Hybrid Lead Software Engineer

at Troveo AI

• Job title: Lead Software Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $200,000 - $250,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Distributed Systems, Grafana, JavaScript, Kafka, Kubernetes, Microservices, Node.js, Postgres, Prometheus, Python, SQL, Go
• Location requirements: Hybrid, San Francisco, United States

About the role

• Lead Software Engineer designing scalable data pipelines and backend systems for AI video applications. Collaborate with cross-functional teams while mentoring engineers and shaping Troveo's data infrastructure.

Responsibilities

• Lead the architecting of Troveo’s data pipelines, systems, and applications for scalability and reliability.
• Partner with product, frontend, and DevOps teams to co-design scalable backend architectures.
• Architect and deploy microservices in production environments, ensuring orchestration, auto-scaling, and fault tolerance across hybrid or multi-cloud setups.
• Build resilient distributed systems addressing challenges like eventual consistency, service mesh (Istio), and event-driven architectures with Kafka or NATS.
• Collaborate across teams as a player-coach, mentoring other engineers while delivering hands-on code and system design.
• Design and optimize data pipelines that process massive video datasets for AI workloads.
• Dive deep into database internals—execution and storage engines, sharding, replication, and vector search techniques—to ensure efficiency at scale.
• Extensive experience with AWS, especially S3, for large-scale data processing and storage.
• Strong knowledge of SQL (PostgreSQL preferred); Snowflake SQL experience is a plus.
• Collaborate with ML and data engineering teams to embed AI/ML models directly into backend services, maintaining contextual awareness of video AI tradeoffs.
• Implement comprehensive monitoring, logging, and tracing frameworks (Prometheus, Grafana, Jaeger) to maintain 99.99% uptime.
• Build and maintain CI/CD pipelines with GitHub Actions, ArgoCD, or Tekton, integrating security scans and automated testing for zero-downtime deployments.
• Profile and optimize backend services for low latency, cost efficiency, and high throughput under load.
• Ensure operational excellence under pressure—especially during tight delivery windows—while maintaining clear communication with leadership.
• Enforce zero-trust security principles, encryption at rest and in transit, and compliance with GDPR/CCPA.
• Work with the platform team to ensure all deployments meet Troveo’s data protection and reliability standards.
• Exhibit meticulous attention to detail, ensuring deliverables adhere precisely to contract terms and customer expectations.
• Communicate effectively under pressure, providing updates and clarity during time-sensitive project deliveries.
• Demonstrate strong lateral and technical communication, sharing customer delivery learnings across the engineering org to strengthen platforms and systems company-wide.
• Partner directly with Product to translate requirements into scalable, reliable backend solutions.

Requirements

• 8+ years of backend software engineering experience, including system architecture and distributed systems design.
• Deep expertise in Go, Python, or Node.js, with production microservices experience.
• Strong understanding of Kubernetes, container orchestration, and cloud-native architectures.
• Hands-on experience with Kafka, NATS, or similar event-driven platforms.
• Proven experience operating at scale with a startup mentality - fast-moving, adaptable, and pragmatic.
• Familiar with video AI/ML systems - not leading their development, but understanding the tradeoffs that impact system design and performance.
• Experience implementing observability and CI/CD pipelines in production.
• Excellent communicator and mentor; capable of leading by example and elevating team technical standards.

Benefits

• Competitive compensation with significant equity upside