Critical requirements: 3-8 years of experience in software, infrastructure, platform, or solutions engineering Strong production experience with Kubernetes Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) Proven customer-facing experience working with engineering, security, or compliance teams Excellent troubleshooting and problem-solving skills Fluent English communication skills Availability for twice-weekly evening meetings to align with an international team Important requirements: Previous experience in a startup, technology consulting, or modern cloud infrastructure environment Ability to build deployment automation, Helm charts, scripts, and runbooks Experience leading technical planning, solution architecture, and production readiness reviews Nice to have: Master's degree in Computer Science, Engineering, or a related field Experience with Generative AI, LLM applications, or AI infrastructure Knowledge of AI deployment, evaluation, and observability platforms Experience with identity and access management solutions (OIDC, SAML, Keycloak, Entra ID, Okta) Background in regulated industries such as financial services, healthcare, or government This role serves as a critical bridge between advanced AI technology and real-world application, requiring a unique blend of software engineering, infrastructure expertise, and customer-facing communication.