GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. 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. An overview of this roleAs a Principal Database Engineer, you’ll design and lead the evolution of the PostgreSQL backbone that powers GitLab.com and thousands of self-managed enterprise deployments. You’ll solve critical challenges around uncontrolled data growth, complex upgrades and migrations, and always-on reliability at global scale, creating the database patterns and platforms that keep GitLab fast, resilient, and cost efficient as usage grows. You’ll architect scalable, distributed database solutions, build proactive health and reliability frameworks, and drive adoption of modern database technologies and data stores that improve both product capabilities and production stability. Working hands-on in the codebase and partnering closely with product and infrastructure teams, you’ll turn long-term database strategy into incremental, customer-visible improvements, shift incident response from reactive to proactive, and help define GitLab’s next-generation data architecture, including sharding and multi-database support. What you’ll do - Lead the architecture and strategy for GitLab.com's PostgreSQL infrastructure, designing scalable, resilient solutions for both SaaS and self-managed deployments. - Build proactive database health and reliability frameworks using continuous monitoring, automated remediation, and predictive analytics to prevent customer-impacting incidents. - Drive database best practices across engineering by guiding schema design, migrations, and query optimization, and by creating self-service tools and guardrails for product teams. - Own end-to-end observability for database systems, designing symptom-based monitoring, leading incident response, and turning learnings into automated, repeatable workflows. - Shape the evolution of GitLab’s database platform by evaluating and implementing modern database technologies and data stores that improve reliability, performance, and product capabilities. - Design solutions and patterns that address uncontrolled data growth, cost efficiency, sharding, multi-database support, and other next-generation data architecture needs. - Collaborate closely with product and infrastructure teams to align product decisions with platform constraints and priorities, breaking down long-term goals into incremental, customer-visible outcomes. - Contribute directly to the codebase to prototype and ship working solutions, maintain technical credibility, and deep-dive into complex production issues when needed. What you’ll bring - Experience architecting, operating, and optimizing PostgreSQL in large-scale, distributed production environments with high availability and disaster recovery requirements. - Deep knowledge of PostgreSQL internals, including the query planner, write-ahead logging, vacuum processes, and storage engine behavior. - Background designing and maintaining highly distributed database platforms with automated failover, robust monitoring, and self-healing capabilities. - Hands-on coding skills and comfort working across the stack, from low-level database and search systems to backend and frontend services. - Familiarity with infrastructure-as-code, GitOps practices, security hardening, and site reliability engineering principles applied to database operations. - Ability to debug complex, cross-system issues, translate findings into durable technical solutions, and turn incident learnings into repeatable automation. - Experience influencing technical direction across multiple teams, providing practical guidance on migrations, query optimization, and database best practices. - Openness to collaborating with people from diverse technical backgrounds, with a focus on clear communication, shared ownership, and learning transferable skills. About the teamData Engineering and Monetization is a function within the Engineering organization with a mission to build a comprehensive foundation of data platforms with responsible data architecture that scales. We focus on the databases and data systems that power GitLab.com and self-managed deployments, partnering closely with product and infrastructure teams across regions in an all-remote, asynchronous way. As part of this group, you’ll help shape how we handle data growth, reliability, and modernization of our database platform, creating patterns and tools that other engineering teams can adopt. For more on how we work, see the Team Handbook Page. 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 $157,900—$338,400 USD How GitLab will support you - 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 - Home office support 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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to lead the design and implementation of scalable Customer Data Platform (CDP) architectures for high-impact clients. The Lead CDP Architect will collaborate closely with cross-functional teams including Data Engineers, Data Scientists, and Marketing professionals to translate business requirements into robust technical solutions. You will focus on delivering secure, governed, and efficient data pipelines while optimizing client data platforms for activation and analytics. This position balances strategic planning, hands-on technical execution, and client-facing consulting. Ideal candidates thrive in dynamic, collaborative environments, bringing both deep technical expertise and strong communication skills to drive client success. You will shape the future of data-driven marketing for enterprise clients and ensure long-term value from their CDP investments. - Serve as a subject matter expert in real-time Customer Data Platforms, guiding architecture, implementation, and data strategy. - Assess clients’ current marketing technology and data infrastructure, identifying gaps and opportunities. - Architect scalable, secure, and governed RTCDP implementations tailored to client needs. - Translate business objectives into detailed technical specifications and implementation plans. - Lead technical delivery efforts, providing guidance and mentorship to Data Engineers and cross-functional teams. - Promote best practices in data governance, privacy, and security throughout the information lifecycle. - Support clients with integration, activation, and adoption of CDP features to maximize ROI. Qualifications - 5+ years of experience designing and building data pipelines and scalable architectures. - 3+ years of experience in a client-facing or consulting role, ideally within an agency or professional services environment. - Hands-on experience configuring Adobe Experience Platform RTCDP, including schemas, identity resolution, data ingestion, and destination connections. - Experience with Adobe Tags (Launch), AEP WebSDK, APIs, and integration with cloud platforms (AWS, GCP, Azure). - Strong understanding of modern data infrastructures, including data warehouses (Redshift, BigQuery, Snowflake) and analytics tools (Tableau, PowerBI). - Knowledge of marketing automation, Adobe Target, or related customer engagement technologies is a plus. - Expertise in data governance, privacy regulations (GDPR, CCPA), and security best practices. - Degree in Computer Science, Data Science, Analytics, or related field, or equivalent professional experience. Benefits - Competitive salary with equity opportunities. - Comprehensive healthcare coverage for you and your family. - 401(k) plan with employer match. - Flexible remote work environment. - Paid time off, holidays, and parental leave. - Professional development and learning resources. - Employee referral programs and team-building activities. - Supportive, collaborative, and inclusive workplace culture.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Join our IT team as a contract to hire Data Engineer III. The role requires deep technical expertise in data governance, engineering, and architecture, as well as a strong collaborative approach to solving complex data challenges. This role ensures that data systems are high-performing, secure, and aligned with business goals. - Design and implement data orchestration processes. - Develop data models and ensure data quality, security, and integrity across various data sources. - Leverage Microsoft Azure Fabric and other tools to build and manage data lakes and real-time data streaming solutions. - Optimize data storage and retrieval, ensuring efficient data processing. - Implement best practices for data governance and security. - Develop and optimize scalable data architectures and implement data-driven analytics solutions. Qualifications - Bachelor’s degree in computer science, software engineering, data science, or a related field, or equivalent combination of education and experience. - Minimum of 5 years of experience as a data engineer or in a related field working with ETL/ELT, SQL, Python, Azure, and Microsoft Fabric. - Microsoft Fabric Data Engineer Associate Certification or other similar certification. - Strong technical expertise in Microsoft Fabric, Azure Synapse Analytics, or other cloud-based analytics platforms. - Solid programming experience with SQL and Python, with a proven track record in designing and implementing data pipelines and ETL processes. - Strong analytical and problem-solving skills to troubleshoot and optimize data workflows. - Attention to detail, commitment to follow through, and ability to work independently. - Ability to multi-task, prioritize workload, set priorities, and manage multiple projects and assignments. - Excellent verbal and written communication skills, as well as strong interpersonal skills. - Ability to build and maintain strong working relationships, demonstrate professional courage, and guide and influence others. - Must be US Person per client requirements. Requirements - Familiarity with big data technologies and frameworks such as Spark. - Experience with business intelligence tools like Power BI. - Strong understanding of data security, compliance, and governance best practices. Benefits - An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to design, build, and operate large-scale data services that power critical healthcare applications and APIs. The Senior Software Engineer will work on high-volume, complex data pipelines, collaborating across engineering and product teams to deliver reliable, scalable, and cost-efficient solutions. You will tackle operational challenges, optimize data processing workflows, and contribute to platform evolution while ensuring data privacy and regulatory compliance. This position involves working with state-of-the-art technologies, including cloud data warehouses, streaming pipelines, and modern data frameworks, in a fast-paced startup environment with mission-critical impact. Ideal candidates are innovative, collaborative, and motivated by open-ended technical challenges that directly improve healthcare outcomes. - Build, operate, and maintain scalable data services that drive applications, APIs, and data products. - Collaborate with engineering and product teams to prototype, develop, and deploy new functionality. - Ensure high data quality, accuracy, and freshness across large-scale datasets. - Implement and optimize streaming pipelines and batch processing workflows using modern data technologies. - Contribute to platform reliability, performance, and operational stability at scale. - Stay current with emerging tools and technologies to improve efficiency and innovation in data services. - Participate in cross-functional initiatives to enhance the platform’s functionality and compliance with regulatory requirements. Qualifications - Proven experience designing, developing, and operating operationally stable, scalable, and cost-efficient data services. - Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks. - Strong programming skills in Go, Python, or similar languages. - Familiarity with data processing technologies such as Apache Spark, Apache Iceberg, dbt, or equivalent. - Knowledge of deployment technologies (GitHub Actions, CircleCI), cloud platforms (AWS, Azure, GCP), and Infrastructure as Code (Terraform, CloudFormation). - Experience working with large-scale datasets and distributed systems. - Strong problem-solving, collaboration, and communication skills, with the ability to thrive in a startup environment. - Experience with healthcare data and APIs, familiarity with FHIR and/or TEFCA standards is a plus. Benefits - Competitive compensation including base salary and equity. - Comprehensive health insurance and wellness benefits. - 401(k) plan with company match. - Unlimited Paid Time Off and flexible work arrangements. - Opportunity to work with a passionate team driving innovation in healthcare technology. - Exposure to cutting-edge data technologies and mission-critical projects. - Collaborative and supportive startup culture that encourages learning and growth.