Job description

We are looking for a Member of Technical Staff with strong Python skills and a passion for building scalable platforms for AI and ML workloads. As MTS, 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 software 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 Founder: Directly influence engineering strategy and roadmap decisions through close collaboration with the technical founder. • Partner Cross-functionally: Work closely with ML, frontend and backend 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 • Deep expertise in Python and modern software frameworks (e.g., FastAPI). • Solid understanding of distributed systems, ideally applied to AI workloads • Strong knowledge of SQL and NoSQL databases (PostgreSQL, Redis, MongoDB). • Experience building RESTful APIs and microservices • Demonstrated capability in implementing CI/CD pipelines and DevOps practices. • Exceptional communication, collaboration, and problem-solving skills. • History of owning complex product features from inception through support. Ways to Stand Out from the Crowd • Hands-on experience with GPU performance optimization, CUDA or Triton kernels, or profiling AI workloads. • 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. This role is open to a range of experience levels. New graduates with strong fundamentals and impressive projects are encouraged to apply.

Requirements

Must-haves

What You Will Be Doing
Architect and Develop: Design and build scalable software 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 Founder: Directly influence engineering strategy and roadmap decisions through close collaboration with the technical founder.
Partner Cross-functionally: Work closely with ML, frontend and backend 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
Deep expertise in Python and modern software frameworks (e.g., FastAPI).
Solid understanding of distributed systems, ideally applied to AI workloads
Strong knowledge of SQL and NoSQL databases (PostgreSQL, Redis, MongoDB).
Experience building RESTful APIs and microservices
Demonstrated capability in implementing CI/CD pipelines and DevOps practices.
Exceptional communication, collaboration, and problem-solving skills.
History of owning complex product features from inception through support.
Ways to Stand Out from the Crowd
Hands-on experience with GPU performance optimization, CUDA or Triton kernels, or profiling AI workloads.
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.
This role is open to a range of experience levels. New graduates with strong fundamentals and impressive projects are encouraged to apply.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonaimlci/cddockerkubernetesawsgcpazuresql

Platform: dover
Effort: medium