
1001 - 5000 employees
Founded 2014
đź Consulting
đŁ Marketing
đ¤ Artificial Intelligence
đ° Secondary Market on 2020-11
Consulting ⢠Marketing ⢠Artificial Intelligence
GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant⢠for DevOps Platforms, making it a preferred choice for many enterprises.
đĽ 15 hours ago
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 2014
đź Consulting
đŁ Marketing
đ¤ Artificial Intelligence
đ° Secondary Market on 2020-11
Consulting ⢠Marketing ⢠Artificial Intelligence
GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant⢠for DevOps Platforms, making it a preferred choice for many enterprises.
⢠Provide technical leadership across the team and adjacent teams ⢠Solve the highest-scope and most complex problems in the area ⢠Lead large, cross-cutting backend initiatives ⢠Drive modular backend, service, data, and platform architecture ⢠Modernize the monolith and legacy backends toward modular, reusable, independently operated systems ⢠Define standards for APIs, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability ⢠Establish patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation ⢠Establish Go service patterns and Kubernetes operating practices; guide Rust adoption where appropriate ⢠Participate in on-call and incident response; act as a technical escalation point ⢠Turn incident learnings into architectural and operational improvements ⢠Shape technical direction across teams without formal authority ⢠Partner with Product and Engineering leadership on roadmap decisions and investment trade-offs ⢠Mentor Senior and Intermediate engineers ⢠Shepherd technical debt reduction and reusable patterns ⢠Lead adoption of AI-assisted and agentic workflows and define quality, security, privacy, and operational guardrails ⢠Help engineers direct, validate, reject, and course-correct agent output
⢠Sustained record of technical leadership across more than one team or a broad product area ⢠Deep backend architecture and production experience in complex applications, services, or platforms ⢠Experience scaling or governing APIs, service platforms, data systems, modular monoliths, or shared backend components ⢠Experience modernizing a monolith or legacy backend architecture in production ⢠Experience with modular architecture such as bounded contexts, package encapsulation, ports and adapters, service extraction, event-driven boundaries, or an equivalent approach ⢠Strong ability to create alignment through clear written proposals and decision records ⢠Ability to balance customer outcomes, delivery speed, technical health, reliability, and long-term platform investment ⢠Experience mentoring engineers and shaping standards through code review, documentation, and example ⢠Production experience with AI-assisted or agentic engineering workflows ⢠Experience evaluating and improving team adoption of AI-assisted or agentic workflows ⢠Helpful experience with Go services and APIs at scale ⢠Helpful experience with Kubernetes and cloud-native operations, including deployment, scaling, observability, rollback, and production readiness ⢠Helpful experience with Rust adoption or production ownership ⢠Helpful experience with Ruby/Rails modularization and large-monolith modernization ⢠Helpful experience with PostgreSQL scaling, data partitioning, queues, messaging, or distributed systems ⢠Helpful experience in security-sensitive product or software supply chain engineering ⢠Helpful experience across SaaS, single-tenant, self-managed, or air-gapped deployment constraints
⢠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 ⢠AI as a core productivity multiplier and incorporation into daily workflows ⢠Remote-first, asynchronous organization
Apply Nowđ August 14
Back-end Developer building .NET Core microservices for property-management technology. Supporting real-time collaboration and scalable cloud products for Australian real estate agencies.
AWS
Azure
Cloud
GraphQL
Microservices
React
React Native
SQL
.NET
đ August 12
Principal Engineer architecting Python, React, and GenAI solutions for Nagarro, a digital product engineering company. Leading scalable AI platforms, agentic workflows, and enterprise-ready architectures for clients.
AWS
Azure
Cloud
Distributed Systems
Google Cloud Platform
Python
React
đ August 12
Data Platform Architect designing secure, scalable lakehouse infrastructure for TaskUsâ outsourced digital services. Establishing governance, performance, FinOps, engineering standards, and architectural direction.
đŽđł India â Remote
đ° Private Equity Round on 2018-08
â° Full Time
đ Senior
đ´ Lead
đ Backend Engineer
Airflow
Amazon Redshift
Apache
AWS
Azure
Cloud
EC2
Google Cloud Platform
Kubernetes
PySpark
Python
SQL
Unity
đ August 3
Technical Architect providing architecture for web and app platforms. Act as a thought leader and transform high-level architecture into detailed designs while coordinating with product and business teams.
ASP.NET
AWS
Azure
Cloud
Microservices
React
React Native
.NET
đ July 28
Staff Software Engineer developing the distributed backend for agent orchestration at Wand. Working with a high-performing global team and building systems for a hybrid workforce.
Distributed Systems
Kafka
Kubernetes
Python
Redis
Go