Senior Backend Engineer- LLM Team

About Us

Blink Ops is the AI company powering the future of security automation. Our platform enables organizations to automate complex processes with deterministic reliability, freeing them to focus on what matters most. Through intelligent orchestration and proven workflows, we act as the force multiplier for security operations—driving faster incident response, eliminating alert fatigue, and staying ahead of cyber threats

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.
  
  

• 6 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.