Staffing Pros, a division of VETS Inc., is recruiting for a full-time DevOps Engineer. We are seeking an experienced DevOps Engineer to join our team. As a DevOps Engineer, you will play a crucial role in automating and optimizing our DevOps toolchain, ensuring seamless collaboration between development and operations teams. Your expertise in automating processes and integrating tools will directly impact on the efficiency and quality of our software delivery. This will include optimizing existing CI/CD pipelines to work in AirGap cloud settings and support automation of customer development desktops for the best customer experience possible. Key Responsibilities: DevOps: Design, deploy, and operate Azure infrastructure using IaC (Bicep/Terraform) for repeatable, scalable environments. Build and maintain Azure Pipelines to automate provisioning of VMs, Key Vault, networking, and platform services. Enforce GitOps-based baselines for versioned, traceable, consistent configuration across environments. Create and maintain golden image pipelines using Packer (images-as-code) to support enterprise workloads. Ensure security compliance (CMKs, encryption, approved baselines) and integrate IAM via AD/Entra ID (federation/SSO such as Keycloak). Security & Compliance: Operate and maintain secure enterprise environments in alignment with DoD security standards, utilizing vulnerability management tools such as Nessus Security Center. Ensure all virtual machines and platform resources are properly configured to send telemetry and logs to a centralized Azure Log Analytics workspace. Perform enterprise-scale patching and update management using WSUS or equivalent update management solutions. Participate in change management and review boards, supporting boundary changes and ensuring compliance with enterprise governance processes. Customer Onboarding & Operations: Tailor infrastructure parameter templates to customer workload and hardware requirements. Deploy Azure infrastructure via established CI/CD pipelines into enterprise environments. Document customer configurations and operational details in Confluence. Coordinate with onsite and remote teams to validate configurations and ensure handoff readiness. Provide Tier 1 operational support, including automated baseline desktop and software installs (DSC, Packer). Automation & Container Enablement: Develop and maintain automation solutions using Bicep and/or Terraform to minimize manual intervention and improve deployment reliability. Support container image movement and lifecycle management using tools such as Skopeo, Crane, and Podman, ensuring secure and repeatable container workflows. Architect and develop, automate, deploy and manage AKS based applications to support developers Qualifications: Security+ Certification is required Experience working in a classified Azure Region or delivering software into an AirGapped network Experience deploying Microsoft infrastructure using Terraform or Bicep Bachelors degree in computer science, Engineering, or related Field AND 3+ years leadership experience in relevant area of business OR equivalent experience 8+ years demonstrated performance in related technology Requirements: Must be within driving distance of Beavercreek, OH OR willing to relocate there (relocation packages available) Must be willing to work onsite Must possess an active TS/ SCI clearance or above Please note that pursuant to a government contract, this specific position requires U.S. citizenship status EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.
08/05/2026
Staffing Pros, a division of VETS Inc., is recruiting for a full-time DevOps Engineer. We are seeking an experienced DevOps Engineer to join our team. As a DevOps Engineer, you will play a crucial role in automating and optimizing our DevOps toolchain, ensuring seamless collaboration between development and operations teams. Your expertise in automating processes and integrating tools will directly impact on the efficiency and quality of our software delivery. This will include optimizing existing CI/CD pipelines to work in AirGap cloud settings and support automation of customer development desktops for the best customer experience possible. Key Responsibilities: DevOps: Design, deploy, and operate Azure infrastructure using IaC (Bicep/Terraform) for repeatable, scalable environments. Build and maintain Azure Pipelines to automate provisioning of VMs, Key Vault, networking, and platform services. Enforce GitOps-based baselines for versioned, traceable, consistent configuration across environments. Create and maintain golden image pipelines using Packer (images-as-code) to support enterprise workloads. Ensure security compliance (CMKs, encryption, approved baselines) and integrate IAM via AD/Entra ID (federation/SSO such as Keycloak). Security & Compliance: Operate and maintain secure enterprise environments in alignment with DoD security standards, utilizing vulnerability management tools such as Nessus Security Center. Ensure all virtual machines and platform resources are properly configured to send telemetry and logs to a centralized Azure Log Analytics workspace. Perform enterprise-scale patching and update management using WSUS or equivalent update management solutions. Participate in change management and review boards, supporting boundary changes and ensuring compliance with enterprise governance processes. Customer Onboarding & Operations: Tailor infrastructure parameter templates to customer workload and hardware requirements. Deploy Azure infrastructure via established CI/CD pipelines into enterprise environments. Document customer configurations and operational details in Confluence. Coordinate with onsite and remote teams to validate configurations and ensure handoff readiness. Provide Tier 1 operational support, including automated baseline desktop and software installs (DSC, Packer). Automation & Container Enablement: Develop and maintain automation solutions using Bicep and/or Terraform to minimize manual intervention and improve deployment reliability. Support container image movement and lifecycle management using tools such as Skopeo, Crane, and Podman, ensuring secure and repeatable container workflows. Architect and develop, automate, deploy and manage AKS based applications to support developers Qualifications: Security+ Certification is required Experience working in a classified Azure Region or delivering software into an AirGapped network Experience deploying Microsoft infrastructure using Terraform or Bicep Bachelors degree in computer science, Engineering, or related Field AND 3+ years leadership experience in relevant area of business OR equivalent experience 8+ years demonstrated performance in related technology Requirements: Must be within driving distance of Beavercreek, OH OR willing to relocate there (relocation packages available) Must be willing to work onsite Must possess an active TS/ SCI clearance or above Please note that pursuant to a government contract, this specific position requires U.S. citizenship status EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.
Staffing Pros, a division of VETS Inc., is recruiting for a full-time Software Packaging Engineer. This senior engineering position requires extensive hands-on experience in packaging, testing, and delivering baseline and non-baseline software to both classified and unclassified government networks. The software will be used on Standard Operating Environment (SOE) devices and made available via Intune, the Software Center, PAT, and/or MCM. The software packaging engineer is responsible for ensuring the interoperability of applications on supported Windows 11 endpoints. The position will have a hybrid telework arrangement with on-site presence three (3) days a week, at a secure government facility in Washington, DC. Work schedule will be Monday through Friday during normal business hours. Work location and schedule are subject to change based on government requirements. Responsibilities: Manage the workflow for packaging requests for baseline and non-baseline applications deployed on the SOE platforms on the unclassified and classified networks. This duty involves close coordination with application owners to build, test, perform user acceptance, and publish the package via Intune, PAT, MCM, Software Center or FTP. Perform Application Packaging Scripting in support of department Standards to ensure installed software meets specified guidance and customized installation requirements. Perform Operating System Deployment (OSD) engineering for Windows 11 platforms. These duties include Windows Imaging (WIM) creation, task sequence creation, testing, and publishing. Perform lifecycle application support related to security updates. This duty involves packaging, publishing, performing User Acceptance Testing, and providing Tier 3 software support. Responsibilities include supporting User Acceptance Testing (UAT), troubleshooting deployment issues, creating deployment scripts, and maintaining an application catalog. Creating and maintaining automated application deployment packages. Required Qualifications: Bachelor's degree and 9 years' experience; may accept experience in lieu of degree. Extensive hands-on experience in creating silent installations for Adobe, AutoCAD and Microsoft products. Extensive hands-on experience in preparing and deploying MS cumulative updates to endpoints via Intune. 3-5 years of experience with Microsoft MCM. 1-3 years of experience packaging applications for Windows 11 platforms. Experience working in classified and/or unclassified government environments with greater than 10,000 endpoints. Experience with scripting to include PowerShell and VBScript. Hands-on experience scripting silent installations for COTS/GOTS. Experience packaging applications with various licensing models. Experience working in team environments. Excellent written and verbal communication skills. Capable of working well within a collaborative environment as an integral member of a project team. Must have an Active Top Secret clearance. Must be a U.S. citizen. Preferred Qualifications: Experience with Intune's Delivery Optimization, Microsoft Connected Cache (MCC), Windows Update for Business (WUfB) and enterprise content distribution. Experience developing enterprise reporting using SQL, PowerShell, and Microsoft management platforms. Past experience supporting large government agencies. Experience with Microsoft Operating System Deployment (OSD) to include Task Sequences and WIMs. EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.
08/05/2026
Staffing Pros, a division of VETS Inc., is recruiting for a full-time Software Packaging Engineer. This senior engineering position requires extensive hands-on experience in packaging, testing, and delivering baseline and non-baseline software to both classified and unclassified government networks. The software will be used on Standard Operating Environment (SOE) devices and made available via Intune, the Software Center, PAT, and/or MCM. The software packaging engineer is responsible for ensuring the interoperability of applications on supported Windows 11 endpoints. The position will have a hybrid telework arrangement with on-site presence three (3) days a week, at a secure government facility in Washington, DC. Work schedule will be Monday through Friday during normal business hours. Work location and schedule are subject to change based on government requirements. Responsibilities: Manage the workflow for packaging requests for baseline and non-baseline applications deployed on the SOE platforms on the unclassified and classified networks. This duty involves close coordination with application owners to build, test, perform user acceptance, and publish the package via Intune, PAT, MCM, Software Center or FTP. Perform Application Packaging Scripting in support of department Standards to ensure installed software meets specified guidance and customized installation requirements. Perform Operating System Deployment (OSD) engineering for Windows 11 platforms. These duties include Windows Imaging (WIM) creation, task sequence creation, testing, and publishing. Perform lifecycle application support related to security updates. This duty involves packaging, publishing, performing User Acceptance Testing, and providing Tier 3 software support. Responsibilities include supporting User Acceptance Testing (UAT), troubleshooting deployment issues, creating deployment scripts, and maintaining an application catalog. Creating and maintaining automated application deployment packages. Required Qualifications: Bachelor's degree and 9 years' experience; may accept experience in lieu of degree. Extensive hands-on experience in creating silent installations for Adobe, AutoCAD and Microsoft products. Extensive hands-on experience in preparing and deploying MS cumulative updates to endpoints via Intune. 3-5 years of experience with Microsoft MCM. 1-3 years of experience packaging applications for Windows 11 platforms. Experience working in classified and/or unclassified government environments with greater than 10,000 endpoints. Experience with scripting to include PowerShell and VBScript. Hands-on experience scripting silent installations for COTS/GOTS. Experience packaging applications with various licensing models. Experience working in team environments. Excellent written and verbal communication skills. Capable of working well within a collaborative environment as an integral member of a project team. Must have an Active Top Secret clearance. Must be a U.S. citizen. Preferred Qualifications: Experience with Intune's Delivery Optimization, Microsoft Connected Cache (MCC), Windows Update for Business (WUfB) and enterprise content distribution. Experience developing enterprise reporting using SQL, PowerShell, and Microsoft management platforms. Past experience supporting large government agencies. Experience with Microsoft Operating System Deployment (OSD) to include Task Sequences and WIMs. EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.
We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated System Administrator V for a Full-Time position. Job Summary: Serves as a Senior Systems Administrator providing advanced technical leadership, design, optimization, and operational support for enterprise servers and datacenter environments. This role supports Microsoft and Linux platforms, virtualization, enterprise storage, backup and recovery, and security initiatives while serving as a Subject Matter Expert (SME) for shared services enterprise datacenter projects. The position also leads to modernization efforts and mentors' junior system administrators. Key Responsibilities Provide senior-level system administration support for enterprise servers and datacenter environments Design, optimize, and maintain enterprise platforms supporting mission-critical operations Administer and support Microsoft Windows Server and Linux operating systems Support and manage virtualization platforms, including VMware, and enterprise storage solutions Lead server modernization initiatives, including system upgrades and technology refresh efforts Perform backup and recovery operations for Data Operations Centers (DOC) Conduct system patching, performance tuning, capacity planning, and resource optimization Provide Tier II/III escalation support and technical guidance to lower-tier support teams Support enterprise security initiatives and datacenter physical security tools and applications Utilize DCIM tools to monitor, manage, and optimize datacenter infrastructure Perform hardware and software upgrades and maintain operational configurations Develop and maintain technical, operational, and project management documentation Serve as a Subject Matter Expert (SME) for Shared Services Enterprise Datacenter IT projects Lead and participate in enterprise technical initiatives and cross-functional projects Mentor and coach junior system administrators Collaborate with cross-departmental teams and communicate effectively through written documentation, verbal communication, and presentations Required Qualifications Associate's degree, technical training certificate, or equivalent combination of education and experience Minimum of 5 years of related technical experience supporting enterprise or datacenter-level IT environments Proven experience supporting: Microsoft Windows Server environments Linux operating systems Enterprise Microsoft products and management tools VMware virtualization platforms Experience with backup and recovery, system patching, performance tuning, and capacity planning Experience with enterprise storage solutions and infrastructure optimization Experience using industry-standard datacenter physical security tools and applications Working knowledge of DCIM tools and datacenter infrastructure management Preferred / Additional Skills Basic knowledge of scripting and programming languages, including: PowerShell Visual Basic .NET C# Strong troubleshooting skills with the ability to independently resolve highly complex technical issues Demonstrated ability to work with minimal supervision Proven leadership skills and experience leading technical efforts and projects Ability to mentor junior technical staff Excellent interdepartmental communication skills (written, verbal, and presentations) Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!
08/05/2026
Full time
We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated System Administrator V for a Full-Time position. Job Summary: Serves as a Senior Systems Administrator providing advanced technical leadership, design, optimization, and operational support for enterprise servers and datacenter environments. This role supports Microsoft and Linux platforms, virtualization, enterprise storage, backup and recovery, and security initiatives while serving as a Subject Matter Expert (SME) for shared services enterprise datacenter projects. The position also leads to modernization efforts and mentors' junior system administrators. Key Responsibilities Provide senior-level system administration support for enterprise servers and datacenter environments Design, optimize, and maintain enterprise platforms supporting mission-critical operations Administer and support Microsoft Windows Server and Linux operating systems Support and manage virtualization platforms, including VMware, and enterprise storage solutions Lead server modernization initiatives, including system upgrades and technology refresh efforts Perform backup and recovery operations for Data Operations Centers (DOC) Conduct system patching, performance tuning, capacity planning, and resource optimization Provide Tier II/III escalation support and technical guidance to lower-tier support teams Support enterprise security initiatives and datacenter physical security tools and applications Utilize DCIM tools to monitor, manage, and optimize datacenter infrastructure Perform hardware and software upgrades and maintain operational configurations Develop and maintain technical, operational, and project management documentation Serve as a Subject Matter Expert (SME) for Shared Services Enterprise Datacenter IT projects Lead and participate in enterprise technical initiatives and cross-functional projects Mentor and coach junior system administrators Collaborate with cross-departmental teams and communicate effectively through written documentation, verbal communication, and presentations Required Qualifications Associate's degree, technical training certificate, or equivalent combination of education and experience Minimum of 5 years of related technical experience supporting enterprise or datacenter-level IT environments Proven experience supporting: Microsoft Windows Server environments Linux operating systems Enterprise Microsoft products and management tools VMware virtualization platforms Experience with backup and recovery, system patching, performance tuning, and capacity planning Experience with enterprise storage solutions and infrastructure optimization Experience using industry-standard datacenter physical security tools and applications Working knowledge of DCIM tools and datacenter infrastructure management Preferred / Additional Skills Basic knowledge of scripting and programming languages, including: PowerShell Visual Basic .NET C# Strong troubleshooting skills with the ability to independently resolve highly complex technical issues Demonstrated ability to work with minimal supervision Proven leadership skills and experience leading technical efforts and projects Ability to mentor junior technical staff Excellent interdepartmental communication skills (written, verbal, and presentations) Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!
Williams-Sonoma, Inc. has the following position available in Tracy, CA: Staff Software Engineer (WSI-MP): Work with the Architecture team to craft technical designs & drive the evolution of our data platform & pipeline architecture. The base pay range for this position is $220,600 - $240,600. Submit resume to: , must reference job title & job code: WSI-MP. In addition to competitive pay, compensation may include a variety of additional components like benefits, paid time off, merit, or bonus opportunities.
08/05/2026
Full time
Williams-Sonoma, Inc. has the following position available in Tracy, CA: Staff Software Engineer (WSI-MP): Work with the Architecture team to craft technical designs & drive the evolution of our data platform & pipeline architecture. The base pay range for this position is $220,600 - $240,600. Submit resume to: , must reference job title & job code: WSI-MP. In addition to competitive pay, compensation may include a variety of additional components like benefits, paid time off, merit, or bonus opportunities.
Position: Cloud DevSecOps Engineer IV Location: Birmingham, AL Duration: 6 months Job ID: 178667 Job Overview: The Cloud DevSecOps Engineer IV contributes to the advancement of cloud strategy by developing, communicating, and implementing robust and secure cloud continuous integration and continuous delivery (CI/CD) pipelines. This role collaborates closely with stakeholders to create fully automated pipelines that align with current DevSecOps best practices. Responsibilities: Partner with engineers and IT staff to orchestrate code builds, quality and security analyses, deployments, and automated testing through CI/CD pipelines. Translate business needs into technology solutions. Model release candidate CI/CD pipelines to communicate the states and steps necessary for application and service release candidates. Design and develop fully autonomous CI/CD pipelines for cloud deployments, including automation of infrastructure services and application build and deployment. Ensure all pipeline components follow best software engineering practices, including automated tests and infrastructure tests. Research new technologies to improve efficiency and effectiveness. Implement scalable CI/CD platforms to support high change volumes and fast feedback. Complete project work and contribute to the technical direction of various objectives. Automate operational activities and tasks. Respond to performance issues identified by alerts and reported incidents related to CI/CD platforms. Build tools to reduce errors and improve customer experiences. Troubleshoot production issues and ensure pipelines and infrastructure provide clear documentation and metrics for root cause analysis. Develop and test Ansible Playbooks, Terraform Scripts, and Packer Scripts to establish immutable infrastructure. Collaborate with Enterprise Architecture, Information Security (InfoSec), Software Delivery, and Quality Assurance teams to enable cloud automation. Act as a resource and mentor for colleagues with less experience. Qualifications: High School Diploma or GED and ten (10) years of related post-secondary education and/or experience in Information Security or Information Technology. Preferences: Six (6) years of relevant DevSecOps experience. AWS DevOps certification or Azure DevOps certification. Experience in building and deploying cloud-native applications, such as OpenShift and Azure Kubernetes Service (AKS). Experience in observing real-time metrics in pipelines and deployment strategies, including Blue/Green and Canary Deployment. Experience with AWS or Azure cloud technologies. Experience interfacing with secrets management solutions like HashiCorp Vault. Familiarity with implementing Chaos engineering principles in pipelines to identify weak links and suggest solutions. Familiarity with testing tools for automation and integration into CI/CD pipelines. Proficiency in developing pipelines as code using YAML specs and Ansible Playbooks. Skills and Competencies: Excellent communication skills and ability to mentor developers and team members in DevSecOps practices. Strong knowledge of cloud infrastructure, networking services, and architectural patterns, including virtual machines, managed infrastructure, containers, serverless, database services, security services, and application services. Proficiency in Python programming language. Understanding of Shift Left principles and facilitation technologies. Working knowledge of Jenkins, Azure DevOps, Ansible, Terraform, Packer, Git, and ServiceNow. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $70 - $75/hr. W2. The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
08/05/2026
Full time
Position: Cloud DevSecOps Engineer IV Location: Birmingham, AL Duration: 6 months Job ID: 178667 Job Overview: The Cloud DevSecOps Engineer IV contributes to the advancement of cloud strategy by developing, communicating, and implementing robust and secure cloud continuous integration and continuous delivery (CI/CD) pipelines. This role collaborates closely with stakeholders to create fully automated pipelines that align with current DevSecOps best practices. Responsibilities: Partner with engineers and IT staff to orchestrate code builds, quality and security analyses, deployments, and automated testing through CI/CD pipelines. Translate business needs into technology solutions. Model release candidate CI/CD pipelines to communicate the states and steps necessary for application and service release candidates. Design and develop fully autonomous CI/CD pipelines for cloud deployments, including automation of infrastructure services and application build and deployment. Ensure all pipeline components follow best software engineering practices, including automated tests and infrastructure tests. Research new technologies to improve efficiency and effectiveness. Implement scalable CI/CD platforms to support high change volumes and fast feedback. Complete project work and contribute to the technical direction of various objectives. Automate operational activities and tasks. Respond to performance issues identified by alerts and reported incidents related to CI/CD platforms. Build tools to reduce errors and improve customer experiences. Troubleshoot production issues and ensure pipelines and infrastructure provide clear documentation and metrics for root cause analysis. Develop and test Ansible Playbooks, Terraform Scripts, and Packer Scripts to establish immutable infrastructure. Collaborate with Enterprise Architecture, Information Security (InfoSec), Software Delivery, and Quality Assurance teams to enable cloud automation. Act as a resource and mentor for colleagues with less experience. Qualifications: High School Diploma or GED and ten (10) years of related post-secondary education and/or experience in Information Security or Information Technology. Preferences: Six (6) years of relevant DevSecOps experience. AWS DevOps certification or Azure DevOps certification. Experience in building and deploying cloud-native applications, such as OpenShift and Azure Kubernetes Service (AKS). Experience in observing real-time metrics in pipelines and deployment strategies, including Blue/Green and Canary Deployment. Experience with AWS or Azure cloud technologies. Experience interfacing with secrets management solutions like HashiCorp Vault. Familiarity with implementing Chaos engineering principles in pipelines to identify weak links and suggest solutions. Familiarity with testing tools for automation and integration into CI/CD pipelines. Proficiency in developing pipelines as code using YAML specs and Ansible Playbooks. Skills and Competencies: Excellent communication skills and ability to mentor developers and team members in DevSecOps practices. Strong knowledge of cloud infrastructure, networking services, and architectural patterns, including virtual machines, managed infrastructure, containers, serverless, database services, security services, and application services. Proficiency in Python programming language. Understanding of Shift Left principles and facilitation technologies. Working knowledge of Jenkins, Azure DevOps, Ansible, Terraform, Packer, Git, and ServiceNow. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $70 - $75/hr. W2. The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
Job Overview: Pay Range $50hr - $55hr Hands-on experience in building and optimizing backend applications using Java and Python, ensuring high performance and scalability of APIs. Advanced knowledge of building and maintaining efficient Java-based APIs for large-scale data processing tasks, including the development and optimization of complex backend services. Comprehensive understanding of cloud technologies, with hands-on experience in managing and processing data effectively, and integrating backend services with cloud platforms. Requirement/Must Have: 1+ years of experience in building and optimizing backend applications using Java and Python. Advanced knowledge of building and maintaining efficient Java-based APIs. Experience with large-scale data processing tasks. Understanding of cloud technologies. Skills: Java. Python. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
08/05/2026
Full time
Job Overview: Pay Range $50hr - $55hr Hands-on experience in building and optimizing backend applications using Java and Python, ensuring high performance and scalability of APIs. Advanced knowledge of building and maintaining efficient Java-based APIs for large-scale data processing tasks, including the development and optimization of complex backend services. Comprehensive understanding of cloud technologies, with hands-on experience in managing and processing data effectively, and integrating backend services with cloud platforms. Requirement/Must Have: 1+ years of experience in building and optimizing backend applications using Java and Python. Advanced knowledge of building and maintaining efficient Java-based APIs. Experience with large-scale data processing tasks. Understanding of cloud technologies. Skills: Java. Python. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Job Overview: Pay Range $19hr - $24hr Requirement/Must Have: 5+ years of experience in desktop support or systems engineering within enterprise environments. Strong verbal and written communication skills. Ability to communicate effectively with stakeholders. Responsibilities: Coordinate remote troubleshooting sessions using secure enterprise tools to address software issues and configuration conflicts and to restore workstation functionality in a timely manner. Implement standardized desktop images and configuration baselines to ensure consistent performance, security hardening and compliance with organizational technology policies. Administer endpoint management platforms to deploy software packages, patches and configuration updates with minimal disruption to business operations. Monitor desktop environment health through centralized dashboards and logs to identify incident trends and propose preventive improvements for long term stability. Collaborate with service desk teams to handle ticket escalations and provide detailed technical guidance that accelerates resolution times and improves first contact effectiveness. Document desktop procedures, knowledge articles and resolution steps in a clear and reusable format to support continuous improvement and reduce repeated incidents. Perform root cause analysis for recurring desktop issues and recommend sustainable remediation actions that enhance reliability and reduce support workload. Coordinate with network and application teams to validate that endpoint configurations support connectivity, security and application performance requirements. Execute asset management tasks such as workstation lifecycle tracking, hardware validation and software license verification to maintain accurate inventory records. Support security initiatives by applying endpoint security controls, running compliance checks and assisting in remediation of vulnerabilities identified through internal assessments. Engage with business users to understand their desktop usage patterns and recommend configuration optimizations that positively influence productivity and digital experience. Participate in continuous improvement activities by evaluating new desktop tools, frameworks and automation opportunities that can streamline support processes and reduce manual effort. Skills: Advanced proficiency in workstation operating systems, endpoint configuration, user profile management and desktop application support. Applied experience with enterprise endpoint management platforms for software distribution, patch management, inventory and policy enforcement. Practical knowledge of security fundamentals including endpoint protection tools, encryption policies and compliance practices related to workstation environments. Familiarity with scripting or automation approaches for desktop tasks such as log collection, configuration changes or basic remediation workflows. Education and Experience: Possess a bachelor's degree or equivalent experience in information technology, computer science or a related discipline with a strong focus on infrastructure and systems support. Demonstrate eight to ten years of hands-on experience in desktop support or systems engineering within enterprise environments, including exposure to complex incident handling and escalation processes. Communicate clearly with technical and non-technical stakeholders by explaining incident status, remediation steps and preventive recommendations in an accessible and respectful manner. Adapt effectively to a work-from-office environment by providing in-person support, managing walk-up requests and coordinating closely with on-site teams for timely issue resolution. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
08/05/2026
Full time
Job Overview: Pay Range $19hr - $24hr Requirement/Must Have: 5+ years of experience in desktop support or systems engineering within enterprise environments. Strong verbal and written communication skills. Ability to communicate effectively with stakeholders. Responsibilities: Coordinate remote troubleshooting sessions using secure enterprise tools to address software issues and configuration conflicts and to restore workstation functionality in a timely manner. Implement standardized desktop images and configuration baselines to ensure consistent performance, security hardening and compliance with organizational technology policies. Administer endpoint management platforms to deploy software packages, patches and configuration updates with minimal disruption to business operations. Monitor desktop environment health through centralized dashboards and logs to identify incident trends and propose preventive improvements for long term stability. Collaborate with service desk teams to handle ticket escalations and provide detailed technical guidance that accelerates resolution times and improves first contact effectiveness. Document desktop procedures, knowledge articles and resolution steps in a clear and reusable format to support continuous improvement and reduce repeated incidents. Perform root cause analysis for recurring desktop issues and recommend sustainable remediation actions that enhance reliability and reduce support workload. Coordinate with network and application teams to validate that endpoint configurations support connectivity, security and application performance requirements. Execute asset management tasks such as workstation lifecycle tracking, hardware validation and software license verification to maintain accurate inventory records. Support security initiatives by applying endpoint security controls, running compliance checks and assisting in remediation of vulnerabilities identified through internal assessments. Engage with business users to understand their desktop usage patterns and recommend configuration optimizations that positively influence productivity and digital experience. Participate in continuous improvement activities by evaluating new desktop tools, frameworks and automation opportunities that can streamline support processes and reduce manual effort. Skills: Advanced proficiency in workstation operating systems, endpoint configuration, user profile management and desktop application support. Applied experience with enterprise endpoint management platforms for software distribution, patch management, inventory and policy enforcement. Practical knowledge of security fundamentals including endpoint protection tools, encryption policies and compliance practices related to workstation environments. Familiarity with scripting or automation approaches for desktop tasks such as log collection, configuration changes or basic remediation workflows. Education and Experience: Possess a bachelor's degree or equivalent experience in information technology, computer science or a related discipline with a strong focus on infrastructure and systems support. Demonstrate eight to ten years of hands-on experience in desktop support or systems engineering within enterprise environments, including exposure to complex incident handling and escalation processes. Communicate clearly with technical and non-technical stakeholders by explaining incident status, remediation steps and preventive recommendations in an accessible and respectful manner. Adapt effectively to a work-from-office environment by providing in-person support, managing walk-up requests and coordinating closely with on-site teams for timely issue resolution. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Wagstaff Description: Wagstaff manufactures equipment for aluminum producers, who process formed aluminum into parts and products you use every day. Schedule: Monday - Friday, 8 Hour Shifts Pay: $81,0000 - $130,000 Salary As an employee of Wagstaff, you'll enjoy: Paid non-working holidays Monthly, site-wide BBQs Up to 8% retirement contribution Annual bonus program 1200 Sqft onsite gym, accessible 24/hrs a day Family-friendly, company-wide events To view our full benefits summary, please visit Want to learn more about Wagstaff? Join us for a virtual tour! Job Summary Primary duties consist of the application of electrical and/or mechanical engineering knowledge to the unique set of circumstances at each customer location, including but not limited to reviewing technical proposal content, creating proposal drawings, and developing project specifications for optimal utilization of Wagstaff supplied equipment. Job Responsibilities Review technical proposal content Create proposal drawings as required Provide preliminary conceptual design drawings for proposals Develop proposal/project List of Deliverables and specifications Develop and maintain proposal product input forms Obtain site design requirements such as interfaces, process specifications, and other information for sales orders Transfer clear, complete scope of supply specifications with preliminary conceptual design drawings to engineering department for sales orders requiring design engineering Periodic domestic and international travel required depending upon customer and company business needs Assist in development of new and standard products, product variations, and systems Create and maintain product definition documents Produce product analysis studies Actively participate in final sales order contract negotiations Abide by company policies In order to achieve business objectives, work weeks in excess of 40 hours may be required Addional duties consist of the application of basic electrical or mechanical engineering knowledge related to Wagstaff supplied equipment Other duties as assigned Requirements: Bachelor of Science degree in Mechanical Engineering, Electrical Engineering or related Engineering field required Minimum 6 years of aluminum industry experience Technical knowledge of aluminum cast house equipment and processes Experience using computer automated design and applicable business software Demonstrated customer relations capability Experience in industrial capital project management Excellent communication and interpersonal skills within diverse populations Must work independently, without supervision, exercising discretion and judgment Working Environment While performing the duties of this job on Wagstaff premises, work is performed primarily in an adequately lit, well ventilated, climate controlled general office environment. Close computer work is regularly required. The work usually involves minimal physical exertion. The noise level in the general office environment is usually moderate. This job may require occasional or more frequent interaction with employees on the manufacturing shop floor. While on the shop floor, the employee may be exposed to fumes, airborne particles, toxic or caustic chemicals, risks of moving equipment and parts, and other risks associated with a manufacturing environment. Because of this environment and associated risks, coordination with shop floor managers/employees may be necessary before entering the shop floor, and use of job appropriate personal protective equipment and clothing is required on the shop floor. The noise level on the shop floor is often loud. This job may also require occasional or more frequent travel to and work at customer sites. While at customer sites, the employee may be exposed to fumes, airborne particles, toxic or caustic chemicals, risks of moving equipment and parts, and other risks associated with a construction and/or manufacturing environment. Because of this environment and associated risks, coordination with customer managers/employees may be necessary before entering the customer site, and use of job appropriate personal protective equipment and clothing is required at customer sites. The noise level at customer sites is often loud. Employment at Wagstaff is dependent on successfully passing a company-paid drug screening and background check upon hire. Benefits eligibility is subject to the terms and conditions of the applicable policies, plans and programs of Wagstaff. Wagstaff is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. PM22 Compensation details: 00 Yearly Salary PI8139f731484d-6007
08/05/2026
Full time
Wagstaff Description: Wagstaff manufactures equipment for aluminum producers, who process formed aluminum into parts and products you use every day. Schedule: Monday - Friday, 8 Hour Shifts Pay: $81,0000 - $130,000 Salary As an employee of Wagstaff, you'll enjoy: Paid non-working holidays Monthly, site-wide BBQs Up to 8% retirement contribution Annual bonus program 1200 Sqft onsite gym, accessible 24/hrs a day Family-friendly, company-wide events To view our full benefits summary, please visit Want to learn more about Wagstaff? Join us for a virtual tour! Job Summary Primary duties consist of the application of electrical and/or mechanical engineering knowledge to the unique set of circumstances at each customer location, including but not limited to reviewing technical proposal content, creating proposal drawings, and developing project specifications for optimal utilization of Wagstaff supplied equipment. Job Responsibilities Review technical proposal content Create proposal drawings as required Provide preliminary conceptual design drawings for proposals Develop proposal/project List of Deliverables and specifications Develop and maintain proposal product input forms Obtain site design requirements such as interfaces, process specifications, and other information for sales orders Transfer clear, complete scope of supply specifications with preliminary conceptual design drawings to engineering department for sales orders requiring design engineering Periodic domestic and international travel required depending upon customer and company business needs Assist in development of new and standard products, product variations, and systems Create and maintain product definition documents Produce product analysis studies Actively participate in final sales order contract negotiations Abide by company policies In order to achieve business objectives, work weeks in excess of 40 hours may be required Addional duties consist of the application of basic electrical or mechanical engineering knowledge related to Wagstaff supplied equipment Other duties as assigned Requirements: Bachelor of Science degree in Mechanical Engineering, Electrical Engineering or related Engineering field required Minimum 6 years of aluminum industry experience Technical knowledge of aluminum cast house equipment and processes Experience using computer automated design and applicable business software Demonstrated customer relations capability Experience in industrial capital project management Excellent communication and interpersonal skills within diverse populations Must work independently, without supervision, exercising discretion and judgment Working Environment While performing the duties of this job on Wagstaff premises, work is performed primarily in an adequately lit, well ventilated, climate controlled general office environment. Close computer work is regularly required. The work usually involves minimal physical exertion. The noise level in the general office environment is usually moderate. This job may require occasional or more frequent interaction with employees on the manufacturing shop floor. While on the shop floor, the employee may be exposed to fumes, airborne particles, toxic or caustic chemicals, risks of moving equipment and parts, and other risks associated with a manufacturing environment. Because of this environment and associated risks, coordination with shop floor managers/employees may be necessary before entering the shop floor, and use of job appropriate personal protective equipment and clothing is required on the shop floor. The noise level on the shop floor is often loud. This job may also require occasional or more frequent travel to and work at customer sites. While at customer sites, the employee may be exposed to fumes, airborne particles, toxic or caustic chemicals, risks of moving equipment and parts, and other risks associated with a construction and/or manufacturing environment. Because of this environment and associated risks, coordination with customer managers/employees may be necessary before entering the customer site, and use of job appropriate personal protective equipment and clothing is required at customer sites. The noise level at customer sites is often loud. Employment at Wagstaff is dependent on successfully passing a company-paid drug screening and background check upon hire. Benefits eligibility is subject to the terms and conditions of the applicable policies, plans and programs of Wagstaff. Wagstaff is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. PM22 Compensation details: 00 Yearly Salary PI8139f731484d-6007
Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIe3db0d7544b0-0085
08/05/2026
Full time
Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIe3db0d7544b0-0085
About the job Who we are: Circuit Check is the market-leading provider of automated test systems and test fixtures for complex electronic products for the automotive, military/aerospace, medical, industrial, and computer networking industries. At Circuit Check, we believe that innovation is a must, and that a challenging and robust environment where the work is consistently new and cutting edge is the best way to foster creativity. If you are ready to further your career in a fast-paced, technology driven organization where our test designs impact products that are used by millions of people around the world every day, then we invite you to join us at Circuit Check.Our design staff includes electrical, software, mechanical engineers, and project managers. Our systems are supported by staff throughout the United States, Canada, Mexico, Europe, Malaysia, and China. Primary Objective Lead the strategic development and growth of Circuit Check's most significant customer relationships in the AI/ML data center infrastructure market. Architect and execute multi-year account strategies that drive large-scale program wins, deepen executive-level partnerships, and position the company as the preferred technology partner for hyperscale and enterprise AI customers. This role does not carry a traditional sales quota; compensation includes bonus objectives tied to winning new large customers, capturing major programs, and expanding strategic account revenue. Major Areas of Accountability Strategic Account Leadership Develop and own multi-year strategic account plans for the company's largest AI/ML infrastructure customers, anticipating market shifts and positioning ahead of competitive threats Analyze customer technology roadmaps, capital expenditure patterns, and buying dynamics to identify high-value opportunities across GPU test, thermal management, power delivery, and related segments Serve as the primary executive-level interface with strategic accounts, building trusted advisor relationships with VP and C-suite decision-makers at hyperscale cloud providers, AI chipmakers, and data center operators Take decisive ownership of high-stakes negotiations, complex proposals, and multi-million-dollar program pursuits, differentiating Circuit Check solutions Cross-Functional Program Orchestration Coordinate engineering, product management and operations around customer requirements Partner with Product Line Managers to translate customer insights into product roadmap inputs aligned with AI/ML market direction Drive program management cadence for strategic accounts: pipeline reviews, executive business reviews, win/loss analysis, and quarterly assessments Market Intelligence & Growth Strategy Identify patterns in AI/ML technology adoption, supply chain shifts, and customer investment priorities that create strategic openings for Circuit Check Quantify new market opportunities through analysis of TAM, competitive dynamics, segment profitability, and technology adjacencies; present data-supported recommendations to senior leadership Build and maintain industry relationships across the AI/ML ecosystem, including suppliers, contract manufacturers, analysts, and technology partners worldwide International Business Development Develop and execute customer engagement strategies in key AI/ML hubs, with emphasis on Silicon Valley and Taiwan Navigate international business environments including multi-stakeholder decision processes and cultural dynamics across Asia-Pacific Represent the company at international conferences, trade shows, and executive briefings as an authoritative voice on AI/ML infrastructure Sales Team Collaboration & Mentorship Mentor less experienced sales team members on complex deal strategy, multi-stakeholder navigation, and executive engagement Partner with assigned account team members who maintain day-to-day relationships, providing strategic direction while developing their capabilities Collaborate with Sales Leadership to build playbooks and best practices for pursuing large AI/ML infrastructure programs Education & Experience Bachelor's degree in Engineering (Electrical, Mechanical, or related) required; MBA or advanced technical degree preferred 10+ years of progressive experience in strategic account management, business development, or program leadership in semiconductor, electronic hardware, test & measurement, data center infrastructure, or related technology sectors Track record of winning and managing multi-million-dollar programs with complex, multi-stakeholder customer organizations Strongly preferred: executive-level relationships at hyperscale cloud providers; experience in the AI/ML hardware ecosystem (GPU test/validation, liquid cooling, power distribution, rack-scale integration, or related infrastructure) International business experience preferred, especially in the Taiwan semiconductor ecosystem and/or SE Asian manufacturing Knowledge, Skills & Abilities Strategic & Analytical Thinking Ability to see patterns across complex data, customer behaviors, and market signals - and translate insights into actionable strategies and business cases Rigorous analytical skills: financial models, program economics, pricing structures, and competitive intelligence that inform decision-making Thinks several moves ahead - anticipating customer needs, competitive responses, and market evolution Organizational & Execution Leadership Natural ability to orchestrate multiple moving parts - people, timelines, resources, priorities - across complex programs and matrixed organizations Skilled at configuring cross-functional teams for maximum effectiveness, with the program management discipline to track interdependencies and keep engagements on schedule and budget Presence & Influence Commanding executive presence with confidence to lead negotiations, challenge the status quo, and drive decisions in ambiguous situations Willingness to take charge, confront difficult issues directly, and provide clear direction when the path forward is uncertain Exceptional communication skills - compelling narratives, proposals, and presentations for technical and executive audiences Industry & Technical Acumen Deep understanding of the AI/ML data center ecosystem: GPU architectures, training/inference infrastructure, thermal management, power delivery, rack integration, and test/validation Credible in technical discussions with customer engineering teams while maintaining a business-outcome focus; proficient with CRM platforms (Salesforce preferred) Compensation & Performance Structure This role does not carry a traditional sales quota. Compensation includes a competitive base salary plus bonus objectives tied to: Winning new strategic AI/ML customers and capturing large new programs with existing accounts Growth in strategic account revenue and program pipeline value Program execution milestones and customer satisfaction metrics Location & Travel Requirements Open to remote candidates in the United States, with a preference for candidates in the San Francisco Bay Area, California Travel expected up to 50%, including customer visits throughout the Bay Area, across the US, and periodic international travel to Taiwan and SE Asia Must possess a valid passport and ability to obtain required travel visas Physical Requirements These physical requirements must be performed with or without accommodation: Time split between office/home office, customer sites, and travel Ability to sit for extended periods; bend, reach, stoop, and twist as required Heavy computer use; occasional exposure to manufacturing or lab environments Ability to lift and carry up to 25 lbs This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Pay and Benefits This job description reflects management's assignment of key responsibilities; it does not prescribe or restrict the tasks that may be assigned. Base pay is only one element of an employee's total compensation at Circuit Check. Employees (and their dependents in most plans) are covered by medical, dental, vision, basic life, short- and long-term disability and accidental death and dismemberment insurance. Employees are able to enroll in Circuit Check's 401k plan, in which the Company will match 50% of your contributions up to 6% with a maximum contribution. Paid time off includes vacation and sick time along with paid holidays. A summary of benefits can be provided by request via email to . Circuit Check, Inc. is proud to be an Equal Opportunity Employer. We do not discriminate based on identity, race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, genetic information, sexual orientation, marital status, or any other legally recognized protected basis under federal, state, or local law. Because Circuit Check is a federal contractor, we participate in the E-Verify program in certain locations, as required by law . click apply for full job details
08/05/2026
Full time
About the job Who we are: Circuit Check is the market-leading provider of automated test systems and test fixtures for complex electronic products for the automotive, military/aerospace, medical, industrial, and computer networking industries. At Circuit Check, we believe that innovation is a must, and that a challenging and robust environment where the work is consistently new and cutting edge is the best way to foster creativity. If you are ready to further your career in a fast-paced, technology driven organization where our test designs impact products that are used by millions of people around the world every day, then we invite you to join us at Circuit Check.Our design staff includes electrical, software, mechanical engineers, and project managers. Our systems are supported by staff throughout the United States, Canada, Mexico, Europe, Malaysia, and China. Primary Objective Lead the strategic development and growth of Circuit Check's most significant customer relationships in the AI/ML data center infrastructure market. Architect and execute multi-year account strategies that drive large-scale program wins, deepen executive-level partnerships, and position the company as the preferred technology partner for hyperscale and enterprise AI customers. This role does not carry a traditional sales quota; compensation includes bonus objectives tied to winning new large customers, capturing major programs, and expanding strategic account revenue. Major Areas of Accountability Strategic Account Leadership Develop and own multi-year strategic account plans for the company's largest AI/ML infrastructure customers, anticipating market shifts and positioning ahead of competitive threats Analyze customer technology roadmaps, capital expenditure patterns, and buying dynamics to identify high-value opportunities across GPU test, thermal management, power delivery, and related segments Serve as the primary executive-level interface with strategic accounts, building trusted advisor relationships with VP and C-suite decision-makers at hyperscale cloud providers, AI chipmakers, and data center operators Take decisive ownership of high-stakes negotiations, complex proposals, and multi-million-dollar program pursuits, differentiating Circuit Check solutions Cross-Functional Program Orchestration Coordinate engineering, product management and operations around customer requirements Partner with Product Line Managers to translate customer insights into product roadmap inputs aligned with AI/ML market direction Drive program management cadence for strategic accounts: pipeline reviews, executive business reviews, win/loss analysis, and quarterly assessments Market Intelligence & Growth Strategy Identify patterns in AI/ML technology adoption, supply chain shifts, and customer investment priorities that create strategic openings for Circuit Check Quantify new market opportunities through analysis of TAM, competitive dynamics, segment profitability, and technology adjacencies; present data-supported recommendations to senior leadership Build and maintain industry relationships across the AI/ML ecosystem, including suppliers, contract manufacturers, analysts, and technology partners worldwide International Business Development Develop and execute customer engagement strategies in key AI/ML hubs, with emphasis on Silicon Valley and Taiwan Navigate international business environments including multi-stakeholder decision processes and cultural dynamics across Asia-Pacific Represent the company at international conferences, trade shows, and executive briefings as an authoritative voice on AI/ML infrastructure Sales Team Collaboration & Mentorship Mentor less experienced sales team members on complex deal strategy, multi-stakeholder navigation, and executive engagement Partner with assigned account team members who maintain day-to-day relationships, providing strategic direction while developing their capabilities Collaborate with Sales Leadership to build playbooks and best practices for pursuing large AI/ML infrastructure programs Education & Experience Bachelor's degree in Engineering (Electrical, Mechanical, or related) required; MBA or advanced technical degree preferred 10+ years of progressive experience in strategic account management, business development, or program leadership in semiconductor, electronic hardware, test & measurement, data center infrastructure, or related technology sectors Track record of winning and managing multi-million-dollar programs with complex, multi-stakeholder customer organizations Strongly preferred: executive-level relationships at hyperscale cloud providers; experience in the AI/ML hardware ecosystem (GPU test/validation, liquid cooling, power distribution, rack-scale integration, or related infrastructure) International business experience preferred, especially in the Taiwan semiconductor ecosystem and/or SE Asian manufacturing Knowledge, Skills & Abilities Strategic & Analytical Thinking Ability to see patterns across complex data, customer behaviors, and market signals - and translate insights into actionable strategies and business cases Rigorous analytical skills: financial models, program economics, pricing structures, and competitive intelligence that inform decision-making Thinks several moves ahead - anticipating customer needs, competitive responses, and market evolution Organizational & Execution Leadership Natural ability to orchestrate multiple moving parts - people, timelines, resources, priorities - across complex programs and matrixed organizations Skilled at configuring cross-functional teams for maximum effectiveness, with the program management discipline to track interdependencies and keep engagements on schedule and budget Presence & Influence Commanding executive presence with confidence to lead negotiations, challenge the status quo, and drive decisions in ambiguous situations Willingness to take charge, confront difficult issues directly, and provide clear direction when the path forward is uncertain Exceptional communication skills - compelling narratives, proposals, and presentations for technical and executive audiences Industry & Technical Acumen Deep understanding of the AI/ML data center ecosystem: GPU architectures, training/inference infrastructure, thermal management, power delivery, rack integration, and test/validation Credible in technical discussions with customer engineering teams while maintaining a business-outcome focus; proficient with CRM platforms (Salesforce preferred) Compensation & Performance Structure This role does not carry a traditional sales quota. Compensation includes a competitive base salary plus bonus objectives tied to: Winning new strategic AI/ML customers and capturing large new programs with existing accounts Growth in strategic account revenue and program pipeline value Program execution milestones and customer satisfaction metrics Location & Travel Requirements Open to remote candidates in the United States, with a preference for candidates in the San Francisco Bay Area, California Travel expected up to 50%, including customer visits throughout the Bay Area, across the US, and periodic international travel to Taiwan and SE Asia Must possess a valid passport and ability to obtain required travel visas Physical Requirements These physical requirements must be performed with or without accommodation: Time split between office/home office, customer sites, and travel Ability to sit for extended periods; bend, reach, stoop, and twist as required Heavy computer use; occasional exposure to manufacturing or lab environments Ability to lift and carry up to 25 lbs This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Pay and Benefits This job description reflects management's assignment of key responsibilities; it does not prescribe or restrict the tasks that may be assigned. Base pay is only one element of an employee's total compensation at Circuit Check. Employees (and their dependents in most plans) are covered by medical, dental, vision, basic life, short- and long-term disability and accidental death and dismemberment insurance. Employees are able to enroll in Circuit Check's 401k plan, in which the Company will match 50% of your contributions up to 6% with a maximum contribution. Paid time off includes vacation and sick time along with paid holidays. A summary of benefits can be provided by request via email to . Circuit Check, Inc. is proud to be an Equal Opportunity Employer. We do not discriminate based on identity, race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, genetic information, sexual orientation, marital status, or any other legally recognized protected basis under federal, state, or local law. Because Circuit Check is a federal contractor, we participate in the E-Verify program in certain locations, as required by law . click apply for full job details
Description: Keep our engineers building the equipment that powers North America Since 1927, Sherman + Reilly has designed and manufactured the pullers, tensioners, reel trailers, and stringing blocks that electric utility crews trust to string transmission and distribution lines safely across the continent. Behind every machine is a team of mechanical, electrical, and design engineers and behind that team is the CAD and PDM environment that lets them do their best work. That environment is where you come in. We're looking for a CAD/PDM Systems Administrator to be the technical owner of our engineering design toolset: the person who keeps SolidWorks fast, the PDM vault healthy, the workstations dialed in, and engineering data flowing cleanly into the systems that build our products. This is a hands-on, individual-contributor role. You will manage platforms, applications, and data supporting a close-knit team of roughly 20 designers and engineers who depend on you to keep them productive. What you'll own Be the SME. Serve as our single, authoritative expert for SolidWorks, eDrawings, and SolidWorks PDM. The final escalation point for CAD/PDM issues and the trusted advisor to engineering and IT leadership on standards, strategy, and tooling. Administer the CAD software. Deploy and maintain SolidWorks and add-ins across the engineering fleet, roll out upgrades and service packs, standardize settings and templates, and validate every change in a dedicated test environment before it reaches production. Run the PDM vault. Own permissions, workflows, revision and lifecycle schemes, data cards, backups, and replication. Design release processes with Document Control, onboard new users, and keep the vault healthy. Optimize the workstations. Specify, configure, and tune engineering-class workstations for CAD, large-assembly, and FEA workloads. Maintain certified GPU driver, BIOS, and firmware standards and build repeatable deployment images. Own performance and reliability. Establish baselines and benchmarks, monitor stability and crash telemetry, drive root-cause analysis, and plan capacity and hardware refresh cycles ahead of demand. Connect the data. Support the Bill of Material (BOM) process and tooling, maintain CAD/PDM-to-ERP integrations, and close gaps in part numbering, metadata, and BOM structure, automating repetitive tasks through scripting and APIs where it helps. Manage licensing and documentation. Track SolidWorks (SolidNetWork License Manager) and third-party licenses for allocation, renewals, and audit readiness, and keep clear work instructions and standards that the whole team can follow. Support the broader toolset. Be the go-to resource for the other software and specialized hardware the engineering team relies on, including third-party applications and 3D printers. Requirements: What you bring Associate's or Bachelor's degree in Engineering, Engineering Technology, Computer Science, IT, or equivalent experience 5+ years hands-on administering and supporting SolidWorks in a production engineering environment Demonstrated SolidWorks PDM administration experience, vault setup, workflows, permissions, and troubleshooting Working knowledge of engineering-class workstation hardware, GPU/driver management, and Windows optimization Experience supporting the BOM process and an understanding of engineering data structures Strong root-cause troubleshooting across software, hardware, and integration layers Excellent documentation and communication skills, with the patience to support and train non-technical engineers Nice to have Experience integrating CAD/PDM data with ERP or PLM platforms (e.g., SAP) SolidWorks certifications (CSWP/CSWE) or PDM administration certification PowerShell or similar scripting for automation and configuration management Familiarity with manufacturing environments - wire, cable, or heavy equipment a plus Exposure to FEA/simulation workloads and workstation tuning Experience with endpoint management (Intune/Autopilot), Active Directory, and enterprise security tooling Why Sherman + Reilly Your work has weight. The engineers you support design equipment that keeps line crews safe and the grid energized. You'll see the impact on the shop floor, not just on a dashboard. Real ownership. This is the CAD/PDM role. You'll set the standards, make the tooling decisions, and be the expert the team turns to with the autonomy to do it right. A company that lasts. Nearly a century of manufacturing in Chattanooga, and a reputation as North America's leading name in line-stringing equipment. On-site and grounded. You'll work alongside the engineering team in our Chattanooga facility, with occasional time on the manufacturing floor where the products come to life. Planned system maintenance is scheduled outside core hours (Mon-Fri, 6:00 AM-5:00 PM) so our engineers stay productive. Ready to apply? If you're the person who genuinely enjoys making CAD and PDM systems run flawlessly and wants that work to matter we'd like to hear from you. Apply with your resume and a short note about your SolidWorks and PDM administration experience. Sherman + Reilly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Recruiter Notice: Sherman + Reilly does not accept unsolicited resumes from recruiters or staffing agencies. Any unsolicited resumes submitted to our employees, hiring managers, or Human Resources will become the property of Sherman + Reilly, and no placement fee or other compensation will be paid. PIdb2868d8daa2-5137
08/05/2026
Full time
Description: Keep our engineers building the equipment that powers North America Since 1927, Sherman + Reilly has designed and manufactured the pullers, tensioners, reel trailers, and stringing blocks that electric utility crews trust to string transmission and distribution lines safely across the continent. Behind every machine is a team of mechanical, electrical, and design engineers and behind that team is the CAD and PDM environment that lets them do their best work. That environment is where you come in. We're looking for a CAD/PDM Systems Administrator to be the technical owner of our engineering design toolset: the person who keeps SolidWorks fast, the PDM vault healthy, the workstations dialed in, and engineering data flowing cleanly into the systems that build our products. This is a hands-on, individual-contributor role. You will manage platforms, applications, and data supporting a close-knit team of roughly 20 designers and engineers who depend on you to keep them productive. What you'll own Be the SME. Serve as our single, authoritative expert for SolidWorks, eDrawings, and SolidWorks PDM. The final escalation point for CAD/PDM issues and the trusted advisor to engineering and IT leadership on standards, strategy, and tooling. Administer the CAD software. Deploy and maintain SolidWorks and add-ins across the engineering fleet, roll out upgrades and service packs, standardize settings and templates, and validate every change in a dedicated test environment before it reaches production. Run the PDM vault. Own permissions, workflows, revision and lifecycle schemes, data cards, backups, and replication. Design release processes with Document Control, onboard new users, and keep the vault healthy. Optimize the workstations. Specify, configure, and tune engineering-class workstations for CAD, large-assembly, and FEA workloads. Maintain certified GPU driver, BIOS, and firmware standards and build repeatable deployment images. Own performance and reliability. Establish baselines and benchmarks, monitor stability and crash telemetry, drive root-cause analysis, and plan capacity and hardware refresh cycles ahead of demand. Connect the data. Support the Bill of Material (BOM) process and tooling, maintain CAD/PDM-to-ERP integrations, and close gaps in part numbering, metadata, and BOM structure, automating repetitive tasks through scripting and APIs where it helps. Manage licensing and documentation. Track SolidWorks (SolidNetWork License Manager) and third-party licenses for allocation, renewals, and audit readiness, and keep clear work instructions and standards that the whole team can follow. Support the broader toolset. Be the go-to resource for the other software and specialized hardware the engineering team relies on, including third-party applications and 3D printers. Requirements: What you bring Associate's or Bachelor's degree in Engineering, Engineering Technology, Computer Science, IT, or equivalent experience 5+ years hands-on administering and supporting SolidWorks in a production engineering environment Demonstrated SolidWorks PDM administration experience, vault setup, workflows, permissions, and troubleshooting Working knowledge of engineering-class workstation hardware, GPU/driver management, and Windows optimization Experience supporting the BOM process and an understanding of engineering data structures Strong root-cause troubleshooting across software, hardware, and integration layers Excellent documentation and communication skills, with the patience to support and train non-technical engineers Nice to have Experience integrating CAD/PDM data with ERP or PLM platforms (e.g., SAP) SolidWorks certifications (CSWP/CSWE) or PDM administration certification PowerShell or similar scripting for automation and configuration management Familiarity with manufacturing environments - wire, cable, or heavy equipment a plus Exposure to FEA/simulation workloads and workstation tuning Experience with endpoint management (Intune/Autopilot), Active Directory, and enterprise security tooling Why Sherman + Reilly Your work has weight. The engineers you support design equipment that keeps line crews safe and the grid energized. You'll see the impact on the shop floor, not just on a dashboard. Real ownership. This is the CAD/PDM role. You'll set the standards, make the tooling decisions, and be the expert the team turns to with the autonomy to do it right. A company that lasts. Nearly a century of manufacturing in Chattanooga, and a reputation as North America's leading name in line-stringing equipment. On-site and grounded. You'll work alongside the engineering team in our Chattanooga facility, with occasional time on the manufacturing floor where the products come to life. Planned system maintenance is scheduled outside core hours (Mon-Fri, 6:00 AM-5:00 PM) so our engineers stay productive. Ready to apply? If you're the person who genuinely enjoys making CAD and PDM systems run flawlessly and wants that work to matter we'd like to hear from you. Apply with your resume and a short note about your SolidWorks and PDM administration experience. Sherman + Reilly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Recruiter Notice: Sherman + Reilly does not accept unsolicited resumes from recruiters or staffing agencies. Any unsolicited resumes submitted to our employees, hiring managers, or Human Resources will become the property of Sherman + Reilly, and no placement fee or other compensation will be paid. PIdb2868d8daa2-5137
This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses. How would you like to be a part of Earth's most customer-centric company? You would work with teams of front-line responders who support the operations of some of the world's most powerful data centers. Our Data Center Engineering Operations team maintain and operate our critical infrastructure systems so that they are prepared to stand up against any situation. AWS has the world's largest cloud computing portfolio. As an Amazonian you will work in some of the most sophisticated, safe, and secure data centers in the world. Our Chief Engineers (CE) help keep them that way by working with the brightest minds from around the globe to help test and implement the newest technology and work practices to meet the demands of a changing market. We have a passion for learning and evolving, it's how we have helped define ourselves as leaders in the industry. Let's work hard, have fun, and make history! Key job responsibilities - Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Perform root cause analysis of equipment failures, and troubleshooting of facility within internal Service Level Agreements (SLA). - Provide training and guidance to Engineering Operations Technicians and responsible for working with Facility Manager (FM) to set team culture. - Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams - May assist in the build out of new facilities and assist in projects to increase current facility efficiency - Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. - Communicate complex technical information to a non-technical audience. - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency - Ensure all safety procedures are adhered to by vendor and Amazon staff - Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. - Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day to day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodations: - Regularly lift and/or move up to 39 pounds independently - Participate in group lifts for 40+ pounds - Maintain balance and perform construction tasks while on a ladder - Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position - Work in an environment requiring provided ear protection A day in the life This role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They maintain, operate, and troubleshoot mission-critical data center facility equipment including electrical support equipment that supports servers that must maintain better than 99.999% uptime. Equipment will include but is not limited to stand-by diesel generators and related fuel systems, 3 phase electrical systems such as switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAHU units, centrifugal chillers, cooling towers, water systems, air handlers and associated systems, pumps, and motors. Additional support equipment is included in the scope of the role which includes fire/life safety equipment, building automation systems, and general facilities equipment. The CE directs, trains and supports technicians in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. They manage projects from conception to completion. These projects involve independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of Microsoft Office products and applications experience - 3+ years of mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience including industrial electrical and mechanical systems - Experience with reading and writing procedures, technical documents, and engineering drawings PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Must be able to work in an environment that involves walking, stooping, bending, and climbing to access equipment. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NV, Sparks - 96 300.00 USD annually
08/05/2026
Full time
This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses. How would you like to be a part of Earth's most customer-centric company? You would work with teams of front-line responders who support the operations of some of the world's most powerful data centers. Our Data Center Engineering Operations team maintain and operate our critical infrastructure systems so that they are prepared to stand up against any situation. AWS has the world's largest cloud computing portfolio. As an Amazonian you will work in some of the most sophisticated, safe, and secure data centers in the world. Our Chief Engineers (CE) help keep them that way by working with the brightest minds from around the globe to help test and implement the newest technology and work practices to meet the demands of a changing market. We have a passion for learning and evolving, it's how we have helped define ourselves as leaders in the industry. Let's work hard, have fun, and make history! Key job responsibilities - Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Perform root cause analysis of equipment failures, and troubleshooting of facility within internal Service Level Agreements (SLA). - Provide training and guidance to Engineering Operations Technicians and responsible for working with Facility Manager (FM) to set team culture. - Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams - May assist in the build out of new facilities and assist in projects to increase current facility efficiency - Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. - Communicate complex technical information to a non-technical audience. - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency - Ensure all safety procedures are adhered to by vendor and Amazon staff - Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. - Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day to day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodations: - Regularly lift and/or move up to 39 pounds independently - Participate in group lifts for 40+ pounds - Maintain balance and perform construction tasks while on a ladder - Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position - Work in an environment requiring provided ear protection A day in the life This role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They maintain, operate, and troubleshoot mission-critical data center facility equipment including electrical support equipment that supports servers that must maintain better than 99.999% uptime. Equipment will include but is not limited to stand-by diesel generators and related fuel systems, 3 phase electrical systems such as switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAHU units, centrifugal chillers, cooling towers, water systems, air handlers and associated systems, pumps, and motors. Additional support equipment is included in the scope of the role which includes fire/life safety equipment, building automation systems, and general facilities equipment. The CE directs, trains and supports technicians in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. They manage projects from conception to completion. These projects involve independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of Microsoft Office products and applications experience - 3+ years of mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience including industrial electrical and mechanical systems - Experience with reading and writing procedures, technical documents, and engineering drawings PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Must be able to work in an environment that involves walking, stooping, bending, and climbing to access equipment. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NV, Sparks - 96 300.00 USD annually
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As a Data Center Technician, you are a primary resolver for your support team, and are skilled at troubleshooting one or more operating systems. You are able to troubleshoot and solve all but the most complex infrastructure issues. Issues are escalated to the appropriate resolver groups when necessary. You create and maintain documentation on technologies you support and are able to convey SOPs to junior staff. You understand all aspects of the equipment you support. You know how to innovate and make decisions on his/her own, but also know how to take direction when it is given, paying attention to all details involved. You are able to execute small projects on your own and work with your manager in planning and executing larger local projects. You act as an escalation point for junior technicians. You understand all aspects of the equipment you support. Position may include rotating shifts, 3, 4, or 5 day/night work weeks, and may change based on the needs of the business. Travel may be required up to 10% of the time. This position will fill an opening at one of multiple separate sites. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Knowledge of hardware platforms - 1+ years of computer networking experience, or experience in computer networking - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OH, Plain City - 33.00 - 58.00 USD hourly
08/05/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As a Data Center Technician, you are a primary resolver for your support team, and are skilled at troubleshooting one or more operating systems. You are able to troubleshoot and solve all but the most complex infrastructure issues. Issues are escalated to the appropriate resolver groups when necessary. You create and maintain documentation on technologies you support and are able to convey SOPs to junior staff. You understand all aspects of the equipment you support. You know how to innovate and make decisions on his/her own, but also know how to take direction when it is given, paying attention to all details involved. You are able to execute small projects on your own and work with your manager in planning and executing larger local projects. You act as an escalation point for junior technicians. You understand all aspects of the equipment you support. Position may include rotating shifts, 3, 4, or 5 day/night work weeks, and may change based on the needs of the business. Travel may be required up to 10% of the time. This position will fill an opening at one of multiple separate sites. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Knowledge of hardware platforms - 1+ years of computer networking experience, or experience in computer networking - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OH, Plain City - 33.00 - 58.00 USD hourly
We are currently expanding our infrastructure management team and are looking for proven technology managers with experience in people management, strong technical understanding and the drive and vision to take Data Center Operations to the next level. The successful candidate will have experience managing people with varying skillsets, devising strategies, mentoring people in all levels, sponsoring projects, and proposing technical solutions. This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. This position requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities - Prioritize and assign trouble tickets to data center technicians and operators - Routinely review ticket queue for large events and address accordingly - Coordinate change management resources - Guide, train and educate data staff on the best practices related to all service owner issues - Manage and deliver mid-size projects - Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs - Manage a diverse team of data technicians with varying skills - Provide weekly report to the data center manager - Maintain the on-call schedule coordinating absence and vacations - Recruit and train data technicians to ensure appropriate staffing levels - Host weekly staff meetings - Write and deliver performance reviews for staff About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 2+ years of people management experience - 3+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities, or 1+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Experience in project or program management - 1+ years of data center engineering or operations experience - Experience with project management - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Meets/exceeds Amazon's leadership principles requirements for this role - Meets/exceeds Amazon's functional/technical depth and complexity for this role - In-depth hardware knowledge and troubleshooting experience, system management tools and client/server environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Mineral - 78 300.00 USD annually
08/05/2026
Full time
We are currently expanding our infrastructure management team and are looking for proven technology managers with experience in people management, strong technical understanding and the drive and vision to take Data Center Operations to the next level. The successful candidate will have experience managing people with varying skillsets, devising strategies, mentoring people in all levels, sponsoring projects, and proposing technical solutions. This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. This position requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities - Prioritize and assign trouble tickets to data center technicians and operators - Routinely review ticket queue for large events and address accordingly - Coordinate change management resources - Guide, train and educate data staff on the best practices related to all service owner issues - Manage and deliver mid-size projects - Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs - Manage a diverse team of data technicians with varying skills - Provide weekly report to the data center manager - Maintain the on-call schedule coordinating absence and vacations - Recruit and train data technicians to ensure appropriate staffing levels - Host weekly staff meetings - Write and deliver performance reviews for staff About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 2+ years of people management experience - 3+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities, or 1+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Experience in project or program management - 1+ years of data center engineering or operations experience - Experience with project management - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Meets/exceeds Amazon's leadership principles requirements for this role - Meets/exceeds Amazon's functional/technical depth and complexity for this role - In-depth hardware knowledge and troubleshooting experience, system management tools and client/server environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Mineral - 78 300.00 USD annually
Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
08/05/2026
Full time
Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
08/05/2026
Full time
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
08/05/2026
Full time
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
Job Description Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM. About You One of PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience Masters and 4+ years of industry experience 5+ years of industry experience Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax Bonus Points Deep understanding of 3D geometry and state estimation fundamentals Proficiency in systems coding Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models. Experience in building ML pipelines and optimizing/productizing ML models Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
08/05/2026
Full time
Job Description Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM. About You One of PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience Masters and 4+ years of industry experience 5+ years of industry experience Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax Bonus Points Deep understanding of 3D geometry and state estimation fundamentals Proficiency in systems coding Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models. Experience in building ML pipelines and optimizing/productizing ML models Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
08/05/2026
Full time
Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
Job Description Job Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem-spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives. We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications-ensuring our platform empowers customers to build reliable, mission-ready autonomous systems. What you'll do: Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack. Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms. Understand the full system end-to-end-from sensor inputs to autonomous behaviors. Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components. Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms. Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles. Develop integration tooling & infrastructure: Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments. Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries. Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging. Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness. Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability. Required qualifications: Typically requires a minimum of 7 years of related experience with a bachelor's degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master's degree; or 4 years with a PhD. Proficiency in programming languages including Python or C++. Experience with autonomous systems or server applications or middleware. Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries. Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments. Strong expertise with CI/CD pipelines. Strong problem-solving skills and a proven track record of delivering high-quality software solutions. Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership. Preferred qualifications: Demonstrated experience building complex systems with a strong understanding of software architecture and design principles. Experience with hardware or embedded systems. Expert knowledge of Python. Experience with ROS. Experience with white box testing Familiarity with networking, operating-systems, and radio communications. Experience designing automated tooling for testing for GUI applications. Experience designing automated tooling for testing server applications. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
08/05/2026
Full time
Job Description Job Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem-spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives. We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications-ensuring our platform empowers customers to build reliable, mission-ready autonomous systems. What you'll do: Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack. Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms. Understand the full system end-to-end-from sensor inputs to autonomous behaviors. Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components. Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms. Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles. Develop integration tooling & infrastructure: Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments. Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries. Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging. Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness. Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability. Required qualifications: Typically requires a minimum of 7 years of related experience with a bachelor's degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master's degree; or 4 years with a PhD. Proficiency in programming languages including Python or C++. Experience with autonomous systems or server applications or middleware. Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries. Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments. Strong expertise with CI/CD pipelines. Strong problem-solving skills and a proven track record of delivering high-quality software solutions. Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership. Preferred qualifications: Demonstrated experience building complex systems with a strong understanding of software architecture and design principles. Experience with hardware or embedded systems. Expert knowledge of Python. Experience with ROS. Experience with white box testing Familiarity with networking, operating-systems, and radio communications. Experience designing automated tooling for testing for GUI applications. Experience designing automated tooling for testing server applications. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.