
Databricks · Remote - India
CSQ427R195 As a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the...
As a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data
challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored
solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients.
You come with a strong product development mindset and deliver robust and scalable automation utilities that can be adopted by
multiple customers across the domains. You bring in a strong AI focused problem solving skills yet secure and proven guardrails
that can be leveraged by the customers across different sectors.
building production-ready efficient, robust and scalable tools and technologies.
build, and deployment of cutting-edge big data and AI applications.
of Databricks solutions.
continuous product improvements.
standards, proactively identifying and mitigating risks, and building strong customer trust.
post-sales, technical architecture or consulting role
projects.
long in the GenAI world
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.
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. STAFF FORWARD DEPLOYED ENGINEER, AGENTIC SDLC AN OVERVIEW OF THIS ROLE GitLab’s Forward Deployed Engineering team is a field-situated product engineering function focused on strategic customer outcomes, artificial intelligence (AI) adoption, and direct contributions to GitLab’s product. This isn't a traditional field engineering, solutions architecture, or professional services role. As a Staff Forward Deployed Engineer, you'll work closely with customers while maintaining the technical standards and contribution discipline of a Staff-level product engineer. You'll work where strategic customer urgency, complex technical ambiguity, and GitLab product execution intersect. You'll partner directly with strategic customers and teams across Product, Engineering, Support, Site Reliability Engineering (SRE), Solutions Architecture (SA), Customer Success Architecture (CSA), Customer Success Management (CSM), and Professional Services. You'll diagnose and resolve high-impact adoption blockers, contribute production-quality fixes and features, and turn what you learn into repeatable patterns for GitLab and its customers. WHY THIS ROLE EXISTS Strategic customers sometimes encounter challenges that are too broad, deep, urgent, or cross-functional for any single team to own from start to finish. These challenges may involve product gaps, performance degradation, scale bottlenecks, AI governance, adoption blockers, architectural constraints, Git usage patterns, continuous integration and continuous delivery (CI/CD) complexity, application programming interface (API) automation, security requirements, or operational instability. Forward Deployed Engineering provides technical stewardship in these moments. The team doesn't simply observe, report, or escalate. You'll engage directly, diagnose the underlying technical problem, collaborate with the right teams, contribute code or technical solutions where appropriate, and transition the outcome into normal ownership once the customer is stable and the learning can be reused. WHAT YOU’LL DO PRODUCT CONTRIBUTION * Contribute production-quality code to GitLab’s product and adjacent systems. * Develop bug fixes, features, integrations, tooling, and performance improvements when strategic customer outcomes require direct engineering work. * Work within GitLab’s product and engineering processes, including issue discovery, merge request creation, testing, review, documentation, and maintainability. * Partner with Product and Engineering so customer-driven solutions support long-term product direction rather than becoming one-off customizations. * Turn blockers discovered in the field into durable product improvements, reference architectures, documentation, and repeatable implementation patterns. STRATEGIC TECHNICAL STEWARDSHIP * Engage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk. * Diagnose complex problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments. * Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, Professional Services, and customer technical teams to drive resolution from discovery through handoff. * Provide recommendations grounded in data, traces, and systems analysis to improve GitLab usage, workflows, automation, and architecture. * Create durable outcomes without establishing permanent dependency on Forward Deployed Engineering. AI ADOPTION AND AGENTIC SOFTWARE DEVELOPMENT LIFECYCLE * Drive governed, measurable, and production-oriented adoption of GitLab Duo Agent Platform with strategic customers. * Identify and resolve AI adoption blockers involving governance, usage controls, auditability, security, compliance, operating models, workflow design, and integrations. * Develop customer-safe adoption patterns for the agentic software development lifecycle (SDLC), AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery. * Partner with Product, Engineering, Field, and Customer Success teams to turn AI adoption learning into reusable guidance and product improvements. THOUGHT LEADERSHIP * Create technical narratives grounded in customer experience and product reality that can help shape the industry’s approach. * Contribute to Well-Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks. * Guide ideas through discovery, formulation, validation, amplification, and adoption across GitLab. * Partner with SA, CSA, Product, Engineering, Marketing, Product Marketing Management, CSM, Support, and executive stakeholders to make technical thought leadership a shared company capability. WHAT YOU’LL BRING * Staff-level experience building, operating, or improving complex production software systems. * Experience contributing to large, mature product codebases with high standards for testing, maintainability, performance, and security. * Strong Ruby on Rails or Go experience and the ability to contribute directly to GitLab’s product and adjacent systems. * Experience with AI-assisted software development, agentic workflows, AI governance, model evaluation, context management, prompt and workflow design, or AI adoption in enterprise environments. * Experience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns. * Deep knowledge of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, compliance needs, and enterprise software delivery. * Experience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations. * The ability to coordinate across product, engineering, field, and customer teams without formal authority. * Strong written communication and sound judgment, including the ability to create technical narratives and distinguish reusable product work from customer-specific customization. STRONGLY PREFERRED QUALIFICATIONS * Direct experience with GitLab as a platform, including GitLab.com, GitLab Dedicated, or GitLab Self-Managed. * Production experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, or observability tools. * Deep familiarity with Git internals, repository performance, large-scale Git usage patterns, or GitLab Runner behavior. * Experience creating technical thought-leadership materials, such as whitepapers, technical talks, architecture frameworks, requests for comments, public technical writing, or internal strategy documents. * A background in performance engineering, site reliability engineering, platform engineering, infrastructure engineering, or distributed systems. * Experience working in open source or highly asynchronous engineering environments. TECHNOLOGIES AND DOMAINS Directly relevant technologies and domains include: * Ruby on Rails * Go * AI-assisted development and the agentic SDLC * PostgreSQL * Redis and Sidekiq * Git internals * GitLab CI/CD and Runner architecture * Kubernetes and containers * Terraform * Linux, networking, observability, and performance analysis * Vue and TypeScript * APIs and automation * DevSecOps governance, security, and compliance WHAT THIS ROLE IS NOT This role isn't: * A generic field engineering role. * A proof-of-concept factory. * A replacement for Solutions Architecture, Customer Success Architecture, Customer Success Management, Professional Services, Support, SRE, Product, or Engineering. * A customer-specific customization function. * Unbilled Professional Services. * A requirements-gathering role that only escalates to Product. * An AI evangelism role disconnected from product execution. SUCCESS MEASURES Success in this role may include: * Stabilizing strategic customer adoption or retention risks. * Fixing product bugs or contributing features. * Removing AI adoption blockers for strategic accounts. * Creating reusable implementation patterns and transitioning them to long-term owners. * Producing or enabling Well-Architected Frameworks, whitepapers, webinars, or technical narratives. * Resolving cross-functional customer challenges without creating permanent dependency on Forward Deployed Engineering. * Equipping Product, Engineering, Support, CSA, CSM, Professional Services, and SA teams with better guidance based on learning from the field. * Increasing adoption and effective use of GitLab capabilities, especially GitLab Duo and GitLab Duo Agent Platform, in targeted accounts. ABOUT THE TEAM The Forward Deployed Engineering team connects strategic customer needs with GitLab product execution. The team works directly with customers and across GitLab to resolve complex adoption challenges, contribute durable product improvements, and create reusable technical guidance. Its goal is to stabilize urgent situations, improve the product, and transition ongoing ownership to the appropriate team rather than create a permanent dependency. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range - IDEAL CANDIDATE PROFILE You're a Staff-level product or platform engineer who can operate in the field without becoming field-only. You're comfortable reading traces, writing production code, debugging architecture, discussing AI governance, leading a customer technical session, opening a merge request, outlining a whitepaper, and coordinating across teams to achieve a strategic customer outcome. You're not simply a strong communicator with technical awareness. You're a credible engineer with the judgment, presence, and narrative ability to turn customer reality into product contributions, adoption guidance, and company-level thought leadership. We welcome candidates with different backgrounds and levels of experience. Many successful candidates don't meet every qualification. If you're excited about this role, we encourage you to apply and let our recruiting team assess your application. HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
STAFF FORWARD DEPLOYED AI ENGINEER We're looking for a Staff Forward Deployed AI Engineer to lead the design, delivery, and adoption of AI/ML systems directly within client environments. This role is ideal for an experienced engineer who thrives on architectural decisions, can own systems end-to-end, and drives real outcomes at the intersection of technical depth and client partnership. In this role, you will embed with clients as a key technical leader, defining AI architecture, leading model development and optimization, and solving challenging integration problems in live enterprise environments. You'll parachute into in-flight work where reliability, security, and scalability are critical — and you'll be the person who makes it land. You'll raise the bar on how we build and deploy AI systems and help clients actually adopt and scale what we ship. # Why This Role Matters At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate. Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on. What You'll Do Craft & Delivery * Lead the design and implementation of complex ML/AI systems end-to-end within client environments, owning architecture decisions and driving solutions from research through production at scale * Build, deploy, and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment — often within existing client constraints * Diagnose and unblock integration challenges in live systems, adapting quickly to unfamiliar codebases, cloud environments, and organizational contexts * Set the standard for AI-forward engineering, using tools like Claude and Cursor with sophistication and helping both our team and client teams adopt them effectively Collaboration & Client Partnership * Embed directly with client teams, earning trust quickly and translating their business problems into AI system designs that actually work in their environment * Partner with product, engineering, and leadership — ours and the client's — to align technical direction with business outcomes * Translate complex AI tradeoffs, risks, and opportunities into clear narratives for technical and non-technical stakeholders * Lead design reviews and technical discussions, raising the bar for engineering rigor across both R&P and client teams Leadership & Influence * Define AI architecture and engineering standards for each engagement, bringing depth on tradeoffs, long-term implications, and responsible AI practices * Drive client adoption of AI systems post-delivery — identifying gaps in understanding, building enablement materials, and upskilling client engineers where needed * Mentor and grow junior and mid-level engineers, multiplying impact through coaching, code reviews, and pairing on hard problems * Take ownership of the most ambiguous and highest-stakes pieces of work, driving them through to production with care for reliability, cost, and safety What You'll Bring * 7+ years professional software engineering experience, with 4+ years focused on AI/ML systems in production and deep hands-on experience with generative AI development * Expert software engineering background (Python or similar) with strong design sensibilities for scalable, maintainable systems * Deep expertise with cloud platforms, including in-depth understanding of AWS services and AWS GenAI offerings * Proven track record designing and shipping complex agentic systems in production environments, including within client or enterprise constraints * Mastery of AI frameworks and orchestration tools * Strong experience with evaluation frameworks and observability tools for LLM apps, including building these capabilities where they don't yet exist * Deep understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling * Extensive experience building RAG pipelines: chunking strategies, embedding models, vector databases, and advanced retrieval techniques * API design experience, including architecting and integrating with internal and third-party services at scale * Advanced cost optimization expertise: token economics, caching strategies, model routing, quantization * Strong working knowledge of Docker and Kubernetes for containerized deployments * Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude Code and Cursor * Comfort operating in ambiguous, fast-moving client environments — adapting quickly, communicating clearly, and earning trust at the engineering level Our salary range is $177,375 – $209,625 USD
CSQ327R198 As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have: * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. * Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. * Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces. * AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. * Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. * Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions. * Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. 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.