Senior Solutions Architect, Container Services
Listed on 2026-10-22
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IT/Tech
Systems Engineer, Cloud Computing: Infrastructure & Operations
Oracle Cloud Infrastructure (OCI) is seeking a Senior Solutions Architect to help customers adopt and scale applications using Oracle Kubernetes Engine (OKE), Container Instances, and Functions. You will work directly with developers, platform engineers, and technology leaders to understand their requirements, recommend appropriate architectures, and turn technical challenges into working solutions.
This is a hands-on, customer-facing individual contributor role. You will design and build prototypes, troubleshoot complex integrations, guide migrations, and help customers move from evaluation to production. Working closely with product management, engineering, and field teams, you will develop practical solutions to adoption barriers and turn successful customer implementations into reusable architectures, automation, demonstrations, and technical guidance.
The ideal candidate brings:
- 5+ years of relevant experience in solutions architecture, cloud engineering, platform engineering, software development, or related technical roles.
- Hands-on experience deploying and operating production Kubernetes and containerized workloads, with strong knowledge of Linux, networking, storage, identity, and application security.
- Experience with OCI or comparable public-cloud platforms, including managed Kubernetes, container runtimes, registries, and serverless applications.
- Experience with developer tool chains, Terraform, infrastructure as code, CI/CD pipelines, and Kubernetes deployment tools such as Helm or Git Ops.
- The ability to write, test, and debug application and automation code using Python, Go, Java, shell scripting, or comparable languages.
- Strong customer discovery, troubleshooting, and communication skills, with the ability to explain architectural tradeoffs to technical teams and executive audiences.
- Demonstrated success coordinating across product, engineering, and customer teams, navigating ambiguity, and translating technical work into measurable customer outcomes.
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