Senior Backend Engineer- LLM Team

לפני 18 ימים
משרה מלאהמרכז (תל אביב)
4+ שנות ניסיון
בקטגורייתSoftware Development

תיאור המשרה

Description

Blink is a security automation copilot that generates automated workflows to handle repetitive tasks or enforce security policies – simply by typing a prompt. Join our fast growing team, and help put the power of automation in the hands of every security professional.

About the role

As a Senior Backend Engineer at Blink Copilot team, you will play a pivotal role in shaping the architecture and evolution of our backend services. You'll work in a dynamic, collaborative environment where innovation and creativity are encouraged.

Your responsibilities

What you'll be doing

  • Architect, develop, and test cloud-native microservices, ensuring they meet our high standards of scalability and reliability.
  • Deeply engage with a range of tech stacks, showcasing your expertise beyond a single framework—particularly in AI technologies, LLM frameworks and cloud infrastructure, including containerized environments like Kubernetes and Docker.
  • Collaborate closely with cross-functional teams, including sales and customer success, to ensure our solutions are perfectly tailored to customer needs.
  • Grow a culture of continuous learning and improvement, mentoring team members and guiding their professional development.
  • Design and build systems with security at the forefront, understanding and applying key security concepts to protect our customers and their data.
Requirements

What you'll need

  • 4+ years of high-level backend development experience, with a proven track record of working in dynamic, fast-paced environments.
  • Strong foundational knowledge in backend technologies and distributed systems. 
  • Hands-on experience with a variety of tech stacks, with a preference for candidates experienced in our current stack: Python, Go, Docker, and Kubernetes.
  • Experience in end-to-end development of production-grade services, starting from system design through implementation to full delivery—including monitoring and taking responsibility for the feature after deployment.
  • Experience in building LLM-based applications is an advantage.
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