- Join our dynamic, agile R&D team as an Senior Full-Stack Engineer, where you will serve as a key architectural driver for our Evidence Management features, deployed on Google Cloud Platform (GCP)
- You will be responsible for the end-to-end success of major features—from proposing architectural approaches for video extraction to defining service contracts for AI-generated metadata
- While primarily an Individual Contributor (IC), you will take on Technical Lead responsibilities for specific initiatives, actively mentoring peers and elevating our engineering standards. We expect a transformative approach, leveraging AI methodologies to optimize the development pipeline and ship high-performance media tools
- Architectural Ownership: Propose and facilitate technical discussions to arrive at agreed-upon architectural plans for video trimming, transcription, and packaging services
- Contract Definition & Coordination: Own the APIs for the Evidence Domain, coordinating with external consumer teams to ensure seamless integration and data integrity
- Feature Grooming & Delegation: Groom stories from Product Management requirements and break down tasks for the team to enable rapid, parallel development
- Hands-on Media Manipulation: Lead the implementation of frame-accurate video trimming, cropping, and snapshot extraction logic using libraries such as FFmpeg or GStreamer
- High-Performance UI/UX: Lead the development of the Video Trim Editor and extraction logic, ensuring frame-accurate performance and efficient GCS data handling in the browser
- Quality & Review: Conduct thorough code reviews, serving as a trusted source to catch edge cases, security gaps, and performance bottlenecks
- Pipeline Transformation: Actively contribute to development pipeline improvements (e.g., automated guardrails, RAG systems) to significantly cut down PR cycle time
- AI Integration: Participate in shipping LLM-powered features (e.g., scene description and object detection), monitoring live metrics to refine accuracy
Benefits
- Flexible work models
- Paid time off
- Paid parental and family leave
- Health care benefits
- Global wellness resources
- Employee assistance programs
- Rotation programs
- Mentor relationships
- Learning and development opportunities
- Retirement benefits
- Employee bonuses
- Stock grants & employee stock purchase plans
Frontend Expertise: Professional experience with Angular 17+ (specifically Signals) for developing highly performant, real-time user experiencesGCP Proficiency: Proven ability to deploy and manage applications on GCP (GKE, Cloud Run, Cloud Storage)System Integrity: Deep understanding of scale challenges, fault-tolerant design, and the ability to anticipate and address stress points within media-heavy architecturesMedia Processing Mastery: Practical experience with media processing tools (e.g., FFmpeg) to perform lossless trimming, transcoding, and frame-accurate media manipulationExperience & Impact: Bachelor’s degree plus 4+ years of progressive technical experience, demonstrating successful ownership of complex, distributed featuresAPI/Contract Ownership: Extensive experience designing robust service contracts and managing dependencies between Python/Java microservicesTransformative Mindset: Practical experience leveraging modern AI tools for coding, architectural trade-offs, and code analysisMust be a U.S. citizen with the ability to obtain necessary security clearance as required by government contractBachelors degree with 4+ years of full stack engineering and Python experienceAND 2+ years of Java experience
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