[Remote] Software Engineer (Backend), GTM Tooling

Note: The job is a remote job and is open to candidates in USA. Cockroach Labs is a pioneering company focused on building resilient and scalable infrastructure for the next era of software. They are seeking a Backend Software Engineer to enhance their internal knowledge and intelligence infrastructure, supporting the Revenue team and the company as a whole through the development of impactful tools and workflows.

Responsibilities

• Design, implement, and maintain new features and integrations that enhance the GTM OS, our new system for delivering actionable intelligence across the company
• 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
• Partner directly with internal teams to understand how they spend their time and identify opportunities where we can better support them
• Present and consult across Cockroach Labs to showcase the work we’ve built and help teams understand how to best leverage it
• 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; Go is preferred, but not required
• 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
• 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