• Design, develop, and support scalable data pipelines and cloud-native data architectures. • Build and maintain production-ready applications and data processing frameworks using Python, PySpark, Scala, and related technologies. • Partner with engineering and business stakeholders to deliver analytics-ready datasets and reporting capabilities. • Contribute to technical architecture decisions, platform improvements, and development best practices. • Develop and optimize ETL/ELT workflows and streaming data solutions. • Create and manage data models, reporting structures, and analytics dashboards using AWS-native tools. • Work with relational and NoSQL databases to support high-volume data processing and storage requirements. • Implement cloud infrastructure solutions leveraging AWS services and container orchestration platforms such as Kubernetes or ECS. • Collaborate with operations teams on backup, disaster recovery, data retention, and security strategies. • Participate in code reviews, technical mentorship, and collaborative problem-solving across the engineering organization. • Evaluate and recommend modern technologies and frameworks that improve scalability, efficiency, and reliability.

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

Role Description As an AI Platform Engineer within our System Administration team, you will design and build the internal AI platform that every Bloomerang employee uses to do their best work. This role isn’t just about maintaining infrastructure — it’s about shipping a product. You will architect a unified AI workspace where authentication, integrations, governed data access, and shareable skills come together so every employee can be an AI power user without configuring a thing. Beyond the platform build, you’ll also have an active hand in advancing Bloomerang’s adoption of existing internal AI tools — Replit, Claude, Gemini, Skyvern, and others — partnering with our AIOps Engineer to keep the broader ecosystem moving forward. What You Will Do - AI Platform Build - Ship the Product: Design and build Bloomerang’s internal AI platform end-to-end, from architecture through iteration. - Frictionless Access: Build a unified workspace where employees sign in once and every tool, integration, and capability is ready on day one. - Governed Intelligence: Partner with data and security stakeholders to integrate role-based, just-in-time access to a tiered data model. - Marketplace of Skills: Build the internal app store where employees can publish, discover, and one-click install reusable skills, flows, and agents. - Memory That Works: Architect a context system that lets the platform know what people are working on without asking them to re-explain. - Internal AI Tooling Enablement - Hands-On With the Stack: Partner with the AIOps Engineer to advance Bloomerang’s adoption and capability with Replit, Claude, Gemini, Skyvern, and other AI tools already in use. - Builder Support: Help internal builders get the most out of existing tools through templates, examples, and direct technical partnership. - Embedded Discovery - Sit With Users: Spend time with employees across departments to see how they actually work and where the platform can move the needle. - Translate Into Capability: Turn what you observe into shipped features — primitives others can build on, not one-off solutions. Qualifications - The Builder Mindset: You ship. You’d rather have something rough running in production than something perfect on a whiteboard. - Mixed AI & Generalist Depth: You’ve built with LLMs and agentic frameworks, and you’re a strong generalist software engineer. - Platform Thinking: You build for the second user, not just the first. One person’s breakthrough should become everyone’s baseline. - Modern AI Tooling Fluency: Working knowledge of Claude Code, Replit, MCP, and the broader agentic ecosystem. - Identity & Security Fluency: Comfortable integrating SSO (OIDC/SAML) into custom applications and reasoning about least-privilege access. - Communication: You translate user needs into technical solutions without losing the nuance — and explain what you built back in their language. - Adaptability: The AI landscape shifts weekly. You’re energized by that, not exhausted by it. - High Ownership: Greenfield build, small team. You make decisions, ship, and adjust. Benefits - Health + Wellness: You’ll have access to generous health, vision, and dental insurance options as well as HealthiestYou, a healthcare service that offers convenient, confidential access to quality doctors 24/7, anytime, anywhere. - Time Off: You'll get a competitive PTO package that includes 20 PTO days, 3 flex days, 4 optional volunteer days, 12 paid holidays, as well as paid parental leave. More is more! - 401k: You'll receive a 401k match to help invest in your future. - Equipment: Everything you need to be successful, shipped right to your door. You got this. We got you. - Compensation: The salary range for this position is $127,000 - $153,000. You may also be eligible for a discretionary bonus. Actual compensation within the range will be dependent on your skills, experience, qualifications, and location, as well as applicable employment laws. - Location: This is a permanent, full-time, fully remote position (within the U.S. and select Canadian Provinces only). Employees living in Indianapolis, IN are welcome to work from our company headquarters. We do not offer Visa sponsorship or relocation assistance at this time. - Accommodations: Applicants who require accommodations may contact careers@bloomerang.com to request an accommodation in completing an application. Company Description Bloomerang is an Equal Opportunity Employer. Individuals seeking employment at Bloomerang are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

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