About the Role
This role involves leading backend development efforts, shaping system architecture, and guiding engineering teams to build robust, scalable services that support core product functionality.
Responsibilities
- Lead the design and implementation of scalable backend services
- Mentor engineers and contribute to technical decision-making
- Collaborate with product and frontend teams to define APIs
- Ensure system reliability, performance, and security
- Drive best practices in code quality and testing
- Own critical backend components from concept to production
- Evaluate and integrate new technologies and frameworks
- Troubleshoot and resolve production issues efficiently
- Participate in architecture reviews and system design
- Improve observability and monitoring across services
- Support deployment pipelines and CI/CD practices
- Contribute to database design and optimization
- Enforce security standards in backend systems
- Lead incident response and post-mortem analysis
- Guide project planning and technical roadmap execution
- Promote engineering excellence across the team
- Work closely with data and infrastructure teams
- Define and maintain API contracts
- Optimize backend performance at scale
- Ensure compliance with data privacy requirements
Nice to Have
- Experience in AI or machine learning infrastructure
- Leadership in high-growth tech environments
- Contributions to open-source projects
- Public speaking or conference presentations
- Advanced degree in a technical field
Compensation
Competitive salary with equity and benefits
Work Arrangement
Hybrid or remote options available
Team
Collaborative engineering team focused on backend systems and infrastructure
Tech Stack
- Uses modern backend frameworks and cloud-native technologies
- Leverages containerized services with Kubernetes
- Employs PostgreSQL and other data storage solutions
- Integrates with internal AI platforms
- Applies automated testing and deployment pipelines
Growth Opportunities
- Opportunities to lead larger technical initiatives
- Pathways for advancing engineering leadership skills
- Exposure to cutting-edge AI-driven applications
- Support for attending industry events
- Internal knowledge-sharing programs
Available for qualified candidates
