$137,610 - $265,870 USD yearly
Originally posted 10 November 2026 by the employer.
About the role
This role designs, implements, and maintains secure, scalable infrastructure and deployment pipelines that underpin a suite of data science and decision support applications for semiconductor manufacturing.
What you'll do
- Own the reliability, security posture, and delivery velocity of the data science and decision support platform.
- Establish and enforce secure infrastructure practices to handle data of increasing sensitivity.
- Design, implement, and maintain deployment pipelines and cloud infrastructure supporting manufacturing applications.
- Translate infrastructure and security concepts clearly to technical and non-technical stakeholders across development, data science, and security disciplines.
What you'll need
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Information Security, or a related STEM field with 5+ years of industry/post-university experience.
- 6+ years of experience using Python and/or Bash for automation, API integrations, and application troubleshooting.
- 4+ years of experience administering Linux systems and managing DNS, firewalls, and core network protocols.
- 2+ years of experience with at least one major cloud provider (AWS, Azure, or GCP) and 2+ years with Kubernetes.
- 2+ years of experience with CI/CD pipelines and tools such as GitHub Actions, GitLab CI, or Jenkins.
- 2+ years of experience with Infrastructure as Code (IaC) tools such as Terraform, OpenTofu, Pulumi, or Ansible for provisioning and configuration management, alongside 3+ years using Git for source control.
Nice to have
- Master's degree with 3+ years of relevant industry/post-university experience.
- Experience with Kubernetes-native workflow orchestration (Argo Workflows, Airflow, or Prefect) for large-scale batch and job-based compute.
- Familiarity with Prometheus/Mimir or equivalent metrics pipelines, 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 configuring workload identity and access control (preferably using EntraID) and advanced secrets management tooling (e.g., HashiCorp Vault, SOPS).
- Experience with FastAPI or Flask, databases (MongoDB, MariaDB, MySQL, or NoSQL), and Azure Blob/Files storage or Kubernetes persistent storage patterns.
Skills: Kubernetes, CI/CD, Terraform, Python, DevSecOps
More semiconductor jobs: Intel Corporation jobs · Arizona jobs
First seen in our index 0 days ago, well below the 55-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
1027
|
Median days since first seen
55 d
|
Category median salary (all employers)
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Intel Corporation | All employers we track in this specialty (1027 roles · 93 employers) |
|---|---|---|
| Open roles in this specialty | 36 | 1027 |
| Open roles in the wider Software, Firmware & Systems family | 235 | 6610 · 157 employers |
| Median days since first seen | 22 d | 55 d (+33 d vs this employer) |
| Median salary (USD postings) | n/a | $236k |
Skills observed across this category: Kubernetes, CI/CD, Terraform, Python, DevSecOps
Who's hiring in this category
- NVIDIA · 339 open roles · median 60 d
- Qualcomm · 56 open roles · median 60 d
- AMD · 55 open roles · median 38 d
- Graphcore · 48 open roles · median 103 d
- Intel Corporation (this employer) · 39 open roles · median 25 d
- Arm Holdings · 36 open roles · median 13 d
How we counted: 1027 open Infrastructure/Platform Software (Infrastructure Platform) roles from 93 employers tracked in the SemiconductorJobs index, counted 10 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.