Top Artificial Intelligence DevOps & Platform Engineering Jobs

Designs and operates AWS and Kubernetes infrastructure, CI/CD systems, GitOps workflows, and internal developer platforms. The role improves reliability, scalability, observability, deployment velocity, and operational maturity across production systems and data pipelines. Responsibilities include infrastructure as code, monitoring, autoscaling, incident response, debugging across application and infrastructure layers, and partnering with engineering teams on platform standards and developer productivity.

Designs and operates AWS infrastructure, Terraform configurations, CI/CD and release pipelines, incident response, on-call processes, and operational governance. The role establishes scalable AWS account, identity, networking, and security practices; manages rollback procedures; authors version-controlled policies and documentation; supports observability and secrets management; and partners with engineering, security, and quality teams to integrate new workloads, including IoT analytics platforms.

Designs and operates AWS cloud infrastructure, Terraform configurations, CI/CD pipelines, release processes, incident response, and business-hours on-call operations. Establishes scalable AWS account, identity, networking, and governance practices; maintains version-controlled operational policies, runbooks, and architecture documentation; and partners with Engineering, Security, and Quality teams to ensure reliable, auditable infrastructure and releases. The role also supports new IoT analytics workloads and reviews infrastructure and pipeline changes.

Own the architecture and evolution of Crucible, building deployment systems, developer tooling, services, and platform abstractions. Lead technical roadmap development, solve complex deployment challenges, improve production reliability and security, and eliminate recurring operational issues. Provide hands-on technical leadership through system design, coding, code review, documentation, and engineering standards while improving developer productivity, deployment speed, platform adoption, and customer deployment success.

Administer and sustain secure mission application environments, including Windows and Linux systems, application servers, enterprise platforms, and cloud production environments. Responsibilities include patching, configuration management, access control, monitoring, backups, troubleshooting, security hardening, incident response, documentation, outage coordination, compliance, operational readiness, and continuity planning.

Build and operate financial infrastructure for money movement, ledgers, payment lifecycles, provider integrations, and AWS production systems. Develop Go and PostgreSQL services, APIs, dashboards, and Next.js interfaces while managing reliability, observability, reconciliation, failure recovery, and deployment tooling. This early full-stack role requires ownership across the UI, API, database, financial providers, and cloud infrastructure in an in-person Miami environment.

Lead the architecture, governance, reliability, security, and operation of highly scalable Azure infrastructure supporting large-scale security data workloads. Own SRE practices, SLOs, observability, disaster recovery, CI/CD, infrastructure as code, DevSecOps, container orchestration, and platform automation. Partner with engineering, AI/ML, product, and security teams to optimize performance and costs, ensure workload portability, and mentor teams on Azure architecture and reliability.

Owns cloud infrastructure, developer productivity, AI tooling, SRE, and production support for a rapidly scaling engineering organization. The role requires hands-on technical leadership, troubleshooting across databases, networking, compute, Docker, and Kubernetes, while building a platform team from two to five or six people. Responsibilities also include establishing on-call, SLA, SLO, and broader SRE practices, recruiting team members, and expanding infrastructure, developer productivity, and production support functions.

Build and maintain developer tooling, cloud infrastructure, data platforms, CI/CD pipelines, observability, and production ML infrastructure. Manage AWS, EKS, Terraform, Snowflake, dbt, and Prefect environments; improve deployment reliability, data quality, model serving, and cloud cost efficiency. Collaborate closely with backend engineers, data scientists, analysts, and product managers while researching and rolling out improvements across the company.

Serve as a hands-on technical lead managing cloud environments, servers, Microsoft enterprise systems, networking, security controls, automation, compliance, backups, and corporate IT support. Develop scripts, administer endpoints and identities, support CMMC and NIST SP 800-171 compliance, troubleshoot infrastructure issues, coordinate vendors, and maintain secure separation across multiple affiliated companies.