Role Description As a Principal Platform Engineer, you will design, build, and support the core platform infrastructure that enables secure, observable, and reliable AI-enabled engineering workflows. You will partner closely with engineering teams to connect LLM platforms, internal systems, APIs, and developer tools into a scalable control plane. - Design and implement platform integrations across MCP, API gateways, LLM services, Azure infrastructure, and containerized environments. - Build the wiring between AI platforms, internal applications, Azure DevOps, GitHub, and supporting engineering workflows. - Develop control plane capabilities that support audit logging, human-in-the-loop approval gates, kill-switch functionality, output validation, and safe production usage. - Create and maintain evaluation harnesses to test, measure, and validate LLM-driven outputs before they are promoted into broader workflows. - Actively use AI tools, including Claude through our Anthropic partnership, to streamline tasks, improve the quality of your work, and share best practices with teammates while continuously seeking new ways to integrate AI into your everyday workflows. - Build observability dashboards and monitoring capabilities that give engineering and leadership teams visibility into platform health, usage, performance, and risk signals. - Partner with application, DevOps, security, and architecture teams to ensure platform components are reliable, scalable, secure, and aligned to enterprise standards. - Troubleshoot complex platform, integration, and deployment issues across Azure, containerized services, API layers, and AI platform components. - Provide technical leadership by helping define patterns, guardrails, and best practices for building and operating AI-enabled platform capabilities. Qualifications - Consultative approach and problem solving skills to successfully align digital solutions with long-term business goals of the client. - Hands-on experience using AI tools to enhance daily work, or a strong desire to do so, including a willingness to experiment, learn, and champion AI adoption within your role. - Commitment to understanding and exceeding client expectations. - Ability to perform project oversight and execution of deliverables. - Flexibility to adapt within a high-growth organization. - Ability to lead, mentor and motivate those around them. - Hunger for continuous learning and professional development. - Intellectual curiosity to provide creative solutions. - Full understanding of the software development life cycle. - Ability to positively impact fellow colleagues through effective leadership, presentations, coaching, etc. - Desire to work in a team environment. - Good interpersonal, written and verbal communication skills. Requirements Regardless of your specific role, we seek individuals who are excited to explore, adopt, and evangelize AI tools and methodologies. If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you’ll fit right in. Benefits - Opportunity to work alongside a talented, diverse team in a collaborative and creative environment. - Ongoing investment in your growth through training, mentorship, and industry certifications. - Hands-on exposure to cutting-edge technologies across multiple industries. - Recognition programs and employee awards within an inclusive culture that celebrates great work, including our AI Innovators Program. - Remote or hybrid work options. Equal Employment Opportunity Policy Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic. We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting recruiting@teamsparq.com .

Role Description You will be: - Shaping the technical direction and architecture of a developer-focused platform, balancing scalability, developer experience, and business goals. - Collaborating closely with engineering teams to define platform capabilities, prioritize initiatives, and make architecture-informed product decisions. - Driving the evolution of a cloud-native platform built on Kubernetes, AWS, and modern infrastructure tooling. - Designing intuitive developer workflows that simplify application deployment, operations, and platform adoption. - Contributing to platform architecture, including areas such as multi-tenancy, deployment pipelines, identity and access management, and platform security. - Supporting the development of internal platform capabilities, including build and deployment systems, observability, and developer tooling. - Working in a fast-paced environment, rapidly validating ideas, delivering new capabilities, and iterating based on feedback. - Contributing hands-on to the codebase when needed, helping the team solve complex technical challenges. Qualifications - Proven experience as a Technical Product Owner, Tech Lead, Platform Engineer, or in a similar role focused on developer platforms. - Experience building or evolving developer-focused platforms such as Railway, Vercel, Netlify, or similar cloud infrastructure products. - Strong understanding of cloud-native technologies, including AWS, Kubernetes, containers, and deployment pipelines. - Solid knowledge of platform architecture concepts, including multi-tenancy, control plane vs. data plane, and developer workflows. - Experience building products from the ground up (0→1) or within early-stage, rapidly scaling environments. - Strong product mindset with the ability to translate complex infrastructure into intuitive developer experiences. - Ability to collaborate effectively with engineering teams and make architecture-informed technical decisions. - Hands-on software engineering experience, ideally with TypeScript, NestJS, or similar backend technologies. - Understanding of API design, developer experience (DX) principles, identity and access management (IAM), security best practices, and cost optimization (FinOps). - Practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat, or similar) to improve productivity, quality, or decision-making in analysis and software delivery. Requirements - Work from the European Union region and a work permit are required. Benefits - Hands-on experience with infrastructure tooling such as Terraform, Helm, Docker, and Kubernetes in production environments. - Familiarity with observability platforms such as Prometheus, Grafana, OpenTelemetry, or similar solutions. - Experience building or maintaining CI/CD pipelines, internal developer platforms, or Git-based development workflows. - Knowledge of billing, metering, or usage-based SaaS pricing models. - Familiarity with edge computing, CDNs, or high-performance networking architectures. - Previous experience building developer tools, APIs, or platform products. - Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily analytical and documentation work. - Interest in and familiarity with emerging AI-driven practices (e.g. automation of analysis tasks, AI-supported documentation, or workflow optimization), with a willingness to explore and experiment beyond standard approaches. Recruitment Process - CV review - HR call - Interview - Client Interview - Decision

• Lead AI Agent Strategy: Architect and drive the technical evolution of our customer-facing AI agents, ensuring they deliver intuitive, intelligent, and highly reliable interactions. • Innovate with Super Agents: Spearhead the development of "Super Agents"—complex, multi-agent systems capable of reasoning, planning, and executing multi-step tasks across our platform. • Workflow Automation: Design and implement robust frameworks to automate complex business workflows that agents can reliably execute, reducing manual overhead and increasing operational efficiency. • Collaborate: Work closely with product managers, data scientists, and cross-functional engineering teams to translate business needs into scalable agentic solutions. • Technical Leadership: Provide hands-on technical guidance, set best practices for LLM integration, prompt engineering, and agent orchestration, while safeguarding scalability, security, and performance. • Mentorship: Mentor senior engineers on AI/ML best practices, agentic design patterns, and the integration of emerging AI technologies into production systems.

• Optimize the availability, performance and security of our cloud infrastructure. • Build internal libraries and DevOps guidelines to help Engineering squads own and maintain their infrastructure. • Craft and optimize our public APIs to provide a stellar developer experience to our technical customers. • Design and maintain robust data pipelines and platforms used by both internal teams and external customers. • Research and develop technical solutions and best practices that improve squads' development, release and maintenance experience. • Collaborate with all development squads.