Staff Backend Engineer
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We are looking for an experienced Staff Backend Engineer with deep expertise in backend engineering, Go proficiency, advanced software development skills, and proven capabilities in architecting scalable platforms tailored for AI and ML workloads. As a core technical leader, you'll influence strategic decisions, partner closely with the founding team, and play a critical role in shaping Activeloop's AI infrastructure.
What You Will Be Doing
Architect and Develop: Design and build scalable backend infrastructure optimized for high-performance AI and ML workloads, ensuring robustness and maintainability.
Lead Feature Development: Own end-to-end delivery of key product features, from initial concept through deployment and support.
Innovate APIs and Microservices: Define efficient RESTful APIs and microservice architectures tailored to customer-driven use cases.
Scale Distributed Systems: Implement systems designed for high-throughput, low-latency, large-scale data processing.
Enhance Scalability: Drive strategic evolution of system architecture to proactively handle future scalability and performance demands.
Implement CI/CD Pipelines: Develop streamlined CI/CD workflows for rapid testing, deployment, and feature iteration.
Collaborate with Technical Leadership: Directly influence engineering strategy and roadmap decisions through close collaboration with the technical leadership.
Mentorship and Optimization: Mentor engineers, establish development best practices, and continuously improve engineering processes.
Partner Cross-functionally: Work closely with product team, ML engineers, and frontend, backend, and full-stack engineers to seamlessly deliver features aligned with business objectives.
Enhance Reliability: Ensure platform reliability and uptime through advanced monitoring, logging, and alerting using modern DevOps tools (Docker, Kubernetes, AWS, GCP, Azure).
What We Need to See
7+ years of backend engineering experience with significant contributions to scalable platform development.
Deep expertise in Go, high-performance backend services, and modern API frameworks.
Proven experience in architecting and scaling distributed systems tailored for AI workloads.
Strong knowledge of PostgreSQL and databases (PostgreSQL, Redis, MongoDB).
Extensive experience in developing RESTful APIs and microservices.
Demonstrated capability in implementing CI/CD pipelines and DevOps practices.
History of owning complex product features from inception through support.
Exceptional communication, collaboration, and problem-solving skills.
Bachelor's or higher degree in Computer Science, Software Engineering, or equivalent practical experience.
Ways to Stand Out from the Crowd
Deep interest in or hands-on experience with distributed databases, data lake technologies, and AI agents.
Proven comfort with ambiguity, rapid iteration, and adaptive decision-making in startup environments.
Enthusiasm for directly incorporating customer feedback into product development.
Proactive in anticipating technical challenges and providing innovative solutions.