Platform Engineer

Job Title: Platform Engineer/Infrastructure EngineerLocation: Copenhagen, Denmark (hybrid model – 2 or 3 days onsite) Contract Length: 6 months – initial Rate: depending on experience Headcount: 3 Company OverviewOur client is a leading innovator in technology solutions, driving cutting-edge projects that shape the future of scalable platforms and infrastructure. They are committed to building robust, high-performance systems that enable advanced data and machine learning capabilities. Join a team where your expertise will directly influence next-generation technology.Role OverviewWe are seeking hands-on Platform/Infrastructure Engineers who thrive in building solutions from the ground up. This is a highly technical role focused on designing and implementing foundational capabilities, rapidly prototyping, and ensuring scalability for future growth. You will work at the intersection of cloud engineering, infrastructure, and machine learning platforms, helping evaluate build vs. buy decisions and optimizing for cost and long-term maintainability.Key ResponsibilitiesDesign and implement scalable infrastructure and platform solutions from scratch.Rapidly develop prototypes to validate feasibility and performance.Collaborate on architecture decisions for cloud, containerization, and distributed systems.Integrate ML/DS workflows into robust engineering environments.Optimize compute resources for cost efficiency and performance.Implement Infrastructure-as-Code (IaC) and CI/CD pipelines for automation and reliability.Ensure observability, security, and compliance across all deployments.Skills & ExperienceCore Technical Expertise:Strong programming skills in Python, Go, C/C++, Rust, Java.Deep experience with AWS services (EC2, EKS, API Gateway, Sagemaker, EMR, Glue, Athena, S3, Lambda, VPC, DynamoDB, etc.).Proficiency in Infrastructure-as-Code tools: Terraform, CDK, Pulumi, Crossplane.Containerization & orchestration: Kubernetes, Docker, Podman.Monitoring & observability: Prometheus, Grafana, ELK stack.CI/CD: Jenkins, GitHub Actions, CircleCI, Travis CI.Machine Learning & Data Engineering Exposure:Familiarity with ML frameworks and tools: MLFlow, Kubeflow, Metaflow, BentoML, ONNX, PyTorch.Experience with distributed compute frameworks: Spark, Ray, Dask.Understanding of MLOps principles: model deployment, training, inference, monitoring.Additional Skills:Knowledge of GitOps, REST/gRPC APIs, and scalable compute architectures.Strong grasp of build vs. buy vs. borrow strategies and TCO evaluation.Interested? Apply now for immediate consideration or contact James Allen on +44 203 868 8607 – jallen@planet-pharma.co.ukWe are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age. Planet Pharma is an Employment Business providing Global Staffing services.