Staff DevOps Engineer at Nexxa.ai
Posted
Summary
A Staff DevOps Engineer who owns and evolves the infrastructure running Nexxa.ai's production machine-learning and industrial workloads — designing CI/CD pipelines, managing Kubernetes platforms, maintaining infrastructure-as-code, and improving observability in close collaboration with AI teams.
Join Nexxa.ai as a Staff DevOps Engineer and champion the infrastructure powering AI technologies. Focus on building resilient systems for machine learning and industrial workloads.
In this role, you will directly influence the infrastructure's design and operation, ensuring it meets the demands of production ML workloads. Your responsibilities will include shaping CI/CD processes, managing Kubernetes platforms, and improving observability. Ideal candidates will have a strong foundation in DevOps practices and a commitment to operational excellence.
Key Responsibilities: • Own and evolve core infrastructure architecture • Design and operate CI/CD pipelines for rapid innovations • Maintain infrastructure-as-code for reproducible environments • Manage Kubernetes for efficient workload execution • Collaborate with AI teams on data architecture and ML tools
Requirements: • 6+ years in DevOps, Site Reliability Engineering, or software engineering • Cloud platform expertise at production scale • In-depth knowledge of Kubernetes and infrastructure-as-code • Proficiency in CI/CD tools and observability stacks • Strong scripting and problem-solving skills
Lead with vision in transforming Nexxa.ai's infrastructure for innovative AI applications.
In this role, you will directly influence the infrastructure's design and operation, ensuring it meets the demands of production ML workloads. Your responsibilities will include shaping CI/CD processes, managing Kubernetes platforms, and improving observability. Ideal candidates will have a strong foundation in DevOps practices and a commitment to operational excellence.
Key Responsibilities: • Own and evolve core infrastructure architecture • Design and operate CI/CD pipelines for rapid innovations • Maintain infrastructure-as-code for reproducible environments • Manage Kubernetes for efficient workload execution • Collaborate with AI teams on data architecture and ML tools
Requirements: • 6+ years in DevOps, Site Reliability Engineering, or software engineering • Cloud platform expertise at production scale • In-depth knowledge of Kubernetes and infrastructure-as-code • Proficiency in CI/CD tools and observability stacks • Strong scripting and problem-solving skills
Lead with vision in transforming Nexxa.ai's infrastructure for innovative AI applications.
