Responsibilities
- Design and build core system components, including data subject request workflows, API integrations, and high-throughput data processing systems
- Make strategic decisions on architecture, data structures, and technology stack to support large-scale enterprise clients handling massive privacy data volumes
- Proactively detect potential system limitations and scalability challenges, offering forward-looking solutions
- Promote high standards in coding practices, testing rigor, system observability, and technical documentation across the engineering team
- Develop robust, test-covered code that reliably serves millions of users and meets strict enterprise reliability benchmarks
- Own end-to-end delivery of projects, from initial concept to deployment and iterative improvement, focusing on impact over task completion
- Maintain a balance between rapid iteration and high-quality engineering standards in code, testing, and documentation
- Utilize AI-powered development tools to boost coding efficiency, improve software quality, and streamline development workflows
- Offer technical leadership, conduct code reviews, and provide architectural guidance to grow team members' capabilities
- Lead technical planning discussions, author detailed specs, and align engineering efforts with product and design stakeholders
- Contribute to open source initiatives through constructive pull request feedback, issue management, and user support
- Collaborate with Product, Design, and Customer Success teams to ensure technical implementations meet business and customer requirements
- Build systems capable of managing heavy enterprise workloads under strict service level agreements, security policies, and regulatory compliance
- Use data, monitoring insights, and performance metrics to guide system design and operational enhancements
- Take full ownership of live systems, respond promptly to outages, and lead root cause analyses to prevent recurrence
- Spot inefficiencies in development tools, workflows, and processes, then design and deploy effective improvements
Work Arrangement
Hybrid — midtown Manhattan
Team
Distributed team with headquarters in NYC and remote members across the US
Other
- Priority given to candidates available to work in the midtown Manhattan office at least two days per week
- The company operates as a distributed team with a central hub in New York City and remote employees throughout the United States
- The company is dedicated to fostering a diverse, equitable, and inclusive workplace and is an Equal Employment Opportunity and Affirmative Action employer
- Discrimination is not permitted on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, protected veteran status, disability status, or other legally protected characteristics
