About the Role
The role involves building and maintaining scalable software systems that process and present large volumes of structured data, with ownership over both user-facing features and core infrastructure components.
Responsibilities
- Develop and maintain full-stack applications using modern frameworks
- Collaborate with product teams to define feature requirements
- Write clean, testable, and well-documented code
- Optimize application performance and reliability
- Design and implement APIs for internal and external use
- Work closely with data engineers to integrate large datasets
- Troubleshoot and resolve production issues
- Participate in code reviews and technical design discussions
- Improve development workflows and tooling
- Ensure security and data privacy standards are met
- Support deployment and monitoring processes
- Contribute to architectural decisions for new systems
- Maintain existing codebases while introducing improvements
- Monitor system performance and respond to alerts
- Implement frontend components with responsive design principles
- Integrate third-party services and APIs
- Use version control systems effectively in team environments
- Follow agile development practices
- Document technical decisions and system behavior
- Mentor junior engineers and support team growth
Nice to Have
- Experience with large-scale data platforms
- Background in data modeling and schema design
- Familiarity with ETL processes
- Knowledge of real-time data streaming
- Experience with distributed systems
- Understanding of search engine technologies
- Prior work in API-first companies
- Involvement in open-source projects
- Experience mentoring engineering teams
- Exposure to machine learning pipelines
Compensation
Competitive salary with equity and benefits
Work Arrangement
Remote-first with flexibility for hybrid options
Team
Collaborative engineering team focused on data-driven product development
Our Tech Stack
- Frontend: React, TypeScript, Webpack
- Backend: Node.js, Python, FastAPI
- Databases: PostgreSQL, MongoDB, Elasticsearch
- Infrastructure: AWS, Docker, Kubernetes, Terraform
- Monitoring: Datadog, Sentry, Prometheus
Culture & Values
- We prioritize transparency and open communication
- Team members are encouraged to take ownership
- We value continuous learning and growth
- Collaboration is central to our development process
- We support remote work and flexible schedules
Available for qualified candidates
