Infrastructure and DevOps Architect

Intel Corporation•Santa Clara, CA

4d•$137,610 - $265,870•Hybrid

About The Position

We are seeking an Infrastructure and DevOps Architect to design, implement, and maintain secure, scalable infrastructure and deployment pipelines that underpin our suite of data science and decision support applications. This role sits at the intersection of software development, security, and cloud operations - owning the reliability, security posture, and delivery velocity of our platform. A strong security mindset is essential, as the team is actively preparing to handle data of increasing sensitivity, making the establishment and enforcement of secure infrastructure practices a foundational expectation of this role. Cross-functional communication is equally critical: this person must be able to translate infrastructure and security concepts clearly to both technical and non-technical stakeholders across development, data science, and security disciplines. About the Team We're a team of data scientists and application developers who work in tandem to develop self-service decision support tools. We support applications essential to the strategic design and tactical execution of semiconductor manufacturing. We are a vibrant and innovative team with a strong customer focus and proven value which drives significant impact to Intel. We also maintain a strong technical presence in prestigious internal platforms and publications, as well as external publications. As we grow, we are investing in the infrastructure and security foundations that will allow our applications and data capabilities to scale responsibly - and this role is central to that investment.

Requirements

Bachelor's degree with 4+ years of industry/post-university experience in Computer Science, Computer Engineering, Information Technology, Information Security, or a related field.
3+ years of experience administering and troubleshooting Linux-based operating systems, networking fundamentals, DNS, firewalls, and common network protocols.
3+ years of experience using Python and/or Bash scripting for automation, operational workflows, and API integrations, including the ability to read and troubleshoot application code.
2+ years of hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
2+ years of experience working with container technologies such as Docker, including container packaging and deployment concepts.
2+ years of experience working with CI/CD concepts and automation platforms such as GitHub Actions, GitLab CI, or Jenkins.
3+ years of experience using Git for source control, change tracking, and collaborative development workflows.
2+ years of experience using Infrastructure as Code (IaC) tools such as Terraform, OpenTofu, Pulumi, or Ansible for infrastructure provisioning and configuration management.

Nice To Haves

Experience with Kubernetes-native workflow orchestration (Argo Workflows, Airflow, or Prefect) for large-scale batch and job-based compute.
Master's with at least 3+ years of relevant industry/post-university experience OR PhD & 2+ years of experience.
Demonstrated experience designing and maintaining CI/CD pipelines.
Proficient in Terraform for cloud infrastructure-as-code.
Ability to work independently in an environment with limited centralized platform support, designing and documenting reference patterns rather than consuming them.
Advanced English level with strong cross-functional communication skills; ability to convey technical concepts clearly across development, data science, and security disciplines.
Familiarity with Prometheus/Mimir or equivalent metrics pipelines and Grafana and Loki for observability.
Experience with container and IaC security scanning in CI/CD (Trivy, Wiz, or equivalent), image signing, and vulnerability remediation workflows.
Experience with FastAPI or Flask for backend web API development.
MongoDB, MariaDB, MySQL or NoSQL database experience.
Experience with Azure Blob/Files storage and Kubernetes persistent storage patterns.

Responsibilities

Design, implement, and maintain secure, scalable infrastructure and deployment pipelines.
Own the reliability, security posture, and delivery velocity of the platform.
Establish and enforce secure infrastructure practices.
Translate infrastructure and security concepts clearly to both technical and non-technical stakeholders.