• Design, implement, and maintain scalable backend services and APIs • Own and improve backend architecture within the team • Ensure high standards for code quality, testing, and maintainability • Design systems with reliability, scalability, security, and observability in mind • Collaborate cross-functionally with product, frontend, SRE, data, and game teams • Contribute to technical planning and backend roadmap discussions • Identify and address performance bottlenecks, system risks, and technical debt • Participate in incident response and continuously improve system reliability • Mentor engineers and contribute to a strong engineering culture

• Develop, evolve, and maintain digital health applications across multiple stacks (Java, Node.js, Python), focusing on performance, scalability, and security. • Design and implement features in distributed systems, including RESTful APIs, WebSockets, and data streaming pipelines. • Work on integration between microservices and legacy systems, ensuring consistency, resilience, and traceability in communications. • Use message queues and event-driven architectures (RabbitMQ, BullMQ) for asynchronous processing and orchestration of workflows. • Model, optimize, and maintain relational (MySQL, PostgreSQL) and non-relational (MongoDB, Redis) databases, including caching strategies and eventual consistency. • Contribute to the development and integration of generative AI–based features, such as LangChain agents, RAG pipelines, and orchestration via n8n. • Investigate, diagnose, and resolve complex technical issues in multi-tenant production environments. • Ensure code quality through automated tests and software engineering best practices. • Collaborate with multidisciplinary teams (Product, Design, QA, Data, AI) for integrated deliveries aligned with business objectives. • Participate in agile ceremonies and actively contribute to the team’s technical growth.

• Develop and maintain .NET applications using C#. • Develop and maintain web interfaces using JavaScript, Angular, React, and HTML/CSS. • Develop and maintain SQL queries for data manipulation in relational databases. • Perform unit testing and continuous integration. • Work collaboratively in an agile environment using Git and JIRA. • Demonstrate proactivity, resilience, and adaptability in the workplace.

• Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers • Help maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform • Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads • Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience • Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team • Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness • Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase • Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing)