Member of Technical Staff

Renaissance Academy Charter School

$100K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Deep expertise in Python and modern software frameworks like FastAPI.
  • Solid understanding of distributed systems, preferably for AI workloads.
  • Proficient in SQL and NoSQL databases, including PostgreSQL, Redis, and MongoDB.
  • Experience designing and building RESTful APIs and microservices.
  • Demonstrated ability to implement CI/CD pipelines and apply DevOps practices.
  • Strong communication, collaboration, and problem-solving skills.
  • Proven track record in owning complex product features from inception to support.

Responsibilities

  • Design and build scalable software infrastructure for high-performance AI and ML workloads.
  • Own end-to-end delivery of key product features from concept to deployment.
  • Define and implement efficient RESTful APIs and microservices architectures.
  • Implement distributed systems for high-throughput, low-latency data processing.
  • Drive evolution of system architecture for future scalability and performance.
  • Develop streamlined CI/CD workflows for rapid testing and deployment.
  • Influence engineering strategy and roadmap decisions through collaboration with the technical founder.

Benefits

  • Opportunity to significantly impact company strategy working closely with the founding team.
  • Work on innovative technology infrastructures specifically for AI and machine learning workloads.
  • Exposure to a diverse set of technological challenges in a dynamic startup environment.
  • Open to a range of experience levels, welcoming new graduates with strong fundamentals.
Full 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.

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