Fleet Care Assistant (m/f/d)

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.

Databricks

RDQ127R176 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 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. Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics.  The impact you will have: * Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps. * Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement. * Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines. * 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. * Extensive experience building and maintaining distributed systems. * Security first mindset. * Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity. * Motivated by delivering customer value and impact. * 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.

Monumental

Monumental is automating on-site construction with robotics and software. Our mission is to make construction software-defined and autonomous - a future where beautiful, bespoke buildings go up in a single day, with minimal labour. We're a growing team of engineers, operators and technicians from companies like Palantir, Qualcomm, Dyson, Shopify, Tesla, Meta and Google DeepMind. It's still the early days of building the company, and this is a chance to make an outsized impact on a problem that matters. From day one, you’ll be working with an experienced founding team, backed by a $32M Series B led by Khosla Ventures and Plural. Monumental is based in the city centre of Amsterdam, in a beautiful facility with an fully equipped workshop and robot testing floor. We build the whole stack in-house - hardware and software, we're explicitly not a hybrid or remote-first company - you can't build robots or walls from home, so we're onsite five days a week.   Read more on why we believe you should spend your time working on construction, and learn about our vision and company. You might enjoy Based in Europe’s film on how we’re fixing Europe’s housing shortage, or this video by Andreas Klinger of what our office looks like. About the role Monumental are already deploying robots into the real world at scale, building beautiful, bespoke homes. Our robots are on sites across the Netherlands and the UK and will be in the US within a year. Every deployment teaches us something about our hardware; you’ll push our R&D fleet to become one ready for large-series production: you'll own taking us from tens of robots a year to hundreds, and then thousands. You'll also keep that growing fleet deployable, and making design changes yourself to improve reliability and serviceability. Scaling a fleet means solving whatever is in the way: limited space, no clear production process, lead times we can't live with and modules that don't survive the harsh conditions of a construction site. You’ll be expected to wear many hats; we’re looking for people who are genuinely excited to lead these efforts. Our robots are built from modules at every level of maturity, so expect to work with the hardware R&D team at early stages of development to validate R&D designs as fast as we can. In parallel, you'll be in the workshop determining how we assemble them: the processes, the fixtures, the production space itself, getting the very best out of our Amsterdam facilities. For more context on building hardware at Monumental, read Niall’s Substack: I quit my job and moved country to make robots that will fix Europe’s housing crisis. What you'll do * Bottom line, you'll own increasing our quarterly production from 30 sets of robot systems to 100 within a year. This is a challenge. You'll be building the production capabilities at Monumental rather than inheriting them, and you'll do it alongside engineers and technicians who care a great deal about getting this right. * Take prototypes through to production-ready modules. Find and address design flaws, validate improvements, and push these modules to production. * Assembling modules, understand the friction slowing production, and address issues yourself along with the hardware team. * Develop fixtures, jigs and light automation solutions to support module assembly. * Find production processes that bring minimal value when done in-house. Work with external suppliers to outsource them, while maintaining production quality. * Produce drawings, assembly instructions and quality checks to make sure our modules are integrated together and our robots are brought up with no errors. What we're looking for * Industry experience, ideally in a VC-backed start-up, transitioning products from prototype to production * Hands-on, analytical mindset: skilled at building assemblies, running studies, analysing data, solving production and quality issues, and collaborating with technicians to implement and validate improvements * Proficiency in mechanical assembly (press fits, fastener selection, harness, etc.) * Strong knowledge of GD&T and producing 3D and 2D drawings * Experience creating structured process documentation (work instructions, SOPs, quality checklists) * Good communication skills in English, both written and spoken Nice-to-haves * BSc in Mechanical, Electrical, Manufacturing or Industrial Engineering, or equivalent * Familiarity with robotics or complex electromechanical systems * Experience with ERP tools (Odoo or similar) Why Monumental? Joining Monumental means being at the forefront of a movement aimed at making significant strides in the construction industry. Here, your work has the potential to impact not just the company but the future of how we build. If you're driven by innovation, eager to tackle complex challenges, and ready to make a tangible difference, we want to hear from you.   For open applications (where you don’t see an exact role match), please reach out to us at: iwanttojoin@monumental.co - share with us the most interesting or challenging project you’ve worked on, why you want to join and your CV or portfolio.   Unfortunately we do not currently support internships.   If you don’t meet all the qualifications here but are excited about Monumental and feel you’d still be able to help us solve difficult problems, do get in touch. We welcome generalists who focus on outcomes and are eager to learn on the job.