Note: The job is a remote job and is open to candidates in USA. Cockroach Labs is a company that builds robust database solutions for modern applications. They are seeking a Backend Software Engineer to enhance their internal knowledge and intelligence infrastructure, focusing on feature development, performance optimization, and customer collaboration.
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
- In some cases, this may involve building entirely new features; in others, it may mean making iterative improvements to existing systems and workflows
- 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
- 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
Company H1B Sponsorship