DKSH Portugal, Unipessoal, Lda.

Platform Engineer

• Build and maintain CI/CD pipelines for ML workloads, including testing, packaging, and promotion of models and pipelines
• Own ML lifecycle tooling for experiment tracking, model registry, versioning, and promotion gates
• Define development-to-production promotion procedures with validation gates, rollback, and audit trails
• Implement model deployment and serving patterns for batch inference and real-time endpoints
• Build and maintain observability for pipeline health, model/data drift, performance, latency, and cost
• Partner with data scientists to productionize notebooks and experiments into governed, reliable, repeatable pipelines
• Administer and evolve Databricks workspaces, Unity Catalog metastores, and catalogs with appropriate access controls
• Support AWS infrastructure underpinning the Lakehouse, particularly IAM, networking, S3, and related platform services
• Apply least-privilege access and Unity Catalog governance across data and ML assets
• Monitor and tune Databricks jobs and compute for cost and performance
• Maintain architecture documentation and runbooks for deployment, troubleshooting, and production support
• Partner with data engineering and data science teams to define and maintain platform standards, automation, and documentation
• Translate ML workload requirements into reliable, governed, reusable platform capabilities

Platform Engineer – MLOps

Full-stack Engineer

• Design and develop high-performance networking features for enterprise-grade appliances
• Work on open-source data plane / fast path stacks including VPP and DPDK
• Lead technical initiatives and mentor team members
• Own features end-to-end, delivering independently and at scale
• Collaborate cross-functionally and promote knowledge sharing
• Communicate architecture decisions and design trade-offs effectively, including at senior levels
• Manage competing priorities with urgency, accountability, and strong ownership

Senior Network Software Engineer, DPDK

• Design, develop, and deploy enterprise-grade networking appliances
• Design and develop high-performance networking features for enterprise-grade appliances
• Work on open-source data plane / fast path stacks such as VPP and DPDK
• Lead technical initiatives and mentor team members
• Own features end-to-end, delivering independently and at scale
• Collaborate cross-functionally and promote knowledge sharing
• Communicate architecture decisions and design trade-offs effectively, including at senior levels
• Manage competing priorities with urgency, accountability, and strong ownership

Senior Network Software Engineer

DevOps Engineer

• Own how software gets built, shipped, and run across infrastructure and product initiatives
• Design, build, and optimize GitLab CI/CD pipelines for building and testing microservices
• Implement and maintain GitOps-based deployments to Kubernetes
• Deploy and operate containerized applications on Kubernetes, including EKS, GKE, AKS, or on-premise environments
• Define standards for container images, manifests, and resource configuration
• Provision, scale, and maintain cloud infrastructure using Terraform or AWS CDK
• Build reusable infrastructure modules and keep environments consistent and auditable
• Support development teams with containerization, environment setup, architecture patterns, and continuous delivery practices
• Remove friction from the path to production
• Set up and maintain monitoring, logging, and alerting for services and pipelines
• Manage secrets, access, and image security across CI/CD and Kubernetes
• Coach DevOps engineers, review their work, and raise the team's baseline
• Work closely with the Site Reliability Engineer on delivery tooling and platform architecture
• Build evidence to measure applied AI across the delivery lifecycle and inform future capability decisions

Platform Engineer – MLOps

Senior Network Software Engineer, DPDK

Senior Network Software Engineer

Senior DevOps Engineer