Intermediate Backend Engineer - Platform Integrations (Monetization)

Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number.   What to know: * Commvault does not conduct interviews by email or text. * We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com [wwrecruitingteam@commvault.com]    About Commvault  Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data.  Business Systems Analyst (BSA) : (GTM & Revenue Operations) AI-Driven Delivery Model | Value Stream Aligned The Opportunity: We are seeking an experienced AI-forward Business Systems Analyst to support our global GTM and Revenue Operations organization. This role operates within an AI-Driven Delivery Model transforming the BSA function from a reactive requirement-taker into a strategic facilitator, business translator, and value-stream orchestrator. The ideal candidate leads with business outcomes, surfaces AI and automation opportunities, and drives delivery from the earliest moments of engagement. The BSA partners with business stakeholders, process owners, and engineering teams to lead AI-assisted intake, generate structured business context, and deliver scalable technology solutions that support our global GTM and Revenue operations teams. You'll help shape how a global SaaS company sells, quotes, forecasts, licenses, and delivers customer value. This role has direct influence over systems and processes supporting thousands of users worldwide. How We Work: AI-Driven Delivery Model This role operates within a modern, AI-accelerated delivery model. Traditional ticket intake and static requirements gathering have been replaced with a conversational, AI-assisted process that begins with business context and ends with intelligent, capacity-aware sprint planning. What You'll Do AI-Assisted Intake & Business Context * Lead structured, conversational intake sessions with business stakeholders by replacing static form-based requirements gathering. * Leverage AI-generated transcripts and NLP extraction to produce structured intake artifacts, including business context, problem statements, strategic imperatives, and KPIs. * Validate and enrich AI-generated Business Requirements Documents (BRDs) and Technical Requirements Documents (TRDs) with GTM and Revenue Operations domain expertise. * Surface AI, automation, and orchestration opportunities early in the intake process. Value Stream Alignment & Delivery Orchestration * Operate as a strategic facilitator and business translator within the GTM and Revenue Operations value streams. * Partner with Business Process Owners, Enterprise Architects, Developers, and QA teams across the full SDLC. * Support intelligent work routing, ensuring delivery is aligned to the correct team, system domain, and engineering capability. * Support our GTM and Revenue Operations systems through implementation of new initiatives, enhancements, and integrations within the AI-Driven Delivery Model. AI & Automation Opportunity Identification * Evaluate GTM and Revenue Operations processes to identify AI, automation, analytics, and workflow orchestration opportunities. * Assess data quality, integration complexity, and governance implications to enable scalable, measurable business outcomes. * Contribute to AI-generated test case design, sprint planning recommendations, and delivery estimation as these capabilities mature. Governance, Risk & Stakeholder Management * Clarify governance and compliance requirements early in the process as an enabler, not a blocker. * Facilitate UAT, stakeholder reviews, and solution validation. * Coordinate required governance reviews: Enterprise Architecture, Security, Procurement, and Compliance, leveraging automated trigger workflows. * Manage stakeholder communication across business and technology teams with a bias toward measurable outcomes and traceability.  Who You Are * 5+ years of Business Systems Analyst or Business Analyst experience. * Bachelor’s degree in a technical field of study or relevant work experience demonstrating the key facets of this role. * Demonstrated ability to act as a strategic advisor and business translator, not a ticket taker, collaborating across business and technology to drive solution innovation. * Experience with Salesforce, Salesforce CPQ, and related enterprise applications. * Proven expertise in structured requirements gathering, process mapping, user story creation, and solution design. * Familiarity with AI-assisted or automation-enabled delivery workflows (AI-generated documentation, NLP extraction, workflow automation). * Strong analytical, problem-solving, and stakeholder facilitation skills. * Experience working within Agile/Scrum delivery environments. * Excellent verbal and written communication skills with ability to present at an executive level. * Salesforce Administrator certification What Success Looks Like in This Role The BSA in this model is measured not by tickets closed, but by business outcomes enabled. Success looks like: * Faster time-to-delivery: Intake conversations convert to structured EPICs and user stories within hours, not weeks. * Measurable business impact: Solutions are tied directly to KPIs identified during intake. * AI adoption: Proactively surfaces and implements AI and automation opportunities within the GTM and Revenue Operations value stream. * Stakeholder trust: Business partners view the BSA as a strategic advisor and co-owner of outcomes, not a documentation intermediary. * Delivery traceability: All work is traceable from business conversation through to delivered solution, with governance automated and documented. Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work. Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com [accommodations@commvault.com] For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com [wwrecruitingteam@commvault.com].   Commvault's Privacy Policy [https://www.commvault.com/privacy-policy]

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. Intermediate Backend Engineer, Analytics Instrumentation An overview of this role Analytics Instrumentation is part of the Data Engineering and Monetization (DE&M) group, focused on the collection of Product Usage, and Billing event data within GitLab. We build data collection platforms that enable product teams to assess user behavior and make evidence-based choices through privacy-conscious instrumentation that captures product usage throughout the user lifecycle. As an Intermediate Backend Engineer, you'll contribute to the design and development of a unified, data infrastructure platform that consolidates analytics instrumentation across GitLab's engineering organization. You'll help build and maintain backend systems that give the company visibility into customer usage patterns across GitLab SaaS and Self-Managed deployment environments. That data directly informs strategic product priorities and strategies. This role offers the opportunity to work on foundational infrastructure that simplifies instrumentation for teams at GitLab, replacing the complexity of multiple language-specific software development kits with a single, unified solution that teams can rely on. WHAT YOU’LL DO * Build and maintain a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS, with success measured by reliability, performance, and adoption across GitLab teams. * Help improve the emission, transit, and quality of instrumentation data across the system, with success measured by data quality, data integrity, and usage billing accuracy. * Support usage billing and instrumentation systems during working hours, with success measured by timely incident handling and reliable service restoration. * Work across the organization with research and development teams and the enterprise data organization to deliver common solutions, with success measured by adoption across multiple stakeholders. * Contribute to technical choices that balance ease of use for product teams with reliability and correctness for data consumers, with success measured by platform usability and trusted downstream data. WHAT YOU’LL BRING * Experience working with platform or infrastructure systems in production environments. * Proficiency in the Go programming language, with experience building and maintaining production services. * Backend development experience, with the ability to contribute to scalable, reliable systems serving internal and external customers. * Familiarity with infrastructure concerns such as system reliability, performance at scale, data quality, and observability. * Experience working in cross-functional teams with product teams, data consumers, and other internal stakeholders across team boundaries. * Familiarity with cloud native technologies and open source development practices. ABOUT THE TEAM The Analytics Instrumentation team operates at the intersection of Product, Analytics and customer facing teams, providing data collection infrastructure that serves engineering teams across GitLab. We're a distributed team of generalist engineers who tackle complex problems spanning the GitLab codebase, JS, Go and Python satellite services, data pipelines, and AI tool integration. We collaborate transparently across teams, delivering measurable results through efficient iteration, while building inclusive solutions that respect user privacy. Our work enables data-driven decision making across the organization. The Analytics Instrumentation team operates at the intersection of Product, Analytics, and customer-facing teams, providing data collection infrastructure that serves engineering teams across GitLab. We're a distributed team of generalist engineers who tackle complex problems spanning the GitLab codebase, JS, Go, and Python satellite services, data pipelines, and AI tool integration. We collaborate transparently across teams, delivering measurable results through efficient iteration while building inclusive solutions that respect user privacy. Our work enables data-driven decision making and data-informed planning across the organization. We're involved in diverse projects from event data collection and privacy compliance tools to AI-powered analytics frameworks that help GitLab teams learn about their users better. 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.