Related skills
javascript aws snowflake python databricksπ Description
- Lead technical discovery with customers to understand workflows and success criteria.
- Prototype and iterate AI/ML data pipelines and backend services to validate value early.
- Design production-ready APIs, data pipelines, ML workflows, and cloud services.
- Own deployments and scaling; troubleshoot across data, infra, and app layers.
- Translate field learnings into actionable product insights and reusable patterns.
π― Requirements
- 8+ years of software engineering delivering production systems in Python and/or JavaScript/TypeScript.
- Experience building data-intensive distributed systems: APIs, data pipelines, cloud-native services (AWS or similar).
- Productionizing AI/ML solutions into reliable, monitored workflows and systems.
- Ability to operate in ambiguous, customer-driven problem spaces and make sound technical decisions.
- Clear communicator across engineering, product, and customer teams.
π Benefits
- Compensation: competitive base salary and annual bonus
- Benefits: health, dental, vision; 401(k) plan and stock options
- Flexible location: Remote workdays and 3 days in-office for Philadelphia area
- Generous PTO: 4 weeks per year including vacation, personal and sick time
- Parental Leave: 12 weeks for childbearing; 6 weeks for non-childbearing
- Onboarding: mentorship and onboarding resources from day 1
- Professional development: biweekly 1:1s and annual growth budget
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