

Skills

Platform engineering

Site reliability engineering

DevOps

GitOps

CI/CD

Tools

Argo CD

Helm

Terraform

Ansible

Kubernetes

OpenShift

Docker Swarm

Crossplane

Cluster API

GitLab CI

GitHub Actions

Jenkins

Job description

DevOps / Platform Engineer

Join Campbell Scientific

At Campbell Scientific, we develop innovative measurement and monitoring solutions that help people understand and protect the world around us. From climate and environmental monitoring to renewable energy, infrastructure and scientific research, our technology supports organisations around the world in making better, data-driven decisions.

We are looking for an experienced Platform Engineer to join our team in the UK and play a key role in building and evolving the technology platform that enables our software teams to deliver secure, reliable and high-quality solutions. This is an exciting opportunity to work across cloud, Kubernetes, automation, DevOps and emerging AI technologies within a global technology-focused organisation.

Job Summary

We are seeking a Dev Ops Platform Engineer to build and run the internal platform our product teams use to ship software safely and quickly, across public cloud and on-premises Kubernetes and Docker Swarm environments.

You will treat the platform as a product: its users are our developers, and success is measured by how easily they can build, deploy, observe, and operate their services without needing to become infrastructure experts.

The role spans GitOps delivery, infrastructure as code, Kubernetes operations, observability, and software supply-chain security. You will work closely with development, security, and operations teams, and help us use AI-assisted engineering tools responsibly within our platform workflows.

Key Responsibilities

• Platform as a product: Build and maintain self-service “golden paths” (templates, reusable pipelines, and documented defaults) so teams can create, deploy, and operate services with minimal hand-offs. Gather developer feedback and track platform adoption and developer-experience metrics.
• GitOps delivery: Design and operate declarative delivery using tools such as Argo CD and Helm, with progressive delivery (canary, blue/green) and automated rollback where appropriate. This includes providing solutions and documentation for consultants to manage air-gapped or isolated systems not directly managed by the DevOps team. This also includes creating immutable deliverables so that a release is completely defined and reproducible.
• Infrastructure as code: Provision and manage cloud and on-premises infrastructure with Terraform, Ansible, and Kubernetes-native tools such as Crossplane or Cluster API. Keep environments reproducible, reviewed, and drift-free.
• Kubernetes operations: Run production Kubernetes clusters in the cloud (e.g., Amazon EKS, K3s and OpenShift) and on bare metal, including upgrades, capacity planning, autoscaling, storage, networking, and the lifecycle of platform operators (databases, message brokers, certificates).
• Docker Swarm orchestration: There are still some systems, including development environments built on Docker Compose/Docker Swarm functionality. These will need to be maintained and improved as work is done to migrate functionality into the standard platform. In some cases, Portainer is included in these environments.
• Observability and reliability: Build observability on OpenTelemetry with metrics, logs, and traces (e.g., Prometheus/Mimir, Loki, Tempo, Grafana). Define SLOs and error budgets with service owners, run alerting and on-call, and lead blameless post-incident reviews.
• Security and supply chain: Embed security into the platform by default: least-privilege and workload identity, secrets management, policy as code (e.g., Kyverno or OPA Gatekeeper), image signing and SBOMs (e.g., Sigstore/cosign), vulnerability scanning, and alignment with SLSA and the NIST Secure Software Development Framework.
• Resilience and recovery: Design for high availability across zones and sites. Own backup, restore, and disaster-recovery procedures, and test them regularly.
• Cost awareness (FinOps): Give teams visibility into what their workloads cost, right-size resources, and make cost a factor in platform design decisions.
• Developer environments: Maintain fast, reproducible local and ephemeral environments (e.g., Kind, Tilt, dev containers, or Nix) that match production closely.
• AI-assisted engineering: Evaluate and integrate AI coding and operations assistants into platform workflows with appropriate guardrails, such as read-only production access, human approval for changes, and auditability.
• Documentation and enablement: Keep architecture decision records, runbooks, and platform documentation current, and help teams adopt new platform capabilities.
• Issue and manage customer licenses: Help implement, manage and maintain existing and new licensing systems to ensure customers have access to correct functionality and dependent software packages.

Required Qualifications

• Several years of experience in platform engineering, site reliability engineering, or DevOps, including production responsibility for Kubernetes and familiarity with K3s, Docker Swarm and OpenShift.
• Hands-on experience with GitOps (Argo CD), Helm, and CI/CD platforms such as GitLab CI, GitHub Actions, Bitbucket pipelines or Jenkins.
• Strong infrastructure-as-code skills with Terraform plus configuration management with Ansible or similar.
• Solid experience with at least one major cloud provider (AWS preferred; Azure or GCP considered), including identity and access management, networking, and managed Kubernetes.
• Experience with eBPF-based networking and security (e.g., Cilium), service meshes, or multi-cluster management.
• Experience running workloads on-premises or on bare metal, including hardware lifecycle, persistent storage, and network integration.
• Experience restoring systems from point-in-time restore points and recovery from failure states (e.g. loss of storage quorum).
• Programming and scripting ability in Go, Python, or Bash for automation, tooling, and Kubernetes operators or controllers.
• Working knowledge of networking and security fundamentals: DNS, TLS and certificate management, load balancing and ingress (including the Kubernetes Gateway API), firewalls, and zero-trust principles.
• Experience with secrets management such as HashiCorp Vault/OpenBao, AWS Secrets Manager, or External Secrets Operator.
• Experience building observability and alerting that teams actually use, preferably with OpenTelemetry

Preferred Qualifications

• Experience building an internal developer platform or developer portal (e.g., Backstage).
• Experience operating stateful and messaging workloads on Kubernetes, such as PostgreSQL/TimescaleDB operators, NATS, or MQTT brokers.
• Familiarity with compliance frameworks such as SOC 2, ISO/IEC 27001:2022, or FedRAMP, and with emerging product-security requirements such as the EU Cyber Resilience Act.
• Experience with IoT or data-intensive platforms.
• Relevant certifications (e.g., CKA, CKS, AWS Certified DevOps Engineer) are a plus but not required.

Key Competencies

• Product mindset: Treats developers as customers and makes decisions based on their feedback and measurable outcomes.
• Automation and simplicity: Automates repeatable work, and prefers clear, well-documented solutions over clever ones.
• Reliability ownership: Stays calm during incidents, communicates clearly, and follows through on fixing root causes.
• Security by default: Makes the secure path an easy path rather than an extra step.
• Collaboration: Communicates clearly in writing and in person across development, security, and operations teams.
• Continuous learning: Evaluates new tools, including AI-assisted ones, with healthy skepticism and adopts them when they add real value.

Why Work for Campbell Scientific?

At Campbell Scientific, you will have the opportunity to work for a company whose technology has a genuine impact on the world. Our instruments and software are used across scientific research, environmental monitoring, climate, renewable energy, infrastructure and many other applications where accurate data matters.

You will join a collaborative, technically focused organisation where innovation, continuous learning and sharing expertise are encouraged. As part of our UK team, you will have the opportunity to work with colleagues and technology teams internationally, giving you exposure to a wide range of projects, technologies and challenges.

We believe in giving our people the opportunity to develop their skills, take ownership of their work and make a meaningful contribution. Whether you are passionate about cloud technology, Kubernetes, automation, cybersecurity, software engineering or the opportunities presented by AI, Campbell Scientific provides an environment where you can develop your expertise while working on technology that makes a difference.

Make an impact with us