ActiveloopAC

Senior Python Backend Engineer

Activeloop provides an open-source data lake, Deep Lake, that simplifies the management of data for deep learning applications, accelerating AI product development.

Activeloop
United States only

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.

About the job

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Activeloop

Learn more about Activeloop and their company culture.

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Activeloop frees deep learning teams from building complex data infrastructure so they can develop AI products faster. Deep Lake open source for researchers & nascent teams enables automatic connection of unstructured data, including audio, video, image, and point cloud data, to machine learning models. Their product, Deep Lake open-source, supports data streaming, scalable machine learning pipelines, and dataset version control for distributed workloads.

Additionally, teams can access over 200 machine learning datasets like MNIST, COCO, CIFAR, ImageNet, or GTZAN formatted for Deep Lake, which is curated by the community. Activeloop serves reputable companies such as Intel, Airbus, and Matterport, promoting operational efficiency and reducing costs. The company emphasizes the importance of good data for great models, aiming to democratize access to optimized data for all, including students, researchers, and startups.

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Activeloop

Chief executive officer

Davit Buniatyan

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