Senior Python Backend Engineer
California
Activeloop
Build Your Accurate RAG Data Engine. Trusted by Fortune 500+ companies like Bayer Radiology & Intel. 2024 Gartner Cool Vendor in Data Management.At Activeloop we are transforming the way organizations harness their data for AI with our Deep Lake and Multi-modal AI Search. Whether you're answering critical clinical questions or searching across vast repositories of scientific papers, we empower you to index, search and organize billions of documents, images, and videos intuitively using natural language powered by Large Language Models. Join us in making data more accessible and actionable than ever before.
We are looking for an experienced Backend Engineer with deep expertise in Python, equipped with advanced engineering skills and a proven track record in building scalable platforms.
What You Will Be Doing
Architect and Develop: Build robust backend services and platforms that are secure, scalable, and maintainable.
Innovate APIs and Microservices: Design and optimize RESTful APIs and microservices for peak performance and scalability.
Scale Distributed Systems: Implement and operate distributed systems that handle massive amounts of data seamlessly.
Ensure Code Excellence: Uphold exceptional code quality through unit testing, code reviews, and best software development practices.
Collaborate Cross-functionally: Work closely with full-stack and frontend engineers, and product managers to deliver innovative solutions.
Optimize Performance: Analyze system performance and implement enhancements for improved scalability and reliability.
Deploy with Modern Tools: Utilize Docker, Kubernetes, and cloud services on AWS, GCP, or Azure to deploy and manage applications.
Enhance Reliability: Implement advanced monitoring, logging, and alerting solutions to ensure platform reliability and maximum uptime.
What We Need to See
7+ years of relevant industry experience with a proven track record in backend platform development.
Deep proficiency in Python and the Fast API framework.
Extensive experience in designing and operating distributed systems at scale.
Solid understanding of both SQL and NoSQL databases like PostgreSQL, Redis, and MongoDB.
Expertise in building and consuming RESTful APIs and working with microservices architectures.
Hands-on experience with Docker, Kubernetes, and cloud platforms such as AWS, GCP, or Azure.
History of owning product delivery from inception through support.
Excellent teamwork and communication skills.
Bachelor's degree in Computer Science or a related field (or equivalent experience).
Ways to Stand Out from the Crowd
Highly motivated and deeply curious about AI and machine learning.
Passionate about creating impactful solutions that push technological boundaries.
Excited to work closely with the founding team in developing hyper-scalable software for machine learning.
Ability to anticipate challenges and proactively provide effective, tangible solutions.
Eager to be part of the startup journey, contributing to building an enduring and scalable business.
Please clearly indicate in your application where you heard about this job opportunity.
Why Join Activeloop?
Activeloop Deep Lake is at the forefront of transitioning from traditional software to AI, accelerating AI deployment across various industries. Our products empower advanced LLMs, generative models, and computer vision models. Trusted by industry leaders we are expanding our team to further advance AI applications. We pride ourselves on being an inclusive, equal opportunity workplace, committed to diversity and accessibility for all applicants.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure Computer Science Computer Vision Distributed Systems Docker Engineering GCP Generative modeling Kubernetes LLMs Machine Learning Microservices MongoDB NoSQL PostgreSQL Python SQL Testing
Perks/benefits: Startup environment
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