Senior DevOps Engineer
Noma Security
Noma is building the industry's first application security platform built to secure the Data & AI Lifecycle—from development to production and from classic data pipelines and ML to GenAI. Our mission is to create a common language between data science and application security teams, helping them secure AI-powered apps without slowing down AI innovation. In just a year, we've helped our customers, including Fortune 500 companies, secure and protect their entire Data & AI Lifecycle with our holistic platform.
We've assembled a dream team with deep expertise at the intersection of AI, data science, and application security and are expanding rapidly across departments to double down on our core use cases, expand our platform's reach through integrations and partnerships, and stay at the forefront of AI threat intelligence. At Noma, you'll be part of an ambitious, customer-obsessed, and dynamic team dedicated to solving real problems and providing real value to our customers. Join us to shape the future of AI application security!
About the Role:
As a Senior DevOps Engineer at Noma Security, you will be responsible for building the infrastructure of our Data & AI Lifecycle Security Platform. You will architect our SaaS platform, automating processes to optimize developer experience while ensuring scalability and high availability. You will manage infrastructure end-to-end, monitoring, troubleshooting, and resolving production-grade issues, all while ensuring that our deployment processes adhere to security and compliance best practices. In our fast-moving startup, precision and focus on business goals are crucial as we deliver impactful solutions quickly.
Requirements:
- 5+ years of experience in DevOps.
- Proven ability to manage end-to-end infrastructure, including deployment pipelines, hosting, monitoring, logging, alerting systems, and production-grade issue resolution.
- Strong understanding of product business value and experience developing lean, efficient solutions.
- Ability to quickly learn and adapt to new technologies as the business evolves.
- Strong knowledge of containerization and orchestration tools like Docker and Kubernetes.
- Advantage: Previous experience in leadership roles such as Team Lead or Tech Lead.
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