Platform Engineer

• Own and operate the Linux server landscape across the on-premise Proxmox/ZFS cluster and AWS
• Run and harden networks and security, including firewalls, VPNs, access control, certificates, hardening, and the network link to the largest partner
• Automate infrastructure with Ansible and keep it versioned, reproducible, and documented
• Maintain the Docker, Nomad, and Traefik container platform
• Maintain GitHub Actions CI/CD pipelines so teams can ship quickly and safely
• Administer MySQL in production, including backups, performance, and recovery
• Extend monitoring, logging, and alerting with Grafana and New Relic
• Drive incidents to root cause
• Act as a sparring partner for Engineering, Data, and Product
• Explain infrastructure design decisions and help grow a colleague

Senior System Engineer – Platform & Security

• Drive the technical direction of Microsoft Dynamics 365 and Power Platform initiatives
• Lead a team of 4–8 developers, mentor talent, and deliver scalable solutions
• Architect and implement tailored Dynamics 365 and Power Platform solutions
• Lead design, development, and deployment of bespoke applications and integrations
• Provide hands-on developer support and guidance
• Own the full software development lifecycle from design through support
• Ensure SDLC stages are documented, secure, and aligned with enterprise standards
• Collaborate with SRE and support teams for operational handovers
• Line manage and coach developers; oversee performance and career development
• Manage third-party resources for burst capacity
• Establish and enforce development standards and processes
• Translate stakeholder requirements into technical designs and delivery plans
• Facilitate workshops and technical discovery
• Contribute to platform strategy, roadmap, and architecture forums
• Own release management, environment strategy, and DevOps automation
• Embed security and compliance across Power Platform/D365 delivery

Lead Platform Engineer – Power Platform, D365

• Support the deployment and operation of mission-critical MES installations in high-tech manufacturing environments
• Execute remote installations of MES environments and applications
• Validate pre-conditions, dependencies, and compatibility before deployment
• Ensure smooth, structured, and auditable installation flows
• Control and grant access according to governance policies
• Enforce environmental limits, quotas, and expiration rules
• Ensure secure and compliant access workflows across teams and customers
• Monitor CPU, memory, storage, and cluster health
• Identify scaling needs and perform capacity adjustments
• Guarantee stable, performant, and cost-efficient MES environments
• Execute deployments in DMZ or restricted network zones
• Validate firewall, routing, reverse proxy, and TLS configurations
• Ensure ongoing availability, compliance, and secure connectivity
• Investigate issues using logs, containers, pods, events, and system traces
• Collaborate with engineering, SRE, and infrastructure teams
• Resolve installation and post-installation issues using root-cause analysis
• Advise partners and customers on infrastructure, virtualization, container platforms, and network setup best practices
• Clarify responsibilities between internal teams, integrators, and customers
• Document lessons learned and corrective/preventive actions
• Contribute to knowledge bases, troubleshooting playbooks, and best practices
• Help improve automation, observability, and deployment tooling

Platform Support Engineer

• Design, build, and operate production-grade REST APIs and backend services powering empower's Data Hub and Agent Workflows
• Integrate open-source and commercial AI/LLM tools into backend systems, including RAG pipelines, embeddings, vector search, and model routing across providers
• Build and maintain data pipelines and integrations feeding the Business Knowledge Graph
• Own service reliability, performance, security, monitoring, cost, and scaling
• Collaborate with AI Product Engineers to expose platform primitives, including tool endpoints, retrieval APIs, and data contracts, for agent workflows
• Integrate open-source and commercial AI capabilities cleanly and reliably into the platform foundation
• Build scalable APIs, distributed services, data pipelines, and retrieval infrastructure connecting enterprise data, knowledge, and AI capabilities across the empower platform

Senior AI 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 jobs in Portugal

Senior System Engineer – Platform & Security

Lead Platform Engineer – Power Platform, D365

Platform Support Engineer

Senior AI Platform Engineer

Platform Engineer – MLOps