Staff Engineer who will design, build, and operate the Forge Platform—a distributed-systems foundation serving autonomy, ML Ops, simulation, and application teams. You will own architecture and technical standards for workflow orchestration, asynchronous processing, event-driven systems, and long-running service workflows while remaining hands-on in implementation, production troubleshooting, and reliability improvement.… Required: strong production experience with distributed systems, cloud-native platforms, or backend infrastructure; fluency in Go and Python; deep understanding of failure handling, consistency, fault tolerance, and state management; and ability to turn recurring infrastructure needs into reusable platform capabilities. You will work across Kubernetes, service networking, observability, and data pipelines to enable downstream teams to move faster on mission-critical systems.
cni-plugins jobs in San Diego
Staff Engineer responsible for designing, building, and operating the Forge Platform—a distributed-systems foundation serving autonomy, ML, simulation, and test teams. You will architect cloud-native backend infrastructure, establish reusable platform capabilities, define technical standards, and remain hands-on in production troubleshooting, performance analysis, and reliability improvement.… Required: deep expertise in production distributed systems, Go and Python, workflow orchestration, and the ability to translate complex architecture into usable interfaces across multiple downstream teams.
A Software Integration Engineer at SAIC will design, develop, and deploy a hybrid container/virtualization platform supporting enterprise-scale workloads across on-prem and cloud environments. The role encompasses infrastructure-as-code automation, Kubernetes cluster configuration, DevSecOps practices, and integration of core platform services (identity/SSO, PKI, DNS, logging/SIEM, monitoring, secrets management).… Responsibilities include automating verification/validation, establishing CI/CD pipelines and standard operating procedures, supporting GPU-enabled AI/ML workloads, and mentoring junior engineers on cloud-native best practices. The position requires 7–9+ years of experience with cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), virtualization (VMware, Hyper-V, KVM), infrastructure-as-code tools (Terraform, Ansible, Puppet), and DevSecOps toolchains (ArgoCD, GitLab, Jenkins).
Design, develop, and deploy a hybrid container/virtualization platform serving enterprise workloads across on-prem and cloud environments. Integrate core platform services (identity, PKI, DNS, logging, monitoring, secrets management) and support GPU-enabled AI/ML workloads.… Establish CI/CD pipelines, Infrastructure-as-Code automation, and standard operating procedures for configuration management, verification, and patch management. Lead cross-functional teams on containerization, DevSecOps, incident response, and ATO compliance efforts.