it job board logo
  • Home
  • Find IT Jobs
  • Register CV
  • Register as Employer
  • Contact us
  • Career Advice
  • Recruiting? Post a job
  • Sign in
  • Sign up
  • Home
  • Find IT Jobs
  • Register CV
  • Register as Employer
  • Contact us
  • Career Advice
Sorry, that job is no longer available. Here are some results that may be similar to the job you were looking for.

164 jobs found

Email me jobs like this
Refine Search
Current Search
controls automation engineer
Senior Hardware Engineer - $130000
OPUS IVS INC Dexter, Michigan
Description: Company Overview At Opus IVS, our mission is to drive advancement in the automotive industry by assisting customers with complex vehicle repairs. Guided by our core values of Customer Focus, Innovation, Collaboration & Teamwork, and a Results-Driven approach, we continually strive to develop advanced technology that empowers us to fulfill our mission. Opus IVS technology & products has been a leader in the industry since the late 90's. Opus IVS offers modern collision shops an integrated platform of leading diagnostics and calibration solutions, anchored by expert technicians and cutting edge, patented technology. Position Summary The Senior Hardware Engineer will help develop state of the art vehicle diagnostic equipment and communication devices. This individual will work directly with Opus IVS's various technology departments to develop world-class diagnostic tools that meet and exceed our customers' needs. Responsibilities: Develop new embedded automotive diagnostic pass-thru products (PC boards and firmware). Build diagnostic systems including PC hardware, vehicle communication hardware, and battery management hardware. Develop new products/devices, features, and improve quality for new and existing hardware, firmware, and software. Improve code quality through writing unit tests, automation and performing code reviews. Design and develop product and protocol validation tests. Build product tools using C, C++, & C#. Test new designs and find solutions to issues. Create test systems for the new products. Implement new vehicle protocols and create test suites to confirm their operation. Interface with customers to collect information on the performance of our products. Other duties as assigned. Skills & Abilities : Customer Focus: Ability to understand and respond to the needs of customers with professionalism and care. Innovation: Ability to generate and apply creative ideas that improve work processes or add value. Collaboration & Teamwork: Ability to build cooperative relationships and contribute to group success. Results Driven: Ability to maintain a strong focus on achieving goals and delivering impactful results. Technical Aptitude: Ability to understand and use specific tools, systems, or technologies relevant to the role. Detail Oriented: Ability to focus on details, ensuring accuracy and precision in work tasks. Analytical Thinking: Ability to examine data and issues logically to draw insightful conclusions. Requirements: Qualifications: Bachelor's Degree in Hardware Engineering or related field; or equivalent experience plus education/training 7+ years' experience in hardware design or development Experience developing products using the ARM family of processors Strong understanding of electronic design for EMC / EMI compliance Strong knowledge of hardware design and components including MPUs, UART, CAN, LIN, A/D, D/A converters, RAM/Flash memories, and other digital electronics Experience with designing processors, power supplies, communication, analog, and digital electronic circuits Strong knowledge and experience of C, C++, and C# programming languages Ability to debug electronic circuits Ability to solder surface mount components onto a PC board Has knowledge about OBD (On Board Diagnostics) Experience with batteries and battery maintenance circuits Familiar with the SAE J2534 specification Some experience with USB, Bluetooth, and Wi-Fi connections Knowledgeable of Automotive diagnostic protocols Familiarity with Jira and Confluence WHAT WE OFFER: Competitive Pay: We know your value and we're not afraid to pay for it. We offer a competitive total compensation plan including salary, bonuses, tuition reimbursement, and a match contribution to your 401k. Time Off: Besides our competitive paid time off package, employees receive paid holidays and floating holidays. Benefits: We offer a comprehensive benefits package, including all the necessities such as medical, dental, and vision. Opportunity: to be a part of a fast-growing company working to make the world safer! We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other characteristic protected by state, federal, or local law. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of the job, the employee is regularly required to use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; talk or hear. The employee frequently is required to stand, walk and sit. The employee is occasionally required to stoop, kneel, crouch or crawl. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and the ability to adjust focus. The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Compensation details: 00 Yearly Salary PI1a60726f76cb-0987
09/23/2026
Full time
Description: Company Overview At Opus IVS, our mission is to drive advancement in the automotive industry by assisting customers with complex vehicle repairs. Guided by our core values of Customer Focus, Innovation, Collaboration & Teamwork, and a Results-Driven approach, we continually strive to develop advanced technology that empowers us to fulfill our mission. Opus IVS technology & products has been a leader in the industry since the late 90's. Opus IVS offers modern collision shops an integrated platform of leading diagnostics and calibration solutions, anchored by expert technicians and cutting edge, patented technology. Position Summary The Senior Hardware Engineer will help develop state of the art vehicle diagnostic equipment and communication devices. This individual will work directly with Opus IVS's various technology departments to develop world-class diagnostic tools that meet and exceed our customers' needs. Responsibilities: Develop new embedded automotive diagnostic pass-thru products (PC boards and firmware). Build diagnostic systems including PC hardware, vehicle communication hardware, and battery management hardware. Develop new products/devices, features, and improve quality for new and existing hardware, firmware, and software. Improve code quality through writing unit tests, automation and performing code reviews. Design and develop product and protocol validation tests. Build product tools using C, C++, & C#. Test new designs and find solutions to issues. Create test systems for the new products. Implement new vehicle protocols and create test suites to confirm their operation. Interface with customers to collect information on the performance of our products. Other duties as assigned. Skills & Abilities : Customer Focus: Ability to understand and respond to the needs of customers with professionalism and care. Innovation: Ability to generate and apply creative ideas that improve work processes or add value. Collaboration & Teamwork: Ability to build cooperative relationships and contribute to group success. Results Driven: Ability to maintain a strong focus on achieving goals and delivering impactful results. Technical Aptitude: Ability to understand and use specific tools, systems, or technologies relevant to the role. Detail Oriented: Ability to focus on details, ensuring accuracy and precision in work tasks. Analytical Thinking: Ability to examine data and issues logically to draw insightful conclusions. Requirements: Qualifications: Bachelor's Degree in Hardware Engineering or related field; or equivalent experience plus education/training 7+ years' experience in hardware design or development Experience developing products using the ARM family of processors Strong understanding of electronic design for EMC / EMI compliance Strong knowledge of hardware design and components including MPUs, UART, CAN, LIN, A/D, D/A converters, RAM/Flash memories, and other digital electronics Experience with designing processors, power supplies, communication, analog, and digital electronic circuits Strong knowledge and experience of C, C++, and C# programming languages Ability to debug electronic circuits Ability to solder surface mount components onto a PC board Has knowledge about OBD (On Board Diagnostics) Experience with batteries and battery maintenance circuits Familiar with the SAE J2534 specification Some experience with USB, Bluetooth, and Wi-Fi connections Knowledgeable of Automotive diagnostic protocols Familiarity with Jira and Confluence WHAT WE OFFER: Competitive Pay: We know your value and we're not afraid to pay for it. We offer a competitive total compensation plan including salary, bonuses, tuition reimbursement, and a match contribution to your 401k. Time Off: Besides our competitive paid time off package, employees receive paid holidays and floating holidays. Benefits: We offer a comprehensive benefits package, including all the necessities such as medical, dental, and vision. Opportunity: to be a part of a fast-growing company working to make the world safer! We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other characteristic protected by state, federal, or local law. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of the job, the employee is regularly required to use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; talk or hear. The employee frequently is required to stand, walk and sit. The employee is occasionally required to stoop, kneel, crouch or crawl. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and the ability to adjust focus. The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Compensation details: 00 Yearly Salary PI1a60726f76cb-0987
Senior Principal Cloud Architect - AWS & Service Activation-- Hybrid Irving, TX or Charlotte, NC
NTT DATA Services
Req ID: 383115 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Principal Cloud Architect - AWS & Service Activation Hybrid Irving, TX or Charlotte, NC to join our team in Irving, Texas (US-TX), United States (US). Please Note: This hybrid role requires onsite client support 2-3 days weekly in either Irving, TX or Charlotte, NC. Candidates must be located within commuting distance of one of these offices. Applications from candidates outside these areas may not be considered. Position Summary We are seeking a Principal Cloud Engineer to architect design, build, and operate a secure, scalable, and highly automated multi-cloud platform leveraging Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure. As a key technical leader, you will drive the evolution of our multi-cloud engineering, enabling resilient, cloud-native services that support mission-critical enterprise workloads. This role requires deep expertise in cloud architecture, infrastructure as code (IaC), and distributed systems engineering, with a strong focus on Terraform-driven automation and principal engineering standardization. The ideal candidate brings strong Kubernetes, IAM, networking, and policy management experience, along with a disciplined approach to security, reliability, and cost optimization. Key Responsibilities: Principal Engineering, Design & Architecture Architect, engineer, and implement scalable, secure, and resilient cloud solutions across GCP and AWS, with Azure as a plus. Engineer multi-region, highly available architectures aligned with enterprise standards and best practices. Infrastructure Automation & IaC Lead engineering, adoption, and development of Terraform-based infrastructure as code, ensuring consistency, compliance, and reusability. Build and maintain modular Terraform frameworks for provisioning cloud infrastructure. Integrate IaC into CI/CD pipelines to enable fully automated provisioning and deployment workflows. Containerization & Kubernetes Platforms Direct knowledge and engineering leveraging Kubernetes platforms (EKS, GKE) and associated ecosystems. Implementation of container orchestration best practices including scaling, observability, and security. Identity, Access & Security Governance Experienced working knowledge architecting and designing robust IAM strategies across GCP and AWS including least-privilege access models. Implement policy frameworks for access control, resource governance, and regulatory compliance. Networking & Connectivity Direct knowledge and experience architecting, designing, and engineering cloud networking solutions including VPC/VNet design, routing, peering, VPNs, and private connectivity. Ensure secure, high-performance connectivity between cloud environments and on-premises systems. Policy Management & Governance Deep understanding of policy management, policy-as-code frameworks to ensure consistent governance of resources, tagging strategies, and compliance controls. Collaboration with governance, policy, and security teams to ensure cloud environments meet enterprise and regulatory standards. Modernization & Mentorship Champion cloud-native and principal engineering engineering best practices across the organization. Drive the evolution of principal engineering practice by incorporating infrastructure-as-code (IaC) principles. Mentor junior engineers and provide technical leadership for complex cloud initiatives. Serve as an escalation point for critical cloud infrastructure and principal engineering issues. Ideal experience to have for this role: Cloud Platforms & Architecture Extensive firsthand experience with AWS and GCP in large-scale enterprise environments. Strong expertise in cloud architecture, including high availability, disaster recovery, and multi-region design. Deep understanding of cloud-native services and distributed systems principles. AWSControl tower and landing Zones. Infrastructure as Code & Automation Advanced proficiency in Terraform for infrastructure provisioning and lifecycle management. Experience designing reusable modules and managing Terraform state at scale. Familiarity with CI/CD tooling and Git-based workflows. Kubernetes & Container Platforms Strong experience with Kubernetes (EKS, GKE) and container ecosystems. Knowledge of Helm, service meshes, and container security best practices. Identity & Access Management (IAM) Deep understanding of IAM concepts in AWS and GCP, including roles, policies, and federation. Experience implementing RBAC and least-privilege access models at scale. Networking & Core Infrastructure Strong knowledge of cloud networking concepts: VPCs, subnets, routing, load balancing, DNS, and hybrid connectivity. Experience designing secure network architectures across multi-cloud and hybrid environments. Policy Management & Governance Direct experience with policy enforcement frameworks and governance models in AWS and GCP. Familiarity with policy-as-code tools and compliance automation practices. Required Qualifications: 8+ years of experience in cloud infrastructure, principal engineering, and/or cloud architecture roles. Hands-on expertise with AWS and GCP in enterprise environments, including high availability, disaster recovery, and multi-region architectures. Strong experience with Terraform, Infrastructure as Code (IaC), reusable modules, and automated CI/CD deployments. Proven experience designing and supporting Kubernetes platforms (EKS, GKE) and containerized environments. Deep knowledge of IAM, RBAC, least-privilege access models, and cloud security best practices. Strong understanding of cloud networking, including VPCs, routing, load balancing, DNS, VPNs, and hybrid connectivity. Experience implementing cloud governance, policy enforcement, compliance controls, and policy-as-code frameworks. Experience with AWS Control Tower and Landing Zone architectures. Highly Preferred Qualifications: 8-10+ years of experience engineering infrastructure in multi-cloud environments. Experience with cloud-native technologies and container platforms such as Kubernetes, Red Hat OpenShift, EKS, and GKE. Experience operating in highly regulated environments with knowledge of data privacy, compliance frameworks, and disaster recovery. Experience with principal engineering engineering, Internal Developer Platforms (IDPs), and self-service cloud models. Knowledge of FinOps practices and cloud cost optimization strategies. Experience with Azure and enterprise multi-cloud architectures. Familiarity with Helm, service meshes, and container security best practices. Relevant certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, CKA, or CKAD. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. For candidates in either of these locations, the starting pay range is $150,450k - $200k. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries . click apply for full job details
09/23/2026
Full time
Req ID: 383115 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Principal Cloud Architect - AWS & Service Activation Hybrid Irving, TX or Charlotte, NC to join our team in Irving, Texas (US-TX), United States (US). Please Note: This hybrid role requires onsite client support 2-3 days weekly in either Irving, TX or Charlotte, NC. Candidates must be located within commuting distance of one of these offices. Applications from candidates outside these areas may not be considered. Position Summary We are seeking a Principal Cloud Engineer to architect design, build, and operate a secure, scalable, and highly automated multi-cloud platform leveraging Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure. As a key technical leader, you will drive the evolution of our multi-cloud engineering, enabling resilient, cloud-native services that support mission-critical enterprise workloads. This role requires deep expertise in cloud architecture, infrastructure as code (IaC), and distributed systems engineering, with a strong focus on Terraform-driven automation and principal engineering standardization. The ideal candidate brings strong Kubernetes, IAM, networking, and policy management experience, along with a disciplined approach to security, reliability, and cost optimization. Key Responsibilities: Principal Engineering, Design & Architecture Architect, engineer, and implement scalable, secure, and resilient cloud solutions across GCP and AWS, with Azure as a plus. Engineer multi-region, highly available architectures aligned with enterprise standards and best practices. Infrastructure Automation & IaC Lead engineering, adoption, and development of Terraform-based infrastructure as code, ensuring consistency, compliance, and reusability. Build and maintain modular Terraform frameworks for provisioning cloud infrastructure. Integrate IaC into CI/CD pipelines to enable fully automated provisioning and deployment workflows. Containerization & Kubernetes Platforms Direct knowledge and engineering leveraging Kubernetes platforms (EKS, GKE) and associated ecosystems. Implementation of container orchestration best practices including scaling, observability, and security. Identity, Access & Security Governance Experienced working knowledge architecting and designing robust IAM strategies across GCP and AWS including least-privilege access models. Implement policy frameworks for access control, resource governance, and regulatory compliance. Networking & Connectivity Direct knowledge and experience architecting, designing, and engineering cloud networking solutions including VPC/VNet design, routing, peering, VPNs, and private connectivity. Ensure secure, high-performance connectivity between cloud environments and on-premises systems. Policy Management & Governance Deep understanding of policy management, policy-as-code frameworks to ensure consistent governance of resources, tagging strategies, and compliance controls. Collaboration with governance, policy, and security teams to ensure cloud environments meet enterprise and regulatory standards. Modernization & Mentorship Champion cloud-native and principal engineering engineering best practices across the organization. Drive the evolution of principal engineering practice by incorporating infrastructure-as-code (IaC) principles. Mentor junior engineers and provide technical leadership for complex cloud initiatives. Serve as an escalation point for critical cloud infrastructure and principal engineering issues. Ideal experience to have for this role: Cloud Platforms & Architecture Extensive firsthand experience with AWS and GCP in large-scale enterprise environments. Strong expertise in cloud architecture, including high availability, disaster recovery, and multi-region design. Deep understanding of cloud-native services and distributed systems principles. AWSControl tower and landing Zones. Infrastructure as Code & Automation Advanced proficiency in Terraform for infrastructure provisioning and lifecycle management. Experience designing reusable modules and managing Terraform state at scale. Familiarity with CI/CD tooling and Git-based workflows. Kubernetes & Container Platforms Strong experience with Kubernetes (EKS, GKE) and container ecosystems. Knowledge of Helm, service meshes, and container security best practices. Identity & Access Management (IAM) Deep understanding of IAM concepts in AWS and GCP, including roles, policies, and federation. Experience implementing RBAC and least-privilege access models at scale. Networking & Core Infrastructure Strong knowledge of cloud networking concepts: VPCs, subnets, routing, load balancing, DNS, and hybrid connectivity. Experience designing secure network architectures across multi-cloud and hybrid environments. Policy Management & Governance Direct experience with policy enforcement frameworks and governance models in AWS and GCP. Familiarity with policy-as-code tools and compliance automation practices. Required Qualifications: 8+ years of experience in cloud infrastructure, principal engineering, and/or cloud architecture roles. Hands-on expertise with AWS and GCP in enterprise environments, including high availability, disaster recovery, and multi-region architectures. Strong experience with Terraform, Infrastructure as Code (IaC), reusable modules, and automated CI/CD deployments. Proven experience designing and supporting Kubernetes platforms (EKS, GKE) and containerized environments. Deep knowledge of IAM, RBAC, least-privilege access models, and cloud security best practices. Strong understanding of cloud networking, including VPCs, routing, load balancing, DNS, VPNs, and hybrid connectivity. Experience implementing cloud governance, policy enforcement, compliance controls, and policy-as-code frameworks. Experience with AWS Control Tower and Landing Zone architectures. Highly Preferred Qualifications: 8-10+ years of experience engineering infrastructure in multi-cloud environments. Experience with cloud-native technologies and container platforms such as Kubernetes, Red Hat OpenShift, EKS, and GKE. Experience operating in highly regulated environments with knowledge of data privacy, compliance frameworks, and disaster recovery. Experience with principal engineering engineering, Internal Developer Platforms (IDPs), and self-service cloud models. Knowledge of FinOps practices and cloud cost optimization strategies. Experience with Azure and enterprise multi-cloud architectures. Familiarity with Helm, service meshes, and container security best practices. Relevant certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, CKA, or CKAD. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. For candidates in either of these locations, the starting pay range is $150,450k - $200k. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries . click apply for full job details
Senior Oracle EPM Financial Consolidation and Close (FCCS) Production Support Specialist (REMOTE)
NTT DATA Services Remote, Oregon
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Oracle EPM Financial Consolidation and Close (FCCS) Production Support Specialist (REMOTE) to join our team! This is a fully remote role and can be based anywhere in the US. We are seeking an experienced Oracle EDMCS professional to lead the implementation, maintenance, and governance of enterprise metadata and master data management solutions. You will ensure that hierarchies, dimensions, and reference data remain accurate, synchronized, and well-controlled across Oracle EPM, ERP, and downstream third-party applications. This role partners with Finance, Accounting, and IT stakeholders to support, enhance, and optimize existing financial systems and integrations. Job Responsibilities Include: Provide day-to-day functional and technical support for Oracle Financial Consolidation and Close (FCCS), including metadata management, consolidation rules, workflows, and process monitoring. Configure core EDMCS components including Node Types, Node Sets, Viewpoints, Hierarchies, and Property Definitions Design scalable organizational data structures for the Chart of Accounts (COA), Cost Centers, Departments, Legal Entities, and Product Hierarchies Set up integrations and data synchronization between EDMCS and Oracle Cloud applications (such as FCCS, Planning/Freeform, and ERP Cloud) Maintain and enhance ERP, EPM , Custom applications scenarios, entities, accounts, and intercompany structures. Define and manage metadata approval workflows, request interfaces, and change control mechanisms. Establish business validation rules, derivations, and subscriptions to automate and control data changes. Maintain system security, access controls, and granular role assignments Troubleshoot consolidation issues, data discrepancies, and financial reporting variances across source systems. Manage system operations related to the close process, including running consolidations, translations, calculations, and validations. Collaborate with IT, data engineering, and application owners during integration projects, upgrades, and system migrations. Serve as a subject matter expert (SME) on EDMCS functionality and work with stakeholder for any BAU changes Ensure reporting aligns with corporate accounting policies, financial structures, and audit requirements. Provide user training, guidance, and support for change request submission and hierarchy management. Document issues, enhancements, and process changes following ITIL standards (ServiceNow or similar). Support internal and external audit activities through documentation, controls, and system evidence. Recommend technology and process improvements that enhance financial operations efficiency. Work with cross functional teams to automate manual financial workflows using the appropriate tools. Identify opportunities to optimize metadata structures, automation, and data governance workflows. Basic Qualifications: 5-8+ years of experience in Oracle EPM/ERP, with hands-on expertise specifically in Oracle EDMCS. 5+ years of experience supporting Oracle FCCS and/or Hyperion Financial Management. 3-5 years of experience with data exchange/FDMEE/FDM data integrations. 3-5 years of strong understanding of financial accounting, consolidations, intercompany eliminations, FX translation, and period-close processes. + 5 years of experience with Oracle Cloud Narrative Reporting/Reports and/or Financial Reporting Studio Web +5 years of experience with Oracle Smart View (creating new reports, supporting ad hoc, break fix, etc.) 5+ years of Experience managing hierarchies, dimensions, and metadata governance processes. 5+ years of Hands-on experience configuring integrations, exports/imports, and connections to source/target systems. Preferred Skills: Strong knowledge of automation using Oracle EPMAutomate. Strong analytical, documentation, and problem solving skills. Highly organized and detail oriented. Strong communicator able to partner effectively with Finance, IT, and business stakeholders. Adaptable and proactive, with a continuous improvement mindset. Comfortable managing multiple priorities in a dynamic environment. Experience with Oracle ERP Cloud, data warehouses, OCI, Oracle API Gateway. Basic understanding on Oracle ARCS, ,FreeForm, TRCS products knowledge. Experience in the Banking sector is preferred. Ability to write Groovy rules, REST API calls, or SQL is preferred. Oracle EPM Cloud EDMCS certification is preferred. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $123,210 - $205,350 per annum. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
09/23/2026
Full time
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Oracle EPM Financial Consolidation and Close (FCCS) Production Support Specialist (REMOTE) to join our team! This is a fully remote role and can be based anywhere in the US. We are seeking an experienced Oracle EDMCS professional to lead the implementation, maintenance, and governance of enterprise metadata and master data management solutions. You will ensure that hierarchies, dimensions, and reference data remain accurate, synchronized, and well-controlled across Oracle EPM, ERP, and downstream third-party applications. This role partners with Finance, Accounting, and IT stakeholders to support, enhance, and optimize existing financial systems and integrations. Job Responsibilities Include: Provide day-to-day functional and technical support for Oracle Financial Consolidation and Close (FCCS), including metadata management, consolidation rules, workflows, and process monitoring. Configure core EDMCS components including Node Types, Node Sets, Viewpoints, Hierarchies, and Property Definitions Design scalable organizational data structures for the Chart of Accounts (COA), Cost Centers, Departments, Legal Entities, and Product Hierarchies Set up integrations and data synchronization between EDMCS and Oracle Cloud applications (such as FCCS, Planning/Freeform, and ERP Cloud) Maintain and enhance ERP, EPM , Custom applications scenarios, entities, accounts, and intercompany structures. Define and manage metadata approval workflows, request interfaces, and change control mechanisms. Establish business validation rules, derivations, and subscriptions to automate and control data changes. Maintain system security, access controls, and granular role assignments Troubleshoot consolidation issues, data discrepancies, and financial reporting variances across source systems. Manage system operations related to the close process, including running consolidations, translations, calculations, and validations. Collaborate with IT, data engineering, and application owners during integration projects, upgrades, and system migrations. Serve as a subject matter expert (SME) on EDMCS functionality and work with stakeholder for any BAU changes Ensure reporting aligns with corporate accounting policies, financial structures, and audit requirements. Provide user training, guidance, and support for change request submission and hierarchy management. Document issues, enhancements, and process changes following ITIL standards (ServiceNow or similar). Support internal and external audit activities through documentation, controls, and system evidence. Recommend technology and process improvements that enhance financial operations efficiency. Work with cross functional teams to automate manual financial workflows using the appropriate tools. Identify opportunities to optimize metadata structures, automation, and data governance workflows. Basic Qualifications: 5-8+ years of experience in Oracle EPM/ERP, with hands-on expertise specifically in Oracle EDMCS. 5+ years of experience supporting Oracle FCCS and/or Hyperion Financial Management. 3-5 years of experience with data exchange/FDMEE/FDM data integrations. 3-5 years of strong understanding of financial accounting, consolidations, intercompany eliminations, FX translation, and period-close processes. + 5 years of experience with Oracle Cloud Narrative Reporting/Reports and/or Financial Reporting Studio Web +5 years of experience with Oracle Smart View (creating new reports, supporting ad hoc, break fix, etc.) 5+ years of Experience managing hierarchies, dimensions, and metadata governance processes. 5+ years of Hands-on experience configuring integrations, exports/imports, and connections to source/target systems. Preferred Skills: Strong knowledge of automation using Oracle EPMAutomate. Strong analytical, documentation, and problem solving skills. Highly organized and detail oriented. Strong communicator able to partner effectively with Finance, IT, and business stakeholders. Adaptable and proactive, with a continuous improvement mindset. Comfortable managing multiple priorities in a dynamic environment. Experience with Oracle ERP Cloud, data warehouses, OCI, Oracle API Gateway. Basic understanding on Oracle ARCS, ,FreeForm, TRCS products knowledge. Experience in the Banking sector is preferred. Ability to write Groovy rules, REST API calls, or SQL is preferred. Oracle EPM Cloud EDMCS certification is preferred. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $123,210 - $205,350 per annum. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Security Operations Lead (SecOps)
Sword Remote, Oregon
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As Security Operations Lead, you'll lead our SecOps squad and own how Sword detects, investigates, and responds to threats. You'll help structure how this function operates - setting the direction on SIEM architecture, detection engineering, and incident response - and use automation and AI to scale a focused team across a fast-growing, multi-continent footprint. You'll be a core voice in our security strategy, and the systems, processes, and culture you build will set the bar for how Sword protects 700,000+ members. To get to know more about our Tech Stack, check here. What you'll be doing Serve as the hands-on technical lead for Sword's Security Operations Center. Setting the technical direction - architecting the SIEM, engineering detection logic, executing incident response, and building the technical roadmap to scale our defenses as the company grows. Own the SIEM end-to-end (architecture, data sources, normalization, retention, cost, and tuning) and evolve detection-as-code content aligned to MITRE ATT&CK and Sword's threat model. Lead the SOC/CSIRT team technically - mentoring detection and response engineers, raising the bar on investigations, running on-call and escalation models, and acting as commander for major incidents. Set the strategy and technical direction for Sword's Security Operations Center - defining the operating model, SIEM and detection architecture, incident response capability, and the roadmap to scale them as the company grows. Drive an AI- and automation-first transformation of security operations: design SOAR playbooks, agentic and LLM-assisted triage workflows, and ML-driven detection to reduce MTTD/MTTR, expand coverage, and let a lean team operate at enterprise scale. Lead high-severity incident response from detection through containment, eradication, recovery, and post-incident review, partnering with engineering, IT, legal, and executive stakeholders during critical events. Run the threat intelligence and threat hunting programs, converting emerging TTPs into new detections, proactive hardening, and informed risk decisions. Advanced Incident Response & Threat Hunting: Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Define and report on SOC performance - MTTD, MTTR, coverage, automation rate, false-positive rate, on-call health - and use those metrics to drive measurable, continuous improvement. Influence security architecture and engineering decisions across the company, ensuring detection, response, and recovery are built into new products, platforms, and infrastructure from day one. Detection & Automation Leadership: Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. 7+ years experience in Security Operations Proven experience scaling a SOC through automation and AI - SOAR, hyperautomation, LLM-assisted triage, agentic workflows, or ML-driven detection - with measurable impact on MTTR, coverage, or analyst leverage. Hands-on experience structuring a SOC, either building one from the ground up or maturing one through significant transformation - SIEM selection, implementation or migration, detection engineering practice, runbook libraries, on-call rotations, and operating metrics. Deep SIEM expertise (Splunk, Sentinel, Google SecOps/Chronicle, Elastic, or similar) - ingestion architecture, detection-as-code, query optimization, and coverage-versus-cost tradeoffs. Highly preferred: Google SecOps/Chronicle Prior experience as the technical lead of a SOC or CSIRT team - owning the full incident response lifecycle, mentoring analysts and engineers, and acting as on-call/incident commander during major incidents. Strong incident response track record - leading high-severity investigations, root cause analysis, digital forensics, and post-incident reviews that produced durable improvements. Solid experience in cloud environments (AWS and/or GCP), with strong understanding of cloud-native threats and controls. Strong scripting and development skills (Python, Go, Bash, or similar) for building automation, integrations, and internal tooling. Working knowledge of EDR/XDR, identity, and network detection telemetry, and how to combine signals into high-fidelity detections. Fluency with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001) and the judgment to apply them pragmatically. Background in threat modeling, adversary emulation, and risk-based alert tuning. Excellent communicator - able to brief executives during a Sev1, write a clear post-mortem, and translate technical risk into business language for non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations and fostering collaboration across InfoSec, IT, and engineering. Forensics experience, investigating incidents and preserving digital evidence. Public Trust Clearance Candidates must be able to obtain and maintain a US public trust clearance. Please note that US citizenship is required to obtain and maintain a government security clearance. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,978-$210,537 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
09/23/2026
Full time
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As Security Operations Lead, you'll lead our SecOps squad and own how Sword detects, investigates, and responds to threats. You'll help structure how this function operates - setting the direction on SIEM architecture, detection engineering, and incident response - and use automation and AI to scale a focused team across a fast-growing, multi-continent footprint. You'll be a core voice in our security strategy, and the systems, processes, and culture you build will set the bar for how Sword protects 700,000+ members. To get to know more about our Tech Stack, check here. What you'll be doing Serve as the hands-on technical lead for Sword's Security Operations Center. Setting the technical direction - architecting the SIEM, engineering detection logic, executing incident response, and building the technical roadmap to scale our defenses as the company grows. Own the SIEM end-to-end (architecture, data sources, normalization, retention, cost, and tuning) and evolve detection-as-code content aligned to MITRE ATT&CK and Sword's threat model. Lead the SOC/CSIRT team technically - mentoring detection and response engineers, raising the bar on investigations, running on-call and escalation models, and acting as commander for major incidents. Set the strategy and technical direction for Sword's Security Operations Center - defining the operating model, SIEM and detection architecture, incident response capability, and the roadmap to scale them as the company grows. Drive an AI- and automation-first transformation of security operations: design SOAR playbooks, agentic and LLM-assisted triage workflows, and ML-driven detection to reduce MTTD/MTTR, expand coverage, and let a lean team operate at enterprise scale. Lead high-severity incident response from detection through containment, eradication, recovery, and post-incident review, partnering with engineering, IT, legal, and executive stakeholders during critical events. Run the threat intelligence and threat hunting programs, converting emerging TTPs into new detections, proactive hardening, and informed risk decisions. Advanced Incident Response & Threat Hunting: Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Define and report on SOC performance - MTTD, MTTR, coverage, automation rate, false-positive rate, on-call health - and use those metrics to drive measurable, continuous improvement. Influence security architecture and engineering decisions across the company, ensuring detection, response, and recovery are built into new products, platforms, and infrastructure from day one. Detection & Automation Leadership: Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. 7+ years experience in Security Operations Proven experience scaling a SOC through automation and AI - SOAR, hyperautomation, LLM-assisted triage, agentic workflows, or ML-driven detection - with measurable impact on MTTR, coverage, or analyst leverage. Hands-on experience structuring a SOC, either building one from the ground up or maturing one through significant transformation - SIEM selection, implementation or migration, detection engineering practice, runbook libraries, on-call rotations, and operating metrics. Deep SIEM expertise (Splunk, Sentinel, Google SecOps/Chronicle, Elastic, or similar) - ingestion architecture, detection-as-code, query optimization, and coverage-versus-cost tradeoffs. Highly preferred: Google SecOps/Chronicle Prior experience as the technical lead of a SOC or CSIRT team - owning the full incident response lifecycle, mentoring analysts and engineers, and acting as on-call/incident commander during major incidents. Strong incident response track record - leading high-severity investigations, root cause analysis, digital forensics, and post-incident reviews that produced durable improvements. Solid experience in cloud environments (AWS and/or GCP), with strong understanding of cloud-native threats and controls. Strong scripting and development skills (Python, Go, Bash, or similar) for building automation, integrations, and internal tooling. Working knowledge of EDR/XDR, identity, and network detection telemetry, and how to combine signals into high-fidelity detections. Fluency with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001) and the judgment to apply them pragmatically. Background in threat modeling, adversary emulation, and risk-based alert tuning. Excellent communicator - able to brief executives during a Sev1, write a clear post-mortem, and translate technical risk into business language for non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations and fostering collaboration across InfoSec, IT, and engineering. Forensics experience, investigating incidents and preserving digital evidence. Public Trust Clearance Candidates must be able to obtain and maintain a US public trust clearance. Please note that US citizenship is required to obtain and maintain a government security clearance. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,978-$210,537 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
Senior Security Operations Engineer
Sword Remote, Oregon
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As a Senior Security Engineer (Security Operations) at Sword, you will be at the forefront of safeguarding our cloud infrastructure and applications. Your expertise will ensure robust security measures, incident response, and continuous improvement. Are you looking to join an incredible IT team, passionate about simplifying everyone's work? Look no further, we're hiring! We're a proactive team, constantly staying ahead to ensure everything runs smoothly. As an IT Team we understand the importance of technology in today's workplace and the impact that technical issues can have on productivity and efficiency. Want to join the team? Find out if you've got what it takes! To get to know more about our Tech Stack, check here. What you'll be doing Design and continuously improve detection and alerting controls, ensuring high fidelity and contextual relevance to reduce noise and enable rapid response. Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. Drive prioritization of alerts using a data-driven, scalable triage framework, aligned with business impact and threat context. Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Proactively engage in threat intelligence and threat hunting, identifying new tactics, techniques, and procedures (TTPs), enriching existing controls, and feeding insights into the detection pipeline. Own incident handling from detection to resolution, collaborating with engineering, IT, and business teams to contain, eradicate, and recover from threats. Define and maintain operational metrics for incident response, using them to drive continuous improvement in speed, accuracy, and organizational readiness. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. Solid experience in cloud environments (AWS, GCP, or Azure), with strong understanding of cloud-native threats. Proficiency in scripting languages (e.g., Python, Bash) for automation and tooling development. Hands-on experience with SOC tools and platforms, such as SIEM (Splunk, Sentinel, Google SecOps/Chronicle, etc.), SOAR, EDR/XDR, and log management. Highly Preferred: Google SecOps/Chronicle Strong understanding of incident containment and eradication strategies, with proven ability to coordinate response with technical teams. Familiarity with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001). Excellent analytical, critical thinking, and problem-solving skills. Ability to consume and synthesize intelligence about actors, techniques or situations to identify emerging risk scenarios. Proficiency in process formulation and improvement. Background in threat modeling, adversary emulation, and risk-based alert tuning. Strong communicator with the ability to explain security risks and actions to both technical and non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations. Ability to foster collaboration across InfoSec, IT, and engineering teams. Forensics experience, investigating incidents and preserving digital evidence. Leverage AI to automate and optimize security operations workflows, including alert triage, enrichment, and incident classification. Design and maintain AI-assisted runbooks, ensuring consistency, auditability, and human-in-the-loop validation for critical decisions. Identify opportunities to improve SOC efficiency through AI-driven automation, while maintaining strong controls and avoiding over-reliance on unverified outputs. Integrate security tooling with AI platforms and APIs to streamline investigation, response, and reporting processes. Enhance vulnerability management and incident response workflows through intelligent prioritization, correlation, and contextualization of findings. Continuously evaluate the accuracy, reliability, and security implications of AI-assisted decisions in operational environments. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,000-$209,000 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
09/23/2026
Full time
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As a Senior Security Engineer (Security Operations) at Sword, you will be at the forefront of safeguarding our cloud infrastructure and applications. Your expertise will ensure robust security measures, incident response, and continuous improvement. Are you looking to join an incredible IT team, passionate about simplifying everyone's work? Look no further, we're hiring! We're a proactive team, constantly staying ahead to ensure everything runs smoothly. As an IT Team we understand the importance of technology in today's workplace and the impact that technical issues can have on productivity and efficiency. Want to join the team? Find out if you've got what it takes! To get to know more about our Tech Stack, check here. What you'll be doing Design and continuously improve detection and alerting controls, ensuring high fidelity and contextual relevance to reduce noise and enable rapid response. Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. Drive prioritization of alerts using a data-driven, scalable triage framework, aligned with business impact and threat context. Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Proactively engage in threat intelligence and threat hunting, identifying new tactics, techniques, and procedures (TTPs), enriching existing controls, and feeding insights into the detection pipeline. Own incident handling from detection to resolution, collaborating with engineering, IT, and business teams to contain, eradicate, and recover from threats. Define and maintain operational metrics for incident response, using them to drive continuous improvement in speed, accuracy, and organizational readiness. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. Solid experience in cloud environments (AWS, GCP, or Azure), with strong understanding of cloud-native threats. Proficiency in scripting languages (e.g., Python, Bash) for automation and tooling development. Hands-on experience with SOC tools and platforms, such as SIEM (Splunk, Sentinel, Google SecOps/Chronicle, etc.), SOAR, EDR/XDR, and log management. Highly Preferred: Google SecOps/Chronicle Strong understanding of incident containment and eradication strategies, with proven ability to coordinate response with technical teams. Familiarity with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001). Excellent analytical, critical thinking, and problem-solving skills. Ability to consume and synthesize intelligence about actors, techniques or situations to identify emerging risk scenarios. Proficiency in process formulation and improvement. Background in threat modeling, adversary emulation, and risk-based alert tuning. Strong communicator with the ability to explain security risks and actions to both technical and non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations. Ability to foster collaboration across InfoSec, IT, and engineering teams. Forensics experience, investigating incidents and preserving digital evidence. Leverage AI to automate and optimize security operations workflows, including alert triage, enrichment, and incident classification. Design and maintain AI-assisted runbooks, ensuring consistency, auditability, and human-in-the-loop validation for critical decisions. Identify opportunities to improve SOC efficiency through AI-driven automation, while maintaining strong controls and avoiding over-reliance on unverified outputs. Integrate security tooling with AI platforms and APIs to streamline investigation, response, and reporting processes. Enhance vulnerability management and incident response workflows through intelligent prioritization, correlation, and contextualization of findings. Continuously evaluate the accuracy, reliability, and security implications of AI-assisted decisions in operational environments. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,000-$209,000 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
CapGemini
Practicing Enterprise Architect
CapGemini Remote, Oregon
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location : This is a remote role based in Atlanta, GA. Your Role Advise customers on best practices in design and implementation of secure cloud systems Perform reviews of multiple cloud platforms and services to assess cyber risks around security risks such as data leakage and unauthorized access, and design controls to mitigate those risks Design, develop, and implement security requirements into cloud-native architectures that will allow business requirements to be met with appropriate security controls present Design and develop cloud-specific security policies, standards, and procedures Provide technical design and architecture advice to customer teams on how to securely develop and build cloud-ready applications Effectively articulate complex cloud topics and discuss business impacts with senior customers, positively influencing outcomes Develop high-quality technical content such as security automation tools, reference security architectures, and white papers to help our consultants, partners, and customers build on the work you deliver Your Skills And Experience 5+ years of experience in Cloud Security Architecture and/or Engineering 5+ years of experience in professional services consultancy, commercial cyber security, information security or related industries. Deep understanding of different cloud architecture models, hosting and deployment models In-depth knowledge of the security and compliance capabilities of AWS cloud platform. Experience working on integrating cloud services with common and industry standard cloud-native/cloud-friendly security mechanisms (protect, detect, breach response, and recovery) Broad awareness of security engineering concepts and practices across all phases of the system development lifecycle Experience with securing containerized technologies (examples - Docker, Kubernetes, etc.) Deep technical knowledge of cyber security risks, threats, and defenses to effectively assess the security implications and requirements for the introduction of new cloud technologies Previous exposure to hybrid IT situations, including combining on-premise IT capabilities with Cloud IT capabilities The ability to communicate effectively to diverse audiences and properly translate security and risk management terminology into business terms for these stakeholders The base compensation range for this role in the posted location is: $70,176- $170,040. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/23/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location : This is a remote role based in Atlanta, GA. Your Role Advise customers on best practices in design and implementation of secure cloud systems Perform reviews of multiple cloud platforms and services to assess cyber risks around security risks such as data leakage and unauthorized access, and design controls to mitigate those risks Design, develop, and implement security requirements into cloud-native architectures that will allow business requirements to be met with appropriate security controls present Design and develop cloud-specific security policies, standards, and procedures Provide technical design and architecture advice to customer teams on how to securely develop and build cloud-ready applications Effectively articulate complex cloud topics and discuss business impacts with senior customers, positively influencing outcomes Develop high-quality technical content such as security automation tools, reference security architectures, and white papers to help our consultants, partners, and customers build on the work you deliver Your Skills And Experience 5+ years of experience in Cloud Security Architecture and/or Engineering 5+ years of experience in professional services consultancy, commercial cyber security, information security or related industries. Deep understanding of different cloud architecture models, hosting and deployment models In-depth knowledge of the security and compliance capabilities of AWS cloud platform. Experience working on integrating cloud services with common and industry standard cloud-native/cloud-friendly security mechanisms (protect, detect, breach response, and recovery) Broad awareness of security engineering concepts and practices across all phases of the system development lifecycle Experience with securing containerized technologies (examples - Docker, Kubernetes, etc.) Deep technical knowledge of cyber security risks, threats, and defenses to effectively assess the security implications and requirements for the introduction of new cloud technologies Previous exposure to hybrid IT situations, including combining on-premise IT capabilities with Cloud IT capabilities The ability to communicate effectively to diverse audiences and properly translate security and risk management terminology into business terms for these stakeholders The base compensation range for this role in the posted location is: $70,176- $170,040. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Lead DataOps / MLOps
Protective Remote, Oregon
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.
09/23/2026
Full time
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.
Lead DataOps / MLOps
Protective
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.
09/23/2026
Full time
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.
Lead DataOps / MLOps
Protective
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.
09/23/2026
Full time
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.
Software Engineer, Vehicle Platforms C++
Waymo Mountain View, California
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering in the Hardware organization is where software meets the physical world. You will work on critical systems that manage autonomous vehicle functions, with teams such as Sensing, Vehicle Integration, Positioning, Motion Control, Fault Management, Onboard Automation and Embedded Simulation. We are looking for strong generalist software engineers to work across a wide array of domains, including embedded, controls, sensor processing, manufacturing calibration, simulation, data analysis, and also building higher-level state machines, interfaces and flows for fault management and automation. You will have a direct & material impact on the ability of Waymo to scale to more vehicles and cities. This role follows a hybrid work schedule and you will report to a Software Engineer. You will: Develop high-quality vertically-integrated C++ software systems (on-vehicle and off-vehicle software) to manage autonomous vehicle functions. Analyze field data (logs) and simulation results. Participate in cross-functional workflows (e.g., requirement reviews, project planning). You have: Degree (BS, MS) in Computer Engineering, Computer Science, or similar or equivalent practical experience. At least 2+ years of professional experience developing production software in modern C++ (i.e., C+, C+, etc.) This role is specifically for C++ and not for C/C++. Experience in at least one of: real-time / embedded systems or complex / distributed systems. We prefer: Experience developing for and troubleshooting complex / distributed systems (e.g., vehicle gateway, backend software). In-depth understanding of microcontroller-based Embedded Systems and associated development and debugging tools. Working experience with safety critical systems / functional safety. Open source projects that demonstrate dedication to crafting high quality C++ software. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering in the Hardware organization is where software meets the physical world. You will work on critical systems that manage autonomous vehicle functions, with teams such as Sensing, Vehicle Integration, Positioning, Motion Control, Fault Management, Onboard Automation and Embedded Simulation. We are looking for strong generalist software engineers to work across a wide array of domains, including embedded, controls, sensor processing, manufacturing calibration, simulation, data analysis, and also building higher-level state machines, interfaces and flows for fault management and automation. You will have a direct & material impact on the ability of Waymo to scale to more vehicles and cities. This role follows a hybrid work schedule and you will report to a Software Engineer. You will: Develop high-quality vertically-integrated C++ software systems (on-vehicle and off-vehicle software) to manage autonomous vehicle functions. Analyze field data (logs) and simulation results. Participate in cross-functional workflows (e.g., requirement reviews, project planning). You have: Degree (BS, MS) in Computer Engineering, Computer Science, or similar or equivalent practical experience. At least 2+ years of professional experience developing production software in modern C++ (i.e., C+, C+, etc.) This role is specifically for C++ and not for C/C++. Experience in at least one of: real-time / embedded systems or complex / distributed systems. We prefer: Experience developing for and troubleshooting complex / distributed systems (e.g., vehicle gateway, backend software). In-depth understanding of microcontroller-based Embedded Systems and associated development and debugging tools. Working experience with safety critical systems / functional safety. Open source projects that demonstrate dedication to crafting high quality C++ software. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD
Staff Software Engineer, Privacy
Waymo Mountain View, California
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. As Waymo prepares to bring the Waymo Driver to European markets, we are seeking a Privacy Engineer to lead the technical architectural design and implementation of our global privacy systems. In this role, you will bridge the gap between legal requirements (GDPR) and technical reality. You will not just "manage" compliance; you will build the actual engines, data pipelines, and anonymization frameworks that allow our autonomous vehicles to operate in strict regulatory environments. You will work closely with Legal, Product, and AI/ML teams to ensure that Privacy by Design is baked into our sensor data ingestion, mapping technologies, and rider experience from day one. You will: Architect for EU Compliance: Design and build data handling systems that satisfy strict GDPR requirements, "Right to be Forgotten" automation, and consent management frameworks for European riders. Sensor Data Anonymization: Develop and optimize computer vision and ML pipelines to automatically detect and blur faces, license plates, and other PII from camera/Lidar data at the edge (on-vehicle) and in the cloud before it enters our training sets. Privacy Infrastructure: Write scalable code (C++/Java/Kotlin) to enforce retention policies, access controls, and data minimization across Waymo's distributed infrastructure. Partner with Waymo's Legal and Policy teams to translate complex regulatory texts (e.g., the EU Data & AI Act) into concrete engineering specifications and system requirements. Threat Modeling: Conduct privacy impact assessments (PIA) and threat modeling for new features, specifically focusing on cross-border data transfer risks and third-party vendor integration. You have: BS degree in Computer Science, or a related technical field, or equivalent practical experience. 8+ years of experience in software engineering with a focus on privacy, security, or data infrastructure. Proficiency in one or more general-purpose programming languages (e.g., Python, C++, Java). Deep understanding of GDPR. Experience working with large-scale data processing frameworks (e.g., Flume, MapReduce, etc ) and cloud infrastructure. We prefer: Prior experience helping a US-based tech company launch products in the European Economic Area (EEA) or UK. Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption. Experience building first-class user facing products. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. As Waymo prepares to bring the Waymo Driver to European markets, we are seeking a Privacy Engineer to lead the technical architectural design and implementation of our global privacy systems. In this role, you will bridge the gap between legal requirements (GDPR) and technical reality. You will not just "manage" compliance; you will build the actual engines, data pipelines, and anonymization frameworks that allow our autonomous vehicles to operate in strict regulatory environments. You will work closely with Legal, Product, and AI/ML teams to ensure that Privacy by Design is baked into our sensor data ingestion, mapping technologies, and rider experience from day one. You will: Architect for EU Compliance: Design and build data handling systems that satisfy strict GDPR requirements, "Right to be Forgotten" automation, and consent management frameworks for European riders. Sensor Data Anonymization: Develop and optimize computer vision and ML pipelines to automatically detect and blur faces, license plates, and other PII from camera/Lidar data at the edge (on-vehicle) and in the cloud before it enters our training sets. Privacy Infrastructure: Write scalable code (C++/Java/Kotlin) to enforce retention policies, access controls, and data minimization across Waymo's distributed infrastructure. Partner with Waymo's Legal and Policy teams to translate complex regulatory texts (e.g., the EU Data & AI Act) into concrete engineering specifications and system requirements. Threat Modeling: Conduct privacy impact assessments (PIA) and threat modeling for new features, specifically focusing on cross-border data transfer risks and third-party vendor integration. You have: BS degree in Computer Science, or a related technical field, or equivalent practical experience. 8+ years of experience in software engineering with a focus on privacy, security, or data infrastructure. Proficiency in one or more general-purpose programming languages (e.g., Python, C++, Java). Deep understanding of GDPR. Experience working with large-scale data processing frameworks (e.g., Flume, MapReduce, etc ) and cloud infrastructure. We prefer: Prior experience helping a US-based tech company launch products in the European Economic Area (EEA) or UK. Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption. Experience building first-class user facing products. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD
Associate Vice President, Senior Staff Engineer, Legal Technology
Ares Management Corporation New York, New York
Over the last 20 years, Ares' success has been driven by our people and our culture. Today, our team is guided by our core values - Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy - and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. Job Description Ares is seeking a Legal Engineering Lead (Associate Vice President) to join Corporate Technology, reporting to the Head of Legal and Compliance Technology. This role will lead engineering delivery, platform health, and ongoing evolution of technology solutions supporting Ares' Legal and related risk and third-party governance workflows-driving scalable, secure, and audit-ready capabilities that improve operational efficiency and control effectiveness. The ideal candidate is a hands-on engineering leader with deep familiarity across Legal/GC processes and related risk workflows, ideally from a large alternative asset manager or similarly complex regulated firm (large law firm experience supporting sophisticated legal operations is also valued). This leader will bring strong technical fundamentals (e.g., SQL and at least one coding language), experience with integrations and data platforms, and the ability to partner closely with business stakeholders and vendors to deliver measurable outcomes. This role requires experience implementing and operating modern legal and risk platforms, including matter management and e-billing (e.g., Simple Legal / Passport / Apperio or similar), Legal Entity Management (e.g., GEMS), Contract Lifecycle Management (CLM) solutions (e.g., Icertis, Ironclad), and third-party risk management (TPRM) and intake tooling (e.g., Zip and comparable platforms). RESPONSIBILITIES: • Lead engineering delivery and operational ownership for the Legal and technology portfolio, ensuring solutions are scalable, resilient, secure, and audit-ready. • Serve as the technical lead for platform strategy, implementation, and support across Legal systems, including matter management/e-billing, legal entity management, CLM, and third-party intake/TPRM tooling. • Partner with Legal, and key stakeholder groups to translate business needs into clear technical requirements, solution designs, delivery plans, and measurable outcomes. • Own end-to-end delivery: discovery, architecture/design, build/configuration, testing/UAT, release, and production support-aligned with SDLC, change management, and operational readiness. • Establish and maintain integration patterns and data flows across core platforms (APIs, batch, middleware), supporting reporting, auditability, and downstream finance/procurement or records-management dependencies. • Drive strong engineering discipline: configuration standards, code quality, peer review, automated testing where applicable, environment management, and release governance. • Ensure embedded controls across workflows: approvals, access management, segregation of duties, evidence capture, and traceability aligned to audit and regulatory expectations. • Lead a small team of technical resources, providing coaching, prioritization, and delivery oversight; foster a culture of accountability and continuous improvement. • Manage vendors/partners as needed: solution selection support, implementation oversight, SLA/service performance, roadmap alignment, and cost management. • Provide transparent, executive-ready reporting on platform health, delivery status, risks/issues, dependencies, and remediation plans QUALIFICATIONS: 5+ years of progressive technology experience, including significant hands-on delivery experience supporting Legal systems and governance platforms in a complex environment. Experience in complex, regulated financial services; alternative asset management experience strongly preferred. Bachelor's degree required; Computer Science/Engineering background preferred. Strong written and verbal communication skills; proven ability to influence and collaborate across senior business and technology stakeholders. Demonstrated people leadership experience (direct management and/or leading teams through delivery and operations). Experience Required Strong engineering fundamentals and hands-on delivery experience, including: SQL (required), data analysis/troubleshooting, and comfort navigating complex process and data flows Experience with at least one general-purpose language (e.g., Python, Java, C#, JavaScript) and common integration approaches (REST APIs, services, batch) Working knowledge of SDLC, testing strategies, release/change management, and production support Experience implementing and supporting Legal and related risk platforms, including one or more of: Matter management / e-billing ecosystems (e.g., SimpleLegal, Passport, Apperio or similar) Legal Entity Management (e.g., GEMS or similar) CLM platforms (e.g., Icertis, Ironclad or similar) Intake and/or TPRM tooling (e.g., Zip and comparable tools) Experience with integrations and data/reporting enablement, including monitoring, data quality, and reconciliation practices. Demonstrated ability to deliver secure, audit-ready solutions with robust traceability, workflow transparency, and evidence retention. Proven ability to lead small teams and deliver results through a mix of direct technical contribution and team oversight. Vendor/SI management experience is a plus. Preferred Qualifications Familiarity applying automation and/or AI-enabled capabilities to legal operations (e.g., document classification, summarization, clause extraction, intake triage), with a strong governance and controls mindset. Experience establishing platform standards and scalable operating models (configuration governance, release discipline, support/runbooks). Strong process mapping and documentation skills (e.g., Lucidchart) to support requirements clarity and stakeholder alignment. General Requirements Ability to thrive in a fast-paced environment, manage competing priorities, and deliver high-quality outcomes. Strong ownership mindset with disciplined execution and attention to detail. Comfortable operating in ambiguity and translating evolving business needs into durable technical solutions. Collaborative, service-oriented approach; able to build credibility with Legal stakeholders and partner effectively across Corporate Technology. Willingness to flex hours as needed to support global stakeholders and production needs. Reporting Relationships Compensation The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role. $180,000 - $220,000 The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit. Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
09/23/2026
Full time
Over the last 20 years, Ares' success has been driven by our people and our culture. Today, our team is guided by our core values - Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy - and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. Job Description Ares is seeking a Legal Engineering Lead (Associate Vice President) to join Corporate Technology, reporting to the Head of Legal and Compliance Technology. This role will lead engineering delivery, platform health, and ongoing evolution of technology solutions supporting Ares' Legal and related risk and third-party governance workflows-driving scalable, secure, and audit-ready capabilities that improve operational efficiency and control effectiveness. The ideal candidate is a hands-on engineering leader with deep familiarity across Legal/GC processes and related risk workflows, ideally from a large alternative asset manager or similarly complex regulated firm (large law firm experience supporting sophisticated legal operations is also valued). This leader will bring strong technical fundamentals (e.g., SQL and at least one coding language), experience with integrations and data platforms, and the ability to partner closely with business stakeholders and vendors to deliver measurable outcomes. This role requires experience implementing and operating modern legal and risk platforms, including matter management and e-billing (e.g., Simple Legal / Passport / Apperio or similar), Legal Entity Management (e.g., GEMS), Contract Lifecycle Management (CLM) solutions (e.g., Icertis, Ironclad), and third-party risk management (TPRM) and intake tooling (e.g., Zip and comparable platforms). RESPONSIBILITIES: • Lead engineering delivery and operational ownership for the Legal and technology portfolio, ensuring solutions are scalable, resilient, secure, and audit-ready. • Serve as the technical lead for platform strategy, implementation, and support across Legal systems, including matter management/e-billing, legal entity management, CLM, and third-party intake/TPRM tooling. • Partner with Legal, and key stakeholder groups to translate business needs into clear technical requirements, solution designs, delivery plans, and measurable outcomes. • Own end-to-end delivery: discovery, architecture/design, build/configuration, testing/UAT, release, and production support-aligned with SDLC, change management, and operational readiness. • Establish and maintain integration patterns and data flows across core platforms (APIs, batch, middleware), supporting reporting, auditability, and downstream finance/procurement or records-management dependencies. • Drive strong engineering discipline: configuration standards, code quality, peer review, automated testing where applicable, environment management, and release governance. • Ensure embedded controls across workflows: approvals, access management, segregation of duties, evidence capture, and traceability aligned to audit and regulatory expectations. • Lead a small team of technical resources, providing coaching, prioritization, and delivery oversight; foster a culture of accountability and continuous improvement. • Manage vendors/partners as needed: solution selection support, implementation oversight, SLA/service performance, roadmap alignment, and cost management. • Provide transparent, executive-ready reporting on platform health, delivery status, risks/issues, dependencies, and remediation plans QUALIFICATIONS: 5+ years of progressive technology experience, including significant hands-on delivery experience supporting Legal systems and governance platforms in a complex environment. Experience in complex, regulated financial services; alternative asset management experience strongly preferred. Bachelor's degree required; Computer Science/Engineering background preferred. Strong written and verbal communication skills; proven ability to influence and collaborate across senior business and technology stakeholders. Demonstrated people leadership experience (direct management and/or leading teams through delivery and operations). Experience Required Strong engineering fundamentals and hands-on delivery experience, including: SQL (required), data analysis/troubleshooting, and comfort navigating complex process and data flows Experience with at least one general-purpose language (e.g., Python, Java, C#, JavaScript) and common integration approaches (REST APIs, services, batch) Working knowledge of SDLC, testing strategies, release/change management, and production support Experience implementing and supporting Legal and related risk platforms, including one or more of: Matter management / e-billing ecosystems (e.g., SimpleLegal, Passport, Apperio or similar) Legal Entity Management (e.g., GEMS or similar) CLM platforms (e.g., Icertis, Ironclad or similar) Intake and/or TPRM tooling (e.g., Zip and comparable tools) Experience with integrations and data/reporting enablement, including monitoring, data quality, and reconciliation practices. Demonstrated ability to deliver secure, audit-ready solutions with robust traceability, workflow transparency, and evidence retention. Proven ability to lead small teams and deliver results through a mix of direct technical contribution and team oversight. Vendor/SI management experience is a plus. Preferred Qualifications Familiarity applying automation and/or AI-enabled capabilities to legal operations (e.g., document classification, summarization, clause extraction, intake triage), with a strong governance and controls mindset. Experience establishing platform standards and scalable operating models (configuration governance, release discipline, support/runbooks). Strong process mapping and documentation skills (e.g., Lucidchart) to support requirements clarity and stakeholder alignment. General Requirements Ability to thrive in a fast-paced environment, manage competing priorities, and deliver high-quality outcomes. Strong ownership mindset with disciplined execution and attention to detail. Comfortable operating in ambiguity and translating evolving business needs into durable technical solutions. Collaborative, service-oriented approach; able to build credibility with Legal stakeholders and partner effectively across Corporate Technology. Willingness to flex hours as needed to support global stakeholders and production needs. Reporting Relationships Compensation The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role. $180,000 - $220,000 The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit. Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
Reliability Test Engineer - Robotics
Johnson & Johnson Innovative Medicine Santa Clara, California
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: R&D Product Development Job Sub Function: R&D Mechanical Engineering Job Category: Scientific/Technology All Job Posting Locations: Santa Clara, California, United States of America Job Description: The Robotics and Digital solutions (RAD) group, part of the Johnson & Johnson family of companies, is recruiting for a Hardware Reliability Test Engineer for the Robotics and Digital R&D Team. This position is located in Santa Clara, CA. What We Do: At Johnson & Johnson MedTech, we are building the future of robotic surgery and healthcare through innovation and technical excellence. Our goal is to develop advanced robotic platforms that are precise, reliable, and accessible. Our team focuses on creating solutions that empower surgeons and improve patient outcomes worldwide. Who We Are: Within RAD R&D we are a team of clinical, electrical, firmware, mechanical, mechatronics, robotic controls, systems and software engineers who are passionate about improving patient care. The team includes a wide range of experience levels from junior engineers to industry experts. We follow an iterative, collaborative approach to product development, working across clinical, instrument, accessories, and system teams. We prioritize autonomy, develop a culture of learning, and value diversity of thought and background. Our environment is inclusive, supportive, and driven by a shared commitment to innovation and excellence in healthcare. Core Job Responsibilities: Translate product reliability requirements and specifications into detailed test protocols and pass/fail criteria. Develop and implement mechanical, thermal, electrical, and environmental loads/stresses (e.g., vibration, shock, thermal cycling, humidity, electrical stress) required by the protocols. Plan and execute Reliability Demonstration Testing, Characterization Testing, and Ongoing Reliability Testing to validate product robustness across development and production lifecycle. Design, build, and validate custom test fixtures and test rigs to enable repeatable, controlled testing. Develop and maintain test automation and scripting for test setup, execution, data logging, and analysis (e.g., Python, LabVIEW, or equivalent). Run hands-on testing, monitor test runs, and ensure data integrity and traceability. Analyze test data, produce summary reports, and present findings to engineering and program teams. Document and report issues discovered during testing; create reproducible problem descriptions, supporting data and test artifacts. Triage issues to the appropriate project teams or Failure Analysis (FA) groups and support root-cause investigations as required. Maintain and calibrate test equipment and laboratory documentation; ensure test safety and compliance with internal standards and external regulations. Collaborate cross-functionally with design, manufacturing, quality, and FA to close reliability issues and feed lessons learned back into the product development cycle. Required Knowledge/Skills, Education, And Experience: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Physics, or related technical field (or equivalent experience). 2+ years of hands-on experience in reliability or test engineering roles (design and execution of reliability tests, fixture design, or test automation). Practical experience with environmental/mechanical test equipment such as vibration tables, shock rigs, thermal chambers, and electrical stress equipment. Experience designing and building test fixtures and custom test rigs. Proficiency in scripting or programming for test automation and data capture (examples: Python, LabVIEW, or similar). Strong data analysis skills; experience with statistical analysis and data visualization (Excel, Python, MATLAB, Minitab, etc.). Clear technical writing skills for protocols, test plans, and test reports. Strong problem-solving skills and attention to detail; ability to prioritize multiple test projects. Preferred Knowledge/Skills, Education, And Experience: Master's degree in relevant engineering field Experience with reliability methods such as HALT/HASS, accelerated life testing (ALT). Familiarity with design for reliability concepts (FMEA, reliability prediction methods). Experience working in regulated industries (medical devices, aerospace, automotive) or with cross-functional FA teams. Experience with test equipment control and data acquisition hardware (DAQs, PXI, NI hardware) Working Conditions: Laboratory/shop environment with regular hands-on work on test fixtures and equipment. May require moderate lifting and use of power tools when building fixtures. Occasional travel to supplier sites, test labs, or failure analysis facilities may be required. The anticipated base pay range for this position is $106,000.00 to $170,200.00 The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k . This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year For additional general information on Company benefits, please go to: Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via . internal employees contact AskGS to be directed to your accommodation resource. Required Skills: Data Analysis, Fixtures Design, Mechanical Testing, Test Automation Preferred Skills: Accelerated Life Testing, Analytical Reasoning, Auto-CAD Design, Design Thinking, FEMA, Highly Accelerated Life Test (HALT), Mechanical Engineering, Problem Solving, Process Oriented, Product Reliability, Quality Control Testing, Reliability Engineering, Reliability Predictions, Reliability Testing, Research and Development The anticipated base pay range for this position is : $106,000.00 - $170,200.00 Additional Description for Pay Transparency:
09/23/2026
Full time
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: R&D Product Development Job Sub Function: R&D Mechanical Engineering Job Category: Scientific/Technology All Job Posting Locations: Santa Clara, California, United States of America Job Description: The Robotics and Digital solutions (RAD) group, part of the Johnson & Johnson family of companies, is recruiting for a Hardware Reliability Test Engineer for the Robotics and Digital R&D Team. This position is located in Santa Clara, CA. What We Do: At Johnson & Johnson MedTech, we are building the future of robotic surgery and healthcare through innovation and technical excellence. Our goal is to develop advanced robotic platforms that are precise, reliable, and accessible. Our team focuses on creating solutions that empower surgeons and improve patient outcomes worldwide. Who We Are: Within RAD R&D we are a team of clinical, electrical, firmware, mechanical, mechatronics, robotic controls, systems and software engineers who are passionate about improving patient care. The team includes a wide range of experience levels from junior engineers to industry experts. We follow an iterative, collaborative approach to product development, working across clinical, instrument, accessories, and system teams. We prioritize autonomy, develop a culture of learning, and value diversity of thought and background. Our environment is inclusive, supportive, and driven by a shared commitment to innovation and excellence in healthcare. Core Job Responsibilities: Translate product reliability requirements and specifications into detailed test protocols and pass/fail criteria. Develop and implement mechanical, thermal, electrical, and environmental loads/stresses (e.g., vibration, shock, thermal cycling, humidity, electrical stress) required by the protocols. Plan and execute Reliability Demonstration Testing, Characterization Testing, and Ongoing Reliability Testing to validate product robustness across development and production lifecycle. Design, build, and validate custom test fixtures and test rigs to enable repeatable, controlled testing. Develop and maintain test automation and scripting for test setup, execution, data logging, and analysis (e.g., Python, LabVIEW, or equivalent). Run hands-on testing, monitor test runs, and ensure data integrity and traceability. Analyze test data, produce summary reports, and present findings to engineering and program teams. Document and report issues discovered during testing; create reproducible problem descriptions, supporting data and test artifacts. Triage issues to the appropriate project teams or Failure Analysis (FA) groups and support root-cause investigations as required. Maintain and calibrate test equipment and laboratory documentation; ensure test safety and compliance with internal standards and external regulations. Collaborate cross-functionally with design, manufacturing, quality, and FA to close reliability issues and feed lessons learned back into the product development cycle. Required Knowledge/Skills, Education, And Experience: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Physics, or related technical field (or equivalent experience). 2+ years of hands-on experience in reliability or test engineering roles (design and execution of reliability tests, fixture design, or test automation). Practical experience with environmental/mechanical test equipment such as vibration tables, shock rigs, thermal chambers, and electrical stress equipment. Experience designing and building test fixtures and custom test rigs. Proficiency in scripting or programming for test automation and data capture (examples: Python, LabVIEW, or similar). Strong data analysis skills; experience with statistical analysis and data visualization (Excel, Python, MATLAB, Minitab, etc.). Clear technical writing skills for protocols, test plans, and test reports. Strong problem-solving skills and attention to detail; ability to prioritize multiple test projects. Preferred Knowledge/Skills, Education, And Experience: Master's degree in relevant engineering field Experience with reliability methods such as HALT/HASS, accelerated life testing (ALT). Familiarity with design for reliability concepts (FMEA, reliability prediction methods). Experience working in regulated industries (medical devices, aerospace, automotive) or with cross-functional FA teams. Experience with test equipment control and data acquisition hardware (DAQs, PXI, NI hardware) Working Conditions: Laboratory/shop environment with regular hands-on work on test fixtures and equipment. May require moderate lifting and use of power tools when building fixtures. Occasional travel to supplier sites, test labs, or failure analysis facilities may be required. The anticipated base pay range for this position is $106,000.00 to $170,200.00 The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k . This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year For additional general information on Company benefits, please go to: Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via . internal employees contact AskGS to be directed to your accommodation resource. Required Skills: Data Analysis, Fixtures Design, Mechanical Testing, Test Automation Preferred Skills: Accelerated Life Testing, Analytical Reasoning, Auto-CAD Design, Design Thinking, FEMA, Highly Accelerated Life Test (HALT), Mechanical Engineering, Problem Solving, Process Oriented, Product Reliability, Quality Control Testing, Reliability Engineering, Reliability Predictions, Reliability Testing, Research and Development The anticipated base pay range for this position is : $106,000.00 - $170,200.00 Additional Description for Pay Transparency:
Senior Infrastructure Security Engineer - CASB and DSPM
Prudential Financial Newark, New Jersey
Job Classification: Technology - Engineering & Cloud Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability, and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions. Your Team & Role We are looking for a motivated Senior Infrastructure Security Engineer to support the design, implementation and operation of data security controls across cloud and SaaS environments. This role focuses on Cloud Access Security Broker (CASB), Data Security Posture Management (DSPM), and Microsoft 365 (O365) security technologies by leveraging Z Scaler or similar products. You will work closely with senior engineers to help protect sensitive data, monitor cloud activity, and support compliance initiatives while building hands-on expertise in modern data security practices. Key Responsibilities CASB Architectural and Design Design and implement enterprise-wide data security solutions leveraging CASB, DSPM, and Microsoft 365 security capabilities preferably with Z Scaler Develop secure architectures for SaaS, IaaS, and PaaS environments with a focus on data visibility and protection. CASB Operations Support Create automated monitoring alerts for CASB tools to identify risky user behavior and potential data exposure. Help create, test, and enforce security policies across cloud applications. DSPM Support Support data discovery and classification efforts across cloud and SaaS environments. Assist in maintaining data classification labels and policies in Microsoft Copilot Help identify data risks such as overexposure or improper access. Microsoft 365 Security Administration Assist in managing Microsoft 365 security and compliance features, including: Sensitivity labels from Microsoft CoPilot Secure sharing policies for SharePoint, OneDrive, and Teams Monitoring & Incident Response Review security alerts and logs related to data access and sharing. Assist in investigating potential data security incidents. Document findings and contribute to incident response activities. Collaboration & Learning Work closely with senior engineers, IT teams, and compliance stakeholders. Participate in knowledge-sharing sessions and training. Stay up to date on cloud security trends and tools. The Skills & Expertise You Bring Required Qualifications Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or related field (or equivalent experience). 2-5 years of hands on experience in CASB, DSPM or cloud technologies, preferably with Z Scaler. Basic understanding of cloud computing and SaaS applications. Familiarity with Microsoft 365 (Exchange Online, SharePoint, OneDrive, Teams). Strong analytical and problem-solving skills. Good written and verbal communication skills. Preferred Qualifications Experience with Z Scaler for CASB, DSPM and DLP functions Experience with Azure / AWS to design the appropriate security controls Experience with Splunk and Entra ID Relevant certifications (e.g., CISSP, CCSP, Microsoft Security certifications). Experience with automation and scripting (PowerShell, Python). Knowledge of API integrations and security orchestration. You'll Love Working Here Because You Can Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we'll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You'll be surprised by what this rock-solid organization has in store for you. What we offer you: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $104,000.00 to $171,600.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Market competitive base salaries, with a yearly bonus potential at every level. Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave. 401(k) plan with company match (up to 4%). Company-funded pension plan. Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs. Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs. Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period). Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. If you need an accommodation to complete the application process, please email . If you are experiencing a technical issue with your application or an assessment, please email to request assistance.
09/23/2026
Full time
Job Classification: Technology - Engineering & Cloud Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability, and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions. Your Team & Role We are looking for a motivated Senior Infrastructure Security Engineer to support the design, implementation and operation of data security controls across cloud and SaaS environments. This role focuses on Cloud Access Security Broker (CASB), Data Security Posture Management (DSPM), and Microsoft 365 (O365) security technologies by leveraging Z Scaler or similar products. You will work closely with senior engineers to help protect sensitive data, monitor cloud activity, and support compliance initiatives while building hands-on expertise in modern data security practices. Key Responsibilities CASB Architectural and Design Design and implement enterprise-wide data security solutions leveraging CASB, DSPM, and Microsoft 365 security capabilities preferably with Z Scaler Develop secure architectures for SaaS, IaaS, and PaaS environments with a focus on data visibility and protection. CASB Operations Support Create automated monitoring alerts for CASB tools to identify risky user behavior and potential data exposure. Help create, test, and enforce security policies across cloud applications. DSPM Support Support data discovery and classification efforts across cloud and SaaS environments. Assist in maintaining data classification labels and policies in Microsoft Copilot Help identify data risks such as overexposure or improper access. Microsoft 365 Security Administration Assist in managing Microsoft 365 security and compliance features, including: Sensitivity labels from Microsoft CoPilot Secure sharing policies for SharePoint, OneDrive, and Teams Monitoring & Incident Response Review security alerts and logs related to data access and sharing. Assist in investigating potential data security incidents. Document findings and contribute to incident response activities. Collaboration & Learning Work closely with senior engineers, IT teams, and compliance stakeholders. Participate in knowledge-sharing sessions and training. Stay up to date on cloud security trends and tools. The Skills & Expertise You Bring Required Qualifications Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or related field (or equivalent experience). 2-5 years of hands on experience in CASB, DSPM or cloud technologies, preferably with Z Scaler. Basic understanding of cloud computing and SaaS applications. Familiarity with Microsoft 365 (Exchange Online, SharePoint, OneDrive, Teams). Strong analytical and problem-solving skills. Good written and verbal communication skills. Preferred Qualifications Experience with Z Scaler for CASB, DSPM and DLP functions Experience with Azure / AWS to design the appropriate security controls Experience with Splunk and Entra ID Relevant certifications (e.g., CISSP, CCSP, Microsoft Security certifications). Experience with automation and scripting (PowerShell, Python). Knowledge of API integrations and security orchestration. You'll Love Working Here Because You Can Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we'll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You'll be surprised by what this rock-solid organization has in store for you. What we offer you: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $104,000.00 to $171,600.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Market competitive base salaries, with a yearly bonus potential at every level. Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave. 401(k) plan with company match (up to 4%). Company-funded pension plan. Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs. Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs. Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period). Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. If you need an accommodation to complete the application process, please email . If you are experiencing a technical issue with your application or an assessment, please email to request assistance.
Lead, Infrastructure Security Engineer - CASB and DSPM
Prudential Financial Newark, New Jersey
Job Classification: Technology - Engineering & Cloud Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability, and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions. Your Team & Role We are seeking a highly skilled Lead Infrastructure Security Engineer with deep expertise in Cloud Access Security Broker (CASB), Data Security Posture Management (DSPM), and Microsoft 365 (O365) data security technologies. This role is responsible for designing, implementing, and maintaining data protection strategies across cloud and SaaS environments by leveraging Z Scaler. Ideal candidate should have a strong focus on safeguarding sensitive data, ensuring regulatory compliance, and mitigating insider and external threats. Here is What You Can Expect on a Typical Day Architecture & Design Design and implement enterprise-wide data security solutions leveraging CASB, DSPM, and Microsoft 365 security capabilities preferably with Z Scaler Develop secure architectures for SaaS, IaaS, and PaaS environments with a focus on data visibility and protection. CASB Management Deploy, configure, and optimize CASB solutions to enforce security policies across cloud applications (introspection, shadow IT discovery) Monitor user activity, detect anomalies, and prevent data exfiltration. Integrate CASB with identity providers (e.g., Entra / Azure AD) and SIEM/SOAR (e.g., Splunk) platforms. DSPM Implementation Lead the implementation and operationalization of DSPM tools to discover, classify, and monitor sensitive data across environments. Establish data classification frameworks and automate data risk assessments. Provide continuous visibility into data exposure, access risks, and compliance gaps. Integrate Microsoft CoPilot and Z Scaler or similar CASB / DSPM products Microsoft 365 Security Administer and enhance Microsoft 365 security controls, including: Sensitivity labels and information protection Insider Risk Management Microsoft Defender for Cloud Apps Secure Exchange Online, SharePoint Online, OneDrive, and Teams environments. Threat Detection & Incident Response Investigate security alerts related to data access, sharing, and exfiltration. Collaborate with SOC and Incident Response teams to remediate threats. Develop detection rules and automated response workflows. Compliance & Governance Ensure alignment with regulatory frameworks (e.g., GDPR, HIPAA, CCPA). Support audits and compliance reporting related to data security controls. Define and enforce data governance policies and standards. The Skills & Expertise You Bring Required Qualifications Bachelor's degree in: Computer Science, Information Security, or a related field (or equivalent experience). 7+ years of experience in cybersecurity, with a strong focus on data security. Hands-on experience with CASB solutions (e.g., Z Scaler, Microsoft Defender for Cloud Apps, etc ). Proven experience implementing and managing DSPM tools and frameworks. Deep expertise in Microsoft 365 security and compliance features. Strong understanding of cloud platforms (Azure/ AWS preferred). Experience with DLP, data classification, encryption, and access controls. Familiarity with SIEM/SOAR tools (e.g., Sentinel, Splunk). Knowledge of identity and access management (IAM), including Zero Trust principles. Preferred Qualifications Experience with Z Scaler for CASB, DSPM and DLP functions Experience with Azure / AWS to design the appropriate security controls Experience with Splunk and Entra ID Relevant certifications (e.g., CISSP, CCSP, Microsoft Security certifications). Experience with automation and scripting (PowerShell, Python). Knowledge of API integrations and security orchestration. Experience in highly regulated industries (finance, healthcare, etc.). You'll Love Working Here Because You Can Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we'll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You'll be surprised by what this rock-solid organization has in store for you. What we offer you: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $133,600.00 to $220,400.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Market competitive base salaries, with a yearly bonus potential at every level. Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave. 401(k) plan with company match (up to 4%). Company-funded pension plan. Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs. Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs. Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period). Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. If you need an accommodation to complete the application process, please email . If you are experiencing a technical issue with your application or an assessment, please email to request assistance.
09/23/2026
Full time
Job Classification: Technology - Engineering & Cloud Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability, and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions. Your Team & Role We are seeking a highly skilled Lead Infrastructure Security Engineer with deep expertise in Cloud Access Security Broker (CASB), Data Security Posture Management (DSPM), and Microsoft 365 (O365) data security technologies. This role is responsible for designing, implementing, and maintaining data protection strategies across cloud and SaaS environments by leveraging Z Scaler. Ideal candidate should have a strong focus on safeguarding sensitive data, ensuring regulatory compliance, and mitigating insider and external threats. Here is What You Can Expect on a Typical Day Architecture & Design Design and implement enterprise-wide data security solutions leveraging CASB, DSPM, and Microsoft 365 security capabilities preferably with Z Scaler Develop secure architectures for SaaS, IaaS, and PaaS environments with a focus on data visibility and protection. CASB Management Deploy, configure, and optimize CASB solutions to enforce security policies across cloud applications (introspection, shadow IT discovery) Monitor user activity, detect anomalies, and prevent data exfiltration. Integrate CASB with identity providers (e.g., Entra / Azure AD) and SIEM/SOAR (e.g., Splunk) platforms. DSPM Implementation Lead the implementation and operationalization of DSPM tools to discover, classify, and monitor sensitive data across environments. Establish data classification frameworks and automate data risk assessments. Provide continuous visibility into data exposure, access risks, and compliance gaps. Integrate Microsoft CoPilot and Z Scaler or similar CASB / DSPM products Microsoft 365 Security Administer and enhance Microsoft 365 security controls, including: Sensitivity labels and information protection Insider Risk Management Microsoft Defender for Cloud Apps Secure Exchange Online, SharePoint Online, OneDrive, and Teams environments. Threat Detection & Incident Response Investigate security alerts related to data access, sharing, and exfiltration. Collaborate with SOC and Incident Response teams to remediate threats. Develop detection rules and automated response workflows. Compliance & Governance Ensure alignment with regulatory frameworks (e.g., GDPR, HIPAA, CCPA). Support audits and compliance reporting related to data security controls. Define and enforce data governance policies and standards. The Skills & Expertise You Bring Required Qualifications Bachelor's degree in: Computer Science, Information Security, or a related field (or equivalent experience). 7+ years of experience in cybersecurity, with a strong focus on data security. Hands-on experience with CASB solutions (e.g., Z Scaler, Microsoft Defender for Cloud Apps, etc ). Proven experience implementing and managing DSPM tools and frameworks. Deep expertise in Microsoft 365 security and compliance features. Strong understanding of cloud platforms (Azure/ AWS preferred). Experience with DLP, data classification, encryption, and access controls. Familiarity with SIEM/SOAR tools (e.g., Sentinel, Splunk). Knowledge of identity and access management (IAM), including Zero Trust principles. Preferred Qualifications Experience with Z Scaler for CASB, DSPM and DLP functions Experience with Azure / AWS to design the appropriate security controls Experience with Splunk and Entra ID Relevant certifications (e.g., CISSP, CCSP, Microsoft Security certifications). Experience with automation and scripting (PowerShell, Python). Knowledge of API integrations and security orchestration. Experience in highly regulated industries (finance, healthcare, etc.). You'll Love Working Here Because You Can Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we'll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You'll be surprised by what this rock-solid organization has in store for you. What we offer you: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $133,600.00 to $220,400.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Market competitive base salaries, with a yearly bonus potential at every level. Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave. 401(k) plan with company match (up to 4%). Company-funded pension plan. Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs. Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs. Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period). Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. If you need an accommodation to complete the application process, please email . If you are experiencing a technical issue with your application or an assessment, please email to request assistance.
Senior Security Engineer
Abnormal Remote, Oregon
About the Role Abnormal AI is hiring a Senior Cloud Security Engineer to build and operate the security systems that protect our FedRAMP authorized environment. You will own secure delivery pipelines, infrastructure as code security, patch automation, identity controls, security telemetry, and incident response across a growing federal platform. You will design and build the capabilities that allow this environment to scale safely. Your work will include creating policy gates for cloud deployments, automating patch and access workflows, strengthening identity controls, improving security telemetry, and generating audit evidence directly from engineering systems. You will have meaningful ownership of both architecture and operational results, with the opportunity to replace repetitive work with reliable automation across the environment. You will work closely with DevInfra, FedOps, Product Security, Detection and Response, and Compliance to solve cloud security problems that cross traditional team boundaries. You will also use approved AI coding tools, such as Claude Code, to accelerate scripting, testing, documentation, and security automation. What you will do Build and improve secure delivery workflows for applications and infrastructure deployed into the federal environment. Create policy gates that evaluate infrastructure changes, security requirements, test results, and required approvals before deployment. Integrate security scanning and control validation into delivery workflows so issues are identified early in the development process. Review infrastructure as code changes that affect the federal boundary and help engineering teams resolve security risks before those changes reach production. Design automation that produces change records, approval history, test results, and required evidence directly from engineering workflows. Build and maintain hardened system image pipelines that consistently apply approved configurations, security controls, and operating system updates. Automate patch deployment across the environment, including testing, scheduling, rollout, validation, exception management, and compliance reporting. Improve fleet visibility so teams can quickly identify systems that are missing patches, running unsupported software, or operating outside approved configurations. Design and enforce identity and access controls across a complex cloud environment. Strengthen cloud security through organization policies, identity controls, resource policies, and automated configuration checks. Build preventive guardrails that block insecure or unauthorized configurations before they enter the federal environment. Own the reliability of security logging and monitoring pipelines, including ingestion coverage, data quality, source health, retention, and alerting. Develop automated checks that identify missing telemetry, delayed events, broken integrations, and other conditions that could reduce security visibility. Tune security detections to improve signal quality, reduce unnecessary alerts, and focus responders on activity that requires investigation. Build response automation that gathers context, enriches alerts, preserves evidence, and accelerates investigation and containment. Lead security incident response for the federal environment, including investigation, containment, recovery, evidence preservation, and after action reporting. Partner with infrastructure, operations, product security, incident response, and compliance teams to solve security problems that cross team boundaries. Must Haves 8+ years in cloud security engineering, DevSecOps, infrastructure security, or a closely related engineering discipline, including deep hands-on experience with AWS. Strong experience building or securing cloud deployment pipelines and infrastructure as code workflows. Proficiency in at least one scripting or programming language, preferably Python, with a record of automating recurring operational work. Working knowledge of identity and access management design and enforcement in large cloud environments. Production experience with security monitoring and incident response, including investigation, containment, recovery, and operational follow through. Nice to Have Experience integrating security automation into CI/CD pipelines and SecOps workflows. Prior experience supporting federal audits or 3PAO engagements. Knowledge of SaaS security operations and monitoring at scale. Experience driving automation in security operations, compliance tracking, and evidence management. Knowledge of SaaS security operations and modern cloud environments; exposure to DevSecOps pipelines or security reviews for Terraform/containers. Experience with FedRAMP, DoD IL4, DoD IL5, government, or another highly regulated cloud environment, including support for 3PAO assessments or federal audits. Familiarity with NIST SP 800-53 controls, continuous monitoring, security impact analysis, and technical evidence requirements. Experience building compliance automation, continuous control monitoring, or automated evidence management capabilities. Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $153,000-$220,000 USD A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here .
09/23/2026
Full time
About the Role Abnormal AI is hiring a Senior Cloud Security Engineer to build and operate the security systems that protect our FedRAMP authorized environment. You will own secure delivery pipelines, infrastructure as code security, patch automation, identity controls, security telemetry, and incident response across a growing federal platform. You will design and build the capabilities that allow this environment to scale safely. Your work will include creating policy gates for cloud deployments, automating patch and access workflows, strengthening identity controls, improving security telemetry, and generating audit evidence directly from engineering systems. You will have meaningful ownership of both architecture and operational results, with the opportunity to replace repetitive work with reliable automation across the environment. You will work closely with DevInfra, FedOps, Product Security, Detection and Response, and Compliance to solve cloud security problems that cross traditional team boundaries. You will also use approved AI coding tools, such as Claude Code, to accelerate scripting, testing, documentation, and security automation. What you will do Build and improve secure delivery workflows for applications and infrastructure deployed into the federal environment. Create policy gates that evaluate infrastructure changes, security requirements, test results, and required approvals before deployment. Integrate security scanning and control validation into delivery workflows so issues are identified early in the development process. Review infrastructure as code changes that affect the federal boundary and help engineering teams resolve security risks before those changes reach production. Design automation that produces change records, approval history, test results, and required evidence directly from engineering workflows. Build and maintain hardened system image pipelines that consistently apply approved configurations, security controls, and operating system updates. Automate patch deployment across the environment, including testing, scheduling, rollout, validation, exception management, and compliance reporting. Improve fleet visibility so teams can quickly identify systems that are missing patches, running unsupported software, or operating outside approved configurations. Design and enforce identity and access controls across a complex cloud environment. Strengthen cloud security through organization policies, identity controls, resource policies, and automated configuration checks. Build preventive guardrails that block insecure or unauthorized configurations before they enter the federal environment. Own the reliability of security logging and monitoring pipelines, including ingestion coverage, data quality, source health, retention, and alerting. Develop automated checks that identify missing telemetry, delayed events, broken integrations, and other conditions that could reduce security visibility. Tune security detections to improve signal quality, reduce unnecessary alerts, and focus responders on activity that requires investigation. Build response automation that gathers context, enriches alerts, preserves evidence, and accelerates investigation and containment. Lead security incident response for the federal environment, including investigation, containment, recovery, evidence preservation, and after action reporting. Partner with infrastructure, operations, product security, incident response, and compliance teams to solve security problems that cross team boundaries. Must Haves 8+ years in cloud security engineering, DevSecOps, infrastructure security, or a closely related engineering discipline, including deep hands-on experience with AWS. Strong experience building or securing cloud deployment pipelines and infrastructure as code workflows. Proficiency in at least one scripting or programming language, preferably Python, with a record of automating recurring operational work. Working knowledge of identity and access management design and enforcement in large cloud environments. Production experience with security monitoring and incident response, including investigation, containment, recovery, and operational follow through. Nice to Have Experience integrating security automation into CI/CD pipelines and SecOps workflows. Prior experience supporting federal audits or 3PAO engagements. Knowledge of SaaS security operations and monitoring at scale. Experience driving automation in security operations, compliance tracking, and evidence management. Knowledge of SaaS security operations and modern cloud environments; exposure to DevSecOps pipelines or security reviews for Terraform/containers. Experience with FedRAMP, DoD IL4, DoD IL5, government, or another highly regulated cloud environment, including support for 3PAO assessments or federal audits. Familiarity with NIST SP 800-53 controls, continuous monitoring, security impact analysis, and technical evidence requirements. Experience building compliance automation, continuous control monitoring, or automated evidence management capabilities. Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $153,000-$220,000 USD A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here .
Morgan Stanley
Low Latency Network Engineer
Morgan Stanley New York, New York
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Network Engineer position at the Director level, which is part of the job family responsible for maintaining the stability and reliability of the organization's infrastructure systems, ensuring optimal performance and availability to support business operations. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on. We are looking for a Networks Engineer (SME) to join our team, The broad knowledge of all major topics is critical. The ideal candidate will have 8+ years of experience in the enterprise environment (preferably in a Financial Services Firm), Technology vendor or systems integrator in the role of designing or implementing and providing operational support to the large scale networks. Ability to work both independently and as a team member is essential. Strong communication and presentation skills are imperative to be able explain network design, articulate risk, and facilitate decision making. What you'll bring to the role: Ethernet technologies: STP, 802.1Q, VPC, Multilayer Switching; Leaf-Spine IP Fabric IP Routing: Multicast PIM, OSPF, BGP, MPBGP, TCP/IP VxLAN Platform knowledge on Cisco/Arista Switching & Routing Platforms Experience working with low latency market data & Internet Service Providers environment Knowledge with IP NAT, PAT, Multicast Routing - IGMP, IPSec VPN, GRE tunnels Skills Desired: Familiarity with JIRA for project and task management, specifically work in Agile. Ability to use Microsoft applications with strong presentation skills using Canva, Powerpoint Proficient in UNIX or Linux Experience with scripting / automation using Python / Ansible is a strong plus. Wireshark, Infoblox, HPNA, Splunk, Sevone, Ansible is a plus Good to have some cloud and wireless knowledge Strong sense of security concept include defense in depth, zero trust networking, least privilege principle, risks and controls. Additionally, the ideal candidate should be Flexible and adaptable to meet the team's target Honest, hardworking, and reliable Possess a strong sense of ownership and accountability Must be able to work on the weekend and help with the executions and deployments. Must be able to drive enterprise level initiatives working with senior stakeholders across different regions. The resource must be willing to be onsite from day 1. With manager's approval, some flexibility to work in a hybrid environment. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste into your browser. Expected base pay rates for the role will be between $120,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit:
09/23/2026
Full time
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Network Engineer position at the Director level, which is part of the job family responsible for maintaining the stability and reliability of the organization's infrastructure systems, ensuring optimal performance and availability to support business operations. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on. We are looking for a Networks Engineer (SME) to join our team, The broad knowledge of all major topics is critical. The ideal candidate will have 8+ years of experience in the enterprise environment (preferably in a Financial Services Firm), Technology vendor or systems integrator in the role of designing or implementing and providing operational support to the large scale networks. Ability to work both independently and as a team member is essential. Strong communication and presentation skills are imperative to be able explain network design, articulate risk, and facilitate decision making. What you'll bring to the role: Ethernet technologies: STP, 802.1Q, VPC, Multilayer Switching; Leaf-Spine IP Fabric IP Routing: Multicast PIM, OSPF, BGP, MPBGP, TCP/IP VxLAN Platform knowledge on Cisco/Arista Switching & Routing Platforms Experience working with low latency market data & Internet Service Providers environment Knowledge with IP NAT, PAT, Multicast Routing - IGMP, IPSec VPN, GRE tunnels Skills Desired: Familiarity with JIRA for project and task management, specifically work in Agile. Ability to use Microsoft applications with strong presentation skills using Canva, Powerpoint Proficient in UNIX or Linux Experience with scripting / automation using Python / Ansible is a strong plus. Wireshark, Infoblox, HPNA, Splunk, Sevone, Ansible is a plus Good to have some cloud and wireless knowledge Strong sense of security concept include defense in depth, zero trust networking, least privilege principle, risks and controls. Additionally, the ideal candidate should be Flexible and adaptable to meet the team's target Honest, hardworking, and reliable Possess a strong sense of ownership and accountability Must be able to work on the weekend and help with the executions and deployments. Must be able to drive enterprise level initiatives working with senior stakeholders across different regions. The resource must be willing to be onsite from day 1. With manager's approval, some flexibility to work in a hybrid environment. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste into your browser. Expected base pay rates for the role will be between $120,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit:
Director, Product Security
Crunchyroll, LLC Los Angeles, California
About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role Crunchyroll is growing and evolving, creating both new opportunities and new challenges as it protects millions of anime fans worldwide while still shipping quickly and with high quality. We are looking for a security leader who wants to shape how engineering builds and operates securely at scale. In this Principal-level, hands-on Director role reporting to the VP of Information Security, you will connect strategy to execution by turning security goals into secure-by-default, compliant systems and practices that teams actually use. You will partner closely with engineering leaders and senior ICs to reduce friction, align on priorities, and drive consistent follow-through, protecting our fans and our platform without sacrificing delivery velocity. Success will be through influence and enablement, and you will also periodically build practical solutions, such as reference implementations and tooling integrations, that make it easier for teams to adopt the right security patterns. Core Areas of Responsibility In this role, you will be a force multiplier for engineering, setting the direction, building key parts, and ensuring follow-through so security becomes a durable part of how Crunchyroll ships. You will own the engineering-facing mechanisms that make security real in day-to-day delivery: Security execution at scale: Drive adoption of security controls across engineering by driving adoption of clear engineering playbooks, paved paths, and secure-by-default platform capabilities that can be consistently adopted across services, regardless of engineering domain. Engineering teams remain accountable for design, implementation, operation, and remediation of their services. This role provides security strategy, guidance, tooling, visibility, coordination, and escalation mechanisms that enable teams to meet those obligations consistently at scale Vulnerability closure and systemic risk reduction: Facilitate the operating rhythm across engineering for vulnerability intake, triage, tracking of vulnerability ownership, SLAs, remediation planning, verification, and escalation. Establish systems and processes that ensure timely fixes and eliminate repeat issues through improvements. Tooling integration and evidence readiness: Coordinate with engineering teams to integrate enterprise security tooling into CI/CD and production environments, and ensure engineering can reliably produce evidence of compliance in a low-friction, automated way. Design-time security embedded in engineering workflows: Ensure threat modeling and security architecture considerations are built into how engineering designs and ships using approved patterns and reference architectures as the default starting point. Pragmatic requirements shaping: When requirements are infeasible or disproportionately costly, you'll drive early escalation and propose alternatives (sequencing, compensating controls, platform changes) so we maintain momentum without accepting unmanaged risk. Cross-team alignment and escalation: Identify cross-domain architectural risks and drive alignment / decision-making through established engineering leadership and architecture governance processes, bringing the right stakeholders together and escalating when tradeoffs require executive judgment. Incident readiness and closure: Improve security incident preparedness in engineering (runbooks, exercises, detection hooks) and ensure post-incident actions translate into durable engineering improvements. Partner with Global Security for execution: Serve as the primary engineering counterpart to Global Security, translating enterprise policies, controls, tooling, and compliance requirements into recommendations or actionable insights that are adoptable engineering practices, and feeding back where standards need better patterns, automation, or sequencing to scale. What success looks like Success in this role is not about managing security reviews, success is measurable engineering outcomes: Drive enterprise-wide adoption of Security and Privacy by Design, ensuring security, privacy, and compliance requirements are proactively integrated into products, services, and technology platforms Security controls are implemented broadly with minimal friction because the secure path is well defined Vulnerabilities have clear owners, predictable remediation, and decreased recurring issues Success in this role is about partnering with Engineering teams on security initiatives and enabling them to be effective with an understanding that Engineering teams have clear ownership of platforms and will be accountable for them About You We get excited about candidates like you, because You have 12+ years of progressive experience in information security, application security, cloud security, or software engineering, including significant experience leading enterprise-scale security initiatives through technical influence rather than direct authority. You exhibit Principal-level technical leadership with a proven track record of leading cross-team security initiatives through influence, clarity, and shipping real systems-not just policies. You possess strong application security fundamentals such as: authn/authz, session security, secure API design, data protection, threat modeling, and secure SDLC practices. You have pragmatic risk management, with the ability to prioritize, quantify tradeoffs, and create guardrails that teams actually adopt. You have cloud & platform security experience such as: IAM concepts, secrets management, key management, service-to-service auth patterns, and logging/detection fundamentals. You possess a DevSecOps and automation mindset and have experience integrating security checks into CI/CD with minimal developer friction. You exhibit depth in vulnerability management, knowing how to triage, develop remediation strategies, verify fixes, all while partnering with teams to close the loop quickly. You possess excellent communication skills that include concise, executive-ready writing and strong technical coaching abilities for engineers. You meet people where they are and endeavor to build intrinsic motivation to develop solutions to problems through shared understanding. Preferred, but not required: Experience with streaming/media security and DRM ecosystems and output protection concepts. Experience with mobile and device ecosystems (iOS/Android/TV devices), including secure storage patterns and platform attestation. Familiarity with reverse engineering tools and client hardening/anti-tamper approaches. Exposure to privacy/security compliance partnerships (GRC) and working with legal/product on policy requirements. About the Team Crunchyroll's Security team is focused on partnering with teams across the organization to provide secure solutions and protect company assets as we serve the Anime community. We provide Security, GRC (Governance, Risk, and Compliance), Data Privacy, and Network Infrastructure services to the enterprise. Everyday we have an opportunity to make a positive impact while being at the center of innovative initiatives. If you are looking to join a team where you will make a difference, we would love to hear from you. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - Los Angeles, CA $249,000-$305,000 USD About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service . click apply for full job details
09/23/2026
Full time
About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role Crunchyroll is growing and evolving, creating both new opportunities and new challenges as it protects millions of anime fans worldwide while still shipping quickly and with high quality. We are looking for a security leader who wants to shape how engineering builds and operates securely at scale. In this Principal-level, hands-on Director role reporting to the VP of Information Security, you will connect strategy to execution by turning security goals into secure-by-default, compliant systems and practices that teams actually use. You will partner closely with engineering leaders and senior ICs to reduce friction, align on priorities, and drive consistent follow-through, protecting our fans and our platform without sacrificing delivery velocity. Success will be through influence and enablement, and you will also periodically build practical solutions, such as reference implementations and tooling integrations, that make it easier for teams to adopt the right security patterns. Core Areas of Responsibility In this role, you will be a force multiplier for engineering, setting the direction, building key parts, and ensuring follow-through so security becomes a durable part of how Crunchyroll ships. You will own the engineering-facing mechanisms that make security real in day-to-day delivery: Security execution at scale: Drive adoption of security controls across engineering by driving adoption of clear engineering playbooks, paved paths, and secure-by-default platform capabilities that can be consistently adopted across services, regardless of engineering domain. Engineering teams remain accountable for design, implementation, operation, and remediation of their services. This role provides security strategy, guidance, tooling, visibility, coordination, and escalation mechanisms that enable teams to meet those obligations consistently at scale Vulnerability closure and systemic risk reduction: Facilitate the operating rhythm across engineering for vulnerability intake, triage, tracking of vulnerability ownership, SLAs, remediation planning, verification, and escalation. Establish systems and processes that ensure timely fixes and eliminate repeat issues through improvements. Tooling integration and evidence readiness: Coordinate with engineering teams to integrate enterprise security tooling into CI/CD and production environments, and ensure engineering can reliably produce evidence of compliance in a low-friction, automated way. Design-time security embedded in engineering workflows: Ensure threat modeling and security architecture considerations are built into how engineering designs and ships using approved patterns and reference architectures as the default starting point. Pragmatic requirements shaping: When requirements are infeasible or disproportionately costly, you'll drive early escalation and propose alternatives (sequencing, compensating controls, platform changes) so we maintain momentum without accepting unmanaged risk. Cross-team alignment and escalation: Identify cross-domain architectural risks and drive alignment / decision-making through established engineering leadership and architecture governance processes, bringing the right stakeholders together and escalating when tradeoffs require executive judgment. Incident readiness and closure: Improve security incident preparedness in engineering (runbooks, exercises, detection hooks) and ensure post-incident actions translate into durable engineering improvements. Partner with Global Security for execution: Serve as the primary engineering counterpart to Global Security, translating enterprise policies, controls, tooling, and compliance requirements into recommendations or actionable insights that are adoptable engineering practices, and feeding back where standards need better patterns, automation, or sequencing to scale. What success looks like Success in this role is not about managing security reviews, success is measurable engineering outcomes: Drive enterprise-wide adoption of Security and Privacy by Design, ensuring security, privacy, and compliance requirements are proactively integrated into products, services, and technology platforms Security controls are implemented broadly with minimal friction because the secure path is well defined Vulnerabilities have clear owners, predictable remediation, and decreased recurring issues Success in this role is about partnering with Engineering teams on security initiatives and enabling them to be effective with an understanding that Engineering teams have clear ownership of platforms and will be accountable for them About You We get excited about candidates like you, because You have 12+ years of progressive experience in information security, application security, cloud security, or software engineering, including significant experience leading enterprise-scale security initiatives through technical influence rather than direct authority. You exhibit Principal-level technical leadership with a proven track record of leading cross-team security initiatives through influence, clarity, and shipping real systems-not just policies. You possess strong application security fundamentals such as: authn/authz, session security, secure API design, data protection, threat modeling, and secure SDLC practices. You have pragmatic risk management, with the ability to prioritize, quantify tradeoffs, and create guardrails that teams actually adopt. You have cloud & platform security experience such as: IAM concepts, secrets management, key management, service-to-service auth patterns, and logging/detection fundamentals. You possess a DevSecOps and automation mindset and have experience integrating security checks into CI/CD with minimal developer friction. You exhibit depth in vulnerability management, knowing how to triage, develop remediation strategies, verify fixes, all while partnering with teams to close the loop quickly. You possess excellent communication skills that include concise, executive-ready writing and strong technical coaching abilities for engineers. You meet people where they are and endeavor to build intrinsic motivation to develop solutions to problems through shared understanding. Preferred, but not required: Experience with streaming/media security and DRM ecosystems and output protection concepts. Experience with mobile and device ecosystems (iOS/Android/TV devices), including secure storage patterns and platform attestation. Familiarity with reverse engineering tools and client hardening/anti-tamper approaches. Exposure to privacy/security compliance partnerships (GRC) and working with legal/product on policy requirements. About the Team Crunchyroll's Security team is focused on partnering with teams across the organization to provide secure solutions and protect company assets as we serve the Anime community. We provide Security, GRC (Governance, Risk, and Compliance), Data Privacy, and Network Infrastructure services to the enterprise. Everyday we have an opportunity to make a positive impact while being at the center of innovative initiatives. If you are looking to join a team where you will make a difference, we would love to hear from you. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - Los Angeles, CA $249,000-$305,000 USD About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service . click apply for full job details
Enterprise API Platform Engineer, AVP
MUFG Tempe, Arizona
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. MUFG Bank N.A. is currently recruiting for an Associate Vice President, Middleware Cloud Services Engineer that will be located in Tampa, FL or Jersey City, NJ who will utilize the software development skillsets in a unique way to deliver stable and strategic automation solutions, enabling software capabilities across MUFG Bank N.A. The API First effort will deliver a world-class API Platform for commercial and transaction banking to enable the bank's competitive market position. This will serve our customers' best interests by providing an improved product suite, increased financial performance, and it will also eliminate significant legacy platforms. The Resetting the technology backbone 'R' is a multi-year effort that will implement a scalable, secure, compliant, and efficient technology platform; enable the Technology organization to be 'fit for growth' to meet future acquisition, customer growth, and product needs; drive a step-change reduction in technology operating costs; increase speed-to-market; minimize residual risk; and ensure security and compliance. The Role The Middleware Cloud Services Engineer will be a hands-on technical engineer that will be accountable for Software development, R&D and operations in support of the Enterprise Integration Platform at MUFG. On this team, you will face a wide array of technical challenges that greatly impact our business. This team works closely across the Cloud Transformation Organization, Enterprise Architecture, Security, Engineering and Operations organizations, in order to deliver next generation capabilities in an operationally stable software defined ecosystem to MUFG and its customers. The role will be responsible for design, evolution, implementation and support of the cloud transformation Enterprise Integration Platform operating across geographically diverse data centers, as well as cloud service providers, empowering our customers with capabilities of highly available, automated and cost-effective platform solutions to address resiliency, performance, portability, security and disaster recovery needs. The Role will serve as a point of escalation for all operational issues and critical events related to the Enterprise Integration Platform. The position will also need the individual to train the staff, developing standard operating procedures and writing knowledge articles. The Engineer will also be a key contributor to automation roadmap and strategy to improve policy driven automated operations while adhering to the industry best practices and infrastructure-as-code principles. Intrigued? Then, we would like to meet you if you have the following: AWS certifications related to architecture, networking, or security are strongly preferred; WSO2 certifications are nice to have A minimum of 5 years of experience with large scale mission critical and production scale platforms at an Enterprise or service provider is required At least 5 years of strong hands-on experience designing, implementing, and operating AWS API Gateway-based enterprise API platforms; familiarity with WSO2 API Manager is a plus Independent judgment, technical problem solving, analytical and decision-making strength is required. Excellent interpersonal, oral and written communication skills are required. Self-starter with strong teamwork abilities and customer service skills are required. Experience working in a Scrum methodology including the Atlassian stack (Jira/Confluence) is preferred. Required Skills: A minimum of 5 years of experience with large scale mission critical and production scale platforms at an Enterprise or service provider is required Deep expertise in AWS API Gateway including REST APIs, HTTP APIs, WebSocket APIs, custom domains, usage plans, stages, throttling, caching, and deployment strategies Strong experience designing secure, scalable API architectures on AWS using API Gateway, Lambda, ECS/EKS, ALB/NLB, and private integrations Hands-on expertise with API authentication and authorization patterns in AWS including IAM, Cognito, Lambda authorizers, OAuth2, JWT, and mutual TLS Experience implementing API lifecycle controls such as throttling, quota management, rate limiting, access policies, WAF integration, and multi-environment promotion on AWS Ability to design mock services, execute performance and resiliency testing, and guide internal teams on load testing and capacity planning for AWS-hosted API platforms Strong troubleshooting skills across AWS API Gateway, CloudWatch, X-Ray, networking, integrations, and downstream services in production environments Provides architecture guidance, best practices, and technology recommendations to ensure a resilient, secure, and cost-effective enterprise API ecosystem on AWS Experience with API logging, telemetry, and operational data management using CloudWatch, S3, and related AWS observability services Familiarity with data classification, API governance, secrets handling, and secure management of sensitive data across AWS services Expertise in multi-account and multi-region AWS deployment models with best practices for resiliency, failover, disaster recovery, and infrastructure standardization Ability to automate API platform provisioning and policy enforcement using infrastructure as code tools such as CloudFormation, Terraform, and CI/CD pipelines Experience integrating AWS API solutions with enterprise identity providers and access management platforms such as PingFederate, PingID, and similar SSO technologies In-depth knowledge of OAuth2, various grant types, JWT/OAuth tokens, API threat protection, and API security best practices In-depth knowledge of distributed tracing and observability, including setup and configuration of tools such as AWS X-Ray, Dynatrace, and CloudWatch for end-to-end API tracing Strong experience with AWS integration services such as Lambda, Step Functions, EventBridge, SQS, and SNS to build scalable integration patterns and event-driven workflows Expertise in translating business requirements into well-governed API products, backend integrations, and transformation patterns across cloud-native services Expert in working with container platforms such as OpenShift 4.x, Kubernetes 1.17 or higher, and AWS-native deployment environments Familiarity with Splunk and its integrations, including ingestion of AWS platform and API telemetry Ability to mentor and train the current team on AWS API Gateway, AWS integration patterns, API security, observability, and related platform engineering practices; basic WSO2 knowledge transfer is a plus Experience working with Spring Boot, Java, microservices, Docker, REST, SOAP, Postgres, CI/CD, Bitbucket, Azure DevOps, and cloud-native API delivery patterns Deep hands-on experience with AWS services including API Gateway, Lambda, EC2, S3, EFS, IAM, VPC, Security Groups, Availability Zones, Route 53, CloudWatch, WAF, and related networking and security constructs Nice to have working familiarity with WSO2 API Manager and migration considerations from WSO2-based implementations to AWS-led API platforms Education Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience The typical base pay range for this role is between $112K - $137K depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below. MUFG Benefits Summary We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance . click apply for full job details
09/23/2026
Full time
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. MUFG Bank N.A. is currently recruiting for an Associate Vice President, Middleware Cloud Services Engineer that will be located in Tampa, FL or Jersey City, NJ who will utilize the software development skillsets in a unique way to deliver stable and strategic automation solutions, enabling software capabilities across MUFG Bank N.A. The API First effort will deliver a world-class API Platform for commercial and transaction banking to enable the bank's competitive market position. This will serve our customers' best interests by providing an improved product suite, increased financial performance, and it will also eliminate significant legacy platforms. The Resetting the technology backbone 'R' is a multi-year effort that will implement a scalable, secure, compliant, and efficient technology platform; enable the Technology organization to be 'fit for growth' to meet future acquisition, customer growth, and product needs; drive a step-change reduction in technology operating costs; increase speed-to-market; minimize residual risk; and ensure security and compliance. The Role The Middleware Cloud Services Engineer will be a hands-on technical engineer that will be accountable for Software development, R&D and operations in support of the Enterprise Integration Platform at MUFG. On this team, you will face a wide array of technical challenges that greatly impact our business. This team works closely across the Cloud Transformation Organization, Enterprise Architecture, Security, Engineering and Operations organizations, in order to deliver next generation capabilities in an operationally stable software defined ecosystem to MUFG and its customers. The role will be responsible for design, evolution, implementation and support of the cloud transformation Enterprise Integration Platform operating across geographically diverse data centers, as well as cloud service providers, empowering our customers with capabilities of highly available, automated and cost-effective platform solutions to address resiliency, performance, portability, security and disaster recovery needs. The Role will serve as a point of escalation for all operational issues and critical events related to the Enterprise Integration Platform. The position will also need the individual to train the staff, developing standard operating procedures and writing knowledge articles. The Engineer will also be a key contributor to automation roadmap and strategy to improve policy driven automated operations while adhering to the industry best practices and infrastructure-as-code principles. Intrigued? Then, we would like to meet you if you have the following: AWS certifications related to architecture, networking, or security are strongly preferred; WSO2 certifications are nice to have A minimum of 5 years of experience with large scale mission critical and production scale platforms at an Enterprise or service provider is required At least 5 years of strong hands-on experience designing, implementing, and operating AWS API Gateway-based enterprise API platforms; familiarity with WSO2 API Manager is a plus Independent judgment, technical problem solving, analytical and decision-making strength is required. Excellent interpersonal, oral and written communication skills are required. Self-starter with strong teamwork abilities and customer service skills are required. Experience working in a Scrum methodology including the Atlassian stack (Jira/Confluence) is preferred. Required Skills: A minimum of 5 years of experience with large scale mission critical and production scale platforms at an Enterprise or service provider is required Deep expertise in AWS API Gateway including REST APIs, HTTP APIs, WebSocket APIs, custom domains, usage plans, stages, throttling, caching, and deployment strategies Strong experience designing secure, scalable API architectures on AWS using API Gateway, Lambda, ECS/EKS, ALB/NLB, and private integrations Hands-on expertise with API authentication and authorization patterns in AWS including IAM, Cognito, Lambda authorizers, OAuth2, JWT, and mutual TLS Experience implementing API lifecycle controls such as throttling, quota management, rate limiting, access policies, WAF integration, and multi-environment promotion on AWS Ability to design mock services, execute performance and resiliency testing, and guide internal teams on load testing and capacity planning for AWS-hosted API platforms Strong troubleshooting skills across AWS API Gateway, CloudWatch, X-Ray, networking, integrations, and downstream services in production environments Provides architecture guidance, best practices, and technology recommendations to ensure a resilient, secure, and cost-effective enterprise API ecosystem on AWS Experience with API logging, telemetry, and operational data management using CloudWatch, S3, and related AWS observability services Familiarity with data classification, API governance, secrets handling, and secure management of sensitive data across AWS services Expertise in multi-account and multi-region AWS deployment models with best practices for resiliency, failover, disaster recovery, and infrastructure standardization Ability to automate API platform provisioning and policy enforcement using infrastructure as code tools such as CloudFormation, Terraform, and CI/CD pipelines Experience integrating AWS API solutions with enterprise identity providers and access management platforms such as PingFederate, PingID, and similar SSO technologies In-depth knowledge of OAuth2, various grant types, JWT/OAuth tokens, API threat protection, and API security best practices In-depth knowledge of distributed tracing and observability, including setup and configuration of tools such as AWS X-Ray, Dynatrace, and CloudWatch for end-to-end API tracing Strong experience with AWS integration services such as Lambda, Step Functions, EventBridge, SQS, and SNS to build scalable integration patterns and event-driven workflows Expertise in translating business requirements into well-governed API products, backend integrations, and transformation patterns across cloud-native services Expert in working with container platforms such as OpenShift 4.x, Kubernetes 1.17 or higher, and AWS-native deployment environments Familiarity with Splunk and its integrations, including ingestion of AWS platform and API telemetry Ability to mentor and train the current team on AWS API Gateway, AWS integration patterns, API security, observability, and related platform engineering practices; basic WSO2 knowledge transfer is a plus Experience working with Spring Boot, Java, microservices, Docker, REST, SOAP, Postgres, CI/CD, Bitbucket, Azure DevOps, and cloud-native API delivery patterns Deep hands-on experience with AWS services including API Gateway, Lambda, EC2, S3, EFS, IAM, VPC, Security Groups, Availability Zones, Route 53, CloudWatch, WAF, and related networking and security constructs Nice to have working familiarity with WSO2 API Manager and migration considerations from WSO2-based implementations to AWS-led API platforms Education Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience The typical base pay range for this role is between $112K - $137K depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below. MUFG Benefits Summary We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance . click apply for full job details
Cloud & AI Infrastructure Engineer
Hanwha Energy USA Houston, Texas
COMPANY OVERVIEW Hanwha Energy USA , headquartered in Houston, Texas, is part of the Hanwha Group-a FORTUNE Global 300 company and one of South Korea's most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America's growing data center industry. Our expertise covers the entire energy value chain-from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets. Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of: Hanwha Renewables - specializing in utility-scale solar and battery energy storage systems (BESS) Chariot Energy - providing retail electricity services for residential, commercial, and industrial customers in deregulated markets POSITION OVERVIEW We are seeking a Cloud & AI Infrastructure Engineer to design, build, operate, and optimize the Azure and AI platform that supports our internal applications, AI agents, copilots, automations, and enterprise data workloads. This role is responsible for providing a secure, reliable, and cost-effective cloud foundation as our AI and application landscape scales. The ideal candidate will bring strong hands-on experience with Azure infrastructure, infrastructure-as-code, CI/CD, monitoring, observability, and cloud cost optimization. This person will work closely with Application Development and Data Management to ensure AI-enabled solutions are production-ready, well-governed, and operationally supportable. This is not a general infrastructure support role. We are looking for an engineer who can help establish modern cloud engineering discipline around provisioning, deployment, logging, monitoring, security, and cost control for AI-enabled systems. The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies. RESPONSIBILITIES Design and provision Azure and AI resources using infrastructure-as-code, ensuring consistency, scalability, and maintainability. Establish and enforce standards for networking, identity, monitoring, security, tagging, and cloud resource governance. Build and maintain CI/CD pipelines for AI-enabled applications, internal platforms, agents, and automations. Implement and support logging, telemetry, monitoring, and observability practices for AI and cloud-based workloads. Partner with Application Development and Data Management to ensure solutions are deployed and operated in a secure, reliable, and supportable manner. Manage Azure and AI platform environments across development, testing, and production. Monitor and optimize Azure and Azure OpenAI usage and spend, right-size resources, and help improve cloud cost visibility and efficiency. Partner with Finance and IT leadership on cloud cost reporting, chargeback visibility, and optimization opportunities. Support identity, access, secrets, and security practices required for enterprise cloud and AI workloads. Help define and maintain operational standards for backup, resiliency, recovery, alerting, and support readiness. Troubleshoot deployment, performance, connectivity, and infrastructure issues affecting applications, agents, and cloud services. Contribute to architecture discussions related to hosting, integration, scaling, environment design, and operational controls. Document cloud patterns, standards, deployment approaches, and support procedures in a clear and practical way. Evaluate and introduce appropriate tools and patterns that improve reliability, delivery speed, visibility, and cost management. REQUIRED QUALIFICATIONS Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field. Equivalent experience may be considered. 4+ years of experience in cloud engineering, platform engineering, DevOps, or infrastructure engineering. Strong hands-on experience with Microsoft Azure services and cloud architecture. Experience with infrastructure-as-code such as Terraform, Bicep, ARM templates, or similar tools. Experience building and maintaining CI/CD pipelines for application and platform deployment. Experience implementing monitoring, logging, alerting, and observability for production systems. Understanding of identity, access control, security, and networking concepts in cloud environments. Experience supporting production applications and cloud platforms with a focus on reliability and operational excellence. Strong troubleshooting and problem-solving skills. Ability to work effectively with software developers, data engineers, and technical leadership. Preferred Qualifications Experience supporting AI or machine learning workloads in Azure. Familiarity with Azure OpenAI and the infrastructure patterns needed to support AI-enabled applications. Experience with containerization, orchestration, or modern hosting models. Experience with FinOps, cloud cost optimization, tagging governance, or cost reporting. Experience with secrets management, policy enforcement, and secure deployment patterns. Experience in environments with custom internal applications, integrations, and growing cloud platforms. Familiarity with observability and telemetry practices for distributed systems and AI applications. Key Skills Azure architecture and provisioning Infrastructure-as-code CI/CD pipeline engineering Logging and observability Monitoring and alerting Identity and access controls Cloud networking and security Azure OpenAI platform support Cloud cost optimization Production support and reliability engineering Cross-functional technical collaboration What Success Looks Like In this role, success means: Azure environments are provisioned consistently and governed effectively AI-enabled applications and agents are deployed through repeatable and reliable pipelines Logging, observability, and alerting are strong enough to support production operations Azure and Azure OpenAI usage is monitored and optimized for both performance and cost Cloud standards for identity, networking, security, and tagging are followed consistently Application Development and Data Management teams can move faster because the platform foundation is stable and well run IT leadership and Finance have clearer visibility into cloud consumption and optimization opportunities COMPENSATION: $160,000 - $190,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates. Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
09/23/2026
Full time
COMPANY OVERVIEW Hanwha Energy USA , headquartered in Houston, Texas, is part of the Hanwha Group-a FORTUNE Global 300 company and one of South Korea's most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America's growing data center industry. Our expertise covers the entire energy value chain-from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets. Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of: Hanwha Renewables - specializing in utility-scale solar and battery energy storage systems (BESS) Chariot Energy - providing retail electricity services for residential, commercial, and industrial customers in deregulated markets POSITION OVERVIEW We are seeking a Cloud & AI Infrastructure Engineer to design, build, operate, and optimize the Azure and AI platform that supports our internal applications, AI agents, copilots, automations, and enterprise data workloads. This role is responsible for providing a secure, reliable, and cost-effective cloud foundation as our AI and application landscape scales. The ideal candidate will bring strong hands-on experience with Azure infrastructure, infrastructure-as-code, CI/CD, monitoring, observability, and cloud cost optimization. This person will work closely with Application Development and Data Management to ensure AI-enabled solutions are production-ready, well-governed, and operationally supportable. This is not a general infrastructure support role. We are looking for an engineer who can help establish modern cloud engineering discipline around provisioning, deployment, logging, monitoring, security, and cost control for AI-enabled systems. The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies. RESPONSIBILITIES Design and provision Azure and AI resources using infrastructure-as-code, ensuring consistency, scalability, and maintainability. Establish and enforce standards for networking, identity, monitoring, security, tagging, and cloud resource governance. Build and maintain CI/CD pipelines for AI-enabled applications, internal platforms, agents, and automations. Implement and support logging, telemetry, monitoring, and observability practices for AI and cloud-based workloads. Partner with Application Development and Data Management to ensure solutions are deployed and operated in a secure, reliable, and supportable manner. Manage Azure and AI platform environments across development, testing, and production. Monitor and optimize Azure and Azure OpenAI usage and spend, right-size resources, and help improve cloud cost visibility and efficiency. Partner with Finance and IT leadership on cloud cost reporting, chargeback visibility, and optimization opportunities. Support identity, access, secrets, and security practices required for enterprise cloud and AI workloads. Help define and maintain operational standards for backup, resiliency, recovery, alerting, and support readiness. Troubleshoot deployment, performance, connectivity, and infrastructure issues affecting applications, agents, and cloud services. Contribute to architecture discussions related to hosting, integration, scaling, environment design, and operational controls. Document cloud patterns, standards, deployment approaches, and support procedures in a clear and practical way. Evaluate and introduce appropriate tools and patterns that improve reliability, delivery speed, visibility, and cost management. REQUIRED QUALIFICATIONS Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field. Equivalent experience may be considered. 4+ years of experience in cloud engineering, platform engineering, DevOps, or infrastructure engineering. Strong hands-on experience with Microsoft Azure services and cloud architecture. Experience with infrastructure-as-code such as Terraform, Bicep, ARM templates, or similar tools. Experience building and maintaining CI/CD pipelines for application and platform deployment. Experience implementing monitoring, logging, alerting, and observability for production systems. Understanding of identity, access control, security, and networking concepts in cloud environments. Experience supporting production applications and cloud platforms with a focus on reliability and operational excellence. Strong troubleshooting and problem-solving skills. Ability to work effectively with software developers, data engineers, and technical leadership. Preferred Qualifications Experience supporting AI or machine learning workloads in Azure. Familiarity with Azure OpenAI and the infrastructure patterns needed to support AI-enabled applications. Experience with containerization, orchestration, or modern hosting models. Experience with FinOps, cloud cost optimization, tagging governance, or cost reporting. Experience with secrets management, policy enforcement, and secure deployment patterns. Experience in environments with custom internal applications, integrations, and growing cloud platforms. Familiarity with observability and telemetry practices for distributed systems and AI applications. Key Skills Azure architecture and provisioning Infrastructure-as-code CI/CD pipeline engineering Logging and observability Monitoring and alerting Identity and access controls Cloud networking and security Azure OpenAI platform support Cloud cost optimization Production support and reliability engineering Cross-functional technical collaboration What Success Looks Like In this role, success means: Azure environments are provisioned consistently and governed effectively AI-enabled applications and agents are deployed through repeatable and reliable pipelines Logging, observability, and alerting are strong enough to support production operations Azure and Azure OpenAI usage is monitored and optimized for both performance and cost Cloud standards for identity, networking, security, and tagging are followed consistently Application Development and Data Management teams can move faster because the platform foundation is stable and well run IT leadership and Finance have clearer visibility into cloud consumption and optimization opportunities COMPENSATION: $160,000 - $190,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates. Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

Modal Window

  • Home
  • Contact
  • About Us
  • FAQs
  • Terms & Conditions
  • Privacy
  • Employer
  • Post a Job
  • Search Resumes
  • Sign in
  • Job Seeker
  • Find Jobs
  • Create Resume
  • Sign in
  • IT blog
  • Facebook
  • Twitter
  • LinkedIn
  • Youtube
© 2008-2026 IT Job Board