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Staff Infrastructure Security Engineer (EMEA/APJ)
GitLab
India Not specified Unknown Product Security

Is remote?:

Yes
GitLab is an intelligent orchestration platform for DevSecOps designed to boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI embedded as a core productivity multiplier across all teams. The role is a Staff Security Engineer in the Infrastructure Security Team within Product Security, serving as a technical lead across GitLab’s SaaS platforms (e.g., GitLab Dedicated, Cells) and Self-Managed offerings, defining the security direction and enabling cross-team collaboration. Responsibilities include setting architectural patterns and foundational security automation, leading comprehensive security reviews and threat modeling, guiding AI-assisted security engineering, and translating architectural tradeoffs into clear decisions for engineers and senior leadership while mentoring staff. Requirements include expert knowledge of cloud infrastructure security (AWS/GCP/Azure), Kubernetes, multiple languages (Go, Python, Ruby), experience with Infrastructure-as-Code security (Terraform, Ansible, CloudFormation) and policy-as-code, hands-on experience applying AI to security workflows, and familiarity with certifications (FedRAMP, ISO 27001, SOC 2, PCI-DSS); GitLab notes they welcome candidates with varying levels of experience and encourage applying even if not meeting every requirement. GitLab offers remote worldwide roles with location-based eligibility, flexible PTO, ERGs, equity and an Employee Stock Purchase Plan, a Growth and Development Fund, parental leave, and a strong commitment to equal opportunity and an inclusive workplace, supported by a Recruitment Privacy Policy.
Deal Desk Strategist, Philippines or India
GitLab
India Not specified Unknown Field Operations

Is remote?:

Yes
GitLab is the intelligent orchestration platform for DevSecOps used by more than 50 million registered users and trusted by over half of the Fortune 100 to ship better, more secure software faster, with a culture that treats AI as a core productivity multiplier and values every voice. As a Deal Desk Strategist for Asia-Pacific and Japan (APJ), you’ll partner with Sales and Revenue teams to shape deal structure, quoting, and bookings and act as the primary expert for sales-assisted quotes in Salesforce. You’ll own the end-to-end quote-to-cash process: reviewing opportunities and order forms, validating pricing in CPQ tools (Salesforce, Zuora CPQ), ensuring terms align with revenue recognition and internal policies, and resolving issues with cross-functional teams. Candidates should have experience in quote-to-cash functions, strong CPQ and Salesforce skills, understanding of pricing, discounts, standalone selling price, revenue recognition concepts, and solid problem-solving and data-review abilities. This fully remote role in GMT+10 offers a collaborative Deal Desk team, growth and benefits including equity and parental leave, and GitLab’s commitment to equal opportunity and inclusive hiring practices.
AI Engineer
GitLab
India Not specified Unknown Enterprise Applications

Is remote?:

Yes
GitLab is an intelligent, AI-enabled DevSecOps platform used by over 50 million registered users and trusted by Fortune 100 companies, with a remote, values-driven culture that treats AI as a core productivity multiplier. The AI Engineer role reports to the Director, Enterprise AI, and is a hands-on technical leader responsible for delivering internal AI-powered solutions from discovery through deployment, starting with Sales, Marketing, and Customer Support. You will diagnose business problems, map workflows, own AI initiatives end-to-end, ship rapid prototypes, improve organizational flow, integrate AI into existing systems, and measure success with flow metrics, adoption, and ROI while acting as Customer Zero. Candidates should be a technologist at heart with solid coding skills and deep AI/LLM experience (prompt engineering, model selection, agentic architectures, safety, systems thinking, and enterprise data/workflows), with end-to-end ownership and a product mindset; preferred qualifications include GitLab experience, consulting or solutions engineering background, value-stream mapping, low-code tools, startup experience, and mentoring. The role sits in the Enterprise Technology & AI team within a fully remote, asynchronous company, and GitLab offers benefits such as flexible PTO, equity, parental leave, and a strong commitment to equal opportunity and inclusion.