Senior DevOps Engineer

The role You'll own how software gets built, shipped and run across our infrastructure and product initiatives: the CI/CD pipelines, the container platform, the infrastructure code and the tooling that lets development teams deliver safely and quickly. This is a hands-on role with ownership. You'll set the standards for delivery tooling, drive them through with the teams, and mentor the DevOps engineers around you. You'll work closely with our Site Reliability Engineer, who owns availability targets and platform architecture; you own the delivery engine that runs on top of it. What you will do CI/CD. Design, build and optimize GitLab CI/CD pipelines for building and testing microservices, and GitOps-based deployments to Kubernetes; keep them fast, reproducible and secure. Container platform. Deploy and operate containerized applications on Kubernetes (EKS, GKE, AKS or on-premise); define standards for images, manifests and resource configuration. Infrastructure as Code. Provision, scale and maintain cloud infrastructure with Terraform or AWS CDK; build reusable modules and keep environments consistent and auditable. Developer enablement. Support development teams with containerization, environment setup, architecture patterns and continuous delivery practices; remove friction from the path to production. Monitoring and logging. Set up and maintain monitoring, logging and alerting (Prometheus, Grafana, Datadog or similar) for services and pipelines, in line with the reliability standards the SRE defines. Security in the pipeline. Manage secrets, access and image security across CI/CD and Kubernetes. Mentoring. Coach DevOps engineers, review their work and raise the team's baseline.  What we need from you GitLab CI/CD. Strong expertise writing .gitlab-ci.yml, optimizing runners, managing artifacts and caching, and handling secrets in pipelines. GitOps. Hands-on experience running Kubernetes deployments with ArgoCD or Flux. Kubernetes. Hands-on experience with core objects (Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, HPA) and with day-to-day troubleshooting of workloads. Containers. Proficiency with Docker: multi-stage optimized Dockerfiles, image lifecycle and registry management, container security basics. Infrastructure as Code. Proven experience with Terraform or AWS CDK for automated infrastructure provisioning. Cloud. Solid AWS background. Scripting and automation. Proficiency in Python or Bash; comfortable building internal tooling. Fundamentals. Solid Linux and networking knowledge (DNS, TLS, load balancing). Ownership and mentoring. Several years in DevOps or platform roles, with experience taking charge of delivery tooling and mentoring less experienced engineers. Nice to have Bitbucket Progressive delivery (canary / blue-green) Ansible or other configuration-management tooling A second cloud, ideally GCP Service mesh (Istio, Linkerd or Cilium) Cost awareness and FinOps practices Start-up / scale-up experience How we work Small team, high trust — you'll talk to the CEO as easily as to the person sitting next to you Open to experimenting with new technologies: if you can show it solves a real problem, you'll get the room to try it Relaxed, low-ego environment — we care about the work being good, not about hierarchy or hours at a desk Room to shape how we build: our engineering practices are still being written, and you'll have a real say in them About Opplane Opplane specializes in providing advanced data-focused solutions for financial services, telecommunication, and reg-tech to accelerate their digital transformation journey. Opplane leadership team is comprised of Silicon Valley serial entrepreneurs and experienced executives. Its expertise comes from years of specific industry experience at some of the world’s top companies, such as PayPal, Xerox Parc, Amazon, Wells Fargo, SoFi in the areas of product management, data technology, data governance, data privacy, security, machine learning, and risk management. Why Opplane 🌍 Global & Multicultural – Diverse perspectives, global collaboration (US, Portugal, India and Singapore offices) ⚡ Startup Energy – Fast-moving, impact-driven environment 💪 Ownership Mindset – Engineers own what they build 🤝 Collaborative & Friendly – Open, curious, and supportive culture Most organizations deploying AI to engineering cannot say what they got for it and respond by buying more of it or by arguing. You will build the evidence instead and then use it to decide where the next capability goes. The measurement program is the first project. The scope is applied AI across the delivery lifecycle, with real internal users, a platform team to build on, and leadership that will act on what you find.