• Design, build, and maintain scalable, cost-effective cloud infrastructure across AWS and Fly.io. • Own deployment strategy and service design across our monolith and microservices, including schema migrations and rollout safety. • Manage infrastructure-as-code (Cloudformation, Terraform or equivalent) for reproducible, auditable infrastructure. • Identify reliability risks, performance bottlenecks, and security gaps — and address them proactively. • Evolve our observability stack — logging, distributed tracing, metrics, and uptime monitoring. • Evolve on-call practices and incident response processes that keep us ahead of customer-impacting issues. • Champion a culture of reliability: postmortems, runbooks, and continuous improvement after incidents. • Manage and improve our CI/CD pipelines (GitHub Actions) and establish deployment best practices. • Build internal platform tooling and abstractions that reduce toil and increase engineering velocity. • Partner with product engineers to make infrastructure easy to use correctly and hard to use incorrectly. • Design and operate data pipelines that support our ML-powered verification systems. • Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and repeatedly. • Work closely with engineering and product leadership on technical roadmap decisions. • Review code, mentor peers, and help raise the bar on security, reliability, and operational discipline. • Communicate infrastructure tradeoffs clearly across technical and non-technical stakeholders.

• You will be directly involved in the design and implementation of the core feature set of Apache Ozone and Apache Ratis (open-source RAFT implementation). • You will also contribute to HDFS; the development of HDFS which is one of the most widely deployed distributed storage systems in the world with over a thousand Cloudera customers. • This is a unique opportunity to be a part of building a brand new distributed storage system and have a huge impact on the big data and cloud computing industry.

• Design and code — setting standards and ensuring quality • Lead self-organized teams in diverse and exciting client projects • Varied, challenging projects in the banking and insurance sectors • Develop a range of software solutions across the projects' technology stacks • Continuous professional development combined with new technologies • A supportive environment to leverage and grow your strengths • Solve technical and conceptual challenges

• Build AI agents that take actions inside Raspberry's design platform — triggering generations, chaining outputs across creative AI tools, and orchestrating multi-step workflows • Design the orchestration and tool abstraction layer that exposes Raspberry's creative AI tools as agent-callable actions • Architect end-to-end agentic workflows for batch design operations (e.g., sketch → render → colorway → on-body → tech flat) • Build conversation, review, and approval interfaces that keep designers in control of agent-driven outputs • Evaluate and integrate agent frameworks and LLM capabilities to find the best approaches for our domain • Collaborate closely with ML engineers, product, and design to shape the roadmap for AI-powered creative workflows