Senior Backend Engineer

Join Noma Security and help shape the future of AI security in a fast-paced, high-impact environment.

Noma is building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle. Our team works at the intersection of AI, security, and cloud, shaping a new category in a rapidly evolving market. At Noma, you’ll have the opportunity to make a meaningful impact while working with exceptional people on technology that truly matters.

As a Senior Backend Engineer at Noma Security, you will play a critical role in building our Data & AI Lifecycle Security Platform. You will be a core developer, responsible for navigating our product and technical architecture, working with cutting-edge technologies like Go, Kubernetes,Temporal, and with different AI platforms. In our fast-moving startup environment, we value precision and focus on business goals, ensuring that every development decision is aligned with delivering impactful results quickly.

🛠️ What You’ll Do

• Design, build, and operate scalable backend services using Go, Kubernetes, and Temporal
• Collaborate with Product, Research, and Platform teams to translate business needs into technical solutions
• Integrate with AI and LLM platforms, cloud providers, and data sources
• Own architectural decisions while balancing speed, reliability, and long-term maintainability
• Implement best practices for code quality, testing, observability, and production readiness
• Debug and resolve complex production issues and improve system resilience

✅ What You Bring

• 7+ years of backend development experience
• Proven experience in the end-to-end development of backend software components, including research, design, development, testing, rollout, and monitoring
• Solid understanding of scalability, performance, and reliability tradeoffs
• Strong ability to align technical decisions with product and business impact
• Ability to quickly learn and adapt to new technologies as needed
• Hands-on experience with Docker, Kubernetes, and cloud environments
• Advantage: Experience in leadership roles such as Team Lead or Tech Lead

🎯 Nice to Haves

• Background in security, cloud security, or data protection
• Prior experience in startups or high-growth companies
• Experience with workflow orchestration frameworks such as Temporal
• Familiarity with AI, ML, or LLM platforms and their operational challenges
• Experience building internal platforms or developer-focused infrastructure