Senior/Staff Software Engineer, AI

ABOUT ENGINEERING AT FONOA Engineering is central to how we build the business. We focus on solving real customer problems, not just shipping features. We work in small, high-trust teams, with full ownership across the lifecycle, from design to production and beyond. We value: * Ownership – engineers own what they build end-to-end * Simplicity – we break down complex problems into clear solutions * Thinking Big - we innovate with modern technologies (LLMs, AI Agents, etc.) to solve meaningful problems * Quality – scalable, maintainable systems are non-negotiable * Speed & iteration – we ship fast, learn, and improve continuously * Collaboration – we win as a team, not as individuals POSITION OVERVIEW As a Staff Engineer, your role is to improve the system as a whole, both technically and organizationally. You will work on ambiguous, high-impact problems, shape technical direction across teams, and help others build better systems. Your impact comes less from the code you write, and more from how you influence decisions, design, and execution at scale. WHAT YOU WILL DO * Take ownership of complex, cross-team problems that are not clearly defined * Define technical direction and drive system design across domains * Identify and address systemic issues and opportunities early * Simplify complexity through better architecture, patterns, and structure * Improve how teams build by raising standards, tooling, and practices * Mentor engineers and contribute to hiring and team growth * Ensure systems are reliable, scalable, and built for long-term evolution WHAT GOOD LOOKS LIKE * You focus on high-leverage problems and shape how they are approached * You create clarity in ambiguous situations and align teams around it * You improve not just code, but how teams design and build systems * You make others more effective through guidance, feedback, and direction * You operate with long-term thinking, balancing today’s needs with future scale * You adopt emerging AI technologies and create a culture of innovation in your teams At this level, you are expected to “make the whole system, and the people in it, better.” WHAT WE’RE LOOKING FOR * Strong experience designing and operating scalable backend systems * Proven ability to work on ambiguous, high-impact problems * Track record of influencing technical decisions beyond your team * Ability to balance speed, quality, and long-term maintainability * Experience mentoring engineers and improving team practices * Fostering a culture of curiosity and experimentation API DOCUMENTATION For engineers, API design and structure are an important part of evaluating a role. You can explore our API and how we build products here: https://docs.fonoa.com/ TECH STACK We use these technologies today, but we don’t hire for specific tools. We care about engineers who can understand problems, make good technical decisions, and choose the right tools for the job. * Backend: Node.js, Go * Frontend: React, TypeScript * Infrastructure: GCP, k8s, Terraform, Postgres Note: If you don’t think you have the full experience we’re looking for, but you could be a fit and are willing to learn, do apply anyway! We are building a diverse and inclusive team. As part of the recruitment process at Fonoa, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.

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.