Platform Engineer

• Develop automations and transform business processes using modern technological stack
• Develop Power Apps tools and Copilot Studio Agents
• Provide support and maintenance to the existing automations and applications
• Consult clients in the context of design and implementation

Power Platform Developer

• Enable cheap ownership and evolution of high-quality datasets.
• Build and maintain self-service data acquisition, annotation, transformation, and versioning capabilities so developers and data practitioners can move from raw data to clean, versioned datasets quickly and continuously.
• Facilitate data lineage tracking and data governance.
• Provide tooling to build transformation pipelines with integrated data quality checks.
• Facilitate experimentation with data and models.
• Enable researchers to track their experiments and reproduce past runs with minimal effort.
• Provide access to services with compute clusters for running model training pipelines and experiments.
• Facilitate full traceability of data, code, and artifacts across experiments and data transformation pipelines.
• Design and operate secure, automated deployment workflows that move models from experimentation to production in minutes, not weeks.
• Implement continuous deployment pipelines with versioning and parallel deployments to ensure quality and enable rollbacks.
• Optimise runtime environments to meet latency and performance targets, supporting multi-cluster and multi-tenant scaling.

Software Engineer – Genetec AI Platform

• Setting up new and maintaining existing environments.
• Collaborating with developers on resolving issues.
• Executing modernization tasks.
• Debugging low-level problems.
• Working with documentation.
• Improving existing and preparing new processes.
• Automating repeatable tasks with scripts.
• Participating in rotated on-call activities.

• Lead/contribute to engineering efforts from planning to execution and delivery of solutions.
• Define and maintain policies around developer, test, and validation deployments.
• Design and build advanced CI/CD pipeline frameworks.
• Build tooling and infrastructure to help engineering teams measure and increase velocity.
• Drive best practices in code health, testing, and maintainability.
• Analyze and decompose complex software systems.

Software Engineer – Platform Services

• Lead, mentor, and grow a team of ~8–10 strong systems and backend engineers, fostering a culture of technical excellence and high code quality.
• Own the vision and roadmap for the platform layer of the Bidding Platform - planning its evolution with platform efficiency, reliability, scalability and security as the guiding lens.
• Take part in defining the team's evolving scope — as the platform grows, we anticipate the need for multiple platform teams, leaving meaningful room to shape the scope around the areas that interest you most.
• Delegate ownership of whole platform areas (e.g. monitoring, deployment, security) to senior engineers advising and supporting them when needed.
• Deliver the team's capabilities as self-service platforms with clear usage contracts.
• Base decisions on data - complex projects often require running experiments and gathering evidence before deciding.
• Take part in IT-wide capacity planning for further platform scaling.
• Own the framework for dispatching on-call alarms to the right teams and drive the continuous elimination of noisy alarms. The lead does not need to take part in the duty rotation personally.

Engineering Team Leader – Platform Engineering

• Design and build scalable data solutions on Snowflake that translate business requirements into optimized data models, ETL/ELT pipelines, and data warehouse architectures
• Develop reusable data models and infrastructure that support analytics, reporting, machine learning model training/serving, and IoT use cases while ensuring performance, reliability, and cost optimization
• Optimize data extraction and integration from diverse Robotics data sources—including IoT platforms—leveraging modern ETL/ELT tools and best practices to reduce costs and improve efficiency
• Enable "data as product" delivery by implementing structured, organized data solutions with proper governance, access controls, and documentation that empower business stakeholders
• Provide technical consultation to business and IS teams on technology selection, architecture decisions, and best practices for both backend data solutions (databases, data pipelines, machine learning infrastructure) and frontend visualization tools.

Data Developer, Robotics IS Platform

• Lead the migration of the MetaSDV platform from local, Docker-based developer deployments to a hosted, multi-tenant cloud offering.
• Operate the cloud platform: capacity planning, SLOs, on-call rotation, cost discipline, backup and disaster recovery, partner-grade reliability.
• Implement and maintain security and compliance controls: tenant isolation, audit logging, secret and certificate lifecycle, identity boundaries across developer, CI and partner-facing environments.
• Own build and release engineering end-to-end: multi-layer containerized dev and CI environment, GitLab CI/CD pipelines, compiler caches (sccache and similar), multi-architecture builds (x86_64, ARM, including embedded targets and CI runners), nightly and versioned artifact publishing, offline distribution packages, container registry hygiene.
• Maintain test and observability infrastructure: containerized E2E, integration and performance/load test suites; logs, metrics, traces, dashboards; hardware-in-the-loop adjacent runners (RENODE-based MCU emulation, etc.).
• Provision and operate partner-facing instances of the platform: access management, environment lifecycle, and integration support during partner onboarding.
• Champion developer experience and cross-team alignment: one-command local environments, reproducible builds, fast feedback loops, and ongoing collaboration with engineers, architects, and technical leads to align infrastructure with product roadmap and partner integration timelines.

Senior Platform Engineer

• You'll be working with state-of-the-art technologies in Microsoft Power Platform.
• The idea is to deliver business advisory services in the field of transformation and enterprise management systems; implement the newest Microsoft Power Platform solutions and manage the quality of implementation projects.

Power Platform Developer – Power Pages

• Implement, maintain, and continuously improve the foundational platform infrastructure that powers all engineering services.
• Build and maintain platform infrastructure using declarative IaC tools (e.g., Terraform, Pulumi).
• Act as first-line responders for critical system incidents; triage, diagnose, and resolve complex production issues rapidly.
• Own the stack of supporting tools necessary for operational excellence and developer enablement, including CI/CD pipelines.
• Implement and manage robust systems for monitoring, logging, and distributed tracing to provide insights into application and infrastructure health.

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
• Act as a senior escalation point for operational teams during critical service-impacting events.
• Support large-scale NVIDIA GPU infrastructure and high-performance networking environments.
• Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues.
• Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks.
• Lead root cause analysis activities and drive long-term corrective actions.
• Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges.
• Participate in major incident management and service restoration activities.
• Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
• Drive improvements in platform reliability, observability, monitoring, and operational processes.
• Identify opportunities to automate repetitive operational activities and improve operational efficiency.
• Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions.
• Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI.
• Evaluate emerging technologies and operational practices to improve service delivery and platform resilience.
• Mentor and support AI Infrastructure & Platform Operations Engineers.
• Share technical knowledge through documentation, training sessions, and operational reviews.
• Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices.
• Help define operational processes, escalation paths, and service reliability standards.
• Act as a trusted technical advisor during operational planning and service improvement initiatives.

Senior AI Infrastructure, Platform Operations Engineer

• Monitor, operate, and support production AI infrastructure platforms.
• Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.
• Support NVIDIA GPU infrastructure and associated platform services.
• Monitor and troubleshoot Kubernetes-based environments.
• Investigate performance, availability, and reliability issues across infrastructure and platform components.
• Collaborate with engineering teams, hardware vendors, datacenter personnel, and service delivery teams to resolve technical issues.
• Participate in incident response, root cause analysis, and operational improvement activities.
• Contribute to improvements in monitoring, observability, automation, and operational processes.
• Maintain operational documentation, runbooks, and knowledge articles.

Platform Engineer jobs in Poland

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Power Platform Developer

Software Engineer – Genetec AI Platform

Platform Engineer

Software Engineer – Platform Services

Engineering Team Leader – Platform Engineering

Data Developer, Robotics IS Platform

Senior Platform Engineer

Power Platform Developer – Power Pages

Senior Platform Engineer

Senior AI Infrastructure, Platform Operations Engineer

AI Infrastructure & Platform Operations Engineer