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Tusk Venture Partners
Tusk Venture Partners

Product Developer - Backend



Software Engineering, Product
Bengaluru, Karnataka, India
Posted on Wednesday, August 16, 2023
Lyric Studio is an AI-driven platform engineered to transform supply chain management. Designed with all stake holders in mind - supply chain managers, supply chain engineers, and algorithm developers in mind, our platform combines ready-to-use products, customizable components, and the ability to create organization-specific IP. Dive into a world of intelligent decision products that optimize supply chains, and experience the power and flexibility Lyric Studio offers to tech-savvy professionals.

The supply chain is a $57 Trillion industry that is only growing – yet this industry has been slow to adopt the technology. Businesses in every industry, from food and beverage to retail, to manufacturing, to pharmaceuticals, are facing this same problem – an inability to make consistent smart supply chain decisions – we think we can help.

Built by a team put together by industry veterans who have had multiple exits (the most recent was a $1.5B sale of LLamasoft to Coupa). We are looking for top software engineers to build the core platform in our 0-to-1 journey.

Role Overview -

As a Backend Engineer at Lyric, you will play a pivotal role in designing and developing the core functionality of our platform from the ground up. Leveraging your expertise in Python, FastAPI, Kubernetes, AWS, and microservices architecture, you will be instrumental in creating a robust and scalable backend infrastructure that powers our innovative supply chain solutions. This individual contributor role presents a unique opportunity to collaborate closely with our ML Architect, data scientist, and Product Managers, shaping the platform's evolution and ensuring its alignment with industry-leading practices.

What You'll Be Doing
  • Design, develop, and deploy backend microservices using Python and FastAPI on Kubernetes and AWS.
  • Build and maintain scalable, high-performance, and reliable architecture to support our supply chain decision science platform.
  • Collaborate with cross-functional teams including ML Architects, data scientists, and Product Managers to define requirements and develop core features.
  • Participate in code reviews, ensuring code quality, maintainability, and adherence to best practices.
  • Contribute to the creation of technical documentation and provide mentorship to junior engineers.
  • Stay up-to-date with emerging technologies and industry trends to drive continuous innovation within the platform.
What We Are Looking For
  • Extensive experience (5+ years) in backend development using Python, with a strong grasp of object-oriented programming and design principles.
  • Proficiency in building RESTful APIs using frameworks like FastAPI.
  • Solid experience with microservices architecture, Kubernetes, and cloud platforms, preferably AWS.
  • Previous involvement in developing scalable, high-availability systems.
  • Strong understanding of software development best practices including version control, testing, and continuous integration.
  • Excellent problem-solving skills and the ability to work independently and collaboratively within a fast-paced startup environment.
What's In It For You
  • Opportunity to be an integral part of an early-stage startup with high growth potential and a clear mission.
  • Gain hands-on experience working with enterprise customers and collaborating closely A+ founding team.
  • Shape the future of supply chain engineering through cutting-edge technology and innovative solutions.
  • Competitive compensation package, including equity options, and benefits.
Join Lyric in revolutionizing the supply chain landscape by applying your backend engineering expertise to build a platform that transforms how businesses make critical decisions. If you're a motivated and skilled backend engineer looking to make a significant impact, we'd love to hear from you. Apply now and be part of our journey to redefine supply chain decision science!

Skills:- Machine Learning (ML), Kubernetes, Amazon Web Services (AWS), Python and FastAPI