Platform Engineer

• 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.

Senior Platform Engineer

• 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.

AI Infrastructure & Platform Operations Engineer

• Operate the production system: deploys, rollbacks, capacity, incident response.
• Design and execute the scaling roadmap — horizontal scaling, load balancing, caching layers, object-storage offload, database replication, IPFS-node fan-out.
• Evaluate and integrate cloud building blocks (managed databases, object storage, CDN, load balancers) where they earn their cost.
• Stand up CI/CD pipelines (greenfield — likely GitHub Actions) covering test, build, image push, and deploy across all services.
• Establish observability: metrics, logs, error tracking, SLOs, and meaningful alerts.
• Manage TLS / ACME automation, DNS, and secrets handling — replace today's hardcoded credentials with a proper secret-management story.
• Introduce infrastructure-as-code (Terraform or comparable) so the production system is reproducible.
• Use AI coding assistants to author IaC modules, runbooks, and incident-response playbooks.

• Build and maintain a self-serve data platform using AWS services, Terraform, Kubernetes and Databricks
• Implement and manage data mesh principles to support domain-oriented data ownership
• Design and support medallion architecture (bronze, silver, gold layers) using Databricks
• Ensure platform scalability, observability, and cost optimization
• Implement data governance practices including cataloging, lineage, and access control
• Collaborate in a Scrum team to deliver platform features in an agile, iterative manner
• Support platform users and promote best practices across teams

• Lead and mentor a team of data platform engineers — not just manage them
• Design and evolve the data platform architecture powering analytics at scale
• Build and maintain distributed data pipelines and infrastructure
• Own decisions across data ingestion, transformation, storage and delivery
• Collaborate with product and engineering to shape data strategy
• Review code, set standards, and drive engineering excellence across the team

Lead Distributed Data Platform Engineer

• Join a Media & Entertainment project building modern analytical solutions.
• Help develop a cloud-native data ecosystem on AWS, focused on metadata management and data quality.
• Implement, configure, and maintain the Metadata Management platform and Data Quality environment.
• Integrate the solution with the lakehouse, data warehouse, domain systems, and analytical tools.
• Automate metadata ingestion, data lineage, data quality monitoring, and DQ reporting.
• Implement and maintain the metamodel and technical mechanisms for enforcing data quality rules.
• Develop and extend integrations between Data Quality and Metadata Management solutions.
• Monitor the stability, performance, and security of the environment.
• Collaborate with Data Governance, Data Engineering, and business teams to roll out standards and drive practical adoption of the data catalog and DQ mechanisms.
• Produce technical documentation and provide user support.

Data Platform Engineer, Metadata, DQ

• Build and maintain deployment infrastructure and internal tools supporting continuous integration and delivery pipelines
• Work closely with engineering teams around the world to define deployment practices and help roll out new deployment patterns
• Develop and manage Kubernetes-based deployment automation and platforms
• Ensure reliability by monitoring systems, responding to incidents, and maintaining runbooks and documentation
• Drive improvements in deployment speed, security, and scalability through automation and infrastructure as code
• Leverage AI-based tools and platforms to help improve operational efficiency and deployment safety

Senior Platform Engineer – Zendesk Deploy Team

• Design and implement cloud-based data platform infrastructure using Infrastructure as Code (Terraform)
• Build and maintain CI/CD pipelines that automate data engineering workflows
• Implement and operate observability solutions
• Collaborate closely with data engineers and cross-functional teams
• Apply best practices for high availability, disaster recovery, security and cost optimization

Data Platform Engineer

• Design and deploy on‑prem and AKS Kubernetes clusters
• Enable workload portability between Azure and on‑prem
• Define networking, ingress, storage, and security patterns
• Deliver Kubernetes workload migrations
• Build container image lifecycle processes
• Collaborate closely with Platform Engineers and Infrastructure teams

Senior Kubernetes Platform Engineer

• SIEM Platform Management & Administration: Monitoring, administration, and optimization of the Splunk Enterprise platform to ensure efficient log management and effective security information and event management (SIEM)
• Conduct regular Splunk Infra & Ingestion health checks and monitoring to keep the environment robust and healthy for our stakeholders
• Monitor & Keep the Splunk Enterprise instances in good health to serve our customers by keeping platform up & running 24/7
• Troubleshooting & Problem Solving: Actively identify issues using “Monitoring”, investigate the root cause, troubleshoot and fix the Splunk platform issues & problems related to log source outages, parsing errors, time discrepancies, user problems and more
• Conduct Root Cause Analysis (RCA) to systematically address recurring issues and streamline problem mitigation
• SIEM Configuration Management & End-user Support: Support the deployment and configuration of Splunk solutions at enterprise level, ensuring seamless log integration and issue resolution
• Manage end-user service requests, oversee Splunk access control, and enforce access restrictions to maintain secure and efficient user management
• Ensure optimal platform performance through regular consolidation, cleanup, and configuration adjustments
• Innovation, Analytics, & Continuous Improvement: Enhance Splunk operations by implementing innovative solutions that improve efficiencies and automate processes, while integrating emerging technologies to optimize performance
• Leverage machine learning and AI to deliver advanced analytics insights, predictive models, and strategic data-driven visualizations for informed decision-making
• Migration & Collaborations: Handle SIEM server offboarding and migration, managing Cloud/On-prem Splunk forwarders (UF/HF) and log source migration projects
• Foster collaboration with multiple global teams like cybersecurity, IT, and business units, while streamlining processes and documentation to boost efficiency & platform stability

SIEM / Splunk Administrator – Platform Engineer

• przejęcie i dalszy rozwój istniejących aplikacji w ekosystemie Power Platform (projekt nie jest greenfieldowy),
• utrzymanie, rozwój oraz reverse engineering istniejących rozwiązań,
• tworzenie i rozwój aplikacji w: **Power Apps Canvas**,** Model Driven Apps**, **Power Pages**,
• projektowanie backendu opartego o: **SharePoint Online **i **Dataverse**,
• tworzenie, rozwój i utrzymanie **automatyzacji **w Power Automate,
• wsparcie dla citizen developerów oraz użytkowników biznesowych w zakresie Power Platform,
• bliska, bezpośrednia współpraca z przedstawicielami biznesu.

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