We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? Enterprise Technology is looking for a Security Engineer within Enterprise Platform Engineering and Operations group to engineer solutions within our Cybersecurity platforms in support of our Cyber Defense Organization. Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience, and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are. This position drives the software architecture and engineering of our SIEM/SOAR and unified risk management ecosystems. With a primary focus on cloud based SIEM/SOAR & security management platforms, you will apply software engineering principles to build scalable, API-driven security solutions. The ideal candidate brings a hybrid background in coding and security, capable of programmatically managing infrastructure, developing custom data pipelines, and engineering automation workflows to empower a mature SOC. You will collaborate with cross-functional teams to code and deploy enhancements that strengthen our security posture and automate compliance standards. - Architect and engineer scalable, cloud-native SIEM solutions, utilizing Infrastructure-as-Code principles to manage log ingestion pipelines and storage. - Develop and maintain robust data pipelines to ingest, transform, and normalize security logs from diverse endpoints (APIs, cloud platforms, firewalls) into the SIEM, ensuring high data fidelity and low latency. - Write and optimize custom parsers using Regex and scripting languages to map raw log data to standardized security models, ensuring consistent data structures for analysis. - Program custom integrations connecting third-party tools and streaming data sources to the SIEM via REST APIs and webhooks. - Collaborate with DevOps and Application teams to define logging standards and embed security telemetry requirements early in the software development lifecycle (SDLC). - Manage the full lifecycle of the SIEM platform, including health monitoring, troubleshooting ingestion failures, and debugging parsing errors to ensure 24/7 availability. - Proactively analyze ingestion volume against capacity limits to identify optimization opportunities, implementing granular log tuning and exclusion rules that minimize licensing costs and maximize the signal-to-noise ratio - Engineer automated provisioning workflows using Infrastructure as Code (IaC) to programmatically manage both the underlying infrastructure and complex IAM policies supporting the security platforms. You’ll have: - Bachelor’s degree in Computer Science, Cyber Security, Information Systems or related field. - 6+ years of overall software engineering experience - 2+ technical experience designing and maintaining scalable security data architectures. - Skilled in configuring cloud-native security & SIEM/SOAR platforms. - Experience with security logging, data sources, log parsing & tuning and industry best practices for log ingestion - Experience administering cloud-native security platforms, with a specific focus on maintaining platform health, troubleshooting configuration issues, and managing complex IAM roles to ensure granular access control. - 2+ years hands-on development experience on cloud native platforms, preferably Google Cloud Platform. Even better, you may have... - Proficiency in scripting languages like Python, Go, Java, or Bash for automation, data manipulation, and integration tasks. - Hands-on experience setting up CI/CD pipelines. OpenShift Tekton, or GitHub Actions or similar. - Knowledge of secure coding practices - Experience setting up serverless functions using GCP Cloud Run or Cloud functions, and configuring the respective service for scaling - Robust knowledge of system design principles including reliability, availability, and scalability - Experience setting up logging and monitoring services (Dynatrace, GCP Ops Suites) - Strong understanding of network security, log analysis, threat detection, and incident response. - Knowledge of RESTful APIs, data integration techniques, and infrastructure-as-code tools (e.g., Terraform, Ansible). - Analytical and Problem-Solving Skills: - Ability to analyze complex data systems, identify improvement opportunities, and translate business requirements into detailed technical designs. - Excellent analytical skills and attention to detail for solving complex problems with many variables. - Communication and Collaboration: - Strong verbal and written communication skills to articulate technical issues, collaborate with stakeholders, and create comprehensive documentation. - Ability to work effectively in a team environment and interact with various internal and external teams. - Comfortable supporting multiple client environments and balancing delivery with operations. - Security & Cloud skills: - Familiarity with security concepts, cybersecurity frameworks such as NIST, MITRE ATT&CK threat hunting, and cyber threat intelligence. - Strong technical experience working in multi-cloud platforms, particularly Google Cloud. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: - Immediate medical, dental, and prescription drug coverage - Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more - Vehicle discount program for employees and family members, and management leases - Tuition assistance - Established and active employee resource groups - Paid time off for individual and team community service - A generous schedule of paid holidays, including the week between Christmas and New Year’s Day - Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: Benefit Summary This position is a salary grade 7- 8. This position is a salary grade 7-8 and ranges from $97,140-190,500. *Visa Sponsorship is not provided for this role* Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-GH2

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Principal Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments: GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Principal Software Engineer, you will set technical direction and drive execution of critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s customer and supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: - Own the architecture and roadmap for one or more core security services (e.g., authN/Z, policy enforcement, secure proxies, key management), taking them from design to rollout to long-term operation. - Design and implement planet-scale security systems that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD: balancing security, reliability, latency, and developer ergonomics. - Lead cross-functional launches with infrastructure and research engineering teams, shaping interfaces, migration plans, and safe rollout strategies across large fleets and critical workflows. - Build or evolve security primitives (identity, attestation, authorization, encryption key lifecycle, access mediation) that become platform building blocks for OpenAI. - Leverage frontier models and agents to develop automation and detection tooling to continuously identify and mitigate risks in large-scale cloud and on-prem environments. - Lead design reviews and threat models for major initiatives, and drive closure on systemic issues. - Mentor engineers across InfraSec and partner teams, raising the bar on engineering quality, operational readiness, and secure-by-default practices. You will thrive in this role if you have: - Strong software engineering skills with a track record of shipping and operating reliable distributed systems in production. - Experience building or operating critical infrastructure, especially security infrastructure, at planet scale (e.g., auth services, service-to-service proxies, certificate or key-management systems). - Deep understanding of security principles, best practices, and common vulnerabilities. - Demonstrated ability to lead cross-team technical initiatives: setting direction, aligning stakeholders, driving execution, and delivering measurable outcomes. - Expertise and curiosity about using frontier models and agents to effectively solve security challenges. - Expertise in securing large-scale cloud platforms (e.g., Azure, AWS, GCP), including multi-cloud networks and cloud-agnostic system design. - A proactive mindset, with the ability to identify and address security gaps or inefficiencies through automation and tooling. - Strong analytical and problem-solving skills, with an ability to think critically and objectively assess risks. - Excellent communication skills, with the ability to convey complex security concepts to executive, technical, and non-technical stakeholders. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

• Own end-to-end security outcomes for one or more critical infrastructure areas, including multi-quarter strategy, roadmap, and delivery. • Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. • Lead cross-functional programs to deploy security enhancements and control changes across broad-scale infrastructure, balancing security guarantees with reliability and velocity. • Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges. • Lead and/or drive threat modeling and design reviews for major infrastructure changes, ensuring strong security foundations and operational excellence. • Mentor and level up engineers across InfraSec and partner teams, contributing to a strong security culture through guidance, reviews, and technical leadership.

Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What to know: - Commvault does not conduct interviews by email or text. - We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. Security Architect – AI Technologies The Opportunity As a Security Architect focused on AI at Commvault, you will help secure the design and deployment of vendor developed AI- and ML-enabled systems across our internal environment and internal platforms. This role is hands-on and forward-looking, centered on identifying and mitigating security risks unique to AI systems while enabling innovation at scale. As a member of the Security Architecture team you will partner closely with Enterprise Architecture, Security Engineering, and Cloud Security teams to conduct security reviews of AI enabled products and workflows. What You’ll Do - Identify and assess security risks associated with AI/ML systems, models, data pipelines, and integrations - Define and implement security controls for AI development, training, deployment, and inference environments. - Partner with engineering teams to embed security into AI design reviews, threat modeling, and SDLC processes. - Assess and mitigate risks such as data leakage, model abuse, prompt injection, and unauthorized access. - Secure AI-related data sources, training datasets, and model artifacts. - Evaluate third-party AI services and integrations for security and compliance risk. - Develop guidance, standards, and guardrails for secure and responsible AI usage. - Support incident response involving AI systems or AI-related attack vectors. - Monitor emerging AI threats and vulnerabilities and translate them into actionable controls. - Support compliance, privacy, and customer trust requirements related to AI usage. Who You Are - 5+ years of experience in information security, product security, or security engineering roles - Strong communication ability to work with both technical stakeholders and leadership - Strong, structured writing ability needed to conduct security reviews - Strong understanding of application security fundamentals and secure SDLC practices. - Strong understanding of securing AI-related authentication and authorization mechanisms (OAuth 2.0, OIDC, general token management) - Familiarity with AI/ML concepts, workflows, and common architectures. - Familiarity with MCP, tools and AI policy guardrails - Familiarity with LLM security risks (e.g., prompt injection, data poisoning, model extraction). - Experience securing cloud-based services and data pipelines. - Knowledge of modern threat modeling and risk assessment techniques. - Comfortable collaborating with engineering, data science, and product teams. - Able to translate complex security risks into practical guidance. Nice to Have - Knowledge of data protection, privacy, and governance principles. - Experience with cloud-native security tools and platforms. - Security certifications (CISSP, CCSP, GWAPT) or relevant AI/security coursework. - Experience with Agentic workflows and multi-agent architecture concepts including planning loops, tool selection control, state management, policy guardrails/constraint enforcement - Familiarity with platforms like Langgraph, LangChain, CrewAI, AutoGPT or similar solutions You’ll love working here because... - Continuous professional development, product training, and career pathing - An inclusive company culture, opportunity to join our Employee Groups - Generous benefits supporting your health, financial security, and work-life balance - Employee stock purchase plan (ESPP) Ready to #makeyourmark at Commvault? Apply now! #LI-MD #LI-Remote Thank you for your interest in Commvault. Reflected below is the minimum and maximum base salary range for this role. At Commvault we use broad salary ranges in our job postings to reflect the diverse levels of expertise and experience among our candidates and is not reflective of the total compensation and benefits package. The specific salary offered will be determined based on your unique qualifications, including your relevant experience, skills, and the value you bring to the role. While the range provides a general idea of the compensation, it is important to note that placements within the range are not automatic and will be carefully considered to ensure a fair and competitive offer. We are committed to rewarding talent and experience. Pay Range $72,250—$195,500 USD Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work. Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com. Commvault's Privacy Policy