An overview of this role

As the first Engineering Manager embedded the Upstream Studios organization at GitLab, you'll lead a focused team of Engineers responsible for two foundational surfaces: the Pajamas Design System, which powers the coherence of the entire GitLab product, and docs.gitlab.com, the documentation platform serving millions of GitLab users and contributors worldwide. 

This is a rare opportunity to define what engineering leadership looks like inside a design organization. You’ll report to the Chief Design Officer and partner closely with Product Design, Technical Writing, Localization, Marketing, Product Management, and Engineering leaders across GitLab. Critically, the design system is a contribution-based, company-wide platform that engineers across the entire organization depend on and actively participate in. Building those partnerships and making it easier for engineers everywhere to contribute to Pajamas will be central to your success. 

You’ll be a hands-on technical leader and people manager in equal measure: guiding architecture decisions, shaping contribution workflows, and helping a small, high-impact team do some of the most leveraged work at GitLab.

What you'll do

• Lead, mentor,and grow a high-performing team of engineers, working across the Pajamas Design System and the GitLab documentation site.
• Define and build the engineering practice within Upstream Studios–this is a new function and you’ll have real influence over how it takes shape.
• Guide architecture and technical decisions for the design system (components, tokens, patterns) and the docs site (performance, reliability, infrastructure, localization).
• Help others across the organization understand the strategic value of a well-maintained design system and documentation platform.
• Advocates for engineering quality: technical debt, accessibility standards, customer issues, security, and platform reliability.
• Collaborate with Product Design and Technical Writing to translate design and content needs into scalable technical solutions

What you'll bring

• Experience leading infrastructure, platform, or development teams, with a track record of building high-performing, values-aligned teams.
• Deep expertise in design systems–including design tokens, component architecture, accessibility standards, and contribution models.
• Excellent technical background, including professional experience with Git, docs-as-code, Hugo, accessibility and building and maintaining a design system.
• Experience of building and supporting multi-lingual sites and localization workflows at scale.
• Professional experience with JavaScript (Vue.js) and familiarity with Elasticsearch, Ruby/Go, AI tools, and continuous integration and continuous deployment (CI/CD) practices.
• Strong expertise in running and scaling large, consumer-grade platforms, with a focus on reliability, security, performance, and scalability.
• Proficiency in the English language, both written and verbal, sufficient for success in a remote and largely asynchronous work environment.
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions.
• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems
• Comfort working in a highly agile, intensely iterative software development process.
• Passion for open source and developer tools, with a commitment to GitLab's values, inclusive culture, and high-performance expectations.

About the team

Upstream Studios is the full-stack experience organization for GitLab. We imagine it, we design it, we document it, we ship it—partnering across product, engineering, and marketing to deliver a continuous deployment of quality.

We integrate research, design, frontend engineering, documentation, and brand into a unified delivery pipeline, shaping how customers experience GitLab from first impression to final deployment. For more information on how we work, see the Upstream Studios section of the GitLab Handbook.

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Nextjs for our front-end. Gitlab is used as a version control tool, issue tracker and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, flexible paid time off, and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, Github, Jenkins or similar).

Nice to have

• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Reporting line: Engineering Team Leader
• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser Interview
6. Executive Interview with VP of Engineering
7. Offer and Prior employment verification check

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

In Business Solutions, we are building apps that leverage Dataiku’s capabilities in data and AI, focused on key enterprise use cases that need their own, user-focused UI’s and flows. We do this for customers in verticals such as Manufacturing, Life Sciences and Finance, powering key processes within their business- and operating models. In short: our work truly is part of “everyday AI”!

How you’ll make an impact

• Build Innovative AI-Driven Applications: Design, develop, and deploy AI-powered applications that solve complex business problems, integrating Dataiku’s backend AI capabilities with user-centric, intuitive front-end interfaces.
• Work with Data Scientists and Industry Specialists: Collaborate with solutions engineers, data scientists, and industry experts to develop the best solutions for customers. Help define requirements and deliver state-of-the-art applications that meet user needs across different verticals such as finance, manufacturing, and life sciences.
• Empower Business Users: Create applications that allow expert users to work with large datasets and extract meaningful insights quickly and intuitively. Your goal is to bring complex data to life in the browser and simplify interactions with large-scale data sets.
• Drive Continuous Improvement: Take responsibility for the end-to-end lifecycle of applications—from PoC to production. Contribute to the maintenance and evolution of the tech stack and frameworks, and support new features and architecture improvements to ensure scalability and reliability.
• Collaborate Across Teams: Work closely with core teams to ensure high-quality, reusable components, provide best practices, and help make data scientists and business users autonomous in building solutions end-to-end.
• Contribute to Team Growth: Help mentor new team members, participate in interviews, and contribute to onboarding processes. Bring your expertise and enthusiasm to help grow a collaborative, inclusive, and innovative team culture.

What you’ll need to be successful 

• Full-Stack Development Experience: You have experience in full-stack software engineering, with experience taking an app from PoC to production. You are comfortable working across the stack—from the front-end user interface to the back-end infrastructure.
• Front-End Skills: Proficiency in modern reactive front-end frameworks like Vue.js (preferred), React, or Angular. You have a deep understanding of building user-centric, interactive web applications.
• Back-End Skills: Strong experience with backend development, especially with Python (FastAPI, Flask, etc.). You are familiar with RESTful API design and willing to adapt to Dataiku’s tech stack and best practices.
• Experience with Data-Intensive Applications: You understand the challenges of working with large datasets and designing high-performance, data-driven applications. Experience with analytics products or data platforms is a strong plus.
• Customer-Oriented Mindset: You have a strong focus on solving real-world problems for customers. You understand that building an effective product means diving deep into customer use cases, iterating based on feedback, and delivering the most relevant and efficient solutions.
• Curiosity: You are excited to learn, adapt, and take on new challenges. Whether it's discussing architecture, troubleshooting issues, or writing code, you are driven to make an impact and contribute to the team’s success.
• Tech Enthusiast: You’re genuinely passionate about AI and data-driven applications. You’re excited by the possibility of using cutting-edge AI technologies, like LLMs, to shape the future of business.

What does the hiring process look like?

• 45 min call with a Technical Recruiter
• Technical video interview with an Engineering Team Lead
• Take home assignment or Live Coding session
• 2 last interviews with VPs of Engineering

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

In Business Solutions, we are building apps that leverage Dataiku’s capabilities in data and AI, focused on key enterprise use cases that need their own, user-focused UI’s and flows. We do this for customers in verticals such as Manufacturing, Life Sciences and Finance, powering key processes within their business- and operating models. In short: our work truly is part of “everyday AI”!

How you’ll make an impact

• Build Innovative AI-Driven Applications: Design, develop, and deploy AI-powered applications that solve complex business problems, integrating Dataiku’s backend AI capabilities with user-centric, intuitive front-end interfaces.
• Work with Data Scientists and Industry Specialists: Collaborate with solutions engineers, data scientists, and industry experts to develop the best solutions for customers. Help define requirements and deliver state-of-the-art applications that meet user needs across different verticals such as finance, manufacturing, and life sciences.
• Empower Business Users: Create applications that allow expert users to work with large datasets and extract meaningful insights quickly and intuitively. Your goal is to bring complex data to life in the browser and simplify interactions with large-scale data sets.
• Drive Continuous Improvement: Take responsibility for the end-to-end lifecycle of applications—from PoC to production. Contribute to the maintenance and evolution of the tech stack and frameworks, and support new features and architecture improvements to ensure scalability and reliability.
• Collaborate Across Teams: Work closely with core teams to ensure high-quality, reusable components, provide best practices, and help make data scientists and business users autonomous in building solutions end-to-end.
• Contribute to Team Growth: Help mentor new team members, participate in interviews, and contribute to onboarding processes. Bring your expertise and enthusiasm to help grow a collaborative, inclusive, and innovative team culture.

What you’ll need to be successful 

• Full-Stack Development Experience: You have experience in full-stack software engineering, with experience taking an app from PoC to production. You are comfortable working across the stack—from the front-end user interface to the back-end infrastructure.
• Front-End Skills: Proficiency in modern reactive front-end frameworks like Vue.js (preferred), React, or Angular. You have a deep understanding of building user-centric, interactive web applications.
• Back-End Skills: Strong experience with backend development, especially with Python (FastAPI, Flask, etc.). You are familiar with RESTful API design and willing to adapt to Dataiku’s tech stack and best practices.
• Experience with Data-Intensive Applications: You understand the challenges of working with large datasets and designing high-performance, data-driven applications. Experience with analytics products or data platforms is a strong plus.
• Customer-Oriented Mindset: You have a strong focus on solving real-world problems for customers. You understand that building an effective product means diving deep into customer use cases, iterating based on feedback, and delivering the most relevant and efficient solutions.
• Curiosity: You are excited to learn, adapt, and take on new challenges. Whether it's discussing architecture, troubleshooting issues, or writing code, you are driven to make an impact and contribute to the team’s success.
• Tech Enthusiast: You’re genuinely passionate about AI and data-driven applications. You’re excited by the possibility of using cutting-edge AI technologies, like LLMs, to shape the future of business.

What does the hiring process look like?

• 45 min call with a Technical Recruiter
• Technical video interview with an Engineering Team Lead
• Take home assignment or Live Coding session
• 2 last interviews with VPs of Engineering #LI-Remote

Position Overview: 

As a Software Engineer I, you will contribute to building and improving our SaaS platform using a modern stack centered around Laravel (PHP). You will help develop secure, scalable, and maintainable backend services and APIs that directly impact our customers. In this role, you will not only build new features, but also play an active role in maintaining product quality by investigating issues, fixing bugs, and supporting the resolution of customer-reported problems. This gives you direct exposure to real-world usage of the product and helps you develop strong debugging and problem-solving skills. You’ll be part of architectural discussions, actively contribute to sprints, and gain exposure to the full product lifecycle. This role is perfect for someone early in their engineering journey who is eager to grow, experiment, and make a meaningful impact from day one, including exploring how AI tools can enhance development workflows and outcomes.

Key Responsibilities:

• Contribute to the development of features and APIs within our Laravel applications
• Take ownership of smaller user stories with guidance from more senior engineers
• Investigate, reproduce, and fix bugs reported by users or internal teams
• Support the customer support team by helping analyse and resolve technical issues
• Monitor and improve application stability and reliability
• Follow engineering best practices (code quality, testing, CI/CD)
• Use AI tools (e.g., GitHub Copilot, ChatGPT) to support coding, debugging, and learning while critically validating outputs
• Build an understanding of how your work impacts system behaviour and the end-user experience

Required Experience/Skills:

• 0–3 years of hands-on software development in an agile environment
• Experience with PHP, TALL stack (Tailwind CSS, Alpine.js, Laravel, Livewire) is a must
• Understanding of MySQL / MariaDB (relational databases), AWS cloud infrastructure, REST APIs and system integrations
• Familiarity with Git and version control workflows
• Exposure to front-end technologies (e.g., Vue, React, or Blade)
• Basic knowledge of debugging techniques and willingness to work on bug fixing
• Experience with Docker or containerised environments is a plus

AI & Growth Mindset

• Familiar with AI concepts such as large language models and generative AI
• Awareness of tools like ChatGPT or GitHub Copilot and their general use
• Understands that AI-generated outputs must be validated and are not always correct
• Willing to use AI tools to support debugging, issue analysis, and learning new concepts
• Aware of privacy and security considerations when using AI tools (e.g., not sharing sensitive data)

Your work environment:

• This is an on-site / hybrid role based in Amsterdam. Candidates must already be residing in the Netherlands
• A challenging fast-growing SaaS company where you can truly make an impact, while earning a good salary
• An inspiring office on the 13th floor of The Social Hub in Amsterdam (including gym, restaurant, and vibrant community events)

Position Overview: 
As a Software Engineer II, you'll take on a hands-on technical role in building and evolving our Third Party Risk Management (SaaS) platform using Laravel (PHP). You design and deliver scalable, maintainable backend services and APIs, and take ownership of features from implementation through deployment and monitoring. You’ll contribute meaningfully to our mission of making governance effortless for our customers, working in a team that owns its services end to end - from architecture and implementation to monitoring and continuous improvement. This role is ideal for a mid-level engineer who writes solid code, mentors others, and embraces AI-powered tools to work smarter and faster. You’ll guide junior engineers, shape architectural discussions, and help scale modern development practices, including responsible use of AI in workflows.

Key Responsibilities:

• Design, develop, and maintain features and APIs within our Laravel applications
• Own and deliver well-defined stories independently, with a clear grasp of team architecture, frameworks, and tools
• Improve application performance, scalability, and reliability
• Actively contribute to architectural discussions and technical decision-making
• Review code, uphold engineering standards, and contribute to testing and CI/CD practices
• Mentor and support junior engineers (Software Engineer I) through feedback and knowledge sharing
• Use AI tools (e.g., GitHub Copilot, ChatGPT) to improve productivity across coding, debugging, testing, and documentation while critically evaluating outputs
• Understand core LLM concepts (e.g., tokens, context length, hallucinations), recognize safe vs. unsafe use cases, and flag ethical, privacy, or cost concerns
• Identify and implement improvements that enhance developer experience and system stability
• Maintain healthy development flow by adhering to Agile processes and driving iterative enhancements

Required Experience/Skills:

• 3–5 years of professional software engineering experience in an agile, fast-paced environment
• Strong experience with PHP and Laravel, within the TALL stack (Tailwind, Alpine.js, Laravel, Livewire)
• Solid understanding of relational databases (MySQL / MariaDB), including query optimisation and data modelling
• Experience designing and building RESTful APIs and working with system integrations
• Practical experience with AWS or similar cloud platforms
• Proficiency with Git and collaborative development workflows
• Experience working with Docker or containerised environments
• Comfortable debugging production issues and working with logs, monitoring, and observability tools
• Working knowledge of frontend technologies (e.g., Vue, React, or Blade)
• Collaboration & communication: Comfortable discussing architectural decisions, documenting designs (potentially with AI assistance), and presenting technical ideas clearly.

AI & Engineering Maturity

• Practical experience using AI tools (e.g., GitHub Copilot, ChatGPT) in daily development workflows
• Ability to use AI for tasks such as debugging, test generation, documentation, and research
• Understands core AI concepts (e.g., LLM behavior, hallucinations, limitations)
• Critically evaluates and validates AI-generated outputs before applying them
• Aware of privacy, security, and data sensitivity when using AI tools
• Uses AI to improve efficiency while maintaining engineering quality and ownership

Your Work Environment

• This is an on-site / hybrid role based in Amsterdam. Candidates must already be residing in the Netherlands
• A fast-growing SaaS company where you can make a meaningful impact on both product and engineering, while earning a good salary
• A collaborative team with room for ownership, initiative, and technical growth
• An inspiring office on the 13th floor of The Social Hub in Amsterdam (including gym, restaurant, and vibrant community events)

Position Overview: 

As a Senior Software Engineer, you are responsible for driving the design, development, and scalability of our Third Party Risk Management (SaaS) platform built on Laravel (PHP). You play a key role in building new features and complex product capabilities, while ensuring high standards in performance, reliability, security, and maintainability. In this role, you’ll lead by example, owning services end-to-end from development to deployment and monitoring, driving architectural discussions, and mentoring others across the team. You’ll combine hands-on development with technical leadership; contributing to architectural direction, mentoring engineers, and continuously improving engineering practices. We’re looking for someone who is not only passionate about building great software, but also excited to explore how AI can unlock faster ways of working for themselves and their teammates.

Key Responsibilities:

• Design and own secure, scalable services within our Laravel applications, guiding technical decisions and evaluating trade-offs (including AI- driven components) to meet reliability, performance, and cost goals
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping, while rigorously validating outputs to ensure quality and safety
• Advise on appropriate AI use (model concepts, prompt patterns, ethical/privacy considerations), embed monitoring and compliance checks into workflows, and document residual risks and mitigations
• Coach peers on engineering best practices and AI-augmented approaches; partner with Product, Security, DevOps, and other teams to align on features, deployment, and compliance.
• Scout and pilot emerging tools or frameworks (including AI toolchains), integrate automated governance checks into pipelines, and enhance observability and incident response with an eye on productivity, cost, and resilience
• Diagnose and resolve high-impact production issues, performing root cause analysis and implementing long-term fixes
• Contribute to and guide architectural decisions and technical roadmap discussions
• Review code, uphold engineering standards, and improve testing and CI/CD practices
• Mentor and coach engineers (Software Engineer I & II), providing technical guidance and feedback
• Collaborate cross-functionally with product, design, and support teams to deliver high-impact features
• Improve observability, monitoring, and incident response processes
• Drive initiatives that improve developer experience and system health

Required Experience/Skills:

• 5-7 years of professional software engineering in an agile environment, delivering secure, scalable services.
• Deep expertise in PHP and Laravel, with experience delivering and scaling production features
• Strong experience with the TALL stack (Tailwind, Alpine.js, Laravel, Livewire)
• Advanced knowledge of relational databases (MySQL / MariaDB), including performance tuning and data modeling
• Solid understanding of frontend/backend interactions (Vue, React, or Blade)
• Solid experience with AWS or similar cloud platforms
• Understands high-level LLM concepts (e.g., hallucinations, prompt sensitivity) and safe vs. unsafe AI use cases.
• Experienced in using AI tools to accelerate coding, debugging, testing, and prototyping, with critical review of outputs
• Skilled in prompt engineering - designing reusable prompts and coaching peers
• Familiar with ethical/cost risks (bias, privacy, vendor lock-in) and embeds basic compliance checks into workflows.
• Applies security best practices in code and deployments (e.g., IAM, secrets management) and reviews AI- assisted suggestions for safety.
• Proven ability to mentor or guide peers on engineering best practices and AI-augmented workflows
• Strong experience designing scalable APIs and system integrations
• Proficiency with Docker and modern development workflows
• Experience owning features from concept to production

Your Work Environment

• A fast-growing SaaS company where you can have significant impact by building meaningful product features
• A high-ownership environment with room to shape both product and technical direction
• An inspiring office on the 13th floor of The Social Hub in Amsterdam (including gym, restaurant, and vibrant community events)

P-1320

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 solve 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.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 2+ years of experience with HTML, CSS, and JavaScript
• Passion for user experience and design and a deep understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
• Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
• Good knowledge of SQL
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
• Experience in architecting, developing, deploying, and operating large scale distributed systems

P-1321

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 solve 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.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 5+ years of experience with HTML, CSS, and JavaScript
• Passion for user experience and design and a deep understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
• Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
• Good knowledge of SQL
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
• Experience in architecting, developing, deploying, and operating large scale distributed systems