Implement and evolve the AI audit event pipeline, including event ingestion, schema normalization, storage design, partitioning, retention, and export capabilities.
Implement access control for AI Governance features by integrating permissions for audit logs, policy configuration, and governance dashboards into GitLab's existing authorization model.
Contribute backend functionality for the AI agent artifact feature, supporting structured storage and retrieval of agent run metadata alongside existing CI/CD artifacts.
Define and drive backend architecture for AI governance systems to improve governance coverage and enable reliable enterprise adoption.
Design the AI audit event system to deliver reliable audit visibility and support customer reporting and compliance requirements.
Build and guide the integration layer between the Duo Agent Platform and governance capabilities, reducing governance gaps across agent workflows.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. The company has more than 50 million registered users, embraces AI, a high-performance culture, continuous knowledge exchange, and values every voice.
Implement well-scoped backend features across the AI Governance product area.
Build and maintain automated test coverage for your work using RSpec or equivalent tools.
Work closely with senior and staff engineers to deliver solutions that are reliable and maintainable.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. The company has more than 50 million registered users and its culture embraces AI, valuing innovation and collaboration.
Design and implement backend features across the Add-On's software supply chain security surface.
Build and improve the package policy evaluation engine, including rule compilation, request matching, enforcement decisions, and performance-sensitive execution paths tied to GitLab's Dependency Firewall infrastructure.
Develop artifact signing and verification workflows, including Sigstore and Cosign integrations, signing key lifecycle management, keyless signing with OpenID Connect (OIDC), and policy-based promotion gates, enabling trusted and auditable software delivery.
GitLab is the intelligent orchestration platform for DevSecOps. 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; they 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.
Implement backend features across the Add-On's supply chain security product, including package policy integrations, ingestion pipeline improvements and delivering maintainable code.
Build and maintain integrations between Add-On functionality and GitLab's existing software composition analysis scanning infrastructure to improve a reliable user experience.
Write and maintain comprehensive automated test coverage, including RSpec and integration tests, to improve test reliability and support safe releases as the codebase grows.
GitLab is the intelligent orchestration platform for DevSecOps. More than 50 million registered users trust GitLab to ship better, more secure software faster. Their high-performance culture is driven by their values and continuous knowledge exchange, enabling their team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Define and drive the technical architecture for the SSCS Add-On, including backend systems for package policy enforcement, provenance generation, artifact signing, and malicious package detection.
Lead design and implementation work for Supply-chain Levels for Software Artifacts (SLSA) Level 2 and Level 3 capabilities within GitLab CI/CD.
Architect integrations with Sigstore services such as Cosign, Fulcio, and Rekor, including approaches for signing workflows, verification, and trust boundaries.
GitLab is the intelligent orchestration platform for DevSecOps. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.
Make GitLab easier to deploy and more secure by default.
Improve installation, upgrade, and day-to-day operations.
GitLab is the intelligent orchestration platform for DevSecOps. They enable organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users trust them.
Design and develop next-generation Security Platform Management capabilities that strengthen GitLab’s enterprise security offering
Build and optimize scalable backend services and data models in Ruby on Rails with PostgreSQL for large volumes of security data
Develop and maintain robust REST and GraphQL APIs that power security workflows across the GitLab platform
GitLab is the intelligent orchestration platform for DevSecOps. With over 50 million registered users GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. They embrace AI as a core productivity multiplier, and value knowledge exchange, enabling team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Guide the design and implementation of backend features for GitLab Secret Detection in Ruby on Rails, GraphQL, and Go.
Build clean, well-tested, maintainable code that meets GitLab standards for reliability and performance.
Partner with product management and engineering peers to deliver backend capabilities that improve detection, validation, remediation, and audit trail coverage.
GitLab is the intelligent orchestration platform for DevSecOps. They enable organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. They have more than 50 million registered users and are a high-performance culture driven by their values and continuous knowledge exchange.
Building scalable systems in an innovative environment.
Shaping the value we deliver to our customers.
Making architectural decisions that will hold up as we grow.
Dragonboat is a leading provider of an AI platform for Strategic Product and Portfolio Management. They are a venture-backed, fast-growing SaaS startup with remote teams in Portugal and the US.
Lead the design and evolution of core Knowledge Graph services in a production Rust codebase.
Own complex, cross-cutting initiatives that span GitLab Rails, the Data Insights Platform, and GitLab Duo Agent Platform.
Drive system design decisions that improve reliability, scalability, and maintainability for analytical graph workloads.
GitLab is the intelligent orchestration platform for DevSecOps. GitLab has over 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster. Our high-performance culture is driven by our values and continuous knowledge exchange.
Build and evolve the backend infrastructure for Dash0's Agentic AI Platform.
Partner with AI engineers to optimize agentic workflows.
Architect and evolve our security strategy for executing unknown code.
Dash0 is building an OpenTelemetry-native, simple, and AI-centric platform that eliminates vendor lock-in. They are backed by top-tier investors including Balderton Capital, Accel and Cherry Ventures and led by a founding team with decades of experience in observability.
Assist in building and maintaining backend services and APIs that support core product features.
Work with PostgreSQL databases to help model data, write queries, and support reliable data pipelines.
Help integrate AI and LLM-based capabilities into backend workflows, including prompt development and API integrations.
Impiricus is an AI-powered HCP Engagement Engine that ethically connects HCPs to pharma resources. They are named the #1 fastest growing company in North America by Deloitte with a unique access to the largest opted-in network of HCPs.
Design, build, and maintain backend services for device connectivity using AI.
Use agentic workflows to increase delivery velocity without sacrificing quality.
Help define and codify AI-native engineering practices for the Devices Cloud team.
Life360's mission is to keep people close to the ones they love with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. They are a remote-first company with more than 500 employees.
Rapidly prototype MVPs using LLM APIs to address business bottlenecks.
Develop production-grade internal applications with reliable frontends and robust backends (Python).
Design and implement RAG architectures and structured output pipelines grounded in company data.
Bestow is a leading vertical technology platform that serves some of the largest and most innovative life insurers. Their platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. They are backed by leading investors and trusted by major carriers.
Design and implement core backend systems and integrations that power the product.
Design and build our data platform (orchestration, pipelines, developer workflows)
Create scalable systems for data ingestion, transformation, and access
Avantos is building the AI-native operating system for financial services, transforming fragmented data into a single, intelligent system. They power workflows, automation, and decision-making as a product-led, fast-moving team in AI, fintech, and infrastructure.
Design and implement complex AI agents and multi-agent workflows using frameworks like LangChain or LangGraph.
Build and maintain scalable, high-performance backend services using Python to support AI-driven features.
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware information.
We are a Managed Nearshore Teams provider headquartered in Austin, specializing in building and embedding high-performing software development teams. Our model allows you to work on international challenges, collaborate with diverse teams, and grow your career while being part of a company that values expertise, creativity, and impact.
Develop and enhance backend features, ensuring system reliability and scalability.
Collaborate with stakeholders to define requirements and improve system performance.
Manage infrastructure using Terraform and other infrastructure-as-code tools.
Aura is on a mission to create a safer internet, offering a suite of intelligent digital safety products that help millions of customers protect themselves against digital threats. With over 400 employees worldwide, Aura is guided by experienced leadership and fostering an inclusive community.
Maintain and improve the internal flows, services, and modules that enable the AI agent to operate stably and efficiently.
Implement technical optimizations aimed at improving performance, resource usage, and response times.
Diagnose, resolve, and prevent agent-related incidents, including root cause analysis and hardening actions.
Baubap is building the most inclusive financial platform in LATAM. They need robust, stable backend systems capable of sustaining intelligent automation at scale and seem to have a multicultural, highly driven team of professionals.
Build AI-Powered Features: Design, develop, and deploy production-grade AI applications from concept to deployment.
Architect Scalable Systems: Create robust backend architectures that support AI workloads, ensuring low latency and high reliability.
Drive AI Innovation: Implement and optimize agentic AI systems, RAG pipelines, and multi-agent workflows using modern LLM frameworks.
Procurify is the AI-enhanced procurement and AP automation platform for mid-market organizations, making it easy for organizations to take control of spending and save money. It is a remote-first company with a big heart and a strong ambition to modernize how organizations manage business spend.
Configure a chat client (VSCode) to interact with the configured MCP Server(s)
Create new MCP Tools to capture needed metrics from the running server
Implement the RAG workflow using the HCL Informix database, Actian MCP for HCL Informix, and the Actian HCL Vector Blade for HCL Informix.
Actian believes data should be a competitive advantage. They are a trusted leader in data management, integration, and analytics with a global team of experts and a culture of innovation.