RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Northrop Grumman Defense Systems in the Strategic Deterrent Systems (SDS) Division is seeking a Principal or Sr. Principal Product Support Systems Engineer. This position will support the Nuclear-Armed Sea-Launched Cruise Missile (SLCM-N) program in Huntsville, AL. This position will be responsible for providing support in the areas of preliminary design, proposal development, and technology maturation. This position may be filled at a higher level based on qualifications below. Roles and Responsibilities Provide technical contributions to a growing SLCM-N team for the Technology Maturation and Risk Reduction (TMRR) phase of new tactical deterrence system in the areas of cruise missiles and support systems/subsystems. Develop requirements for system manufacturability and maintainability for the flight vehicle and provide technical oversight for avionics, propulsion and/or airframe production, with an emphasis on efficiency, quality, and minimizing impacts to Navy operations. Contribute to trade studies, architecture development, and system engineering, including producibility and affordability design influence, to produce a conceptual weapon system designs that meet potential customers' performance, cost, schedule, and risk thresholds while informing them of the surrounding design space for capability considerations, especially capability versus life cycle and cost versus technical availability date. Contribute to identification, assessment, and tracking of technology roadmap and associated existing or developing support system capability gaps to feed technology development and conceptual design process. Lead development of technical proposal volumes, including system architecture descriptions, CONOPS, risk assessments, and technical baseline definition for a TMRR-phase program Support creation of compliant, compelling responses to RFP/RFS requirements Demonstrate a commitment to ethics and integrity, and the capability to innovate while challenging traditional ways of doing business Operate in an advanced design environment and collaborate across the Division and Suppliers as required to accomplish the team goals Transition innovative solutions, technologies, and advanced concepts for US deterrence interests to programs of record for product development and fielding Basic Qualifications This position may be filled at a Principal Systems Engineer level or at a Sr. Principal Systems Engineer level Requires a bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 5 years of related experience; or a master's degree with 3 years of related experience (Sr. Principal level requires 8 years with a bachelor's; or 6 years with a master's) Must be a US Citizen with an active US Government Secret Security Clearance, at time of application, current and within scope, with an investigation date within the last 6 years, with the ability to obtain a Top Secret clearance Must have the ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business needs Requires experience with DoD weapon system support system conceptual and preliminary design, particularly related to design analysis cycles, cost versus capability trade studies, and multi-design discipline integration Requires experience with ballistic missile, cruise missile, and/or weapon support system design Preferred Qualifications Active US Government Top Secret Security Clearance at time of application, current and within scope Operational experience with Navy Strategic Weapons Facilities Experience with Navy Programs and submarine operations Experience with digital design, model based engineering, and modeling and simulation tools and processes Experience with nuclear hardened strategic systems Experience with Design Integration, Process Optimization, and/or Manufacturing Techniques Position Benefits As a full-time employee of Northrop Grumman Defense Systems, you are eligible for our robust benefits package including: Medical, Dental & Vision coverage 401k Educational Assistance Life Insurance Employee Assistance Programs & Work/Life Solutions Paid Time Off Health & Wellness Resources Employee Discounts This position's standard work schedule is 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. This role may offer a competitive relocation assistance package. Primary Level Salary Range: $108,800.00 - $163,200.00 Secondary Level Salary Range: $135,800.00 - $203,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
11/02/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Northrop Grumman Defense Systems in the Strategic Deterrent Systems (SDS) Division is seeking a Principal or Sr. Principal Product Support Systems Engineer. This position will support the Nuclear-Armed Sea-Launched Cruise Missile (SLCM-N) program in Huntsville, AL. This position will be responsible for providing support in the areas of preliminary design, proposal development, and technology maturation. This position may be filled at a higher level based on qualifications below. Roles and Responsibilities Provide technical contributions to a growing SLCM-N team for the Technology Maturation and Risk Reduction (TMRR) phase of new tactical deterrence system in the areas of cruise missiles and support systems/subsystems. Develop requirements for system manufacturability and maintainability for the flight vehicle and provide technical oversight for avionics, propulsion and/or airframe production, with an emphasis on efficiency, quality, and minimizing impacts to Navy operations. Contribute to trade studies, architecture development, and system engineering, including producibility and affordability design influence, to produce a conceptual weapon system designs that meet potential customers' performance, cost, schedule, and risk thresholds while informing them of the surrounding design space for capability considerations, especially capability versus life cycle and cost versus technical availability date. Contribute to identification, assessment, and tracking of technology roadmap and associated existing or developing support system capability gaps to feed technology development and conceptual design process. Lead development of technical proposal volumes, including system architecture descriptions, CONOPS, risk assessments, and technical baseline definition for a TMRR-phase program Support creation of compliant, compelling responses to RFP/RFS requirements Demonstrate a commitment to ethics and integrity, and the capability to innovate while challenging traditional ways of doing business Operate in an advanced design environment and collaborate across the Division and Suppliers as required to accomplish the team goals Transition innovative solutions, technologies, and advanced concepts for US deterrence interests to programs of record for product development and fielding Basic Qualifications This position may be filled at a Principal Systems Engineer level or at a Sr. Principal Systems Engineer level Requires a bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 5 years of related experience; or a master's degree with 3 years of related experience (Sr. Principal level requires 8 years with a bachelor's; or 6 years with a master's) Must be a US Citizen with an active US Government Secret Security Clearance, at time of application, current and within scope, with an investigation date within the last 6 years, with the ability to obtain a Top Secret clearance Must have the ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business needs Requires experience with DoD weapon system support system conceptual and preliminary design, particularly related to design analysis cycles, cost versus capability trade studies, and multi-design discipline integration Requires experience with ballistic missile, cruise missile, and/or weapon support system design Preferred Qualifications Active US Government Top Secret Security Clearance at time of application, current and within scope Operational experience with Navy Strategic Weapons Facilities Experience with Navy Programs and submarine operations Experience with digital design, model based engineering, and modeling and simulation tools and processes Experience with nuclear hardened strategic systems Experience with Design Integration, Process Optimization, and/or Manufacturing Techniques Position Benefits As a full-time employee of Northrop Grumman Defense Systems, you are eligible for our robust benefits package including: Medical, Dental & Vision coverage 401k Educational Assistance Life Insurance Employee Assistance Programs & Work/Life Solutions Paid Time Off Health & Wellness Resources Employee Discounts This position's standard work schedule is 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. This role may offer a competitive relocation assistance package. Primary Level Salary Range: $108,800.00 - $163,200.00 Secondary Level Salary Range: $135,800.00 - $203,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Defense Systems (NGDS) is looking for a Software Engineer based out of Hollywood, MD (St. Mary's County). Our Team works on state-of-the-art Mission Planning systems. This is a role in a large program that will support the full software product lifecycle in an Agile Scrum framework: requirement definition, estimation, implementation, unit testing, integration testing, SW/HW integration, test documentation, supporting test events, and customer support. The ideal candidate will be a cross-functional team player, willing to take on challenges, that collaborates with internal and external teams and that is driven to provide solutions to internal and external customers. Responsibilities Include: Design, develop, document, test and debug applications software and systems that contain logical and mathematical solutions while ensuring software standards are met Maintain and improve the software CI/CD pipelines to enable fast, bug free delivery of critical business software to production Set up and deploy Development, Test, and Build environments Install, test, and verify software products Provide support for the software build and installation Work within a Cross-Functional scrum to develop high-priority mission planning features Understand third-party software and hardware peripherals to support implementation of software interfaces and support integration Define and develop test approaches for new software and system capabilities Compile data and define changes required in testing procedures or new testing requirements Perform frequent Smoke Testing and frequent Acceptance Testing on SW builds Resolve technical issues within a scrum, across scrums, and with the support of other functional roles Interface on a technical level with the customer Support authoring and development of contract deliverable documentation that support deliverable software products and test events Help define automated test strategies Support the Agile Framework as a Scrum Master, when required All work must be performed on-site in Hollywood, MD Software Engineer Basic Qualifications: Bachelor's degree in STEM and a minimum of 2 years of relevant (Computer Science, etc.) experience, or 0 years of experience with a Master's degree (Computer Science, etc.). Relevant (Computer Science, etc.) years of experience in lieu of degree may be considered Current DoD Secret Clearance (adjudicated within the last 5 years), with ability to obtain a Top-Secret clearance and /or Special Access Program (SAP) clearances Experience with/using Agile Methodology and Continuous Integration (CI) / Continuous Deployment (CD) Tools (Bamboo, Jenkins) and Practices Proficiency in C# and/or Java and Object-Oriented Software Design paradigms Experience with Microsoft Windows technologies Test procedure development and maintenance Experience supporting/coordinating formal test events Experience with one or more of the following scripts: yaml, Python, PowerShell, Batch, Typescript Automated test script or test procedure development and maintenance for software testing Experience with automated testing and test software such as TestComplete 4 A functional understanding of how revision control systems (e.g., BitBucket, git, CVS, etc.) are used Hands-on system troubleshooting skills Preferred (Nice to Have) Qualifications: Proficiency in C#, .NET Framework Experience with Windows Presentation Foundation (WPF) and Microsoft Windows-based Applications Experience with Microservice development and service communication protocols such as gRPC and/or REST Experience with Software Design Patterns Experience as a Scrum Master Experience with/using Relational Databases, SQL Experience with the Atlassian Tool Suite: Bitbucket, Jira, Confluence, Crucible/Fish-eye Familiarity with/using/deploying to Cloud technology: Azure and/or AWS Familiarity with/using Containers in Docker and/or Kubernetes Experience with/using and/or managing DevOps tools: Ansible, Terraform, Chef, or Puppet Previous in-depth mission planning domain knowledge of program software design and code Certified ScrumMaster (CSM ) or Professional Scrum Master (PSM ) certification Experience working with requirements in DOORS. Demonstrated ability to implement process improvements, streamline activities, and develop efficiencies. Strong interpersonal and analytic skills; Works well in a team-environment Experience with Joint Mission Planning System (JMPS) Framework (FW) Exposure to Infrastructure as Code (IaC) development Experience with Air Force mission planning CompTIA Security+ Certification Active Top-Secret Clearance (adjudicated within the last 5 years) Current SCI/SAP access Primary Level Salary Range: $91,800.00 - $137,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
11/02/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Defense Systems (NGDS) is looking for a Software Engineer based out of Hollywood, MD (St. Mary's County). Our Team works on state-of-the-art Mission Planning systems. This is a role in a large program that will support the full software product lifecycle in an Agile Scrum framework: requirement definition, estimation, implementation, unit testing, integration testing, SW/HW integration, test documentation, supporting test events, and customer support. The ideal candidate will be a cross-functional team player, willing to take on challenges, that collaborates with internal and external teams and that is driven to provide solutions to internal and external customers. Responsibilities Include: Design, develop, document, test and debug applications software and systems that contain logical and mathematical solutions while ensuring software standards are met Maintain and improve the software CI/CD pipelines to enable fast, bug free delivery of critical business software to production Set up and deploy Development, Test, and Build environments Install, test, and verify software products Provide support for the software build and installation Work within a Cross-Functional scrum to develop high-priority mission planning features Understand third-party software and hardware peripherals to support implementation of software interfaces and support integration Define and develop test approaches for new software and system capabilities Compile data and define changes required in testing procedures or new testing requirements Perform frequent Smoke Testing and frequent Acceptance Testing on SW builds Resolve technical issues within a scrum, across scrums, and with the support of other functional roles Interface on a technical level with the customer Support authoring and development of contract deliverable documentation that support deliverable software products and test events Help define automated test strategies Support the Agile Framework as a Scrum Master, when required All work must be performed on-site in Hollywood, MD Software Engineer Basic Qualifications: Bachelor's degree in STEM and a minimum of 2 years of relevant (Computer Science, etc.) experience, or 0 years of experience with a Master's degree (Computer Science, etc.). Relevant (Computer Science, etc.) years of experience in lieu of degree may be considered Current DoD Secret Clearance (adjudicated within the last 5 years), with ability to obtain a Top-Secret clearance and /or Special Access Program (SAP) clearances Experience with/using Agile Methodology and Continuous Integration (CI) / Continuous Deployment (CD) Tools (Bamboo, Jenkins) and Practices Proficiency in C# and/or Java and Object-Oriented Software Design paradigms Experience with Microsoft Windows technologies Test procedure development and maintenance Experience supporting/coordinating formal test events Experience with one or more of the following scripts: yaml, Python, PowerShell, Batch, Typescript Automated test script or test procedure development and maintenance for software testing Experience with automated testing and test software such as TestComplete 4 A functional understanding of how revision control systems (e.g., BitBucket, git, CVS, etc.) are used Hands-on system troubleshooting skills Preferred (Nice to Have) Qualifications: Proficiency in C#, .NET Framework Experience with Windows Presentation Foundation (WPF) and Microsoft Windows-based Applications Experience with Microservice development and service communication protocols such as gRPC and/or REST Experience with Software Design Patterns Experience as a Scrum Master Experience with/using Relational Databases, SQL Experience with the Atlassian Tool Suite: Bitbucket, Jira, Confluence, Crucible/Fish-eye Familiarity with/using/deploying to Cloud technology: Azure and/or AWS Familiarity with/using Containers in Docker and/or Kubernetes Experience with/using and/or managing DevOps tools: Ansible, Terraform, Chef, or Puppet Previous in-depth mission planning domain knowledge of program software design and code Certified ScrumMaster (CSM ) or Professional Scrum Master (PSM ) certification Experience working with requirements in DOORS. Demonstrated ability to implement process improvements, streamline activities, and develop efficiencies. Strong interpersonal and analytic skills; Works well in a team-environment Experience with Joint Mission Planning System (JMPS) Framework (FW) Exposure to Infrastructure as Code (IaC) development Experience with Air Force mission planning CompTIA Security+ Certification Active Top-Secret Clearance (adjudicated within the last 5 years) Current SCI/SAP access Primary Level Salary Range: $91,800.00 - $137,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Northrop Grumman Defense Systems currently has an opening for a Systems Engineer. This position will be in Roy, UT and will support the Sentinel (GBSD) program. Northrop Grumman supports the Air Force's sustainment, development, production and deployment of hardware and system modifications for Intercontinental Ballistic Missile (ICBM) Ground and Airborne Launch Control Systems, Launch Facilities and associated infrastructure. What you will get to do: The selected engineer will be responsible for: Model-Based Systems Engineering (MBSE), development of requirements and multiple system engineering models Coordination & collaboration with the System Engineering and Command & Launch Segment System Engineering Teams Supporting system, segment, element and unit level trade studies Definition of high-level functional and performance requirements and verification methods, subsequent analysis, decomposition, and derivation of requirements, allocation of those lower-level requirements to physical and functional architectural elements, and tracking them through design, verification, integration, and operational validation Supporting a team of engineers to create, mature and present comprehensive and cohesive technical charts representative of the appropriate level of maturation for any given milestone meeting and demonstrating team readiness in relation to achieving the milestone entrance and exit criteria Identifying required contractual deliverables and non-contractual documentation and driving corresponding updates to closure Coordinating and collaborating with diverse engineering design teams to assist in managing the technical baseline Basic Qualifications: Bachelor of Science degree in STEM (Science, Technology, Engineering and Math) discipline and 2 years of experience; 0 years with master's degree. Must be a US Citizen with an active DoD Secret Clearance with an investigation date within the last 6 years Must be able to be successfully screened for Enhanced Security Clearances, within a reasonable amount of time as determined by the company to meet its business needs 1+ year of experience developing or reviewing requirements within DOORS or similar tool 1+ year of experience in ICBM (MMIII or Sentinel) OR complex aerospace/defense systems 1+ year of experience in team environments with leadership responsibilities 1+ year of experience creating, updating, and maintaining system performance documentation Preferred Qualifications: Understanding of the Systems Engineering V-Model Experience with requirements management tools such as DOORS Experience in SysML or UPDM modeling languages Proficiency with the DoDAF, UAF, or other modeling frameworks Experience modeling with Cameo Enterprise Architecture, MagicDraw (No Magic, Inc.) or other architecture modeling tools Experience using tools to model large systems with multiple developers Experience in Software and/or Hardware design Experience in documenting Interface Control Documents, Interface Requirement Specifications, and Interface Description Documents Experience in the military aerospace development environment Experience with weapon systems Experience exporting documentation out of a model-based environment Experience with Agile Development Experience with ICBM weapon system sustainment engineering and integration Experience with complex system development on large programs Position Benefits: As a full-time employee of Northrop Grumman, you are eligible for our robust benefits package including: Medical, Dental & Vision coverage 401k Educational Assistance Life Insurance Employee Assistance Programs & Work/Life Solutions Paid Time Off Health & Wellness Resources Employee Discounts This position's standard work schedule is 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. Primary Level Salary Range: $79,300.00 - $118,900.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
11/02/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Northrop Grumman Defense Systems currently has an opening for a Systems Engineer. This position will be in Roy, UT and will support the Sentinel (GBSD) program. Northrop Grumman supports the Air Force's sustainment, development, production and deployment of hardware and system modifications for Intercontinental Ballistic Missile (ICBM) Ground and Airborne Launch Control Systems, Launch Facilities and associated infrastructure. What you will get to do: The selected engineer will be responsible for: Model-Based Systems Engineering (MBSE), development of requirements and multiple system engineering models Coordination & collaboration with the System Engineering and Command & Launch Segment System Engineering Teams Supporting system, segment, element and unit level trade studies Definition of high-level functional and performance requirements and verification methods, subsequent analysis, decomposition, and derivation of requirements, allocation of those lower-level requirements to physical and functional architectural elements, and tracking them through design, verification, integration, and operational validation Supporting a team of engineers to create, mature and present comprehensive and cohesive technical charts representative of the appropriate level of maturation for any given milestone meeting and demonstrating team readiness in relation to achieving the milestone entrance and exit criteria Identifying required contractual deliverables and non-contractual documentation and driving corresponding updates to closure Coordinating and collaborating with diverse engineering design teams to assist in managing the technical baseline Basic Qualifications: Bachelor of Science degree in STEM (Science, Technology, Engineering and Math) discipline and 2 years of experience; 0 years with master's degree. Must be a US Citizen with an active DoD Secret Clearance with an investigation date within the last 6 years Must be able to be successfully screened for Enhanced Security Clearances, within a reasonable amount of time as determined by the company to meet its business needs 1+ year of experience developing or reviewing requirements within DOORS or similar tool 1+ year of experience in ICBM (MMIII or Sentinel) OR complex aerospace/defense systems 1+ year of experience in team environments with leadership responsibilities 1+ year of experience creating, updating, and maintaining system performance documentation Preferred Qualifications: Understanding of the Systems Engineering V-Model Experience with requirements management tools such as DOORS Experience in SysML or UPDM modeling languages Proficiency with the DoDAF, UAF, or other modeling frameworks Experience modeling with Cameo Enterprise Architecture, MagicDraw (No Magic, Inc.) or other architecture modeling tools Experience using tools to model large systems with multiple developers Experience in Software and/or Hardware design Experience in documenting Interface Control Documents, Interface Requirement Specifications, and Interface Description Documents Experience in the military aerospace development environment Experience with weapon systems Experience exporting documentation out of a model-based environment Experience with Agile Development Experience with ICBM weapon system sustainment engineering and integration Experience with complex system development on large programs Position Benefits: As a full-time employee of Northrop Grumman, you are eligible for our robust benefits package including: Medical, Dental & Vision coverage 401k Educational Assistance Life Insurance Employee Assistance Programs & Work/Life Solutions Paid Time Off Health & Wellness Resources Employee Discounts This position's standard work schedule is 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. Primary Level Salary Range: $79,300.00 - $118,900.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Job Description Job Description About Client: The client is a leading national provider of operations, maintenance, and engineering services for critical telecom and renewable energy infrastructure. The company supports wireless and fiber networks, data centers, wind and solar energy systems, EV charging infrastructure, and energy storage solutions. With a strong focus on safety, quality, and efficiency, it operates across the U.S., maintaining thousands of cell sites, renewable energy assets, and power systems. The company is committed to diversity and inclusion, providing equal employment opportunities while ensuring reliable and sustainable infrastructure services. Rate Range: $25-$35/Hr. Job Description: We are seeking a Data Center Technician to support the installation, maintenance, and troubleshooting of data center infrastructure. The ideal candidate will have experience with hardware deployments, cabling, server installations, and basic network troubleshooting in a fast-paced data center environment. Responsibilities: Install, rack, stack, and decommission servers, network devices, and related hardware. Perform structured cabling, cable management, labeling, and documentation. Troubleshoot hardware issues including servers, storage devices, and networking equipment. Replace failed components such as hard drives, memory, power supplies, and network cards. Monitor data center operations and respond to incidents promptly. Perform preventive maintenance and routine inspections. Support hardware upgrades, migrations, and deployments. Maintain accurate records of assets, tickets, and work completed. Follow data center safety, security, and operational procedures. Coordinate with remote engineering and operations teams. Required Qualifications: 1 3 years of experience in a data center, IT support, or infrastructure environment. Knowledge of server hardware, storage systems, and networking fundamentals. Experience with rack-and-stack activities and cable management. Familiarity with Windows and Linux operating systems. Ability to use ticketing systems and document work performed. Strong troubleshooting and problem-solving skills. Ability to lift up to 50 lbs and work in data center environments. Preferred Qualifications: CompTIA A , Network , Server , or similar certifications. Experience with Cisco, Dell, HPE, Lenovo, or other enterprise hardware. Knowledge of fiber optics and structured cabling standards. Experience supporting cloud or hyperscale data center environments. Non-benefitted (other than those mandated under state or federal law).Please note that this position does not include paid time off benefits. ApTask offers subsidized insurance coverage to our employees. About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at . Applicant Consent: By submitting your application, you agree to ApTask's () Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at or . Message frequency may vary. Msg & data rates may apply.
11/02/2026
Full time
Job Description Job Description About Client: The client is a leading national provider of operations, maintenance, and engineering services for critical telecom and renewable energy infrastructure. The company supports wireless and fiber networks, data centers, wind and solar energy systems, EV charging infrastructure, and energy storage solutions. With a strong focus on safety, quality, and efficiency, it operates across the U.S., maintaining thousands of cell sites, renewable energy assets, and power systems. The company is committed to diversity and inclusion, providing equal employment opportunities while ensuring reliable and sustainable infrastructure services. Rate Range: $25-$35/Hr. Job Description: We are seeking a Data Center Technician to support the installation, maintenance, and troubleshooting of data center infrastructure. The ideal candidate will have experience with hardware deployments, cabling, server installations, and basic network troubleshooting in a fast-paced data center environment. Responsibilities: Install, rack, stack, and decommission servers, network devices, and related hardware. Perform structured cabling, cable management, labeling, and documentation. Troubleshoot hardware issues including servers, storage devices, and networking equipment. Replace failed components such as hard drives, memory, power supplies, and network cards. Monitor data center operations and respond to incidents promptly. Perform preventive maintenance and routine inspections. Support hardware upgrades, migrations, and deployments. Maintain accurate records of assets, tickets, and work completed. Follow data center safety, security, and operational procedures. Coordinate with remote engineering and operations teams. Required Qualifications: 1 3 years of experience in a data center, IT support, or infrastructure environment. Knowledge of server hardware, storage systems, and networking fundamentals. Experience with rack-and-stack activities and cable management. Familiarity with Windows and Linux operating systems. Ability to use ticketing systems and document work performed. Strong troubleshooting and problem-solving skills. Ability to lift up to 50 lbs and work in data center environments. Preferred Qualifications: CompTIA A , Network , Server , or similar certifications. Experience with Cisco, Dell, HPE, Lenovo, or other enterprise hardware. Knowledge of fiber optics and structured cabling standards. Experience supporting cloud or hyperscale data center environments. Non-benefitted (other than those mandated under state or federal law).Please note that this position does not include paid time off benefits. ApTask offers subsidized insurance coverage to our employees. About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at . Applicant Consent: By submitting your application, you agree to ApTask's () Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at or . Message frequency may vary. Msg & data rates may apply.
Job Description Job Description Title: Data Center Technician Location: Tulsa OK Duration: Direct Hire Compensation: $60k - 75k Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Data Center Technician Our client is seeking a highly skilled and experienced Data Center Technician to keep our global fleet of GPU and CPU servers running at hyperscale performance while we expand into new edge regions worldwide. The ideal candidate is a hands-on, self-driven professional with at least four years racking, cabling, debugging, and upgrading thousands of servers and switches in mission-critical colocation facilities, who can thrive under SLAs of 99.99%+ uptime and stay calm during incident response. This high-impact role entails end-to-end deployment and care of GPU-dense, liquid-cooled infrastructure-rack-and-stacking, cabling, swift hardware triage, warranty coordination, spare-parts ownership, and rapid escalation-while operating non-stop in a 24 7 environment. This is your opportunity to join our fast-growing team and leave your mark on the future of Cloud Infrastructure. Key Responsibilities Installing and performing on-going maintenance on servers and network equipment. Including rack & stack of servers and switches, cabling, and physical configuration of devices. Responding to reported server, network, and infrastructure issues. Work with facility staff to ensure that power, cooling, and all other facility provided services are working properly; coordinate any maintenance, and ensure that any outages are addressed and escalated accordingly. Work through assigned tickets and work requests effectively, performs diagnosis and repairs to hardware. Replacement of server components such as CPU, memory, drives, motherboards, and network cables. Work with vendor warranty technicians to ensure that any warranty issues are resolved promptly and properly. Proactively identify issues and areas to approve efficiency and develop plans to resolve. Setup, maintain, and document spare parts inventory. Collaborating with cross-functional teams to improve deployment efficiency, automation, and monitoring. Escalating issues as needed to ensure prompt resolution by assisting system admins in debugging network, hardware, and Linux OS-related issues. Qualifications Experience working in a datacenter as a technician or similar role installing, configuring, and troubleshooting server and network equipment. Experience with large scale network and server deployments. Firm understanding of GPU hardware and liquid cooled rack solutions. Ability to work independently to manage projects within the facility. Firm understanding of servers, network equipment, and datacenter facility services like power, cooling, and cross connections to service providers. Experience with troubleshooting, building, repairing, and upgrading servers. Excellent verbal and written communication skills, collaborative nature, and a friendly can-do attitude. Ability to work in a fast-paced, high-availability environment and respond to incidents proactively. A strong desire and aptitude for solving problems. Ability to logically analyze and solve problems. Physical ability to stand for extended periods and lift up to 50 lbbs. About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at -TELECOM
11/02/2026
Full time
Job Description Job Description Title: Data Center Technician Location: Tulsa OK Duration: Direct Hire Compensation: $60k - 75k Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Data Center Technician Our client is seeking a highly skilled and experienced Data Center Technician to keep our global fleet of GPU and CPU servers running at hyperscale performance while we expand into new edge regions worldwide. The ideal candidate is a hands-on, self-driven professional with at least four years racking, cabling, debugging, and upgrading thousands of servers and switches in mission-critical colocation facilities, who can thrive under SLAs of 99.99%+ uptime and stay calm during incident response. This high-impact role entails end-to-end deployment and care of GPU-dense, liquid-cooled infrastructure-rack-and-stacking, cabling, swift hardware triage, warranty coordination, spare-parts ownership, and rapid escalation-while operating non-stop in a 24 7 environment. This is your opportunity to join our fast-growing team and leave your mark on the future of Cloud Infrastructure. Key Responsibilities Installing and performing on-going maintenance on servers and network equipment. Including rack & stack of servers and switches, cabling, and physical configuration of devices. Responding to reported server, network, and infrastructure issues. Work with facility staff to ensure that power, cooling, and all other facility provided services are working properly; coordinate any maintenance, and ensure that any outages are addressed and escalated accordingly. Work through assigned tickets and work requests effectively, performs diagnosis and repairs to hardware. Replacement of server components such as CPU, memory, drives, motherboards, and network cables. Work with vendor warranty technicians to ensure that any warranty issues are resolved promptly and properly. Proactively identify issues and areas to approve efficiency and develop plans to resolve. Setup, maintain, and document spare parts inventory. Collaborating with cross-functional teams to improve deployment efficiency, automation, and monitoring. Escalating issues as needed to ensure prompt resolution by assisting system admins in debugging network, hardware, and Linux OS-related issues. Qualifications Experience working in a datacenter as a technician or similar role installing, configuring, and troubleshooting server and network equipment. Experience with large scale network and server deployments. Firm understanding of GPU hardware and liquid cooled rack solutions. Ability to work independently to manage projects within the facility. Firm understanding of servers, network equipment, and datacenter facility services like power, cooling, and cross connections to service providers. Experience with troubleshooting, building, repairing, and upgrading servers. Excellent verbal and written communication skills, collaborative nature, and a friendly can-do attitude. Ability to work in a fast-paced, high-availability environment and respond to incidents proactively. A strong desire and aptitude for solving problems. Ability to logically analyze and solve problems. Physical ability to stand for extended periods and lift up to 50 lbbs. About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at -TELECOM
Job Description Job Description Rightech is working with a national data center construction systems integrator who is looking to build a 30 person team consisting of both entry level and experienced Data Center Technicians in Red Oak, TX. We are building six teams of five technicians that consist of the following: - Lead Technician - Data Center Technician II - Data Center Technician I / Apprentice This is a large scale new construction build. The role will support the installation of structured cabling (fiber and copper) and equipment in critical data center environments. Technicians will work on projects involving fiber, cable management, equipment installation, and safety compliance. Job Responsibilities: Cable infrastructure and Fiber rough in. Cable management (dressing and labeling). Install fiber tray, ladder rack Infrastructure installs (cable management, fiber tray systems, ladder racks, power trays). Material receiving and hardware assembly. Read and follow blueprints set for installation. Follow written and oral communication displaying professionalism with colleagues and management. Follow safety guidelines and protocols (Proper PPE, clean up jobsite, OSHA). Job Requirements: High School Diploma or GED equivalency. 0-5 years of Data Center Technician experience. Active OSHA 10 preferred. Physical Requirement: Must be able to work on a ladder and/or scissor lift, in confined spaces, lift to 50 pounds, and move up to 75 pounds. Ability to work on your feet for entire shift. Tools: Basic Hand Tools: screwdriver (multi-Bit), tape measure, snips, pliers (needle nose and channel locks), punch down tool, flashlight, electric tape PPE: Retention Style Hard hat, Level IV Cut Resistant Work Gloves, Safety Glasses, Level IV Safety vest, and work boots (steel toe or composite toe).
11/02/2026
Full time
Job Description Job Description Rightech is working with a national data center construction systems integrator who is looking to build a 30 person team consisting of both entry level and experienced Data Center Technicians in Red Oak, TX. We are building six teams of five technicians that consist of the following: - Lead Technician - Data Center Technician II - Data Center Technician I / Apprentice This is a large scale new construction build. The role will support the installation of structured cabling (fiber and copper) and equipment in critical data center environments. Technicians will work on projects involving fiber, cable management, equipment installation, and safety compliance. Job Responsibilities: Cable infrastructure and Fiber rough in. Cable management (dressing and labeling). Install fiber tray, ladder rack Infrastructure installs (cable management, fiber tray systems, ladder racks, power trays). Material receiving and hardware assembly. Read and follow blueprints set for installation. Follow written and oral communication displaying professionalism with colleagues and management. Follow safety guidelines and protocols (Proper PPE, clean up jobsite, OSHA). Job Requirements: High School Diploma or GED equivalency. 0-5 years of Data Center Technician experience. Active OSHA 10 preferred. Physical Requirement: Must be able to work on a ladder and/or scissor lift, in confined spaces, lift to 50 pounds, and move up to 75 pounds. Ability to work on your feet for entire shift. Tools: Basic Hand Tools: screwdriver (multi-Bit), tape measure, snips, pliers (needle nose and channel locks), punch down tool, flashlight, electric tape PPE: Retention Style Hard hat, Level IV Cut Resistant Work Gloves, Safety Glasses, Level IV Safety vest, and work boots (steel toe or composite toe).
Job Description Job Description Datacenter Technician Location: Ashburn, VA (Onsite) Job Type: Contract Job Description: Key Responsibilities: 1. Decommissioning Hosts: 1. Safely remove servers and other equipment from racks. 2. Document hardware decommissioning processes and update asset records using the organization's designated asset management and tracking systems. 3. Ensure compliance with data security protocols during hardware disposal. 2. NVME Installations: 1. Install NVME drives in servers and ensure proper configuration. 2. Perform diagnostic testing using basic Linux commands to verify successful installations. 3. ePDU Configuration: 1. Configure ePDUs by setting up IP addresses and ensuring MAC addresses and model numbers are accurately reflected in the Asset Management system. 2. Install ePDUs in racks and verify proper power distribution and load balancing. 3. Perform functionality tests and update records with accurate configuration details. 4. Racking and Cabling: 1. Rack switches and secure equipment following data center best practices. 2. Run and manage fiber and network cabling to ensure clean and efficient connectivity. 5. Documentation and Reporting: 1. Maintain accurate records of installations, configurations, and decommissions. 2. Provide status updates to project leads and complete daily task reports. 3. Must be familiar with a ticketing system and monitoring a queue. 4. Execute work within a timely manner. Qualifications: Proven experience in data center operations or a related field. Hands-on experience with hardware installation, decommissioning, and cabling. Familiarity with NVME storage, ePDUs, and network switch configurations. Knowledge of fiber optic cabling and connectivity standards. Strong attention to detail and ability to follow technical documentation. Ability to lift and move heavy equipment (up to 50 lbs). Preferred Skills: Basic understanding of networking concepts. Familiarity with IT asset management tools and inventory systems. Certifications such as CompTIA Server , Cisco CCNA, or equivalent are a plus. At least 5 years of experience in data centers performing in-depth analysis on servers. Ability to understand and communicate technical functions of basic server operations. Ability to maintain a professional relationship with customers. Work Conditions: On-site position requiring work in a data center environment. Adherence to safety protocols, compliance standards, Customer Security Standards, and use of personal protective equipment (PPE)
11/02/2026
Full time
Job Description Job Description Datacenter Technician Location: Ashburn, VA (Onsite) Job Type: Contract Job Description: Key Responsibilities: 1. Decommissioning Hosts: 1. Safely remove servers and other equipment from racks. 2. Document hardware decommissioning processes and update asset records using the organization's designated asset management and tracking systems. 3. Ensure compliance with data security protocols during hardware disposal. 2. NVME Installations: 1. Install NVME drives in servers and ensure proper configuration. 2. Perform diagnostic testing using basic Linux commands to verify successful installations. 3. ePDU Configuration: 1. Configure ePDUs by setting up IP addresses and ensuring MAC addresses and model numbers are accurately reflected in the Asset Management system. 2. Install ePDUs in racks and verify proper power distribution and load balancing. 3. Perform functionality tests and update records with accurate configuration details. 4. Racking and Cabling: 1. Rack switches and secure equipment following data center best practices. 2. Run and manage fiber and network cabling to ensure clean and efficient connectivity. 5. Documentation and Reporting: 1. Maintain accurate records of installations, configurations, and decommissions. 2. Provide status updates to project leads and complete daily task reports. 3. Must be familiar with a ticketing system and monitoring a queue. 4. Execute work within a timely manner. Qualifications: Proven experience in data center operations or a related field. Hands-on experience with hardware installation, decommissioning, and cabling. Familiarity with NVME storage, ePDUs, and network switch configurations. Knowledge of fiber optic cabling and connectivity standards. Strong attention to detail and ability to follow technical documentation. Ability to lift and move heavy equipment (up to 50 lbs). Preferred Skills: Basic understanding of networking concepts. Familiarity with IT asset management tools and inventory systems. Certifications such as CompTIA Server , Cisco CCNA, or equivalent are a plus. At least 5 years of experience in data centers performing in-depth analysis on servers. Ability to understand and communicate technical functions of basic server operations. Ability to maintain a professional relationship with customers. Work Conditions: On-site position requiring work in a data center environment. Adherence to safety protocols, compliance standards, Customer Security Standards, and use of personal protective equipment (PPE)
Job Description Job Description Our client, a state organization, is looking to hire a Principal Data Engineer for Alhambra, CA - Remote opportunity . Apply today for consideration! Job Title: Principal Data Engineer Duration: 12+ months - Contract Location: Alhambra, CA - Remote Pay rate range: $100 - $104 per hour (DOE) Responsibilities: Design, develop, and maintain scalable data pipelines using Python and Databricks. Build and optimize Databricks Medallion Lakehouse architecture to support enterprise data integration and analytics. Implement data governance, data quality, and data management best practices. Develop data models and manage Azure resources to support reliable data operations. Automate Azure data resources using DataOps practices and mentor junior data engineers and database administrators. Qualifications: 5+ years of professional experience with Databricks, data engineering, data integration, data warehousing, and cloud computing. 5 years of experience developing data pipelines using Python. 3+ years of experience designing and developing Databricks Medallion Lakehouse architecture, with expertise in data governance and data quality. Experience with data modeling, Azure resource management, and DataOps automation; bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent qualifying experience.
11/02/2026
Full time
Job Description Job Description Our client, a state organization, is looking to hire a Principal Data Engineer for Alhambra, CA - Remote opportunity . Apply today for consideration! Job Title: Principal Data Engineer Duration: 12+ months - Contract Location: Alhambra, CA - Remote Pay rate range: $100 - $104 per hour (DOE) Responsibilities: Design, develop, and maintain scalable data pipelines using Python and Databricks. Build and optimize Databricks Medallion Lakehouse architecture to support enterprise data integration and analytics. Implement data governance, data quality, and data management best practices. Develop data models and manage Azure resources to support reliable data operations. Automate Azure data resources using DataOps practices and mentor junior data engineers and database administrators. Qualifications: 5+ years of professional experience with Databricks, data engineering, data integration, data warehousing, and cloud computing. 5 years of experience developing data pipelines using Python. 3+ years of experience designing and developing Databricks Medallion Lakehouse architecture, with expertise in data governance and data quality. Experience with data modeling, Azure resource management, and DataOps automation; bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent qualifying experience.
Job Description Job Description What are the top 3 skills required for this role? 1. Cloud Network Security Engineering 2. Infrastructure-as-Code (IaC) & Automation 3. Enterprise Network & SaaS Security Job Description/ Responsibilities Network Security Cloud Engineering Network Security Cloud Engineering role is focused on hands-on cloud network security engineering, including secure cloud connectivity, firewall and policy automation, cloud-native network controls, and operational support for enterprise-scale hybrid environments. The role directly supports enterprise network security capabilities that protect cloud infrastructure and applications. The successful candidate will work closely with Information Security, Cloud Engineering, Enterprise Architecture, Network Engineering, Cloud Operations, and application development teams to design and implement cloud network security solutions. This position requires a highly motivated engineer with strong analytical and problem-solving skills, the ability to manage multiple initiatives simultaneously, and a passion for automation, Infrastructure-as-Code, and cloud-native networking technologies Responsibilities • Design, develop, and implement cloud network security capabilities across public and private cloud platforms. • Engineer and automate network security controls including on-premises firewalls, cloud firewalls, security groups, network ACLs, and cloud-native security services. • Build and maintain Infrastructure-as-Code (Terraform, CloudFormation, or similar) to deploy secure cloud networking environments. • Collaborate with Cloud Engineering, Network Engineering, and Security Architecture teams to implement secure hybrid connectivity between on-premises and cloud environments. • Support secure connectivity solutions including VPN, Direct Connect, ExpressRoute, Transit Gateway, VPC/VNet peering, Private Link, and service mesh technologies. • Conduct proof-of-concept evaluations of emerging cloud networking and security technologies. • Partner with Security Operations and Incident Response teams to improve network visibility, logging, monitoring, and threat detection. • Participate in architecture reviews to ensure cloud applications and infrastructure comply with enterprise security standards. • Identify opportunities to improve operational efficiency through automation and security orchestration. Required Skills & Experience • 5 years of experience in Network Security, Cloud Security, or Infrastructure Security engineering. • Experience designing and securing networking in AWS, Azure, Google, or Oracle Cloud Platform. • Strong understanding of core cloud-native networking and security concepts, including VPCs and VNets, routing, segmentation, load balancing, private connectivity, identity-aware access, encryption, and network policy enforcement. • Experience leveraging AI tools to enhance productivity, automate engineering tasks, and accelerate the delivery of secure cloud networking solutions. • Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation. • Familiarity with security monitoring, SIEM integration, logging, and network telemetry. • Familiarity with enterprise network security technologies such as next-generation firewalls, web application firewalls, secure web gateways, DNS security, IDS/IPS, network segmentation, and zero trust network access. • Experience designing, securing, and supporting Software-as-a-Service (SaaS) environments and integrations, including secure connectivity, identity-aware access, API security, and SaaS security best practices. • Familiarity with SaaS security solutions such as CASB, Secure Service Edge (SSE), Secure Access Service Edge (SASE), and Zero Trust Network Access (ZTNA) to protect enterprise users and cloud-based applications. • Experience integrating SaaS platforms with enterprise identity providers (Azure AD/Entra ID, Okta, Ping Identity, or similar) using SAML, OAuth, and OpenID Connect (OIDC). • Experience securing access to enterprise SaaS applications through conditional access policies, network segmentation, and cloud-native security controls. • Experience supporting large-scale enterprise cloud migrations. • Education & Certifications • Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, or a related technical discipline, or equivalent experience. • Preferred Certifications Include: • AWS Certified Security - Specialty • AWS Advanced Networking - Specialty • Azure Network Engineer Associate • Azure Security Engineer Associate • Google Professional Cloud Network Engineer • Google Professional Cloud Security Engineer • CCNP Security or equivalent
11/02/2026
Full time
Job Description Job Description What are the top 3 skills required for this role? 1. Cloud Network Security Engineering 2. Infrastructure-as-Code (IaC) & Automation 3. Enterprise Network & SaaS Security Job Description/ Responsibilities Network Security Cloud Engineering Network Security Cloud Engineering role is focused on hands-on cloud network security engineering, including secure cloud connectivity, firewall and policy automation, cloud-native network controls, and operational support for enterprise-scale hybrid environments. The role directly supports enterprise network security capabilities that protect cloud infrastructure and applications. The successful candidate will work closely with Information Security, Cloud Engineering, Enterprise Architecture, Network Engineering, Cloud Operations, and application development teams to design and implement cloud network security solutions. This position requires a highly motivated engineer with strong analytical and problem-solving skills, the ability to manage multiple initiatives simultaneously, and a passion for automation, Infrastructure-as-Code, and cloud-native networking technologies Responsibilities • Design, develop, and implement cloud network security capabilities across public and private cloud platforms. • Engineer and automate network security controls including on-premises firewalls, cloud firewalls, security groups, network ACLs, and cloud-native security services. • Build and maintain Infrastructure-as-Code (Terraform, CloudFormation, or similar) to deploy secure cloud networking environments. • Collaborate with Cloud Engineering, Network Engineering, and Security Architecture teams to implement secure hybrid connectivity between on-premises and cloud environments. • Support secure connectivity solutions including VPN, Direct Connect, ExpressRoute, Transit Gateway, VPC/VNet peering, Private Link, and service mesh technologies. • Conduct proof-of-concept evaluations of emerging cloud networking and security technologies. • Partner with Security Operations and Incident Response teams to improve network visibility, logging, monitoring, and threat detection. • Participate in architecture reviews to ensure cloud applications and infrastructure comply with enterprise security standards. • Identify opportunities to improve operational efficiency through automation and security orchestration. Required Skills & Experience • 5 years of experience in Network Security, Cloud Security, or Infrastructure Security engineering. • Experience designing and securing networking in AWS, Azure, Google, or Oracle Cloud Platform. • Strong understanding of core cloud-native networking and security concepts, including VPCs and VNets, routing, segmentation, load balancing, private connectivity, identity-aware access, encryption, and network policy enforcement. • Experience leveraging AI tools to enhance productivity, automate engineering tasks, and accelerate the delivery of secure cloud networking solutions. • Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation. • Familiarity with security monitoring, SIEM integration, logging, and network telemetry. • Familiarity with enterprise network security technologies such as next-generation firewalls, web application firewalls, secure web gateways, DNS security, IDS/IPS, network segmentation, and zero trust network access. • Experience designing, securing, and supporting Software-as-a-Service (SaaS) environments and integrations, including secure connectivity, identity-aware access, API security, and SaaS security best practices. • Familiarity with SaaS security solutions such as CASB, Secure Service Edge (SSE), Secure Access Service Edge (SASE), and Zero Trust Network Access (ZTNA) to protect enterprise users and cloud-based applications. • Experience integrating SaaS platforms with enterprise identity providers (Azure AD/Entra ID, Okta, Ping Identity, or similar) using SAML, OAuth, and OpenID Connect (OIDC). • Experience securing access to enterprise SaaS applications through conditional access policies, network segmentation, and cloud-native security controls. • Experience supporting large-scale enterprise cloud migrations. • Education & Certifications • Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, or a related technical discipline, or equivalent experience. • Preferred Certifications Include: • AWS Certified Security - Specialty • AWS Advanced Networking - Specialty • Azure Network Engineer Associate • Azure Security Engineer Associate • Google Professional Cloud Network Engineer • Google Professional Cloud Security Engineer • CCNP Security or equivalent
Job Description Job Description Role- DC technician Rate- $38/hr Location- Ashburn, VA Job Summary: We are seeking a skilled and detail-oriented Data Center Technician to join our team for a project-based role. The technician will perform a variety of tasks, including decommissioning hosts, installing NVME drives, configuring ePDUs, racking switches, and running fiber in our data centers. This position requires hands-on experience in data center operations and a commitment to maintaining high-quality standards in a fast-paced environment. Key Responsibilities: Decommissioning Hosts: Safely remove servers and other equipment from racks. Document hardware decommissioning processes and update asset records using the organization's designated asset management and tracking systems. Ensure compliance with data security protocols during hardware disposal. NVME Installations: Install NVME drives in servers and ensure proper configuration. Perform diagnostic testing using basic Linux commands to verify successful installations. ePDU Configuration: Configure ePDUs by setting up IP addresses and ensuring MAC addresses and model numbers are accurately reflected in the Asset Management system. Install ePDUs in racks and verify proper power distribution and load balancing. Perform functionality tests and update records with accurate configuration details. Racking and Cabling: Rack switches and secure equipment following data center best practices. Run and manage fiber and network cabling to ensure clean and efficient connectivity. Documentation and Reporting: Maintain accurate records of installations, configurations, and decommissions. Provide status updates to project leads and complete daily task reports. Must be familiar with a ticketing system and monitoring a queue. Execute work within a timely manner. Qualifications: Proven experience in data center operations or a related field. Hands-on experience with hardware installation, decommissioning, and cabling. Familiarity with NVME storage, ePDUs, and network switch configurations. Knowledge of fiber optic cabling and connectivity standards. Strong attention to detail and ability to follow technical documentation. Ability to lift and move heavy equipment (up to 50 lbs). Preferred Skills: Basic understanding of networking concepts. Familiarity with IT asset management tools and inventory systems. Certifications such as CompTIA Server , Cisco CCNA, or equivalent are a plus. At least 5 years of experience in data centers performing in-depth analysis on servers. Ability to understand and communicate technical functions of basic server operations. Ability to maintain a professional relationship with customers. Work Conditions: On-site position requiring work in a data center environment. Adherence to safety protocols, compliance standards, Customer Security Standards, and use of personal protective equipment (PPE)
11/02/2026
Full time
Job Description Job Description Role- DC technician Rate- $38/hr Location- Ashburn, VA Job Summary: We are seeking a skilled and detail-oriented Data Center Technician to join our team for a project-based role. The technician will perform a variety of tasks, including decommissioning hosts, installing NVME drives, configuring ePDUs, racking switches, and running fiber in our data centers. This position requires hands-on experience in data center operations and a commitment to maintaining high-quality standards in a fast-paced environment. Key Responsibilities: Decommissioning Hosts: Safely remove servers and other equipment from racks. Document hardware decommissioning processes and update asset records using the organization's designated asset management and tracking systems. Ensure compliance with data security protocols during hardware disposal. NVME Installations: Install NVME drives in servers and ensure proper configuration. Perform diagnostic testing using basic Linux commands to verify successful installations. ePDU Configuration: Configure ePDUs by setting up IP addresses and ensuring MAC addresses and model numbers are accurately reflected in the Asset Management system. Install ePDUs in racks and verify proper power distribution and load balancing. Perform functionality tests and update records with accurate configuration details. Racking and Cabling: Rack switches and secure equipment following data center best practices. Run and manage fiber and network cabling to ensure clean and efficient connectivity. Documentation and Reporting: Maintain accurate records of installations, configurations, and decommissions. Provide status updates to project leads and complete daily task reports. Must be familiar with a ticketing system and monitoring a queue. Execute work within a timely manner. Qualifications: Proven experience in data center operations or a related field. Hands-on experience with hardware installation, decommissioning, and cabling. Familiarity with NVME storage, ePDUs, and network switch configurations. Knowledge of fiber optic cabling and connectivity standards. Strong attention to detail and ability to follow technical documentation. Ability to lift and move heavy equipment (up to 50 lbs). Preferred Skills: Basic understanding of networking concepts. Familiarity with IT asset management tools and inventory systems. Certifications such as CompTIA Server , Cisco CCNA, or equivalent are a plus. At least 5 years of experience in data centers performing in-depth analysis on servers. Ability to understand and communicate technical functions of basic server operations. Ability to maintain a professional relationship with customers. Work Conditions: On-site position requiring work in a data center environment. Adherence to safety protocols, compliance standards, Customer Security Standards, and use of personal protective equipment (PPE)
Job Description Job Description Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Job Title: Datacenter Engineer Location(s): Coral Gables, FL Position Overview Seeking a Datacenter Engineer responsible for installing, maintaining, troubleshooting, and supporting data center hardware, physical infrastructure, structured cabling, and related low-voltage systems. The engineer will support day-to-day operations as well as data center projects, hardware deployments, infrastructure upgrades, migrations, and expansions. The role requires hands-on experience with data center infrastructure, structured copper and fiber cabling, rack and cable management, hardware lifecycle activities, and physical infrastructure documentation. Key Responsibilities Install, maintain, troubleshoot, test, label, and document data center hardware and infrastructure. Install and maintain structured cabling, including Cat5e, Cat6, Cat6A, and fiber optic cabling. Perform network cabling, patching, cross-connects, cable routing, rack elevations, cable management, and connectivity validation. Support network, compute, and storage connectivity within data center environments. Coordinate fiber optic installation, splicing, testing, and termination activities with internal teams and external vendors. Understand fiber optic standards, installation practices, testing methodologies, documentation, and deployment processes. Hands-on fiber termination is not required. Support low-voltage infrastructure, including: Network connectivity Environmental monitoring Access control Surveillance systems Other supporting physical data center technologies Monitor environmental conditions such as temperature, humidity, power utilization, and cooling performance. Support compliance with operational standards and service-level objectives. Assist with data center projects involving: Equipment deployments Hardware refreshes Cabling installations Migrations Infrastructure upgrades Facility expansions Perform hardware installation, decommissioning, moves, adds, and changes (MACs) for servers, storage, network equipment, and supporting infrastructure. Maintain accurate rack layouts, cable maps, fiber pathways, patch panel records, network connectivity documentation, asset inventories, and infrastructure change records. Troubleshoot hardware, physical connectivity, structured cabling, and basic operating system/software issues. Apply industry best practices for rack organization, cable management, airflow optimization, and physical infrastructure reliability. Collaborate with Network Engineering, Systems Engineering, Security, Facilities, vendors, and other cross-functional teams. Perform physical work in data center environments, including lifting equipment, installing overhead or underfloor cabling, and working in hot- and cold-aisle environments. Travel to domestic and international locations, including shipyards, offices, ports, and ships, for maintenance and project activities as required. Travel Requirements Up to 25% travel. Travel may include U.S. and international locations. Potential travel to shipyards in Italy and other global locations. May be required to travel and sail with ships for maintenance or project-related activities. Candidate must hold a valid U.S. Passport. Preferred Education Bachelor's degree in one of the following or equivalent practical experience: Computer Science Information Technology Electrical Engineering Computer Engineering Required Experience Minimum 3 years of experience in: Data Center Engineering and Operations IT infrastructure management Structured copper and fiber optic cabling Network cabling and physical connectivity Fiber optic installation, testing, and vendor coordination Low-voltage infrastructure and physical data center systems Rack and cable management Server, storage, and network hardware installation and maintenance Hardware lifecycle management Physical infrastructure documentation Asset management Basic network protocols Network and cabling standards Ideal Candidate Profile The ideal candidate is a hands-on data center infrastructure professional who combines strong physical infrastructure skills with an understanding of networking, structured cabling, hardware lifecycle management, and data center operations. The candidate should be comfortable working in operational data centers, coordinating with vendors and cross-functional engineering teams, and traveling domestically and internationally when required. Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.
11/02/2026
Full time
Job Description Job Description Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Job Title: Datacenter Engineer Location(s): Coral Gables, FL Position Overview Seeking a Datacenter Engineer responsible for installing, maintaining, troubleshooting, and supporting data center hardware, physical infrastructure, structured cabling, and related low-voltage systems. The engineer will support day-to-day operations as well as data center projects, hardware deployments, infrastructure upgrades, migrations, and expansions. The role requires hands-on experience with data center infrastructure, structured copper and fiber cabling, rack and cable management, hardware lifecycle activities, and physical infrastructure documentation. Key Responsibilities Install, maintain, troubleshoot, test, label, and document data center hardware and infrastructure. Install and maintain structured cabling, including Cat5e, Cat6, Cat6A, and fiber optic cabling. Perform network cabling, patching, cross-connects, cable routing, rack elevations, cable management, and connectivity validation. Support network, compute, and storage connectivity within data center environments. Coordinate fiber optic installation, splicing, testing, and termination activities with internal teams and external vendors. Understand fiber optic standards, installation practices, testing methodologies, documentation, and deployment processes. Hands-on fiber termination is not required. Support low-voltage infrastructure, including: Network connectivity Environmental monitoring Access control Surveillance systems Other supporting physical data center technologies Monitor environmental conditions such as temperature, humidity, power utilization, and cooling performance. Support compliance with operational standards and service-level objectives. Assist with data center projects involving: Equipment deployments Hardware refreshes Cabling installations Migrations Infrastructure upgrades Facility expansions Perform hardware installation, decommissioning, moves, adds, and changes (MACs) for servers, storage, network equipment, and supporting infrastructure. Maintain accurate rack layouts, cable maps, fiber pathways, patch panel records, network connectivity documentation, asset inventories, and infrastructure change records. Troubleshoot hardware, physical connectivity, structured cabling, and basic operating system/software issues. Apply industry best practices for rack organization, cable management, airflow optimization, and physical infrastructure reliability. Collaborate with Network Engineering, Systems Engineering, Security, Facilities, vendors, and other cross-functional teams. Perform physical work in data center environments, including lifting equipment, installing overhead or underfloor cabling, and working in hot- and cold-aisle environments. Travel to domestic and international locations, including shipyards, offices, ports, and ships, for maintenance and project activities as required. Travel Requirements Up to 25% travel. Travel may include U.S. and international locations. Potential travel to shipyards in Italy and other global locations. May be required to travel and sail with ships for maintenance or project-related activities. Candidate must hold a valid U.S. Passport. Preferred Education Bachelor's degree in one of the following or equivalent practical experience: Computer Science Information Technology Electrical Engineering Computer Engineering Required Experience Minimum 3 years of experience in: Data Center Engineering and Operations IT infrastructure management Structured copper and fiber optic cabling Network cabling and physical connectivity Fiber optic installation, testing, and vendor coordination Low-voltage infrastructure and physical data center systems Rack and cable management Server, storage, and network hardware installation and maintenance Hardware lifecycle management Physical infrastructure documentation Asset management Basic network protocols Network and cabling standards Ideal Candidate Profile The ideal candidate is a hands-on data center infrastructure professional who combines strong physical infrastructure skills with an understanding of networking, structured cabling, hardware lifecycle management, and data center operations. The candidate should be comfortable working in operational data centers, coordinating with vendors and cross-functional engineering teams, and traveling domestically and internationally when required. Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.
Job Description Job Description Title: Data Center Operations Technician Location: New Albany, OH Contract Duration: 12+ Months Shift: Third Shift - Wednesday Night through Saturday Night (10:30 PM - 9:00 AM ET) Pay Range: $35-40/hr on W2 without benefits Position Overview We are seeking a detail-oriented Data Center Operations Technician to support data center and colocation operations at an enterprise facility in New Albany, Ohio. This role is responsible for coordinating data center maintenance activities, managing incidents and break-fix operations, maintaining accurate documentation, and ensuring that hardware installations, replacements, and decommissioning activities are completed according to established procedures and standards. The ideal candidate will have hands-on experience in data center or infrastructure operations, server hardware troubleshooting, ticketing systems, incident management, and change management. Strong organizational skills, attention to detail, and the ability to work independently during overnight shifts are essential. Key Responsibilities Manage overnight data center operations, scheduled maintenance activities, and approved infrastructure changes. Review change requests, implementation plans, approvals, schedules, and required hardware or parts before executing planned activities. Monitor and coordinate break-fix activities, emergency incidents, and infrastructure support requests. Coordinate and oversee third-party vendors performing hardware installations, decommissioning, and other data center activities. Perform or coordinate server hardware troubleshooting and component replacements, including hard drives, memory modules (DIMMs), and other server components. Maintain detailed documentation of operational activities, including timestamps, hardware changes, implementation steps, and support team handoffs. Create, update, track, and close ServiceNow tickets related to maintenance activities, incidents, and infrastructure changes. Prepare and distribute operational and executive summaries covering completed work, incidents, outstanding issues, and status updates. Coordinate shift handoffs with other operations teams to ensure continuity for ongoing and multi-day activities. Escalate critical incidents and emergencies to management and appropriate technical support teams in a timely manner. Collaborate with data center colleagues, infrastructure teams, vendors, and technical stakeholders across multiple facilities. Ensure all activities comply with operational guidelines, security requirements, change management procedures, and documentation standards. Required Qualifications Experience working in an enterprise data center, colocation facility, or infrastructure operations environment. Hands-on experience troubleshooting server hardware and replacing components such as hard drives, SSDs, and memory modules. Experience with ServiceNow or other IT service management (ITSM) and ticketing platforms. Familiarity with incident management, change management, break-fix operations, maintenance procedures, and SLA-driven support. Strong documentation, administrative, organizational, and time-management skills. Familiarity with Data Center Infrastructure Management (DCIM) tools, data center inventory systems, Sunbird, or enterprise asset management platforms. Experience coordinating vendors and validating hardware installations, changes, and decommissioning activities. Proficiency in Google Workspace or Microsoft Office for documentation, reporting, and team collaboration. Strong troubleshooting, analytical thinking, and problem-solving abilities. Excellent written and verbal communication skills, including the ability to prepare clear operational updates and shift handoff reports. Ability to work independently during overnight shifts and escalate issues appropriately. Willingness to work onsite in New Albany, Ohio, on the specified fixed third-shift schedule. Experience supporting hyperscale data centers or large enterprise data center environments. Experience working in colocation facilities and coordinating infrastructure maintenance activities. Familiarity with data center asset tracking, inventory management, and infrastructure monitoring tools. Demonstrated interest in technology, continuous learning, and professional growth in IT infrastructure and operations. Candidates must be comfortable working the full overnight schedule and reporting onsite in New Albany, Ohio. Company Benefits & Culture Engaged and supportive work environment Opportunities for professional development Focus on work-life balance with a structured schedule For immediate consideration please click APPLY to begin the screening process with Alex.
11/02/2026
Full time
Job Description Job Description Title: Data Center Operations Technician Location: New Albany, OH Contract Duration: 12+ Months Shift: Third Shift - Wednesday Night through Saturday Night (10:30 PM - 9:00 AM ET) Pay Range: $35-40/hr on W2 without benefits Position Overview We are seeking a detail-oriented Data Center Operations Technician to support data center and colocation operations at an enterprise facility in New Albany, Ohio. This role is responsible for coordinating data center maintenance activities, managing incidents and break-fix operations, maintaining accurate documentation, and ensuring that hardware installations, replacements, and decommissioning activities are completed according to established procedures and standards. The ideal candidate will have hands-on experience in data center or infrastructure operations, server hardware troubleshooting, ticketing systems, incident management, and change management. Strong organizational skills, attention to detail, and the ability to work independently during overnight shifts are essential. Key Responsibilities Manage overnight data center operations, scheduled maintenance activities, and approved infrastructure changes. Review change requests, implementation plans, approvals, schedules, and required hardware or parts before executing planned activities. Monitor and coordinate break-fix activities, emergency incidents, and infrastructure support requests. Coordinate and oversee third-party vendors performing hardware installations, decommissioning, and other data center activities. Perform or coordinate server hardware troubleshooting and component replacements, including hard drives, memory modules (DIMMs), and other server components. Maintain detailed documentation of operational activities, including timestamps, hardware changes, implementation steps, and support team handoffs. Create, update, track, and close ServiceNow tickets related to maintenance activities, incidents, and infrastructure changes. Prepare and distribute operational and executive summaries covering completed work, incidents, outstanding issues, and status updates. Coordinate shift handoffs with other operations teams to ensure continuity for ongoing and multi-day activities. Escalate critical incidents and emergencies to management and appropriate technical support teams in a timely manner. Collaborate with data center colleagues, infrastructure teams, vendors, and technical stakeholders across multiple facilities. Ensure all activities comply with operational guidelines, security requirements, change management procedures, and documentation standards. Required Qualifications Experience working in an enterprise data center, colocation facility, or infrastructure operations environment. Hands-on experience troubleshooting server hardware and replacing components such as hard drives, SSDs, and memory modules. Experience with ServiceNow or other IT service management (ITSM) and ticketing platforms. Familiarity with incident management, change management, break-fix operations, maintenance procedures, and SLA-driven support. Strong documentation, administrative, organizational, and time-management skills. Familiarity with Data Center Infrastructure Management (DCIM) tools, data center inventory systems, Sunbird, or enterprise asset management platforms. Experience coordinating vendors and validating hardware installations, changes, and decommissioning activities. Proficiency in Google Workspace or Microsoft Office for documentation, reporting, and team collaboration. Strong troubleshooting, analytical thinking, and problem-solving abilities. Excellent written and verbal communication skills, including the ability to prepare clear operational updates and shift handoff reports. Ability to work independently during overnight shifts and escalate issues appropriately. Willingness to work onsite in New Albany, Ohio, on the specified fixed third-shift schedule. Experience supporting hyperscale data centers or large enterprise data center environments. Experience working in colocation facilities and coordinating infrastructure maintenance activities. Familiarity with data center asset tracking, inventory management, and infrastructure monitoring tools. Demonstrated interest in technology, continuous learning, and professional growth in IT infrastructure and operations. Candidates must be comfortable working the full overnight schedule and reporting onsite in New Albany, Ohio. Company Benefits & Culture Engaged and supportive work environment Opportunities for professional development Focus on work-life balance with a structured schedule For immediate consideration please click APPLY to begin the screening process with Alex.
Job Description Job Description Responsibilities: Exterior Feasibility Systems Engineer work as the feasibility leader between Design & Release Engineering and Studio Engineering to help do the following: Help establish engineering hard points to guide Studio's Class A Surface Creation (communicated via Master Sections creation). Assess Studio Surface Release to the engineering requirements (supported by D&R Engineers and Suppliers). Part of Co-Creation team to find solutions and address disconnects between Studio Surface and Engineering requirements. Requirements: CAD 5 Years of Design & Release, Design Studio, Integration or related experience in Body Exterior. Good interpersonal skills and leadership behaviors. Systems/ Integration experience working with cross functional team setting is a plus. Strong CAD Skills (Draw sections/ 3D Solutions). Experience in Catia/ 3DX/ Teamcenter is a plus. Preferred: CATIA Feasibility Engineer will be assigned to be the Vehicle Rear End Specialist. Prior Experience in Liftgate/ Tailgate/ PU Box/ Bumper/ Fascia/ Taillamps would be a plus. Ability to draw 2D feasibility sections to guide studio surface development. Knowledge of injection mold tooling, design, and manufacturing processes. Knowledge of sheet metal stamping, 2D CAD geometric compatibility/optimization. Experience working in a studio environment. Education: Bachelor's degree in Mechanical Engineering or equivalent combination of relevant education and experience. Additional Information: Hybrid / 4 days per week in the office We offer attractive, competitive compensation and benefits including, medical, dental, 401k, short-term disability, AD&D, tuition reimbursement, and more. If you take pride in your work and are committed to personal and professional success, let's talk. Please visit to learn more. Zobility is RGBSI's workforce management and staffing division. RGBSI is a multi-national corporation headquartered in Troy, MI with branches throughout the USA, Canada, Germany, and India.
11/02/2026
Full time
Job Description Job Description Responsibilities: Exterior Feasibility Systems Engineer work as the feasibility leader between Design & Release Engineering and Studio Engineering to help do the following: Help establish engineering hard points to guide Studio's Class A Surface Creation (communicated via Master Sections creation). Assess Studio Surface Release to the engineering requirements (supported by D&R Engineers and Suppliers). Part of Co-Creation team to find solutions and address disconnects between Studio Surface and Engineering requirements. Requirements: CAD 5 Years of Design & Release, Design Studio, Integration or related experience in Body Exterior. Good interpersonal skills and leadership behaviors. Systems/ Integration experience working with cross functional team setting is a plus. Strong CAD Skills (Draw sections/ 3D Solutions). Experience in Catia/ 3DX/ Teamcenter is a plus. Preferred: CATIA Feasibility Engineer will be assigned to be the Vehicle Rear End Specialist. Prior Experience in Liftgate/ Tailgate/ PU Box/ Bumper/ Fascia/ Taillamps would be a plus. Ability to draw 2D feasibility sections to guide studio surface development. Knowledge of injection mold tooling, design, and manufacturing processes. Knowledge of sheet metal stamping, 2D CAD geometric compatibility/optimization. Experience working in a studio environment. Education: Bachelor's degree in Mechanical Engineering or equivalent combination of relevant education and experience. Additional Information: Hybrid / 4 days per week in the office We offer attractive, competitive compensation and benefits including, medical, dental, 401k, short-term disability, AD&D, tuition reimbursement, and more. If you take pride in your work and are committed to personal and professional success, let's talk. Please visit to learn more. Zobility is RGBSI's workforce management and staffing division. RGBSI is a multi-national corporation headquartered in Troy, MI with branches throughout the USA, Canada, Germany, and India.
Director AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
11/02/2026
Full time
Director AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
Job Description Job Description Job Title: Sr Network Security Engineer Location: Los Angeles, CA Duration: 6 Months Plus Description: Seeking a highly qualified Network & Network Security contractor to support the Network & Voice Operations team in implementing critical network security enhancements, infrastructure modernization initiatives, and operational improvements. This role is ideal for an experienced networking professional with deep expertise in enterprise network architecture, security, and operations, including hands-on experience with modern Cisco switching platforms and Cisco Next-Generation Firewalls (NGFWs). Key Responsibilities: " Conduct site surveys and develop comprehensive assessments and reports on power and fiber redundancy for core network infrastructure, including Provider Edge (PE), Provider (P), and firewall devices " Perform Cisco IOS and firmware upgrades on switches, routers, firewalls, and related network infrastructure using approved software releases " Review, assess, and optimize enterprise network management and monitoring platforms, including Cisco Catalyst Center, Cisco Identity Services Engine (ISE), Thousand Eyes, and Spectrum " Perform system patching, security vulnerability remediation, compliance validation, and certification reporting activities " Support operational activities through ServiceNow ticket response, troubleshooting, and documentation of technical decisions and implementation outcomes " Collaborate with engineering and operations teams to maintain network reliability, security, and performance Qualifications: " Active Cisco Certified Network Professional (CCNP) certification, or equivalent demonstrated experience in enterprise networking and network security " Minimum of five (5) years and preferred up to ten (10) years of hands-on experience supporting enterprise network and security environments " Extensive experience with Cisco enterprise switching platforms and Cisco Next-Generation Firewalls (NGFWs) " Working knowledge of Cisco Catalyst Center, Cisco Secure Firewall Management Center (FMC), and Cisco Identity Services Engine (ISE) " Strong analytical, troubleshooting, and problem-solving skills " Excellent written and verbal communication skills, with the ability to coordinate effectively across technical and business teams Preferred: " Current and active Cisco Certified Network Professional (CCNP) certification " Knowledgeable with enterprise monitoring, reporting, and operational support processes " Experience with network security compliance, risk management, and cybersecurity best practices " Experience supporting public sector agencies, or other large-scale enterprise IT environments
11/02/2026
Full time
Job Description Job Description Job Title: Sr Network Security Engineer Location: Los Angeles, CA Duration: 6 Months Plus Description: Seeking a highly qualified Network & Network Security contractor to support the Network & Voice Operations team in implementing critical network security enhancements, infrastructure modernization initiatives, and operational improvements. This role is ideal for an experienced networking professional with deep expertise in enterprise network architecture, security, and operations, including hands-on experience with modern Cisco switching platforms and Cisco Next-Generation Firewalls (NGFWs). Key Responsibilities: " Conduct site surveys and develop comprehensive assessments and reports on power and fiber redundancy for core network infrastructure, including Provider Edge (PE), Provider (P), and firewall devices " Perform Cisco IOS and firmware upgrades on switches, routers, firewalls, and related network infrastructure using approved software releases " Review, assess, and optimize enterprise network management and monitoring platforms, including Cisco Catalyst Center, Cisco Identity Services Engine (ISE), Thousand Eyes, and Spectrum " Perform system patching, security vulnerability remediation, compliance validation, and certification reporting activities " Support operational activities through ServiceNow ticket response, troubleshooting, and documentation of technical decisions and implementation outcomes " Collaborate with engineering and operations teams to maintain network reliability, security, and performance Qualifications: " Active Cisco Certified Network Professional (CCNP) certification, or equivalent demonstrated experience in enterprise networking and network security " Minimum of five (5) years and preferred up to ten (10) years of hands-on experience supporting enterprise network and security environments " Extensive experience with Cisco enterprise switching platforms and Cisco Next-Generation Firewalls (NGFWs) " Working knowledge of Cisco Catalyst Center, Cisco Secure Firewall Management Center (FMC), and Cisco Identity Services Engine (ISE) " Strong analytical, troubleshooting, and problem-solving skills " Excellent written and verbal communication skills, with the ability to coordinate effectively across technical and business teams Preferred: " Current and active Cisco Certified Network Professional (CCNP) certification " Knowledgeable with enterprise monitoring, reporting, and operational support processes " Experience with network security compliance, risk management, and cybersecurity best practices " Experience supporting public sector agencies, or other large-scale enterprise IT environments
Director AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
11/02/2026
Full time
Director AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
Job Description Job Description Senior Network Security Engineer Primary Location : Chicago, IL V-Soft Consulting is currently hiring for a Senior Network Security Engineer for our premier client in Chicago, IL. Education and Experience: Experience with designing an ITSM system to manage incidents, problems, workflows and to collect metrics required for reporting, preferably on ServiceNow 10 years of Technical Operations, Engineering & Implementation, and Security Engineering experience in a 1000+ user environment Experience managing support/maintenance agreements and outside service providers Experience working with a Security Operations Center 4-year college degree in a related field and/or relevant professional experience 7 years of managing experience leading IT engineering teams. Knowledge and Skills: Knowledge of Cybersecurity operations and best practices Produce reporting on SLA adherence, incident management and network performance Maintains compliance with PCI, HIPAA, CJIS and other regulations Strong organizational and management skills; ability to efficiently manage a variety of multiple concurrent projects simultaneously Strong knowledge of ITIL concepts. ITIL certification is a plus. Strong interpersonal skills, communication, leadership ability, and teamwork Strong client-focus skills with ability to recognize client requirements, assist client in achieving their goals, manage client expectations and consistently achieve high client satisfaction WHAT YOU'LL DO: Job Responsibilities: Ability to explain complex problems in a simple and clear way and present network issues and changes to stakeholders and executive leadership Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .
11/02/2026
Full time
Job Description Job Description Senior Network Security Engineer Primary Location : Chicago, IL V-Soft Consulting is currently hiring for a Senior Network Security Engineer for our premier client in Chicago, IL. Education and Experience: Experience with designing an ITSM system to manage incidents, problems, workflows and to collect metrics required for reporting, preferably on ServiceNow 10 years of Technical Operations, Engineering & Implementation, and Security Engineering experience in a 1000+ user environment Experience managing support/maintenance agreements and outside service providers Experience working with a Security Operations Center 4-year college degree in a related field and/or relevant professional experience 7 years of managing experience leading IT engineering teams. Knowledge and Skills: Knowledge of Cybersecurity operations and best practices Produce reporting on SLA adherence, incident management and network performance Maintains compliance with PCI, HIPAA, CJIS and other regulations Strong organizational and management skills; ability to efficiently manage a variety of multiple concurrent projects simultaneously Strong knowledge of ITIL concepts. ITIL certification is a plus. Strong interpersonal skills, communication, leadership ability, and teamwork Strong client-focus skills with ability to recognize client requirements, assist client in achieving their goals, manage client expectations and consistently achieve high client satisfaction WHAT YOU'LL DO: Job Responsibilities: Ability to explain complex problems in a simple and clear way and present network issues and changes to stakeholders and executive leadership Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .
Talent Software Services, Inc.
Levittown, Pennsylvania
Job Description Job Description Short Description Remote with possible occasional travel Complete DescriptionDescription of Duties The selected candidate will perform the following duties: Design, develop, and deploy AI models and algorithms. Collaborate with cross-functional teams to identify and address AI-related challenges. Analyze and interpret complex data to extract actionable insights. Manage, maintain, and troubleshoot existing AI applications and models to ensure optimal performance and reliability. Continuously improve AI models through iteration and experimentation. Stay up to date with the latest advancements in AI and machine learning. Document and present findings and results to stakeholders. Desired Skillset/Minimum Experience The candidate must have the following skills and qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Proven experience in AI, machine learning, or data science. Experience with natural language processing (NLP) and computer vision. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms (Azure) and Azure Synapse and data workflows (pipelines). Strong problem-solving skills and the ability to work independently and collaboratively. Excellent communication skills, both written and verbal. Engagement Requirements Candidate's location is preferred to be within the Continental United States. The work location will be virtual/remote until further notice. When required to be onsite, the work location will be at designated facilities. In-person interviews or work sessions with stakeholders will be conducted at specified facilities. The resource shall attend an orientation session onsite at one of the designated offices. Travel costs associated with picking up equipment plus the orientation day will not be reimbursed. No additional compensation for any travel required if the resource is based within a 3-hour commuting distance. The rate is inclusive of any travel costs. Travel expenses submitted for reimbursement must adhere to federal guidelines and include appropriate documentation. The vendor must arrange for workspace for its project team. Meeting space will be provided, but daily housing is not planned unless otherwise stated. Remote connectivity: computer equipment and access to required services and facilities will be provided as required. All issued equipment must be returned in good working condition at the end of the engagement. Vendors are responsible for providing complete and accurate information for onboarding resources. A minimum of five to seven business days is required to fully onboard new resources. The IT Department has established guidelines for virtual work, which the vendor resource is expected to follow, including using cameras during meetings and maintaining a professional appearance. Resources must be available to come to the work location within 3 hours in case of an emergency and are expected to be on-site as needed for planned implementations or system issues. There are eleven holidays when the facilities are closed. These include New Year's Day, M.L. King Jr. Birthday, Presidents Day, Good Friday, Memorial Day, Juneteenth, Independence Day, Labor Day, Veterans Day, Thanksgiving Day, and Christmas Day. Resources must abide by all published IT Standards. Overtime requests need prior approval with justified reasons.
11/02/2026
Full time
Job Description Job Description Short Description Remote with possible occasional travel Complete DescriptionDescription of Duties The selected candidate will perform the following duties: Design, develop, and deploy AI models and algorithms. Collaborate with cross-functional teams to identify and address AI-related challenges. Analyze and interpret complex data to extract actionable insights. Manage, maintain, and troubleshoot existing AI applications and models to ensure optimal performance and reliability. Continuously improve AI models through iteration and experimentation. Stay up to date with the latest advancements in AI and machine learning. Document and present findings and results to stakeholders. Desired Skillset/Minimum Experience The candidate must have the following skills and qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Proven experience in AI, machine learning, or data science. Experience with natural language processing (NLP) and computer vision. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms (Azure) and Azure Synapse and data workflows (pipelines). Strong problem-solving skills and the ability to work independently and collaboratively. Excellent communication skills, both written and verbal. Engagement Requirements Candidate's location is preferred to be within the Continental United States. The work location will be virtual/remote until further notice. When required to be onsite, the work location will be at designated facilities. In-person interviews or work sessions with stakeholders will be conducted at specified facilities. The resource shall attend an orientation session onsite at one of the designated offices. Travel costs associated with picking up equipment plus the orientation day will not be reimbursed. No additional compensation for any travel required if the resource is based within a 3-hour commuting distance. The rate is inclusive of any travel costs. Travel expenses submitted for reimbursement must adhere to federal guidelines and include appropriate documentation. The vendor must arrange for workspace for its project team. Meeting space will be provided, but daily housing is not planned unless otherwise stated. Remote connectivity: computer equipment and access to required services and facilities will be provided as required. All issued equipment must be returned in good working condition at the end of the engagement. Vendors are responsible for providing complete and accurate information for onboarding resources. A minimum of five to seven business days is required to fully onboard new resources. The IT Department has established guidelines for virtual work, which the vendor resource is expected to follow, including using cameras during meetings and maintaining a professional appearance. Resources must be available to come to the work location within 3 hours in case of an emergency and are expected to be on-site as needed for planned implementations or system issues. There are eleven holidays when the facilities are closed. These include New Year's Day, M.L. King Jr. Birthday, Presidents Day, Good Friday, Memorial Day, Juneteenth, Independence Day, Labor Day, Veterans Day, Thanksgiving Day, and Christmas Day. Resources must abide by all published IT Standards. Overtime requests need prior approval with justified reasons.
Job Description Job Description Remote Pay Rate Range: $70.00 - $75.00/hr on W2 Livescan is required Position Description: A Principal Data Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. The position provides specialized technical expertise in data integration, data quality, data operations, data platform architecture, and data governance to ensure a reliable, scalable, and well-managed analytical environment. Skills: Excellent verbal and written communication skills; customer service orientation; strong analytical & business acumen; Excellent time management and organization abilities; with a proven capacity to handle multiple tasks simultaneously. Highly collaborative, yet capable of working independently with focus and self-direction on projects; Meticulous and dedicated to delivering high-quality work; and effective mentor, providing guidance and support to junior data engineers and database administrators Experience Required: Additional Experience Required Five (5) years of professional work experience specializing in Databricks with significant expertise in data engineering, data integration, data warehousing, and cloud computing. Five (5) years of experience in developing data pipelines using Python Three (3) years of experience in designing and developing Databricks medallion Lakehouse architecture, applying data governance, and data quality best practices One (1) year of experience in developing data models One (1) year of experience in Managing Azure Resources One (1) year of experience in automating Azure Data Resources using DataOps Education Required This classification requires the possession of a bachelor's in computer science, Data Engineering, or related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. Additional Information: California Resident Candidates Only. Work is expected to be mostly REMOTE, and interviews will be conducted via Microsoft TEAMS. Work schedule will be 4/40, 10-hour day within the M-TH work schedule at the discretion of the program manager. Work shift ranges from 7:15am to 6:00pm.
11/02/2026
Full time
Job Description Job Description Remote Pay Rate Range: $70.00 - $75.00/hr on W2 Livescan is required Position Description: A Principal Data Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. The position provides specialized technical expertise in data integration, data quality, data operations, data platform architecture, and data governance to ensure a reliable, scalable, and well-managed analytical environment. Skills: Excellent verbal and written communication skills; customer service orientation; strong analytical & business acumen; Excellent time management and organization abilities; with a proven capacity to handle multiple tasks simultaneously. Highly collaborative, yet capable of working independently with focus and self-direction on projects; Meticulous and dedicated to delivering high-quality work; and effective mentor, providing guidance and support to junior data engineers and database administrators Experience Required: Additional Experience Required Five (5) years of professional work experience specializing in Databricks with significant expertise in data engineering, data integration, data warehousing, and cloud computing. Five (5) years of experience in developing data pipelines using Python Three (3) years of experience in designing and developing Databricks medallion Lakehouse architecture, applying data governance, and data quality best practices One (1) year of experience in developing data models One (1) year of experience in Managing Azure Resources One (1) year of experience in automating Azure Data Resources using DataOps Education Required This classification requires the possession of a bachelor's in computer science, Data Engineering, or related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. Additional Information: California Resident Candidates Only. Work is expected to be mostly REMOTE, and interviews will be conducted via Microsoft TEAMS. Work schedule will be 4/40, 10-hour day within the M-TH work schedule at the discretion of the program manager. Work shift ranges from 7:15am to 6:00pm.
Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
11/02/2026
Full time
Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
