Role Description We’re looking for a DevOps Engineer to join our fully-remote team and help architect, deploy, and operate mission-critical cloud platforms that support everything from financial services to healthcare and government systems. This is a hands-on role where you’ll be working at the intersection of automation, Kubernetes, GitOps, and sovereign cloud infrastructure — helping organisations transition from legacy systems to resilient, containerized environments built for performance, security, and data sovereignty. If you're passionate about CI/CD, infrastructure-as-code, and building scalable deployment workflows that actually make developers’ lives easier — you’ll feel right at home here. What You’ll Be Working On - Designing and maintaining automated deployment pipelines and cloud-native platforms running on fully sovereign infrastructure. - Supporting clients through: - Infrastructure migrations - Platform modernisation - High-availability cluster deployments - Secure containerised workloads - Observability and incident response - Working closely with development teams to streamline delivery pipelines and implement scalable deployment strategies across multi-tenant OpenShift platforms. Your Impact - Design, implement, and maintain CI/CD pipelines to streamline build and release processes. - Install, configure, and manage OpenShift clusters across staging and production environments. - Deploy and manage storage platforms including: - OpenShift Data Foundation (ODF) - Ceph - Optimise Kubernetes, Docker, and OpenShift environments for performance, availability, and security. - Automate infrastructure provisioning using: - Terraform - Ansible - FluxCD - Develop Helm charts and Kustomize configurations within a GitOps-driven deployment model. - Monitor system performance and troubleshoot production incidents. - Implement monitoring and logging solutions using: - Prometheus - ELK Stack - Deploy and manage security integrations: - TLS Certificates - Authentication via Keycloak - ISO-compliant security frameworks - Manage containerised database environments: - PostgreSQL - MySQL - Oversee network, storage, and data centre integrations. - Automate recurring infrastructure tasks and optimise platform workflows. - Support customers directly across planning, deployment, and operational phases. - Document systems and contribute to internal knowledge-sharing initiatives. Qualifications - Solid experience with modern CI/CD practices. - Hands-on expertise in: - Kubernetes - Docker - Helm - Kustomize - OpenShift - Experience with GitOps platforms: - FluxCD - ArgoCD - Familiarity with storage platforms such as: - OpenShift Data Foundation - Ceph - Infrastructure-as-Code experience with: - Terraform - Ansible - Scripting in: - Bash - Go or Python - Experience managing relational databases: - PostgreSQL - MySQL - Experience working with cloud and on-premise environments. - Monitoring and logging with: - Prometheus - ELK Stack - Strong familiarity with: - Git - Jira - Confluence - Knowledge of networking, storage, and data centre operations. - Experience with security standards, TLS, and ISO compliance. - Excellent communication skills and the ability to work independently in a remote environment. Benefits - Work on enterprise-scale infrastructure running on cutting-edge hardware — including NVIDIA GPU clusters supporting AI training, inference, and HPC workloads. - Ensure every deployment meets the highest standards of Swiss data protection and sovereignty. - Empowered to propose, build, and ship solutions that balance innovation with real-world compliance and operational resilience.

• Focus on building SRE and observability tooling — the platform, automation, and standards other teams use to keep their services healthy. • Developing standards, infrastructure and automation for dashboards, alerts, and monitors as code. • Partnering with development teams to establish production readiness and operational readiness. • Building the tooling and templates teams use to define, measure, and report on Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for their services. • Developing tooling to automate observability and operational workflows, eliminating manual toil for engineering teams. • Building and improving the incident response tooling and workflows that help teams resolve outages faster and learn from them.

• Build SRE and observability tooling • Develop standards, infrastructure, and automation for dashboards and alerts • Partner with development teams for production and operational readiness • Build tooling and templates for defining and reporting on Service Level Objectives (SLOs) • Automate observability and operational workflows • Improve incident response tooling and workflows

• Own and continuously improve the reliability of data pipelines across ingestion, transformation, and delivery layers, ensuring data is accurate, complete, and delivered on schedule. • Establish and maintain data reliability standards, including Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) for both upstream ingestion and downstream data delivery. • Design, implement, and maintain comprehensive monitoring, logging, and observability frameworks for data pipelines, datasets, and data services with clear visibility into freshness, volume, schema changes, and data quality. • Design and implement data quality testing and validation frameworks — establishing test cases, golden datasets, and regression tests to detect quality issues early. • Lead incident response for data reliability issues, including detection, triage, communication, root cause analysis, and post-incident remediation with documented corrective actions. • Drive improvements in pipeline resiliency through retry strategies, backfills, idempotency, schema enforcement, and safe deployment practices.