Senior Backend Developer

  • Planck
  • Tel-Aviv
  • Full-time
About The Position

Who are we?

Planck, now a part of Applied Systems Inc., is revolutionizing the insurance market with its advanced use of Generative AI (GenAI). Our state-of-the-art platform turns unstructured data into real-time, actionable insights, enabling insurance companies to make smarter, faster decisions. As the AI hub for Applied Systems, we are uniquely positioned at the forefront of the industry, driving significant advancements and delivering exceptional value to our clients.

Joining Planck means working in a dynamic startup environment while benefiting from the resources and maturity of a market leader like Applied Systems. We foster an inclusive culture that supports professional development and work-life balance. At Planck, you’ll be at the cutting edge of technology, shaping the future of insurance while advancing your career within the larger framework of Applied Systems.

What will you do?

At Planck, we use cutting-edge technologies to create an industry-changing product. You will join our data collection team. In this role, you will develop and sustain backend services that support our data collection infrastructure, facing both engineering and machine learning challenges daily. You will tackle scalability issues and contribute to enterprise-grade solutions, ensuring high performance and reliability of our applications. Additionally, you will have the opportunity to shape our engineering tools and practices, influencing how we build and deliver software across the organization.

Requirements:

What should you have?

  • 6+ years of hands-on experience as a Backend Developer
  • Superb analytical and problem-solving abilities
  • Great communication and collaboration skills
  • Hands-on experience with Python/Java
  • Experience working with microservices architecture 
  • Previous experience in a SaaS company
  • Advantage – experience tackling scalability challenges and developing enterprise-grade solutions
  • Advantage – familiarity or experience with DevOps methodologies and technologies 

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