Member of Technical Staff (Backend & Infrastructure)

Jua

OVERVIEW Physical AI, a real model of the world, is the next trillion dollar opportunity and a foundational pillar for energy, robotics and superintelligence. At Jua we are building it now. Our models already run on four continents and help power the energy buildout needed to support ever larger intelligence. We are assembling a world-class team of researchers and entrepreneurial minds to turn this model into reality at global scale. If you want the opportunity of your life, come build physical AI with us. WHAT WE’RE LOOKING FOR We’re redefining earth simulation with machine learning, building a system that outperforms traditional models in speed, precision, and accuracy. Our team moves fast, leveraging a versatile tech stack and state-of-the-art cloud infrastructure to maximize performance and efficiency. We believe in using the right tools for the job, combining robust web technologies, advanced ML frameworks, and powerful numerical computing. With a focus on type-safe programming and infrastructure-as-code, we ensure scalability without excess complexity. As a Software Engineer, you’ll help shape our backend systems, pipelines, and cloud infrastructure. You’ll thrive in ambiguity, iterate fast, and turn ideas into working prototypes. If you have a hacker’s mindset, love building from scratch, and excel in lean, high-impact environments, we’d love to hear from you. Location: Although we are a global team, it is a requirement that applicants are currently based in Zurich, Switzerland, working on a Hybrid working model. OUR TECH STACK * Core Languages: Python is our go-to for backend development, data pipelines, and ML integration. Deep experience with modern Python is a must. We also have a light dusting of rust where performance is critical. * Data & Geospatial Libraries: We rely heavily on libraries like Xarray, Pandas, and Polars for numerical computing and geospatial data processing. Familiarity with these tools is a big plus. * Cloud & Infrastructure: We use a mix of multi-cloud (GCP, AWS, Cloudflare) and bare metal infrastructure, with tools like Pulumi for infrastructure-as-code. * ML Frameworks: We leverage popular ML libraries and frameworks to build and deploy models efficiently * Other Tools: While Python is our primary language, we believe in using the right tool for the job. You’ll have the freedom to introduce new technologies when they make sense. RESPONSIBILITIES AND TASKS * Build scalable systems: Design, develop, and deploy backend pipelines, services, and cloud infrastructure with a focus on speed, scalability, and pragmatism. You’ll work across the stack—from backend services to occasional front-end integrations and CI/CD pipelines—in a mixed multi-cloud and bare metal environment. * Help to shape our architecture and roadmap: Play a key role in defining how we build and scale. As an early senior engineer, you’ll influence technical strategy, optimize system design, and ensure long-term maintainability while moving fast. * Bring ML models to production: Work closely with ML engineers to deploy models that power real-world decision-making, ensuring performance, reliability, and usability for customers, including power traders. * Identify and tackle technical challenges: Address performance bottlenecks, refactor critical systems, and strike the right balance between rapid iteration and long-term stability. * Prototype and iterate quickly: Move fast, test ideas, and refine approaches with short feedback cycles to drive continuous improvement. NEED-TO-HAVE * Bachelor’s degree (or higher) in Computer Science or a related field. * 5+ years of experience in a Software Engineering role. * Strong experience with modern Python in large-scale production systems. * Ability to make pragmatic, fast-paced decisions while managing technical debt effectively. * Proactive in identifying problems, performance bottlenecks, and areas for improvement. * Nice-to-have: Exposure to Data Engineering or related experience. AT THE END OF YOUR FIRST 30 DAYS, YOU WILL HAVE * Deployed code to production: Created a pull request, merged it, and deployed iteratively, optimizing for progress rather than perfection. * Gained deep product immersion: Understood the “what” and “why” of the product, contributed to discussions, formed opinions and comfortably expressed them, and actively participated in team retros. * Worked independently on scoped components: Delivered isolated, limited-scope features, addressed feedback, and deployed quickly with minimal supervision, making confident decisions. * Engaged with Jua’s principles and values: Collaborated across teams and built independent working relationships. ABOUT YOU * You work in alignment with our operating principles. These principles guide how we make decisions, collaborate, and build at Jua. You embody them in your work, continuously evolving as we evolve, and integrating them into everything you do. * You take initiative and drive action. You proactively identify challenges and opportunities, taking ownership without waiting for direction. You thrive in an environment where autonomy and action lead to impactful results. Rather than waiting for permission, you step forward, solve problems, and drive meaningful change. * You are adaptable and resourceful. You’re comfortable navigating ambiguity, making data-informed decisions, and iterating as you go. Limited resources don’t slow you down—they inspire creative problem-solving. Whether working with evolving technologies or shifting priorities, you find a way forward and deliver exceptional outcomes. * You thrive in a fast-paced team. We work extremely hard to be the fastest in our field, speed and excellence are non-negotiable. You’ll be surrounded by overperformers in every discipline, and we expect the same from you. If you don’t consider yourself among the best in your field, Jua likely isn’t the right fit. * Our feedback culture is radically transparent and truth-seeking. This can be intense if you’re more used to comfort than candor, but for those who thrive on challenge, it’s an environment where you’ll grow fast and do the best work of your career. WHAT’S IN IT FOR YOU * Work on groundbreaking technology: Be at the forefront of weather forecasting and machine learning, contributing to innovations that push the boundaries of what’s possible. * Collaborative, remote-first culture: Join a dynamic, supportive team where your ideas matter, and work remotely with flexibility that fits your lifestyle. * Shape the future: Play a pivotal role in growing and evolving the backend of a product that’s rapidly advancing in a fast-paced environment. * Impactful industry: Work in the energy trading sector, using AI to drive real-world change and help shape the future of energy markets. Please note: We prioritise your answers to the application questions over your CV, so we encourage you to complete them as thoughtfully and thoroughly as possible. At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.

Databricks

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: * Solve real business needs at large scale by applying your software engineering. * Low level systems debugging, performance measurement, and optimization on large production clusters. * Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. * Introduce tools to allow greater automation and operability of services. * Use your deep experience to help prevent and investigate production issues. * Plan and lead complicated technical projects that work with several teams within the company. * Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: * 15+ years industry experience building and supporting large-scale distributed systems. * Comfortable working towards a multi-year vision with incremental deliverables. * Motivated by delivering customer value and impact. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience driving company initiatives towards customer satisfaction. * BS/MS/PhD in Computer Science or related majors, or equivalent experience.   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Jua

OVERVIEW Physical AI, a real model of the world, is the next trillion dollar opportunity and a foundational pillar for energy, robotics and superintelligence. At Jua we are building it now. Our models already run on four continents and help power the energy buildout needed to support ever larger intelligence. We are assembling a world-class team of researchers and entrepreneurial minds to turn this model into reality at global scale. If you want the opportunity of your life, come build physical AI with us. WHAT WE’RE LOOKING FOR We’re hiring a front-end–leaning full-stack engineer to help define and build the future of our platform. You should have a strong sense of design, deep empathy for users, and a general grasp of machine learning or the latest AI technologies. You don’t need to be a researcher or a math prodigy for this role, but we are specifically looking for candidates who approach problems from first principles and thrive in a culture that grants significant individual responsibility. We value people who are deeply curious about how systems fundamentally work—whether it's computers, satellites, AI, societies, or human psychology—and who are eager to collaborate with other exceptional individuals to broaden their perspective even further. You’ll thrive here if you’re driven to push the boundaries of the current state-of-the-art and expand human knowledge in forecasting and simulating the future. If you believe that hard work leads to outsized returns, enjoy taking ownership and building exceptional products, and have a talent for transforming complex systems into clear, fast, and elegant experiences, this is the place for you. Jua is currently evolving its core platform into two focused products: * A developer-focused API platform designed for integrators and quants to access our prediction models & data products for their daily trading operations. These users care about simple, smart and clean interfaces, low-latency data, and seamless integration via our SDK. * An AI-native product built for decision-makers like traders and meteorologists who want answers, not just data. Think of a geospatial reasoning layer for planet earth. This product uses agents based on language models to interact with our simulation models to deliver insights and decision support. You’ll simplify complexity for non-technical users while enabling technical users to work with precision and control. Location: Although we are a global team, it is a requirement that applicants are currently based in Zurich, Switzerland, working on a Hybrid working model. OUR TECH STACK * Frontend: TypeScript, React & Tailwind * Design: Ultra minimalistic, lightweight design system. For some time now, we've entirely skipped the classic Wireframe–Figma–Component workflow and just vibe code most frontend components directly. * Visualization: ECharts, Three.js, Mapbox, Plotly, Deck.gl for map-heavy and time-series UI * Backend: Python, FastAPI, WebSockets, gRPC endpoints, little bit of rust, Zarr & Clickhouse SQL db * ML Interfaces: Real-time inference, model metadata, probabilistic forecasts, & geospatial datasets RESPONSIBILITIES AND TASKS * Own and shape full features and products end-to-end to support multiple products, user personas, and evolving data needs by building reusable UI components * Build intuitive, high-performance UIs for both technical users and decision-makers with a focus on clarity and responsiveness * Develop rich interfaces for time-series, geospatial, and probabilistic data, turning raw model outputs into decision-support tools * Collaborate with researchers and engineers to make complex model outputs usable and understandable NEED-TO-HAVE * 4+ years of front-end engineering with React and TypeScript * Strong aesthetic sensibility and user-centered design mindset * Proven ability to ship fast, accessible, maintainable UIs at a high-quality bar * A desire to understand domain-specific workflows in energy, weather, or trading, and use that knowledge to build better interfaces * Exposure to data or ML APIs and eagerness to integrate model outputs into production UIs * Familiarity connecting React front ends to Python backends (FastAPI, WebSockets, gRPC) NICE-TO-HAVE * Experience building products for expert users in domains such as energy trading, quantitative finance, or ML-ops ABOUT YOU * You take initiative and drive outcomes. You don't wait for direction. You identify challenges and opportunities, take ownership, and act decisively * You’re pragmatic and resourceful. You're deeply technical and think clearly under pressure, but you prioritize progress over perfection. You work within constraints, solve real problems, and make smart trade-offs * You thrive in a fast-paced team. We work extremely hard to be the fastest in our field, speed and excellence are non-negotiable. You’ll be surrounded by overperformers in every discipline, and we expect the same from you. If you don’t consider yourself among the best in your field, Jua likely isn’t the right fit. * Our feedback culture is radically transparent and truth-seeking. This can be intense if you’re more used to comfort than candor, but for those who thrive on challenge, it’s an environment where you’ll grow fast and do the best work of your career. * You obsess over the user. You care as much about the “why” as the “how,” and you want to build tools people truly love to use WHAT’S IN IT FOR YOU * Own and ship fast. Work in a product culture where engineers drive decisions, move from idea to production quickly, and see their impact in days, not quarters. * Join a mission-driven company. Apply cutting-edge ML to global climate and energy challenges, an impact-first alternative to profit-only tech or finance roles. * Work on groundbreaking technology. Be at the forefront of weather forecasting and machine learning, contributing to innovations that push boundaries. * Collaborate in a high-agency team. Pair with experienced engineers and researchers in a hybrid environment that balances flexibility with in-person work. * Shape a meaningful industry. Build solutions for the energy-trading sector, using AI to drive real-world change and influence the future of global markets. Please note: We prioritise your answers to the application questions over your CV, so we encourage you to complete them as thoughtfully and thoroughly as possible. At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.