Penske Truck Rental
Reading, Pennsylvania
Position Title: Manager - Advanced Analytics Description: Summary Statement: Lead the information technology aspects of advanced analytics projects and the machine learning (ML) environment. This critical role is responsible for delivering and supporting multiple AI/ML and data science projects across the enterprise. You will assess and select technologies and tools to support advanced analytics projects, and be a member of the Data & Emerging Digital Technologies team driving execution of data and digital initiatives. Collaborate closely with business and IT stakeholders across the organization, understand industry best practices, and drive the architecture and implementation of AI/ML projects. Key Responsibilities: • Evangelize artificial intelligence and machine learning across the organization to solve business problems and optimize processes. • Operationalize and support various Machine Learning models, ensuring accuracy and managing the cost of AI/ML operations. • Manage a team of machine learning engineers. • Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data Engineering, Data Platform Teams, Product Managers, Cloud Engineering). • Responsible for talent management (recruiting, onboarding, career development) in the AI/ML Ops area. Responsibilities: • Collaborate with stakeholder groups and partners at mid to Sr. Management level to build and execute AI/ML roadmaps. • Manage and lead enterprise-wide projects and initiatives concurrently, assigned from client group leadership and other IT departments. • Lead and manage a team of machine learning engineers and AI/ML Ops administrators to support various AI/ML projects (Predictive Analytics, Prescriptive Analytics, Computer Vision, Gen AI). • Stay updated on best practices in AI/ML, AI/ML Ops, and Model API Management to leverage them within the organization, execute on MLOps Roadmap maturity. • Ensure applications and environments are available and supported as per agreed SLAs. • Enforce best practices and compliance with AI Governance principles. • Follow IT practices in security, licensing, source code management, incident management, and architectural standards. • Delegate and assign tasks to onshore and offshore technical resources. Regularly review project requirements, deliverables, and quality with partner leadership and onsite team members. • Ensure associates lead project scope development and options analysis to recommend technical solutions meeting customer needs. • Follow the Penske Development Process (PDP) and ensure timely capture of all information for relevant metrics generation, including attending tollgates, change control, and deployment discussions. • Work with Program/Project managers to ensure project completion and implementation on time, adhering to department quality standards while ensuring effective cost management. • Identify skill gaps within teams and develop plans to bridge them. • Foster collaboration among associates and within work groups. • Use dashboards and metrics to prioritize work and ensure project milestones are met. Qualifications: • Bachelor's degree in Computer Science, Information Systems, or equivalent experience. • 3+ years of leadership experience leading machine learning engineers. • 3 - 5 years of large enterprise-wide program/project management experience. • 2+ years' experience with cloud platforms, preferably AWS. • Strong experience with Agile/MLOps approaches or methodologies. • Strong Technical Project Management experience. • Strong knowledge of AI/ML using Python, data science tools and methodologies, advanced quantitative modeling, statistical analysis, parametric and non-parametric statistical modeling and techniques, API Management, Micro-services, and Cloud (preferably AWS), and experience operationalizing predictive or prescriptive models. • Working knowledge of one or more Machine Learning Platforms. • Expertise in leading the architecture, design, and implementation of AI/ML-based technical solutions. • Strong experience presenting to mid & Senior Management. Ability to explain complex AI/ML topics in simple terms to various stakeholders. • Experience working with business leadership to establish a project/program application development roadmap. • Experience working with various IT teams to build and implement a scalable architecture for relevant software solutions. • Demonstrated ability to break technical solutions into logical units and show information or data flow. • Full fluency and expert-level knowledge in systems/languages applicable to the role. • Full understanding of system development lifecycle, methodologies, and standards. • Working knowledge of Generative AI and Agentic solutions preferred. • Green Belt, Black Belt, Lean, or PMP certification preferred. Physical Requirements • The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate must regularly lift and /or move up to 25lbs/12kg. • Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. • While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms. Penske is an Equal Opportunity Employer. About Penske Truck Leasing/Transportation Solutions Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Job Category: Information Technology Job Function: Business Intelligence Job Family: Analytics & Intelligence Address: 100 Gundy Drive Primary Location: US-PA-Reading Employer: Penske Truck Leasing Co., L.P. Req ID: Requirements PI
Position Title: Manager - Advanced Analytics Description: Summary Statement: Lead the information technology aspects of advanced analytics projects and the machine learning (ML) environment. This critical role is responsible for delivering and supporting multiple AI/ML and data science projects across the enterprise. You will assess and select technologies and tools to support advanced analytics projects, and be a member of the Data & Emerging Digital Technologies team driving execution of data and digital initiatives. Collaborate closely with business and IT stakeholders across the organization, understand industry best practices, and drive the architecture and implementation of AI/ML projects. Key Responsibilities: • Evangelize artificial intelligence and machine learning across the organization to solve business problems and optimize processes. • Operationalize and support various Machine Learning models, ensuring accuracy and managing the cost of AI/ML operations. • Manage a team of machine learning engineers. • Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data Engineering, Data Platform Teams, Product Managers, Cloud Engineering). • Responsible for talent management (recruiting, onboarding, career development) in the AI/ML Ops area. Responsibilities: • Collaborate with stakeholder groups and partners at mid to Sr. Management level to build and execute AI/ML roadmaps. • Manage and lead enterprise-wide projects and initiatives concurrently, assigned from client group leadership and other IT departments. • Lead and manage a team of machine learning engineers and AI/ML Ops administrators to support various AI/ML projects (Predictive Analytics, Prescriptive Analytics, Computer Vision, Gen AI). • Stay updated on best practices in AI/ML, AI/ML Ops, and Model API Management to leverage them within the organization, execute on MLOps Roadmap maturity. • Ensure applications and environments are available and supported as per agreed SLAs. • Enforce best practices and compliance with AI Governance principles. • Follow IT practices in security, licensing, source code management, incident management, and architectural standards. • Delegate and assign tasks to onshore and offshore technical resources. Regularly review project requirements, deliverables, and quality with partner leadership and onsite team members. • Ensure associates lead project scope development and options analysis to recommend technical solutions meeting customer needs. • Follow the Penske Development Process (PDP) and ensure timely capture of all information for relevant metrics generation, including attending tollgates, change control, and deployment discussions. • Work with Program/Project managers to ensure project completion and implementation on time, adhering to department quality standards while ensuring effective cost management. • Identify skill gaps within teams and develop plans to bridge them. • Foster collaboration among associates and within work groups. • Use dashboards and metrics to prioritize work and ensure project milestones are met. Qualifications: • Bachelor's degree in Computer Science, Information Systems, or equivalent experience. • 3+ years of leadership experience leading machine learning engineers. • 3 - 5 years of large enterprise-wide program/project management experience. • 2+ years' experience with cloud platforms, preferably AWS. • Strong experience with Agile/MLOps approaches or methodologies. • Strong Technical Project Management experience. • Strong knowledge of AI/ML using Python, data science tools and methodologies, advanced quantitative modeling, statistical analysis, parametric and non-parametric statistical modeling and techniques, API Management, Micro-services, and Cloud (preferably AWS), and experience operationalizing predictive or prescriptive models. • Working knowledge of one or more Machine Learning Platforms. • Expertise in leading the architecture, design, and implementation of AI/ML-based technical solutions. • Strong experience presenting to mid & Senior Management. Ability to explain complex AI/ML topics in simple terms to various stakeholders. • Experience working with business leadership to establish a project/program application development roadmap. • Experience working with various IT teams to build and implement a scalable architecture for relevant software solutions. • Demonstrated ability to break technical solutions into logical units and show information or data flow. • Full fluency and expert-level knowledge in systems/languages applicable to the role. • Full understanding of system development lifecycle, methodologies, and standards. • Working knowledge of Generative AI and Agentic solutions preferred. • Green Belt, Black Belt, Lean, or PMP certification preferred. Physical Requirements • The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate must regularly lift and /or move up to 25lbs/12kg. • Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. • While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms. Penske is an Equal Opportunity Employer. About Penske Truck Leasing/Transportation Solutions Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Job Category: Information Technology Job Function: Business Intelligence Job Family: Analytics & Intelligence Address: 100 Gundy Drive Primary Location: US-PA-Reading Employer: Penske Truck Leasing Co., L.P. Req ID: Requirements PI
BERING STRAITS PROFESSIONAL SERVICES LLC
Washington, Washington DC
About Bering Straits Professional Services Paragon offers a wide range of environmental investigation, consulting, compliance, and remediation services as well as IT solutions, Facility O&M, Materiel Support, Supply and Security to both private- and public-sector clients throughout Alaska and the Continental U.S. Paragon's experienced professional staff is dedicated to producing high-quality documentation and providing safe field execution to support its clients' projects in line with local, state and federal guidelines and regulations. About this position: Sr. Cybersecurity Incident Response Specialist Location - Washington, DC The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Wage/Salary Range: $100k - $120k Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Member of the SOC team which provides 24 hours per day, 7 days per week, 365 days per year monitoring and incident response services for the organization's Network, Systems, Applications, and Web services. Provide senior level cybersecurity incident response expertise in support of the client's Incident Response processes and procedures. Develop operational baselines such data flows and application interactions to enhance SOC's ability to respond to incidents. Prepare and manage playbooks and relevant scenarios in addition to narratives and visual diagrams and review continuously, in compliance with NIST SP 800-61 and Government guidance. Follow current guidance from NIST 800-61, Federal Incident Notification Guidelines, CISA's Incident Response and Vulnerability Playbook, and client guidance. Monitor system status and sensor data from deployed sensors and triage for validity from Security Information and Event Management (SIEM) System, email, texts, phone calls and all enterprise managed dashboards. Analyze all sources including network traffic, identity, fault, performance, and bandwidth information, alerts and data to augment detection of network anomalies and unauthorized activity. Meet regularly with client stakeholders to develop content, analytic rules, alerts, dashboards, automation and identify ways to improve availability and efficiency of client's incident response program. Categorize, Prioritize, and Report on cybersecurity events in accordance with (IAW) SOPs and other relevant policies documents. Implement cybersecurity mitigations leveraging client tools and systems. Create and escalate cybersecurity-related investigations to both internal and external entities such as DHS or other Government Agencies with client and Federal defined timelines. Manage, coordinate, and respond to FOIA, audits, data calls, e-discovery and information requests. Schedule and execute incident response tabletop exercises with each client FISMA system on an annual basis. Review and handle phishing messages reported by client staff. Required (Minimum Necessary) Qualifications Education Requirements: High School or GED-General Educational Development-GED Diploma Bachelor's degree in computer science or equivalent is preferred Level of Experience Requirements: Minimum of five years hands-on experience Proven experience detecting, triaging, and responding to cyber incidents across enterprise networks and cloud environments. Knowledge, Skills, Abilities, and Other Characteristics Proficiency with SIEM, EDR/XDR platforms, and forensic tools. Strong understanding of threat actor TTPs, MITRE ATT&CK framework, and incident containment strategies. Ability to analyze network traffic, logs, and endpoint telemetry to identify malicious activity. Familiarity with malware analysis, reverse engineering basics, and memory analysis concepts Experience developing and tuning detection rules, playbooks, and automated response workflows. Working knowledge of incident response frameworks (e.g., NIST SP 800-61, SANS). Understanding of vulnerability management, threat intelligence integration, and SOC metrics/reporting. Understanding of basic computer and networking technologies. Windows and Linux/Unix operating systems Networking technologies (routing, switching, VLANs, subnets, firewalls) Common networking protocols - SSH, SMB, SMTP, FTP/SFTP, HTTP/HTTPS, DNS, etc. Common enterprise technologies - Active Directory, Group Policy, and the Microsoft Azure suite of cloud services. Understanding of current system logging technology and retrieving information from a plethora of technology platforms. Ability to work well in a team environment. Self-starter with ability to work with little supervision. Willingness to take on and adapt to new, open-ended tasks for which there is no current standard operating procedure. Ability to research independently and self-teach. Strong analytical and decision-making skills under pressure. Excellent written and verbal communication, including incident documentation and executive briefings. Ability to lead investigations, mentor junior analysts, and collaborate with cross-functional teams. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Accordingly, U.S. Citizenship is required. Preferred Interest in security/hacking culture. Ability to "think like an attacker" General cybersecurity certifications (one or more of the following preferred): CompTIA Security+ CompTIA Cybersecurity Analyst (CySA+) Certified Ethical Hacker (CEH) GIAC Certified Incident Handler (GCIH) Any cloud security certification, especially: CompTIA Cloud+ Certified Cloud Security Professional (CCSP) Cloud Security Alliance Certificate of Cloud Security Knowledge (CCSK) Any Microsoft 365/Azure cybersecurity certification, especially: Microsoft Certified: Security Operations Analyst Associate (SC-200) Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC-900) Microsoft Certified: Azure Fundamentals (AZ-900) Microsoft Certified: Azure Security Engineer Associate (AZ-500) Familiarity with the Microsoft 365 and Microsoft Azure suite of products, including Microsoft Sentinel and Microsoft 365 Defender. Knowledge of common enterprise technologies, policies, and concepts such as: Microsoft Sentinel SIEM Kusto Query Language (KQL) Mobile device technologies (iOS, Android) Scripting experience (PowerShell, Python, etc.) Microsoft Power BI Azure DevOps Artificial Intelligence (AI) / Machine Learning (ML) expertise In-depth knowledge of AI and ML concepts. How to practically apply AI/ML technologies to enhance cyber threat hunting and incident response capabilities. Experience with specific AI services offered within Microsoft Azure. Supervisory Responsibilities This position will not have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Physical Setting: Washington DC Schedule and Flexibility: Full Time in Office Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.
About Bering Straits Professional Services Paragon offers a wide range of environmental investigation, consulting, compliance, and remediation services as well as IT solutions, Facility O&M, Materiel Support, Supply and Security to both private- and public-sector clients throughout Alaska and the Continental U.S. Paragon's experienced professional staff is dedicated to producing high-quality documentation and providing safe field execution to support its clients' projects in line with local, state and federal guidelines and regulations. About this position: Sr. Cybersecurity Incident Response Specialist Location - Washington, DC The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Wage/Salary Range: $100k - $120k Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Member of the SOC team which provides 24 hours per day, 7 days per week, 365 days per year monitoring and incident response services for the organization's Network, Systems, Applications, and Web services. Provide senior level cybersecurity incident response expertise in support of the client's Incident Response processes and procedures. Develop operational baselines such data flows and application interactions to enhance SOC's ability to respond to incidents. Prepare and manage playbooks and relevant scenarios in addition to narratives and visual diagrams and review continuously, in compliance with NIST SP 800-61 and Government guidance. Follow current guidance from NIST 800-61, Federal Incident Notification Guidelines, CISA's Incident Response and Vulnerability Playbook, and client guidance. Monitor system status and sensor data from deployed sensors and triage for validity from Security Information and Event Management (SIEM) System, email, texts, phone calls and all enterprise managed dashboards. Analyze all sources including network traffic, identity, fault, performance, and bandwidth information, alerts and data to augment detection of network anomalies and unauthorized activity. Meet regularly with client stakeholders to develop content, analytic rules, alerts, dashboards, automation and identify ways to improve availability and efficiency of client's incident response program. Categorize, Prioritize, and Report on cybersecurity events in accordance with (IAW) SOPs and other relevant policies documents. Implement cybersecurity mitigations leveraging client tools and systems. Create and escalate cybersecurity-related investigations to both internal and external entities such as DHS or other Government Agencies with client and Federal defined timelines. Manage, coordinate, and respond to FOIA, audits, data calls, e-discovery and information requests. Schedule and execute incident response tabletop exercises with each client FISMA system on an annual basis. Review and handle phishing messages reported by client staff. Required (Minimum Necessary) Qualifications Education Requirements: High School or GED-General Educational Development-GED Diploma Bachelor's degree in computer science or equivalent is preferred Level of Experience Requirements: Minimum of five years hands-on experience Proven experience detecting, triaging, and responding to cyber incidents across enterprise networks and cloud environments. Knowledge, Skills, Abilities, and Other Characteristics Proficiency with SIEM, EDR/XDR platforms, and forensic tools. Strong understanding of threat actor TTPs, MITRE ATT&CK framework, and incident containment strategies. Ability to analyze network traffic, logs, and endpoint telemetry to identify malicious activity. Familiarity with malware analysis, reverse engineering basics, and memory analysis concepts Experience developing and tuning detection rules, playbooks, and automated response workflows. Working knowledge of incident response frameworks (e.g., NIST SP 800-61, SANS). Understanding of vulnerability management, threat intelligence integration, and SOC metrics/reporting. Understanding of basic computer and networking technologies. Windows and Linux/Unix operating systems Networking technologies (routing, switching, VLANs, subnets, firewalls) Common networking protocols - SSH, SMB, SMTP, FTP/SFTP, HTTP/HTTPS, DNS, etc. Common enterprise technologies - Active Directory, Group Policy, and the Microsoft Azure suite of cloud services. Understanding of current system logging technology and retrieving information from a plethora of technology platforms. Ability to work well in a team environment. Self-starter with ability to work with little supervision. Willingness to take on and adapt to new, open-ended tasks for which there is no current standard operating procedure. Ability to research independently and self-teach. Strong analytical and decision-making skills under pressure. Excellent written and verbal communication, including incident documentation and executive briefings. Ability to lead investigations, mentor junior analysts, and collaborate with cross-functional teams. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Accordingly, U.S. Citizenship is required. Preferred Interest in security/hacking culture. Ability to "think like an attacker" General cybersecurity certifications (one or more of the following preferred): CompTIA Security+ CompTIA Cybersecurity Analyst (CySA+) Certified Ethical Hacker (CEH) GIAC Certified Incident Handler (GCIH) Any cloud security certification, especially: CompTIA Cloud+ Certified Cloud Security Professional (CCSP) Cloud Security Alliance Certificate of Cloud Security Knowledge (CCSK) Any Microsoft 365/Azure cybersecurity certification, especially: Microsoft Certified: Security Operations Analyst Associate (SC-200) Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC-900) Microsoft Certified: Azure Fundamentals (AZ-900) Microsoft Certified: Azure Security Engineer Associate (AZ-500) Familiarity with the Microsoft 365 and Microsoft Azure suite of products, including Microsoft Sentinel and Microsoft 365 Defender. Knowledge of common enterprise technologies, policies, and concepts such as: Microsoft Sentinel SIEM Kusto Query Language (KQL) Mobile device technologies (iOS, Android) Scripting experience (PowerShell, Python, etc.) Microsoft Power BI Azure DevOps Artificial Intelligence (AI) / Machine Learning (ML) expertise In-depth knowledge of AI and ML concepts. How to practically apply AI/ML technologies to enhance cyber threat hunting and incident response capabilities. Experience with specific AI services offered within Microsoft Azure. Supervisory Responsibilities This position will not have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Physical Setting: Washington DC Schedule and Flexibility: Full Time in Office Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.
Zoox
San Mateo, California
Job Description Job Description Zoox is building fully autonomous vehicles designed from the ground up for robotaxi service - and as we scale toward launch, our engineering infrastructure has to scale with us. We're hiring a Staff Site Reliability Engineer to own source control at Zoox, serving as the technical lead for the platform that every engineer depends on daily. This is a hands-on lead role. You'll set the direction for our Git-based monorepo, drive a potential migration to GitHub Cloud, build the tooling that smooths developer workflows, and partner with platform, security, and product teams to make source control a strategic asset rather than a bottleneck. The ideal candidate leads by building - with deep expertise in monorepo management (branching strategies, code review workflows, access controls, CI/CD) and a track record of improving developer productivity through code, not just guidance. You take ownership, measure what matters, and have the technical credibility to make decisions stick. In this role, you will: Own the technical strategy and roadmap for source control - GitHub Enterprise today, GitHub Cloud tomorrow - and write the core code that makes it real. Plan and execute a full migration from GitHub Enterprise to GitHub Cloud: scoping, design, implementation, cutover, and validation, in partnership with security, platform, and engineering teams. Build and operate monorepo scalability improvements across repo structure, branch strategy, code ownership, large-file handling, and CI integration - including the scripts, hooks, and automation that make them stick. Develop the guardrails and developer-facing tooling that reduce toil for SRE and product engineering alike, measured by build times, merge friction, and interrupt volume. Set the technical bar through code reviews, design proposals, and pairing - and serve as the hands-on authority for source control decisions across Zoox engineering Qualifications 5+ years operating GitHub Enterprise (or equivalent) at scale, with hands-on experience scaling a large monorepo for an org of several hundred or more engineers. Strong CI/CD integration background (Buildkite, GitHub Actions, Jenkins, or GitLab CI) across code review workflows, build triggers, branch policies, and merge automation. Experience with infrastructure as code (Terraform, Pulumi, or equivalent), major cloud platforms, and executing platform migrations against active codebases. Strong technical leadership and written communication; able to drive alignment across infrastructure, security, and product engineering. Bonus Qualifications Direct experience migrating from GitHub Enterprise Server to GitHub Cloud. Familiarity with monorepo build tooling (Bazel, Buck, or similar) and supply-chain hardening practices (signed commits, dependency governance, secret scanning). Experience with code review tooling layered on top of GitHub (Reviewable, Gerrit, or similar). About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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.
Job Description Job Description Zoox is building fully autonomous vehicles designed from the ground up for robotaxi service - and as we scale toward launch, our engineering infrastructure has to scale with us. We're hiring a Staff Site Reliability Engineer to own source control at Zoox, serving as the technical lead for the platform that every engineer depends on daily. This is a hands-on lead role. You'll set the direction for our Git-based monorepo, drive a potential migration to GitHub Cloud, build the tooling that smooths developer workflows, and partner with platform, security, and product teams to make source control a strategic asset rather than a bottleneck. The ideal candidate leads by building - with deep expertise in monorepo management (branching strategies, code review workflows, access controls, CI/CD) and a track record of improving developer productivity through code, not just guidance. You take ownership, measure what matters, and have the technical credibility to make decisions stick. In this role, you will: Own the technical strategy and roadmap for source control - GitHub Enterprise today, GitHub Cloud tomorrow - and write the core code that makes it real. Plan and execute a full migration from GitHub Enterprise to GitHub Cloud: scoping, design, implementation, cutover, and validation, in partnership with security, platform, and engineering teams. Build and operate monorepo scalability improvements across repo structure, branch strategy, code ownership, large-file handling, and CI integration - including the scripts, hooks, and automation that make them stick. Develop the guardrails and developer-facing tooling that reduce toil for SRE and product engineering alike, measured by build times, merge friction, and interrupt volume. Set the technical bar through code reviews, design proposals, and pairing - and serve as the hands-on authority for source control decisions across Zoox engineering Qualifications 5+ years operating GitHub Enterprise (or equivalent) at scale, with hands-on experience scaling a large monorepo for an org of several hundred or more engineers. Strong CI/CD integration background (Buildkite, GitHub Actions, Jenkins, or GitLab CI) across code review workflows, build triggers, branch policies, and merge automation. Experience with infrastructure as code (Terraform, Pulumi, or equivalent), major cloud platforms, and executing platform migrations against active codebases. Strong technical leadership and written communication; able to drive alignment across infrastructure, security, and product engineering. Bonus Qualifications Direct experience migrating from GitHub Enterprise Server to GitHub Cloud. Familiarity with monorepo build tooling (Bazel, Buck, or similar) and supply-chain hardening practices (signed commits, dependency governance, secret scanning). Experience with code review tooling layered on top of GitHub (Reviewable, Gerrit, or similar). About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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.