Top Artificial Intelligence DevOps & Platform Engineering Jobs

Designs, operates, and scales Kubernetes-based data and AI infrastructure across public cloud environments. Builds platforms for Kafka, Spark, Flink, AI gateways, model serving, traffic management, observability, and self-service deployment. Partners with engineering teams to improve reliability, scalability, performance, cost efficiency, and operational simplicity of distributed systems.

Lead large-scale cloud, data, and GenAI-driven transformation programs for High-Tech clients. Build senior client relationships, design cloud-native architectures (AWS/Azure/GCP), drive delivery excellence across onshore-offshore teams, and grow accounts by creating reusable solution accelerators and go-to-market strategies.

Own platform reliability, observability, incident response, scaling, capacity planning, and deployment automation. Monitor system health, debug and resolve incidents, build logging and monitoring tools, improve CI/CD pipelines, develop self-service automation, and strengthen high-availability delivery systems. The role requires clear incident communication, post-incident learning, and collaboration across engineering teams in secure, high-side environments.

Owns AWS infrastructure, Kubernetes clusters, Terraform modules, networking, access controls, secrets management, deployment pipelines, reliability, performance, and incident response for a security-sensitive defense technology organization.

Lead administration, stabilization, and remediation of large enterprise Microsoft SQL Server environments. Design and execute phased migrations to AWS, implement HA/DR (Always On, clustering), optimize performance, automate tasks (PowerShell, T-SQL, IaC, CI/CD), monitor observability, manage backups/replication, and collaborate across engineering, DevOps, and security teams.

Operate and improve Rubrik’s cloud infrastructure and database systems, ensuring high availability, scalability, reliability, and disaster recovery. Manage Kubernetes, MySQL, and distributed systems; perform upgrades, troubleshoot production issues, write automation, build monitoring tools, and develop capacity plans. Participate in global on-call rotations, collaborate across engineering teams, support security controls, and drive the FedRAMP certification process.

Build and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, test reliability, observability, and engineering productivity at scale. Own services from architecture through production, including SLOs and on-call operations. Lead cross-functional technical projects, partner with engineering teams, mentor engineers, and shape platform strategy.

Leads infrastructure and platform engineering teams responsible for globally scalable, highly available systems. Owns infrastructure roadmaps, cloud-native and Kubernetes adoption, infrastructure-as-code, developer productivity, reliability, security, and observability initiatives. Manages hiring, coaching, performance, and career development while partnering with engineering, product, security, architecture, and other stakeholders. The role combines people leadership with occasional technical design, architecture review, and hands-on implementation.

Own and modernize Domino's Tempest scale-testing platform; build repeatable automated validation, sizing guidance, and cloud-scale test automation; partner with platform teams to enable multi-cloud scale testing and improve test reliability and reporting.

Leads cross-functional technical projects and owns, scales, and improves platform and business operations systems. Builds production features, evaluates technologies, designs scalable architectures, enhances automation and analytics, collaborates with customers and internal stakeholders, and drives adoption and operational outcomes in a fast-paced SaaS environment.