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Salary
$140k – $200k per year
Location
In office (Santa Clara)
Seniority
Senior · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 10, 2026.

Overview
Company
Impact
Profile match
E-Space is creating an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet.

Join E-Space, a company focused on revolutionizing the design and deployment of IoT solutions in space. As a Senior DevOps Engineer, you will be responsible for designing, deploying, automating, and operating the infrastructure that supports High-Performance Computing (HPC) and Electronic Design Automation (EDA) workloads. You will work across various environments, including on-premises, AWS, and Azure, and collaborate with software, IT, security, and engineering teams.

Missions

  • Design, deploy, automate, and operate the compute, storage, licensing, and CI/CD platforms that support High-Performance Computing (HPC) and Electronic Design Automation (EDA) workloads across on-premises, AWS, and Azure environments.
  • Build, maintain, and improve Jenkins or equivalent CI/CD pipelines for EDA and HPC engineering workflows, including automated software deployment, environment configuration, validation, and regression testing.
  • Standardize EDA tool packaging, deployment, configuration, and version management, and establish repeatable processes for promoting tool and infrastructure changes across development and production environments.

Profil recherché

- Experience managing NAS and high-performance storage platforms, including TrueNAS, NetApp ONTAP, or AWS FSx for NetApp ONTAP

- Ability to work across software, IT, security, and engineering teams; document technical decisions and operating procedures; and lead infrastructure improvements from design through production operation

- Practical experience with HPC job schedulers such as Slurm, Platform LSF, or SGE, including workload management, resource allocation, and scheduler integration

- Strong administration skills with Red Hat Enterprise Linux and Ubuntu, including automation, troubleshooting, performance analysis, and production operations

- Experience deploying and administering FlexLM or other software-license management systems, with responsibility for availability, monitoring, and compliance

- Demonstrated experience designing, automating, and operating reliable infrastructure for semiconductor EDA, HPC, or similarly compute-intensive engineering environments

- Experience administering LDAP, Active Directory, SSO, access controls, and security or audit logging in an engineering environment

- Experience deploying and operating hybrid environments across on-premises infrastructure and AWS or Azure, including secure networking, auto-scaling, or cloud bursting

- Experience with virtualization technologies such as Xen, VMware, or KVM

- Typical background: 8+ years of experience in DevOps, infrastructure engineering, systems engineering, or a related discipline, including 5+ years supporting semiconductor EDA or HPC environments. Equivalent demonstrated expertise is also welcome; these are guidelines rather than mandatory minimums

- Strong experience building and operating CI/CD pipelines using Jenkins or an equivalent platform, including automated deployment, configuration, validation, and operational workflows

- Experience with semiconductor design flows, EDA applications, and the compute, storage, and licensing requirements of chip-development teams

- Experience automating EDA tool deployment, configuration, version management, validation, and regression workflows

- Experience implementing hybrid-cloud bursting and elastic HPC orchestration

- Experience deploying or operating AWS ParallelCluster

- Experience deploying or administering MATLAB Parallel Server, including integration with HPC schedulers and compute clusters

- Experience integrating Linux-based engineering infrastructure with Windows workstation environments

- Experience improving platform reliability through monitoring, capacity planning, and continuous operational improvement

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