362 jobs found

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.

Please note, this is a fully onsite position at our facility in Greensboro, NC. Technical Summary: The System Administrator III, Health Systems (Epic MyChart) supports the Clinical Care and Patient Engagement Technologies organization by serving as a senior-level subject matter expert responsible for the analysis, design, configuration, implementation, optimization, and ongoing support of Epic applications. This role evaluates complex clinical and business requirements and translates them into scalable, efficient technology solutions that align with organizational goals, Epic best practices, regulatory requirements, and industry standards. Leveraging advanced analytical, technical, and workflow design expertise, the Systems Administrator III, Health Systems (Epic MyChart) leads and supports large-scale projects, system implementations, upgrades, and optimization initiatives. The position identifies opportunities to improve system functionality, operational efficiency, and the end-user experience while supporting all phases of the application lifecycle, including requirements gathering, design, build, testing, implementation, training, optimization, and production support. Working collaboratively with clinical leaders, business stakeholders, vendors, and cross-functional IT teams, this role serves as a trusted advisor, providing strategic guidance and technical expertise to ensure the stability, scalability, performance, and long-term success of enterprise Epic solutions. Job Summary: In addition to the responsibilities listed below, this position is responsible for system build, testing, validation, and ongoing support of assigned applications. This position will possess clinical or IT systems knowledge and experience to develop and support safe and high quality care using the electronic health record. This position will perform in depth and precise investigation and documentation of future- state operational specifications and application functionality. Performing analysis of application capabilities workflows, data collection, report details, and other clinical and/or technical issues associated with Epic software. This position is responsible for developing and documenting the internal procedures that will be used in conjunction with Epic applications. Some of the unique challenges this position will face include analyzing clinical and business operations and investigating user preferences; prioritizing & implementing requested system changes & updates; serving as a liaison between end users, third parties, and Epic implementation staff. This position develops and documents internal procedures, collects information and prepares specifications of system enhancements, analyzes functionality in new releases and tests each new release. Essential Responsibilities: Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies, and applying data and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate. Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback. Meets timelines to drive the delivery of appropriate, sustainable, and prompt solutions. Provides first and second level support for enterprise systems and systems in one or more additional IT domains by diagnosing, troubleshooting, and resolving complex incidents to minimize system issues. Supports stability, availability, and performance of enterprise systems (e.g., systems, applications, network, databases, storage, security) by monitoring systems to identify problems, trends, and opportunities for improvement. Assists technical and project team members to resolve system problems and application-specific issues. Escalates identified issues, risks or problems to lead administrators according to processes. Plans and performs complex system configuration. Supports communications with product users and suppliers to share information, identify opportunities, resolve problems, prioritize customer requirements, and maintain continuous improvement through customer feedback. Defines and tests maintenance and refresh activities. Participates in the installation, upgrade, or decommissioning of designated systems, products, and infrastructure. Assists with application-oriented administration and technical support for production and non-production environments. Supports vendor support activities, as appropriate. Recommends and executes performance tuning and optimization activities. Creates documentation of new and existing system configuration and procedural information, and reviews documentation of others. Minimum Qualifications: Minimum two (2) years experience working with EPIC or comparable health system software OR Minimum two (2) years scripting or programming experience. Bachelors degree in Computer Science, Engineering, Social Science, Education, Business, Health Care or related field and Minimum three (3) years working in IT or operations. Additional equivalent work experience may be substituted for the degree requirement.

Kaiser Permanente seeks an IT Infrastructure Engineer V to design, implement, and optimize secure, scalable infrastructure supporting enterprise healthcare systems. In this senior role, you'll architect hybrid cloud and on prem environments, lead complex migrations, and drive automation using Infrastructure as Code to improve reliability and speed. You'll collaborate with security, application, and operations teams to ensure high availability, robust monitoring, and disaster recovery. This position offers growth, technical leadership opportunities, and impact on mission-critical patient care systems within a collaborative, innovation-focused culture.

Kaiser Permanente seeks a Principal IT Infrastructure Engineer to lead the design, implementation, and optimization of secure, scalable infrastructure supporting critical healthcare systems. You will architect hybrid cloud and on-prem solutions, drive automation with Infrastructure as Code, and ensure high availability, performance, and resilience. Partnering with cross-functional teams, you'll guide standards, mentor engineers, and champion observability, security, and reliability. Join a collaborative, innovation-focused culture that supports continuous learning and offers meaningful impact on patient care and operational excellence.

Join a dynamic and innovative team as the Director of Hardware Design, where you will play a pivotal role in shaping the future of electrical hardware for global deployments. This senior-level position focuses on electrical engineering with a strong emphasis on solar power systems, camera and imaging electronics, and robust outdoor electrical systems. You will drive the entire hardware lifecycle, from strategy to execution, ensuring reliable and cost-effective solutions that empower advanced AI models in diverse environments. In this role, you will collaborate closely with software, AI/computer vision, QA, product, and procurement teams to define hardware strategies and make critical decisions. Your responsibilities will include managing BOMs, vendor relationships, and delivering manufacturable hardware that meets the demands of global markets. This position combines deep technical expertise with strategic leadership, laying the groundwork for future hardware team expansion. Key Responsibilities Electrical Hardware Design & Development: Spearhead the design and optimization of solar power systems for outdoor devices. Lead the development of camera and imaging hardware, ensuring optimal performance in varying environmental conditions. Develop robust electrical systems for global deployment, focusing on temperature variance, protection, and reliability. BOM, Procurement & Supply Chain Management: Manage BOMs, focusing on component selection, cost optimization, and lifecycle management. Work closely with procurement and operations to ensure efficient vendor and contract manufacturer relationships. Cross-Functional Collaboration & AI Enablement: Partner with AI/ML and computer vision engineers to ensure hardware meets image quality and power efficiency standards. Collaborate with software and QA teams for system integration and testing. Strategic & Roadmap Leadership: Define the hardware technology roadmap, focusing on electrical architecture and global deployment goals. Act as the primary expert in engineering discussions and lay the foundation for team growth. Quality, Reliability & Compliance: Ensure all hardware meets regulatory requirements and is designed for long-term reliability. Establish robust validation processes for global deployments. Qualifications Required Bachelors or Masters degree in Electrical Engineering or a related field. 1015+ years of hands-on experience in electrical hardware design for solar power systems, camera/imaging electronics, and rugged outdoor devices. Expertise in power electronics, battery management systems, and low-power design for solar applications. Proven experience with camera modules and imaging pipelines for computer vision applications. Strong proficiency in schematic capture and PCB design tools, particularly Altium. Experience with BOM management and collaboration with procurement and manufacturers. Ability to independently lead hardware projects and influence cross-functional teams. Excellent communication skills and experience with mechanical integration requirements. Preferred Experience designing hardware for worldwide deployment, including regulatory compliance. Direct experience with electrical hardware for computer vision or edge AI platforms. Background in smart cities, municipal infrastructure, or related fields. Experience with high-volume outdoor electronic deployments. Patent contributions or experience in driving hardware-related intellectual property. Apply now to lead cutting-edge hardware design initiatives and contribute to revolutionary global solutions.

Job Description Pay Range: $96,000 - $120,000 depending on relevant experience and qualifications MITER Brands is a residential window and door manufacturer that provides a leading portfolio of window and door brands for the new construction and replacement segments. MITER Brands, also known as Milgard, MI Windows & Doors and PGTI is one of the nation's largest suppliers of vinyl windows and patio doors, with plants across the country. The Systems Engineer is responsible for effective provisioning, installation/configuration, operation, and maintenance of systems hardware and software and related infrastructure. This individual participates in technical research and development to enable continuing innovation within the infrastructure. This individual ensures that system hardware, operating systems, software systems, and related infrastructure are continually up and running, and that system-wide backups and monitoring are accurate and complete. This position can be based in Tacoma, WA or North Venice, FL - Please note that there is a travel requirement listed below under Qualifications Responsibilities Life cycle maintenance of systemsPerform data backups and disaster recovery operationsProvide restores from backups when requestedProactively check backup health and completenessProactively monitor and respond to system wide healthAnalyze system logs and identify potential issues with computer systemsRecommend changes to improve systems and network configurations and determine hardware or software requirements related to such changesRespond to system outagesInstall and configure new hardware and softwareResponsibility for documenting the configuration of the systemTroubleshoot problems, both hardware and software, with systemsApply operating system updates, patches, and configuration changesPerform routine audits of systems and softwareResponsibilities sometimes require working evenings and weekends, sometimes with little advance notice Qualifications High School Diploma or GED required; Bachelor's degree in Computer/IT related field is desired7+ years' experience as a Server System Administrator in Windows, Unix, and/or Linux5+ years' networking experience, including firewalls, switches, and routersExperience in a role supporting multiple locations is desiredExperience with DNS, DHCP, Active DirectoryExperience managing MS Internet Information Server (IIS)Experience with MS SQL, Oracle or MySQL is desiredExperience with NetApp Storage is preferredExperience with VMware and Nutanix virtualization platforms, including deployment, administration, and optimization of enterprise infrastructure preferredStrong knowledge and understanding of business needs, with the ability to establish and maintain a high level of customer trust and confidenceExcellent problem-solving skillsExcellent verbal and written communication skills, including documentationStrong interpersonal skillsWilling to travel 10% - 25% Physical requirements Prolonged standing and periodically lifting, stretching and twistingProlonged sitting and terminal useMay be required to lift up to 50 lbs. periodicallyHand dexterity and strengthWork outside normal hours may be required, including some weekends as needed to support the needs of the business Work environment Work performed primarily indoors and in production type facility What We Offer At MITER Brands, we invest in your health, wealth, and wellness. Our comprehensive benefits package supports you and your eligible spouse/dependents while helping you achieve your personal and professional goals. We offer competitive pay, a 401(k) with company match, and generous paid time off to help you maintain a healthy work-life balance. Health & Wellness Three comprehensive medical plan optionsPrescription drug coverageDental insuranceVision insuranceTeladoc virtual healthcare servicesEmployee Assistance Program (EAP)Annual Wellness Clinic Financial Protection Company-paid Life InsuranceVoluntary Life InsuranceCompany-paid Short-Term DisabilityCompany-paid Long-Term DisabilitySupplemental Hospital Indemnity InsuranceCritical Illness InsuranceAccident Insurance Additional Benefits Paid Time Off (PTO) and paid holidays401(k) retirement plan with company matchTuition Reimbursement ProgramLegal InsuranceIdentity Theft ProtectionPet InsuranceTeam Member Discount Program MITER Brands, including MI Windows and Doors, Milgard, and PGT Innovations, is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, or any other protected status under applicable law. Work Authorization and Sponsorship Disclosure: The Company does not offer employer sponsorship at this time. Therefore, candidates must provide truthful and complete information regarding their eligibility to work in the and any current or future need for employment sponsorship. Misrepresentation regarding work authorization or sponsorship need at any stage of the hiring process will result in disqualification from consideration, rescission of an employment offer, or termination of employment.

Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: The Cloud Platform Engineering team provides support for public cloud services in Azure. This includes consulting, onboarding, application success management, platform operations, product ownership, FinOps and new service enablement. We enable and support secure and resilient usage of Public Cloud across KP application, analytics, and platform teams. This position is project facing and will interact with internal KP teams, platform engineering, operations and vendors to enable delivery of required product capabilities in the data analytics space, driving product for Databricks and providing success management across Azure platform service consumers from project inception through go-live. Additional duties include: Responsible for early engagement and architecture consulting support of Azure Platform capabilities Pro-actively engages with application teams, engineering, operations, and vendors to drive product capability delivery Advocate for application teams, supporting roadmap alignment for delivery of new cloud capabilities Supports applications as a trusted advisor from project intake to go-live Drives schedule alignment and owns delivery of platform environments per agreed upon application needs Job Summary: This senior level individual contributor is primarily responsible for serving as the lead technical expert on project teams, contributing to technical direction for varying technical solutions, and ensuring IT systems are effectively utilized. Essential Responsibilities: Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks, as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; evaluating recommendations made; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and improve opportunity areas; and adapting to and learning from change, difficulties, and feedback. Develops requirements, or leads a team of IT consultants in the development of requirements for complex or specialized process or system solutions which may span multiple business domains by partnering with stakeholders and appropriate IT teams (for example, Solutions Delivery, Infrastructure, Enterprise Architecture). Leverages multiple business requirements gathering methodologies to identify business, functional, and non-functional requirements (for example, SMART) across the enterprise. Leads and oversees the development and documentation of comprehensive business cases to assess the costs, benefits, ROI, and Total Cost of Ownership (TCO) of complex solution proposals. Provides insight, guidance, and recommendations throughout the evolution of applications, systems, and/or processes to a desired future state by maintaining and leveraging a comprehensive understanding of how current processes impact business operations across the enterprise. Maps current state against future state processes. Defines the impact of requirements on upstream and downstream solution components. Provides insight and influence to senior management and business leaders on how to integrate requirements with current systems and business processes across the enterprise. Reviews, evaluates, and prioritizes value gaps and opportunities for process enhancements or efficiencies. Influences solution design by providing insight and consultation at design sessions with IT teams to help translate requirements into workable business solutions. Recommends and advocates for additional data and/or services needed to address key business issues related to process or solutions design. Participates in evaluating third-party vendors as directed. Drives continuous process improvement by leading the development, implementation, and maintenance of standardized tools, templates, and processes across the enterprise. Recommends and advocates for regional and national process improvements which align with sustainable best practices, and the strategic and tactical goals of the business. Minimum Qualifications: Bachelors degree in Business Administration, Computer Science, CIS or related field and Minimum eight (8) years experience in IT consulting, business analysis, or a related field. Additional equivalent work experience may be substituted for the degree requirement.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Position: Senior Security Engineer - PKI & Detection, Aircraft Security Location: Fort Worth Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178661 Job Overview: We are seeking a Senior Security Engineer to support aircraft security initiatives focused on detection, remediation, and Public Key Infrastructure (PKI). This role will independently design and operate security solutions, investigate security events, develop detections, and drive remediation activities through validated closure. The ideal candidate brings strong hands-on PKI engineering expertise, Microsoft Sentinel detection engineering experience, and the ability to work across technical teams to improve security, reliability, and scalability. Responsibilities: Design, build, test, document, and maintain security engineering solutions, scripts, processes, and reusable components in accordance with organizational standards. Develop and tune Microsoft Sentinel detections, KQL queries, analytics rules, dashboards, and investigation workflows. Conduct end-to-end security event investigations, perform root-cause analysis, and produce clear written documentation of findings and corrective actions. Own remediation lifecycle activities, including remediation-plan reviews, vulnerability and finding tracking, and validation of closure. Design and operate PKI solutions, including certificate enrollment, authentication, software signing, validation, and supporting key-management processes. Partner with security and engineering teams to incorporate security-conscious practices early in the system development lifecycle. Identify technical risks related to scalability, latency, durability, and security, and lead practical mitigation strategies. Guide junior engineers on technical craftsmanship and contribute to continuous improvement of engineering practices. Explore emerging technologies and develop prototypes that may be incorporated into security architecture and operational solutions. Qualifications: At least 5 years of security engineering experience with demonstrated independent project ownership; queue-based SOC or triage-only experience is not sufficient. Hands-on PKI engineering experience, including PKI solution design and operations, certificate enrollment protocols such as SCEP and EST, Certificate Policy/Certification Practice Statements (CP/CPS), trusted roles, Levels of Assurance, and NIST SP 800-63. Strong Microsoft Sentinel experience, including KQL/query development, detection rule authoring, dashboard development, and independently led end-to-end security event investigations. Experience owning remediation lifecycle engineering, including remediation-plan review, vulnerability/finding tracking, and validated closure. Nice to Have Skills and Experience: Experience with AI or agentic security tooling, including LLM-assisted code or configuration analysis and prompt engineering for security use cases. Endpoint platform engineering, SSO policy groups, API scripting and automation using Python or PowerShell. Experience with aviation, OT, cyber-physical systems, embedded systems, HSMs, key-management, or code-signing infrastructure. Interview Process: Two interview rounds: the first interview will be virtual, followed by an in-person interview. 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: $60-$65/Hr on 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