Synced from Greenhouse · Aug 16

Staff Backend Engineer

GitLabBangalore, IndiaPosted Aug 16, 2026
Backend EngineerStaff
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Aug 16
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Job descriptionReq 8615268002

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.

An overview of this role

The Observability, Monitoring, and Integrations team manages observability, monitoring, and detection for systems that support customer purchasing and use of GitLab. As a Staff Backend Engineer on the Fulfillment Workflow Monitoring (Catch All) team, you'll set the technical direction for the telemetry, detection, and reconciliation tooling that identifies billing, data, and event anomalies across CustomersDot, Salesforce, and Zuora before they can affect revenue or the customer experience.

This is a greenfield team. You'll help build it from the ground up, shaping its operating rhythm, incident response model, and quality bar. You'll use telemetry and machine learning to identify issues early and help resolve them. Because Monetization changes can directly affect revenue and often involve confidential or financial information, you'll use strong judgment, careful rollout practices, and a high bar for reliability. This role is opening at the Staff Backend Engineer level (grade 8).

What you’ll do

  • Design, build, and operate observability across the Monetization stack, including metrics, logs, and traces, using tools such as Prometheus and Grafana.
  • Implement automated detection for billing, data, and event anomalies, and route alerts to the responsible feature teams.
  • Develop reconciliation and data integrity checks across usage and billing pipelines.
  • Define and track service level objectives and service level indicators, write runbooks, and take part in incident response to measure and improve Monetization system reliability.
  • Explore artificial intelligence and machine learning techniques to predict system anomalies and accelerate resolution.
  • Review and offer feedback on merge requests from other Monetization engineers.
  • Collaborate with Product, Finance, Support, and other partners to turn operational needs into reliable tooling.

What you’ll bring

  • Professional experience with Ruby on Rails, including building and operating applications such as CustomersDot.
  • Experience in site reliability or observability engineering, including monitoring, alerting, service level objectives and indicators, runbooks, and incident response.
  • Experience setting technical direction for observability, reliability, or detection work and bringing other engineers along.
  • Experience building anomaly detection, monitoring, or risk management tooling.
  • Familiarity with observability tools such as Prometheus, Grafana, and OpenTelemetry.
  • Exposure to analytical data stores such as ClickHouse and the change data capture and event-streaming pipelines that feed them, including NATS JetStream.
  • Experience owning projects from concept through production, communicating clearly about complex technical and organizational problems, and proposing iterative solutions.
  • Working knowledge of Python for anomaly detection and data work, or experience with billing, financial, or other business-critical systems, including Zuora or Salesforce, is a plus.

About the team

The Observability, Monitoring, and Integrations team is part of GitLab's Monetization section, a highly cross-functional group that partners with Sales, Finance, IT, and Support to deliver secure and reliable purchasing, billing, provisioning, and utilization workflows. The Monetization section includes the Purchase, Subscription Lifecycle, Billing Engine, Platform and Infrastructure, Observability, Monitoring, and Integrations, and Compliance teams.

This role is on the Fulfillment Workflow Monitoring (Catch All) team and reports to the Engineering Manager, Observability, Monitoring, and Integrations. We work asynchronously, plan and reflect regularly, and share responsibility for deployments, incident management, testing, and safe rollouts. We're increasingly focused on how artificial intelligence and machine learning can improve our Monetization infrastructure and provide predictive insights.

How GitLab Supports Full-Time Employees

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.

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What applying to GitLab usually looks like

Based on publicly available information, candidates applying through greenhouse typically begin with an online application and resume submission, sometimes accompanied by optional screening questions. GitLab's process, like many companies using this ATS, may include multiple stages such as an initial recruiter conversation, one or more interviews with hiring managers or team members, and potentially a skills-based or take-home exercise depending on the role. Communication is usually managed through automated status updates within the platform, and response times vary based on the position and volume of applicants. Candidates can generally expect the process to be structured but may experience variability in pacing. It is commonly advisable to prepare for both behavioral and role-specific technical questions, and to ensure application materials clearly reflect relevant skills, since greenhouse-based processes often emphasize structured evaluation criteria across candidates.

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Staff Backend Engineer
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