Note: The job is a remote job and is open to candidates in USA. Cockroach Labs is a technology company focused on building resilient software infrastructure. They are seeking a Backend Software Engineer to join their GTM Engineering team, responsible for developing features and optimizing performance for their internal knowledge and intelligence infrastructure.

Responsibilities

• Feature Development & Integration: Design, implement, and maintain new features and integrations that enhance the GTM OS, our new system for delivering actionable intelligence across the company. This work will include both traditional and agentic engineering approaches, leveraging the latest AI technologies to build impactful tools and workflows
• Performance Optimization & Troubleshooting: Investigate and resolve complex performance and reliability issues within the GTM OS and its data pipelines, ensuring production-grade availability. Build observability and monitoring capabilities into the system
• Customer Focus: Partner directly with internal teams to understand how they spend their time and identify opportunities where we can better support them. In some cases, this may involve building entirely new features; in others, it may mean making iterative improvements to existing systems and workflows
• Enablement: Present and consult across Cockroach Labs to showcase the work we’ve built and help teams understand how to best leverage it. This includes presentations, detailed documentation, and workshops
• DevOps Tooling & Infrastructure: Continuously improve and manage the infrastructure, tooling, and supporting systems required to operate and scale the GTM OS effectively

Skills

• 5+ years of hands-on software engineering experience, ideally with distributed systems or complex infrastructure projects
• Proficiency in at least one programming language
• Strong understanding of containerization (Docker) and orchestration (Kubernetes)
• Working knowledge of CI/CD pipelines, version control (Git), and Infrastructure as Code (Terraform, Ansible, etc.)
• Experience working with at least one major public cloud provider (AWS, GCP, or Azure)
• Understanding of SQL and relational database fundamentals, including schema design and query optimization
• Proven ability to diagnose and resolve complex technical issues in production environments
• A track record of designing and building AI-powered systems, tools, or infrastructure that others use — not just for your own productivity
• Demonstrated ability to translate ambiguous problems into scalable, production-grade AI-enabled solutions
• Experience integrating models and AI capabilities into systems with evaluation, monitoring, and iteration built in
• Strong written and verbal communication skills, capable of tailoring information to both technical and non-technical audiences
• Experience designing and managing data pipelines for AI systems, including ETL for LLMs, vector databases, or feature stores
• Enthusiasm for staying up-to-date with emerging technologies and incorporating them into new or existing solutions
• Openness to giving and receiving feedback, with a mindset of continuous improvement
• Willingness to adapt to changing priorities in a fast-paced, innovative environment
• Go is preferred, but not required
• Previous experience with distributed databases or high-availability systems is a plus

Benefits

• Stock Options
• Medical Insurance
• Vision Insurance
• Dental Insurance
• Life and Disability Insurance
• Professional Development Funds
• Flexible Time Off
• Paid Holidays
• Paid Sick Days
• Paid Parental Leave
• Retirement Benefits
• Mental Wellbeing Benefits
• Commission
• Funds towards professional development resources
• Flexible paid time off
• 11 paid holidays a year
• 10 paid sick days a year
• Paid parental leave
• A 401(k) plan
• Wellbeing benefits

Company Overview

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