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As an Intermediate Backend Engineer on the GitLab Delivery: Operate team, you will play a pivotal role in building, maintaining, and enhancing the infrastructure, automation, and tooling that power GitLab deployments for self-managed customers. This fully remote position offers the opportunity to collaborate across engineering, security, and operations teams to ensure GitLab is easy to deploy, secure, scalable, and reliable in diverse enterprise environments.
Join a team dedicated to empowering self-managed GitLab users by delivering robust deployment tools, seamless integration, and operational excellence. You will work on primary projects such as Omnibus GitLab, Helm Charts, the GitLab Environment Toolkit (GET), and the GitLab Operator, focusing on automation, security, scalability, and user enablement.
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Lead design and development of Java backend services.
Architect and optimize platform components for high performance.
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Resolve customer inquiries promptly and efficiently
Contribute to knowledge base and team collaboration
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Lead software development of enterprise web applications
Provide senior technical leadership
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Promote awareness of information security practices
Identify and report security risks
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Architect and deliver features of AI Platform ecosystem
Leverage AI tools to boost productivity and quality
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Design and deliver partner enablement programs.
Provide technical advisory on Docker integration.
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Promote and enforce information security practices
Assess and audit client marketing technology stack
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Developing containerized microservices for a distributed multi-tenant system
Processing data, real-time events, and network telemetry for insights and security
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Build and evolve full-stack Next.js apps for millions of users
Improve Core Web Vitals, accessibility, and SEO
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Work with clients on big data challenges
Deliver data engineering and data science projects
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Work on solving big data challenges for clients
Deliver data engineering and data science projects
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Design and build reference architectures
Guide customers on big data and AI deployments
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Design and build reference architectures
Collaborate with engagement managers
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Design and implement containerized microservices in AWS environment
Lead relational DB design with performance optimization
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Design and implement scalable, high-performance backend apps
Participate in code reviews and collaborate with teams
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Lead advanced penetration testing
Define offensive security strategy
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Responding to and resolving customer inquiries efficiently
Contributing to self-serve knowledge base
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Serve as primary security representative in customer engagements.
Articulate security architecture, controls, and risk management approach.
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Promote and enforce information security practices
Identify and report security risks
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Lead cloud engineering team in developing microservices for a multi-tenant platform.
Ensure performance, security, and reliability in cloud service development.
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Define and enhance AI architecture for Service and Marketing capabilities
Lead development of backend systems and APIs for AI products
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Lead integration projects effectively
Map customer needs to API capabilities
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Lead technical vision for client projects
Design, develop, and deploy backend services and APIs
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Build and maintain scalable data pipelines
Improve data models and schema design
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Break down large projects into manageable tasks and deliver them in phases
Collaborate with product, design, and analytics teams on ideation and decisions
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Develop containerized microservices for a distributed system
Process data, real-time events, and network telemetry across clouds
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Lead technical vision for client projects
Develop core backend services with Ruby, Go, and Python
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Develop containerized microservices for a distributed multi-tenant system
Mentor junior engineers, new grads, and interns
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Design and build core AI services for Marketing and Service AI
Implement scalable, low-latency backend APIs
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Serve as primary security representative in customer engagements
Articulate security architecture and threat models
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Lead advanced penetration testing activities
Perform security assessments on Cloud Infrastructure
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Lead design and development of core Java backend services.
Optimize platform for high-throughput and low-latency workflows.
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Define roadmap and strategy for ML Data Service platform
Architect scalable data systems
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Design end-to-end data/analytics architecture
Architect scalable data platforms
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Oversee planning and execution across multiple components
Mentor and grow engineers for career development
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Define and drive ML Data Service roadmap and strategy
Architect scalable data ingestion and transformation processes
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Own fleet reliability and define SLOs
Architect infra on GCP and AWS using Terraform for AI workloads
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Promote and enforce information security practices
Identify and report security risks
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Lead design and development of Java backend services
Optimize platform components for high-throughput workflows
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Design and implement features with cross-functional teams
Build scalable frontend/backend code using specified technologies
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Take ownership of quarterly goals and lead the engineering team
Collaborate with product, design, and analytics teams on ideation and decisions
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Advance capabilities in various industries
Gain hands-on experience with key technologies
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Build end-to-end social-channel experiences
Capture profiles, consent, and engagement data
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Implementing and deploying LLM models for conversational agents
Collaborating with cross-functional teams for deployment and scalability
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Lead team in building automated database operations
Orchestrate node lifecycles and cluster operations for DB systems
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Showcasing Databricks' solutions to address business problems
Providing technical leadership for customer evaluation and adoption
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Lead end-to-end migration of media workloads to AWS
Collaborate with stakeholders to set cloud requirements
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Lead and manage a team of engineers effectively
Collaborate with cross-functional teams for ideation and constraints
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Serve as the primary security representative in customer engagements.
Articulate security architecture, controls, and risk management across different layers.
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Promote and enforce information security practices
Understand and evaluate data storage and processing