Role Description - Designing, building, and operating scalable Kubernetes-based platform infrastructure. - Developing backend platform services and reusable engineering components. - Building and maintaining cloud-native solutions (primarily on AWS). - Creating and evolving Infrastructure as Code solutions using Terraform. - Designing and implementing CI/CD pipelines and deployment automation. - Developing scalable multi-tenant platform capabilities for engineering teams. - Building self-service developer platform features and internal tooling. - Designing and maintaining APIs and platform architecture standards. - Improving platform reliability, observability, and monitoring capabilities. - Collaborating with engineering teams to improve developer experience and platform adoption. - Contributing to platform engineering best practices and technical standards. - Supporting container platform operations and orchestration processes. - Driving automation and operational excellence across the platform ecosystem. Qualifications - 5+ years of experience as a Platform Engineer. - Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. - Strong hands-on experience with Kubernetes, including cluster operations and orchestration concepts. - Strong backend engineering background. - Strong programming skills in TypeScript and/or Go; Python experience is a plus. - Solid experience with cloud platforms, preferably AWS. - Practical experience with Infrastructure as Code tools, preferably Terraform. - Experience with CI/CD pipelines and deployment orchestration. - Experience designing scalable multi-tenant systems. - Strong understanding of API and platform architecture. - Solid Linux and networking fundamentals. - Experience with observability and monitoring solutions. - Experience building reusable self-service platform capabilities for developers. - Good English communication skills (at least B2 level). - Work from the European Union region and a work permit are required. Requirements - Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. - Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. - Experience with Internal Developer Platforms (IDP). - Experience building Kubernetes operators and controllers. - Experience with Backstage or developer portal tooling. - Experience in container runtime or platform engineering. - Knowledge of event-driven and distributed systems architecture. - Experience with service mesh technologies and OpenTelemetry. Recruitment Process - CV review - HR call - Technical Interview - Client Interview - Decision

• Design and implement solutions for indexing Atlan metadata assets • Ensure compliance and data governance • Collaborate with DevOps team for production readiness and maintainability

• Own the end-to-end architecture and delivery of scalable data solutions, with a strong emphasis on Databricks-based platforms and modern cloud ecosystems • Lead design and implementation of data pipelines, data models, and transformation frameworks that support analytics, reporting, and advanced use cases • Serve as a primary client-facing technical leader, building trusted relationships and guiding stakeholders through complex data challenges and solution decisions • Translate ambiguous business requirements into clear, actionable technical architectures and delivery plans • Establish and enforce best practices across data engineering, including data ingestion (pipeline orchestration, testing, and optimization) and DevOps • Drive platform strategy and architecture decisions, including lakehouse design, medallion architecture, and governance frameworks • Lead and mentor delivery teams, providing technical guidance, code reviews, and hands-on support to ensure successful project outcomes • Collaborate with cross-functional teams including data architects, analysts, and client stakeholders to ensure alignment and value delivery • Identify risks, proactively address challenges, and ensure high-quality, timely delivery across engagements • Contribute to internal capability building, including reusable frameworks, accelerators, and thought leadership • Support business development efforts by shaping technical solutions, contributing to proposals, and participating in client discussions

Role Description - This is a remote position. - Hands-on experience in Automating solutions in Power shell at L3 level - Experience in monitoring, troubleshooting, and executing Azure Runbooks for operational automation - Working knowledge of Microsoft 365 Groups management and support - Strong Experience in M365 License Management - Strong understanding of Agile methodologies, with experience working in Scrum or Kanban environments - Knowledge of Azure monitoring and diagnostics tools (Log Analytics, Application Insights, Alerts) - Good understanding of application security, reliability, and performance optimization in cloud environments - Excellent problem-solving, collaboration, and communication skills - Proficiency in DevOps practices, including CI/CD pipeline implementation and maintenance (Azure DevOps or GitHub Actions) - AZ-204 - Good understanding of M365 Security and Compliance features, including retention, audit, and data governance policies Qualifications - Required Technical Skill Set: MS Azure, M365, PowerShell Requirements - MS Azure - M365 - PowerShell