
Databricks · London
P-1514 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a realit...
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.
Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building
on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every
component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.
Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the
lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that
combine operational data, analytics, and AI. You'll join as one of the founding engineers to build out both the Lakebase product
and our London presence.
Lakebase Platform Reliability: Constantly evolving Lakebase Reliability. That includes cross-functional infrastructure,
observability, SLI/SLOs definition and measurements, as well as achieving higher operational efficiency without the need for
humans-in-the-loop (both internal and customer-facing), via building AI-powered automation and services
Lakebase Manager (LBM): Build and operate the central control plane that owns the core logic for Lakebase — database creation and
deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more. LBM interacts with every Lakebase
component — storage, compute, proxy, and console — managing the full database lifecycle at scale with a focus on reliability.
Lakebase Proxy: Build the heart of the Lakebase data path — the network edge that every customer touches. The proxy handles all
client connections and transfers every byte of query traffic, serving every data protocol: Postgres, HTTP, WebSockets, and Data
API. We route and manage large volumes of concurrent connections, solving load balancing, authentication, and data access at high
throughput. We focus on performance, observability, and reliability to ensure the data path is fast and resilient.
Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:
workflow orchestration, and developer experience.
cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.
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.
At Ledgy, we’re on a mission to make Europe a powerhouse of entrepreneurship by building a modern, tech-driven equity management and financial reporting platform for private and public companies. In 2026, we aim to be the leading provider for European IPOs and reporting for share-based payments. We are a value-based company with a core focus on being humble, transparent, ambitious and impactful, all in order to delivery the best experience for our customers and end users. We are proud to partner with some of the world’s leading investors. New Enterprise Associates led our $22m Series B round in 2022, with Philip Chopin joining Sequoia’s Luciana Lixandru on our board. We were founded in Switzerland in 2017 and today we operate globally from offices in Zurich and London. We encourage diversity and are an international team coming from 26 different countries and speaking 25 different languages. About the Role As a Senior/Staff Software Engineer at Ledgy, you’ll design and build elegant, scalable systems that power how companies manage their equity. You’ll collaborate with fellow engineers (based mainly in Zurich and London), product managers, and designers to develop industry-leading automation and experiences — while many in our space still rely on manual processes. In the first 30 days: * Be paired with an onboarding buddy who will introduce you to the world of equity management * Get to know our engineering team, product managers, and designers * Understand how your team’s surface area connects to the broader Ledgy platform * Start contributing to the codebase with the guidance of experienced team members In the first 3 months: * Ship independently on impactful product features and improvements * Participate in architecture discussions around scaling workflows, data models, and integrations * Work alongside other engineers to implement robust, reliable data flows * Develop a deep understanding of how companies manage and automate equity * Participate in code reviews and help maintain our engineering standards In the first 6–12 months: * Take ownership of key features and improvements within your team’s domain * Help shape the technical direction and architecture of Ledgy’s equity platform * Collaborate with Product and Design to deliver polished, user-centric experiences * Mentor other engineers and share expertise in automation, data modeling, and scalability Teams we’re hiring for Core Equity — Owns the foundational logic that powers Ledgy’s equity engine. Every equity-related event such as issuing shares, creating new pools, or adjusting ownership — generates transactions. This team defines and maintains the transaction logic, data model, and core domain behaviour that ensure Ledgy’s platform remains accurate, scalable, and compliant. Workflows & Automation — Focuses on automating complex equity workflows and integrating with third-party services, including the trading exchange. The team builds systems that help company admins efficiently onboard and offboard employees, automate equity grants and terminations, and enable employees to sell their shares seamlessly once vested. Reporting — Transforms Ledgy’s core equity data into financial, operational, and compliance reports. The team manages large, complex datasets and ensures reporting is accurate, performant, and reliable across jurisdictions and company structures. Their work powers the insights companies and auditors rely on for decision-making and transparency. The job is a good fit if: * You have 7+ years of experience working as a Software Engineer * You're excited about the impact of equity on entrepreneurship and its real-world impact for companies * You enjoy tackling complex financial data transformations and compliance requirements * You enjoy writing clean, maintainable TypeScript code, both in the backend and frontend * You are excited to work with React, NodeJS, and MongoDB * You thrive in collaborative environments and enjoy pair programming * You take pride in creating robust, tested solutions for critical business operations Being part of Ledgy means: * Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country. * We make space for your own professional development, with a generous yearly learning & development budget. * This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling. * For candidates based in London or Zurich we use a hybrid work model of 1 day in the office per week. Our tech stack: We have a modern, cohesive stack that lets us move fast while maintaining quality: * Language: TypeScript * Frontend: React, Tailwind CSS, tRPC * Backend: tRPC, Node.js, MongoDB * Infrastructure: GCP, Terraform Cloud, Kubernetes, Docker, Github Actions The interview process: * CV Review: we review your resume to see if we might be a good fit * Getting to know you (30 min): meet with someone from our people team to talk about your experience and to answer questions about the role * Live Coding (75 min): We'll present you with an equity domain problem to solve collaboratively using your preferred language and IDE * System Design (60 min): You'll walk us through an architecture you've significantly contributed to in the past, and we'll explore different aspects based on your experience * Culture Interview: A chance to meet one of our founders for a 30 minute chat about Ledgy’s mission and values * Offer 🎉
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.
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a talented Software Engineer to join our X Money team, focused on building a revolutionary global payment network that will serve over 600 million users and rival the world’s largest financial institutions. In this role, you will specialize in backend development, designing and optimizing robust microservices to ensure scalability, security, and reliability. You will support full-stack efforts, collaborate with cross-functional teams on payments, fraud detection, and compliance initiatives, and contribute to the creation of a high-scale financial products platform. This is an opportunity to work on greenfield projects in a fast-paced, startup-like environment, driving innovation at the intersection of AI and finance. RESPONSIBILITIES: * Develop backend services, APIs, and data models to support high-volume, multi-user environments. * Work with iOS, Android & Web client engineers to ship products. * Design robust infrastructure and microservices for payments, transactions, growth, monetization, and engagement across platforms. * Build and maintain fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real-time analytics. * Lead architecture, scalability, and reliability decisions for high-concurrency, low-latency systems. * Uphold engineering excellence via testing, monitoring, deployment, and secure data handling. BASIC QUALIFICATIONS: * Proficiency in distributed systems for high-scale, low-latency environments; languages like Rust, Go, Python & Java, and high volume streaming systems. * 2+ years of experience working on large scale consumer applications. PREFERRED SKILLS AND EXPERIENCE: * 5+ years of experience working on large scale consumer applications or early-mid stage startup experience as a founding engineer, emphasizing rapid prototyping, user-centric design, and AI solutions. COMPENSATION AND BENEFITS: £107,000 - £262,000 GBP Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive healthcare and dental coverage, cash plan, income protection, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.