115 jobs found

Job Description Job Description Millennium NYC 5 days a week in office 200-225K Base plus bonus (total comp-400-500K) Technical Lead Market Data The SPEED Market Data team seeks a hands-on Technical Lead who will own and drive a critical workstream focused on architecting, implementing, monitoring, and supporting low-latency C++ systems that are robust, resilient, accurate, stable, and blindingly fast. By leading the design and evolution of this high-performance infrastructure, you will help position MLP as a leader in quantitative trading. You will shape the future of this industry while working alongside other exceptional engineers and strategists to solve some of the most significant engineering problems in the world. We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time (both low-latency and non-latency-sensitive) market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management. The successful candidate will be comfortable owning a workstream end-to-end-covering design, implementation, monitoring, support, and stakeholder management-while ensuring stability of the existing environment and driving platform improvements. Principal Responsibilities Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle. Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems. Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices. Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity. Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment. Optimize platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning). Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation. Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes. Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualization, and self-service administrative/user tools. Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions. Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs). Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability. Qualifications / Skills Required Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++. Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments. Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimization. Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations). Able to prioritize and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through. Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production. Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions. Experience building solutions on cloud environments such as GCP and AWS. Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell). Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.). Experience supporting market data environments within a global organization, including internally developed DMA feed handlers and distribution infrastructure. Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability. Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management. Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations. Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.

Job Description Job Description Purpose of Position: The Senior Auditor (VP) is responsible for independently leading and executing risk-based internal audit assignments across operational, financial, regulatory compliance, information technology (IT), information systems (IS), cybersecurity, and integrated audit areas. The role performs audit planning, risk assessment, control evaluation, testing, documentation, and reporting with minimal supervision while serving as a trusted advisor to management on risk management, governance, regulatory compliance, technology controls, and process improvement opportunities. This position also plays a key role in leveraging data analytics and technology-enabled auditing techniques, supporting Audit Committee reporting, coordinating regulatory requests, and providing expertise related to IT governance, information security, cybersecurity, system implementations, and automated controls. This is an individual contributor role and does not have direct people management responsibilities. Essential Job Functions: Applies knowledge of banking operations, technology environments, information systems, cybersecurity risks, and regulatory requirements to develop and maintain risk assessments and contribute to the annual audit planning process. Obtains and documents an understanding of business processes, technology platforms, system interfaces, data flows, and supporting controls to identify and evaluate risks and the effectiveness of related internal controls. Develops risk and control matrices (RCMs), audit programs, testing strategies, and audit procedures for operational, financial, compliance, IT, IS, cybersecurity, and integrated audits with minimal supervision. Performs operational, financial, compliance, information technology, cybersecurity, and substantive testing procedures for internal audits, regulatory examinations, external audit support, and Sarbanes-Oxley (SOX) compliance activities. Evaluates the design and operating effectiveness of key controls, including automated controls, application controls, IT general controls (ITGCs), information security controls, cybersecurity controls, and data governance controls. Assesses technology-related risks involving infrastructure, cloud services, cybersecurity, third-party providers, system implementations, logical access, user provisioning, change management, data protection, and business continuity. Partners with business and technology stakeholders obtain audit evidence, conduct interviews, and evaluate processes and control environments. Ensures audit assignments are appropriately documented, accurate, complete, and completed within budget and established timelines. Prepares clear, concise, and well-supported audit reports, issue summaries, and other written communications with minimal supervision. Resolves review notes, management inquiries, and audit-related requests promptly and professionally. Serves as a department resource on data analytics, continuous monitoring, technology-enabled auditing, artificial intelligence (AI) applications, and audit automation techniques. Utilizes data analytics tools and techniques to identify risk indicators, analyze large data populations, improve audit efficiency, and enhance audit coverage. Maintains effective working relationships with Internal Audit Management, business line management, technology teams, external auditors, regulators, and other stakeholders. Provides timely communication to Internal Audit Management regarding audit progress, emerging risks, control deficiencies, cybersecurity concerns, and significant issues identified during audits. Keeps current on banking regulations, auditing standards, information technology trends, cybersecurity risks, emerging technologies, and industry best practices. Maintains continuing professional education and relevant certifications. Maintains appropriate levels of confidentiality and professionalism in handling sensitive Bank information. Performs other duties and special projects as assigned Education and Experience: Bachelor's degree in accounting, Finance, Information Systems, Computer Science, Cybersecurity, Business Administration, or a related field. Minimum 3-5 years of experience in internal audit, external audit, public accounting, IT audit, information security audit, risk management, regulatory compliance, or financial services auditing, preferably within the banking industry. Experience conducting operational, compliance, financial, IT, information systems, cybersecurity, or integrated audits. Experience evaluating IT General Controls (ITGCs), application controls, automated controls, interfaces, system implementations, third-party/vendor risks, and information security controls. Knowledge & Skills . Strong knowledge of internal auditing principles, practices, standards, and methodologies. Working knowledge of banking operations, products, services, and regulatory requirements. Strong understanding of risk assessment methodologies and internal control frameworks. Knowledge of IIA Global Internal Audit Standards. Knowledge of the Sarbanes-Oxley Act (SOX) and related control requirements. Good understanding of COSO 2013 Internal Control Framework requirements. Understanding of IT governance, information security, cybersecurity, data governance, cloud computing, and technology risk management concepts. Knowledge of industry control frameworks and standards such as NIST Cybersecurity Framework, COBIT, FFIEC guidance, ISO 27001, and related regulatory expectations is preferred. Strong analytical, problem-solving, critical-thinking, and investigative skills. Strong written and verbal communication skills with the ability to communicate effectively with senior management and technical personnel. Strong project management, organization, and time management skills. Ability to manage multiple assignments, prioritize competing deadlines, and work independently. Ability to positively interface and work well with all levels of staff and management (auditees and own department) Working knowledge of relevant computer programs, i.e. Microsoft Access, Word, Excel, core banking system and query Ability to handle bank and client information and sensitive matters professionally and confidentially Preferred Certifications One or more of the following certifications, or progress toward obtaining them, is preferred: Certified Internal Auditor (CIA) Certified Public Accountant (CPA) Certified Information Systems Auditor (CISA) Certified Information Security Manager (CISM) Certified in Risk and Information Systems Control (CRISC) Certified Regulatory Compliance Manager (CRCM) Certified Financial Services Auditor (CFSA) Certified Bank Auditor (CBA) Certified Community Bank Internal Auditor (CCBIA) Certified Trust & Financial Advisor (CTFA) Certified Fiduciary & Investment Risk Specialist (CFIRS) Our job titles may span more than one career level. The starting base salary for this role is between $100,000.00 - $120,000.00. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas. Hybrid Work Model Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as "remote".

Job Description Job Description Assistant Chief Engineer - Structural (Bridge) Wall Township, NJ French & Parrello Associates (FPA) is seeking an experienced and highly respected Assistant Chief Engineer - Bridge to provide technical leadership and strategic direction for our growing Bridge Department at our headquarters in Wall Township, NJ. This is a unique opportunity for a senior transportation engineering professional who wants to make a significant impact by leading complex bridge projects, mentoring talented engineers, advancing technical excellence, and helping shape the continued growth of one of the Northeast's fastest-growing engineering consulting firms. Recognized year after year as one of NJBIZ's Best Places to Work in New Jersey, FPA is committed to creating a culture where talented professionals are empowered to grow, collaborate, and lead. In 2026, FPA was ranked on Zweig's Hot Firm List, recognizing the firm among the 100 fastest-growing AEC firms in the United States and Canada. Our continued growth is driven by our investment in our people, technical expertise, and commitment to delivering innovative infrastructure solutions for the communities we serve. The successful candidate will serve as a technical leader within FPA's Bridge Department, providing oversight and guidance on complex bridge design, rehabilitation, and transportation infrastructure projects throughout New Jersey and the region. This individual will work closely with project managers, engineers, and multidisciplinary teams to ensure the successful delivery of high-quality engineering solutions while advancing the department's technical capabilities and reputation. This role is ideal for a recognized bridge engineering professional who enjoys solving complex technical challenges, developing engineering talent, collaborating with clients and agencies, and contributing to the strategic growth of a multidisciplinary engineering firm. Unlike larger organizations where senior technical professionals can become disconnected from project teams and decision-making, FPA provides the opportunity to directly influence projects, mentor future leaders, and play a key role in shaping the future of our Bridge practice. Bridge Engineering Expertise & Project Experience FPA's Bridge Department has a long-standing reputation for delivering innovative solutions for complex transportation infrastructure projects throughout New Jersey and the Northeast. Our team has successfully completed bridge design, rehabilitation, inspection, and construction support assignments for NJDOT, DRJTBC, NJ Turnpike Authority, Garden State Parkway, PennDOT, counties, municipalities, and other transportation agencies. Our experience includes major bridge replacements, deck replacements, structural rehabilitations, bridge widenings, load ratings, seismic evaluations, staged construction projects, and complex transportation improvements involving steel plate girders, rolled steel beams, prestressed concrete systems, culverts, pedestrian bridges, and specialty structures. The Assistant Chief Engineer - Bridge will have the opportunity to lead projects that shape the region's transportation network, including major highway structures, historic bridge rehabilitations, waterfront and movable bridge projects, and technically challenging infrastructure improvements. FPA's portfolio includes work on critical corridors such as US Routes 1, 22, 27, 33, and 80, as well as significant assignments for public agencies requiring innovative engineering solutions, multidisciplinary coordination, and a commitment to quality from preliminary design through construction completion. Responsibilities • Provide technical leadership and oversight for complex bridge design, rehabilitation, replacement, and transportation infrastructure projects • Serve as a senior technical resource for bridge engineering teams, providing guidance on design approaches, engineering solutions, and project delivery strategies • Lead quality assurance and quality control (QA/QC) reviews of bridge plans, calculations, specifications, technical reports, and design documentation • Oversee structural analysis and design activities in accordance with AASHTO LRFD Bridge Design Specifications, NJDOT standards, and applicable agency requirements • Provide technical direction for bridge modeling, load rating analyses, structural evaluations, and rehabilitation design efforts • Collaborate with Project Managers and multidisciplinary teams including roadway, traffic, geotechnical, environmental, hydraulic, and construction engineering professionals • Support complex project pursuits through technical strategy, proposal development, interviews, and client presentations • Maintain and strengthen relationships with NJDOT, county engineering departments, municipalities, and other transportation agencies • Mentor, coach, and develop engineers within the Bridge Department by providing technical guidance and supporting professional growth • Assist with the development of department standards, technical resources, and best practices to enhance project delivery and engineering excellence • Participate in strategic planning initiatives to support continued growth of FPA's transportation and bridge practice • Conduct site visits, bridge inspections, and field assessments as needed to support project delivery and technical decision-making Qualifications • Bachelor's degree in Civil Engineering required; Master's degree in Structural Engineering required • Professional Engineer (PE) license required; New Jersey, New York and/or Pennsylvania PE preferred or ability to obtain through reciprocity • 15+ years of progressive bridge design and structural engineering experience • Extensive experience delivering complex bridge and transportation infrastructure projects/Historical Bridge Design Rehabilitation experience is a plus • Advanced knowledge of AASHTO LRFD Bridge Design Specifications and NJDOT bridge design procedure • Strong technical expertise in bridge analysis, rehabilitation, replacement, and structural evaluation • Proficiency with bridge design and analysis software such as LEAP Bridge, LARSA, MIDAS, CSiBridge, STAAD, or equivalent programs • Experience with AutoCAD and/or MicroStation required • Demonstrated ability to provide technical leadership, mentor engineers, and elevate team performance • Strong communication, organization, and problem-solving skills with the ability to collaborate across disciplines • Established relationships with transportation agencies, municipalities, and public-sector clients preferred • Experience supporting business development, proposal preparation, and client engagement activities preferred Additional Information • Sponsorship for U.S. employment authorization is not available for this position. • Relocation assistance is available for this position. Don't meet every qualification? At FPA, we recognize that great candidates bring diverse experiences and perspectives. If you are excited about this opportunity but do not meet every listed requirement, we encourage you to apply. Your experience may be exactly what we need for this role or another opportunity within our growing team. The FPA Difference Large firms offer scale. FPA offers opportunity. For more than 50 years, French & Parrello Associates (FPA) has been delivering innovative engineering solutions that shape communities, improve infrastructure, and support regional growth. As an employee-owned, mid-sized engineering and consulting firm, FPA combines the technical capabilities and expertise of a larger organization with the collaboration, accessibility, and personal investment of a close-knit team. At FPA, senior technical leaders have the opportunity to make a meaningful impact beyond individual projects. You will help shape engineering standards, mentor the next generation of professionals, collaborate with industry leaders, and influence the continued growth and success of our Bridge Department. Our multidisciplinary approach allows technical leaders to see the full picture, from concept development and design through construction completion, while collaborating with experts across transportation, structural, environmental, water resources, and other engineering disciplines. We invest in our people through mentorship, professional development, and opportunities for leadership because we believe the success of our employees drives the continued success of our firm. At FPA, you are not just providing engineering expertise, you are helping build a growing organization and shaping the infrastructure that supports communities for generations. Benefits Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement plans. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. Compensation The projected compensation range for this position is $150,000 to $200,000. Actual compensation will depend on factors including experience, education, qualifications, and skill set. FPA recognizes and rewards performance through an annual bonus program and offers a signing bonus for this particular position for qualified candidates.

Job Description Job Description i360technologies, Inc. is seeking an experienced Senior Federal Budget Formulation & Forecasting Consultant to lead the functional design of budget formulation, planning, and forecasting solutions on Oracle Cloud EPM, in support of an upcoming federal financial systems modernization initiative. This is a functional leadership role, not a backend build role. The consultant must have personally performed federal budget formulation, planning, and forecasting work in a prior role - building budget submissions, running planning cycles, developing forecasts - and brings that firsthand functional expertise to lead solution design on Oracle Cloud EPM Planning. The consultant directs how the system should work based on real budgeting and forecasting experience; day-to-day technical configuration and build work is carried out by supporting Oracle Cloud EPM SMEs under this consultant's direction. This position is intended for an experienced budget formulation and forecasting practitioner with strong Oracle Cloud EPM fluency - not a general financial analyst, and not a pure systems implementer. What You Will Do Serve as the functional lead for budget formulation, planning, and forecasting - defining how budget cycles, submissions, and forecasts should work based on firsthand experience doing this work. Lead requirements-gathering sessions with budget officers, financial managers, program managers, and executives, translating real budgeting and forecasting practice into system requirements. Direct and validate Oracle Cloud EPM Planning application design - dimensions, forms, workflow, scenario modeling - to ensure it reflects how budget formulation and forecasting actually work functionally. Own the functional design of annual and multi-year budget formulation cycles: initial budget requests, program submissions, baseline estimates, spend plans, workforce and compensation projections, capital and investment planning, scenario modeling, and budget reviews/approvals. Direct the Senior Oracle Cloud EPM Functional Consultant and Technical/Integration Consultant on configuration and build, ensuring the finished system matches functional intent. Guide development of calculation logic (Calculation Manager, Essbase, Groovy) by specifying the functional forecasting and budgeting logic it needs to implement. Lead functional validation of integrations between Oracle Cloud EPM Planning and Oracle Federal Financials, EBS, Fusion Cloud ERP, and other federal shared-service systems. Lead evaluation of legacy budget formulation processes (Hyperion Planning, PBCS, EPBCS, or spreadsheet-based) and define the functional target-state process for migration, in coordination with the Solution Architect. Own functional design documentation and lead functional/UAT testing to confirm the system supports real-world budget formulation and forecasting workflows. Lead training and knowledge-transfer sessions for agency budget and finance users, grounded in practitioner-level understanding of their work. Serve as the senior functional point of contact for the client; mentor the Functional Consultant on the budgeting/forecasting side of the solution. Required Qualifications Bachelor's degree in accounting, finance, business administration, public administration, or a related field. Relevant professional experience may be considered in place of a degree. At least 5 years personally performing federal budget formulation, planning, or forecasting work - e.g., as a budget analyst, financial planning lead, or program budget officer - not solely as a systems consultant. At least 5 years of experience working with Oracle Cloud EPM Planning or Oracle Hyperion Planning, including experience directing or leading solution design (hands-on configuration may be performed by supporting team members). Deep, practitioner-level understanding of budget formulation, financial planning, forecasting, funds management, and budget-to-actual analysis - gained from having done the work, not only studied or configured around it. Strong working knowledge of Oracle Calculation Manager, Essbase calculations, and Groovy business rules sufficient to direct and validate their design, even if not personally writing all of the code. Working knowledge of Oracle Smart View and standard EPM reporting capabilities. Demonstrated experience leading requirements-gathering and translating real budgeting and forecasting practice into functional and technical designs. Strong verbal and written communication skills, including experience presenting to federal executives and budget stakeholders. Ability to meet federal client suitability, citizenship, residency, and background-investigation requirements applicable to the assigned project. Preferred Experience Experience leading an Oracle Cloud EPM Planning implementation for a federal government agency. Detailed knowledge of federal budget formulation and execution processes. Familiarity with OMB Circular A-11 and federal budget submission requirements. Experience with federal appropriations, apportionments, allotments, operating plans, spend plans, and multi-year funding. Experience integrating Oracle Cloud EPM Planning with Oracle Federal Financials, EBS, or Fusion Cloud ERP. Oracle Cloud EPM certification. PMP, CPA, or Certified Government Financial Manager certification. Active federal Public Trust or security clearance. Security & Eligibility Requirements Ability to obtain and maintain the federal government suitability or security clearance required for the assigned project S. Citizenship or Permanent Residency required (no visa sponsorship available) Benefits Referral Bonus (401k) Matching Holidays - Eleven Technology Reimbursement Short-Term & Long-Term Disability Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (0-3 years - 15 Days PTO 3+ years 20 Days) 80% Employer Paid Health Care Plan (Medical, Dental & Vision) Benefit eligibility and coverage are subject to applicable plan terms and company policies. Equal Opportunity Employer Minority/Female/Veteran/Disability All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or status within any other protected group. Only direct applicants will be considered. Submissions from recruiting or staffing firms will not be accepted.

Job Description Job Description Overview Senior Configuration Manager LOCATION: Lackland AFB, TX JOB STATUS: Full-time CLEARANCE: TOP SECRET CERTIFICATION: N/A TRAVEL: Limited; as needed Astrion has an exciting opportunity for a Senior Configuration Manager supporting the USAF Cryptologic and Cyber Systems Division, which is within the Cyber and Networks Directorate (AFLCMC/HN), and located at Lackland AFB, TX. REQUIRED QUALIFICATIONS / SKILLS: Education: bachelor's Degree in a related field Years of Experience: Ten years of experience in configuration or data management, five of which must be in the DoD. A total of 15 years of directly related experience (8 DoD) may substitute for the Bachelor's degree. Current Secret clearance with the ability to obtain Top Secret clearance DESIRED QUALIFICATIONS / SKILLS: Experience with MIL-HDBK-61 Experience performing baseline administrative activities for multiple environments. Ability to enter and manipulate data in a database. Strong attention to detail. Strong organizational skills and the ability to multitask. Ability to work independently and with a team. Experience in MS office suite software required. RESPONSIBILITIES: Provide configuration management of all relevant program artifacts. Archive acquisition documentation. Review and analyze the sustainment contractor's CM program and data deliveries for accuracy, completeness, and compliance. Maintain CM files including configuration identification, change control, and status accounting records. Convene and manage the configuration control boards, technical review boards, and record approved changes and results. Participate in cross functional change control boards to evaluate proposed changes. Review and analyze proposed changes to ensure operational and sustainment capabilities are not adversely affected by the changes. Review the CCB membership list for currency and completeness. Support engineering assessments. Prepare for, conduct, and/or support physical configuration audits and functional configuration audits. Record and maintain assessment and audit findings, minutes, and action items. Support pre- and post- contract award data reviews. Work closely with program management, systems engineers, quality managers, draftsman and design slash manufacturing engineers in an integrated product team environment. Develop and administer configuration management plans. Maintain design traceability and integrity. Manage and control product baselines. Analyze data and prepare plans and briefings and support of software driven systems. Audit and review IT system configurations control the configuration of IT systems. Identify and maintain all baselines. Identify data requirements in the statement of work, statement of objectives, and/or performance work statement. EPASS HN Air Force

Job Description Job Description i360technologies, Inc. is seeking an experienced Senior Federal Budget Formulation & Forecasting Consultant to lead the functional design of budget formulation, planning, and forecasting solutions on Oracle Cloud EPM, in support of an upcoming federal financial systems modernization initiative. This is a functional leadership role, not a backend build role. The consultant must have personally performed federal budget formulation, planning, and forecasting work in a prior role - building budget submissions, running planning cycles, developing forecasts - and brings that firsthand functional expertise to lead solution design on Oracle Cloud EPM Planning. The consultant directs how the system should work based on real budgeting and forecasting experience; day-to-day technical configuration and build work is carried out by supporting Oracle Cloud EPM SMEs under this consultant's direction. This position is intended for an experienced budget formulation and forecasting practitioner with strong Oracle Cloud EPM fluency - not a general financial analyst, and not a pure systems implementer. What You Will Do Serve as the functional lead for budget formulation, planning, and forecasting - defining how budget cycles, submissions, and forecasts should work based on firsthand experience doing this work. Lead requirements-gathering sessions with budget officers, financial managers, program managers, and executives, translating real budgeting and forecasting practice into system requirements. Direct and validate Oracle Cloud EPM Planning application design - dimensions, forms, workflow, scenario modeling - to ensure it reflects how budget formulation and forecasting actually work functionally. Own the functional design of annual and multi-year budget formulation cycles: initial budget requests, program submissions, baseline estimates, spend plans, workforce and compensation projections, capital and investment planning, scenario modeling, and budget reviews/approvals. Direct the Senior Oracle Cloud EPM Functional Consultant and Technical/Integration Consultant on configuration and build, ensuring the finished system matches functional intent. Guide development of calculation logic (Calculation Manager, Essbase, Groovy) by specifying the functional forecasting and budgeting logic it needs to implement. Lead functional validation of integrations between Oracle Cloud EPM Planning and Oracle Federal Financials, EBS, Fusion Cloud ERP, and other federal shared-service systems. Lead evaluation of legacy budget formulation processes (Hyperion Planning, PBCS, EPBCS, or spreadsheet-based) and define the functional target-state process for migration, in coordination with the Solution Architect. Own functional design documentation and lead functional/UAT testing to confirm the system supports real-world budget formulation and forecasting workflows. Lead training and knowledge-transfer sessions for agency budget and finance users, grounded in practitioner-level understanding of their work. Serve as the senior functional point of contact for the client; mentor the Functional Consultant on the budgeting/forecasting side of the solution. Required Qualifications Bachelor's degree in accounting, finance, business administration, public administration, or a related field. Relevant professional experience may be considered in place of a degree. At least 5 years personally performing federal budget formulation, planning, or forecasting work - e.g., as a budget analyst, financial planning lead, or program budget officer - not solely as a systems consultant. At least 5 years of experience working with Oracle Cloud EPM Planning or Oracle Hyperion Planning, including experience directing or leading solution design (hands-on configuration may be performed by supporting team members). Deep, practitioner-level understanding of budget formulation, financial planning, forecasting, funds management, and budget-to-actual analysis - gained from having done the work, not only studied or configured around it. Strong working knowledge of Oracle Calculation Manager, Essbase calculations, and Groovy business rules sufficient to direct and validate their design, even if not personally writing all of the code. Working knowledge of Oracle Smart View and standard EPM reporting capabilities. Demonstrated experience leading requirements-gathering and translating real budgeting and forecasting practice into functional and technical designs. Strong verbal and written communication skills, including experience presenting to federal executives and budget stakeholders. Ability to meet federal client suitability, citizenship, residency, and background-investigation requirements applicable to the assigned project. Preferred Experience Experience leading an Oracle Cloud EPM Planning implementation for a federal government agency. Detailed knowledge of federal budget formulation and execution processes. Familiarity with OMB Circular A-11 and federal budget submission requirements. Experience with federal appropriations, apportionments, allotments, operating plans, spend plans, and multi-year funding. Experience integrating Oracle Cloud EPM Planning with Oracle Federal Financials, EBS, or Fusion Cloud ERP. Oracle Cloud EPM certification. PMP, CPA, or Certified Government Financial Manager certification. Active federal Public Trust or security clearance. Security & Eligibility Requirements Ability to obtain and maintain the federal government suitability or security clearance required for the assigned project S. Citizenship or Permanent Residency required (no visa sponsorship available) Benefits Referral Bonus (401k) Matching Holidays - Eleven Technology Reimbursement Short-Term & Long-Term Disability Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (0-3 years - 15 Days PTO 3+ years 20 Days) 80% Employer Paid Health Care Plan (Medical, Dental & Vision) Benefit eligibility and coverage are subject to applicable plan terms and company policies. Equal Opportunity Employer Minority/Female/Veteran/Disability All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or status within any other protected group. Only direct applicants will be considered. Submissions from recruiting or staffing firms will not be accepted.

Job Description Job Description i360technologies, Inc. is seeking an experienced Senior Federal Budget Formulation & Forecasting Consultant to lead the functional design of budget formulation, planning, and forecasting solutions on Oracle Cloud EPM, in support of an upcoming federal financial systems modernization initiative. This is a functional leadership role, not a backend build role. The consultant must have personally performed federal budget formulation, planning, and forecasting work in a prior role - building budget submissions, running planning cycles, developing forecasts - and brings that firsthand functional expertise to lead solution design on Oracle Cloud EPM Planning. The consultant directs how the system should work based on real budgeting and forecasting experience; day-to-day technical configuration and build work is carried out by supporting Oracle Cloud EPM SMEs under this consultant's direction. This position is intended for an experienced budget formulation and forecasting practitioner with strong Oracle Cloud EPM fluency - not a general financial analyst, and not a pure systems implementer. What You Will Do Serve as the functional lead for budget formulation, planning, and forecasting - defining how budget cycles, submissions, and forecasts should work based on firsthand experience doing this work. Lead requirements-gathering sessions with budget officers, financial managers, program managers, and executives, translating real budgeting and forecasting practice into system requirements. Direct and validate Oracle Cloud EPM Planning application design - dimensions, forms, workflow, scenario modeling - to ensure it reflects how budget formulation and forecasting actually work functionally. Own the functional design of annual and multi-year budget formulation cycles: initial budget requests, program submissions, baseline estimates, spend plans, workforce and compensation projections, capital and investment planning, scenario modeling, and budget reviews/approvals. Direct the Senior Oracle Cloud EPM Functional Consultant and Technical/Integration Consultant on configuration and build, ensuring the finished system matches functional intent. Guide development of calculation logic (Calculation Manager, Essbase, Groovy) by specifying the functional forecasting and budgeting logic it needs to implement. Lead functional validation of integrations between Oracle Cloud EPM Planning and Oracle Federal Financials, EBS, Fusion Cloud ERP, and other federal shared-service systems. Lead evaluation of legacy budget formulation processes (Hyperion Planning, PBCS, EPBCS, or spreadsheet-based) and define the functional target-state process for migration, in coordination with the Solution Architect. Own functional design documentation and lead functional/UAT testing to confirm the system supports real-world budget formulation and forecasting workflows. Lead training and knowledge-transfer sessions for agency budget and finance users, grounded in practitioner-level understanding of their work. Serve as the senior functional point of contact for the client; mentor the Functional Consultant on the budgeting/forecasting side of the solution. Required Qualifications Bachelor's degree in accounting, finance, business administration, public administration, or a related field. Relevant professional experience may be considered in place of a degree. At least 5 years personally performing federal budget formulation, planning, or forecasting work - e.g., as a budget analyst, financial planning lead, or program budget officer - not solely as a systems consultant. At least 5 years of experience working with Oracle Cloud EPM Planning or Oracle Hyperion Planning, including experience directing or leading solution design (hands-on configuration may be performed by supporting team members). Deep, practitioner-level understanding of budget formulation, financial planning, forecasting, funds management, and budget-to-actual analysis - gained from having done the work, not only studied or configured around it. Strong working knowledge of Oracle Calculation Manager, Essbase calculations, and Groovy business rules sufficient to direct and validate their design, even if not personally writing all of the code. Working knowledge of Oracle Smart View and standard EPM reporting capabilities. Demonstrated experience leading requirements-gathering and translating real budgeting and forecasting practice into functional and technical designs. Strong verbal and written communication skills, including experience presenting to federal executives and budget stakeholders. Ability to meet federal client suitability, citizenship, residency, and background-investigation requirements applicable to the assigned project. Preferred Experience Experience leading an Oracle Cloud EPM Planning implementation for a federal government agency. Detailed knowledge of federal budget formulation and execution processes. Familiarity with OMB Circular A-11 and federal budget submission requirements. Experience with federal appropriations, apportionments, allotments, operating plans, spend plans, and multi-year funding. Experience integrating Oracle Cloud EPM Planning with Oracle Federal Financials, EBS, or Fusion Cloud ERP. Oracle Cloud EPM certification. PMP, CPA, or Certified Government Financial Manager certification. Active federal Public Trust or security clearance. Security & Eligibility Requirements Ability to obtain and maintain the federal government suitability or security clearance required for the assigned project S. Citizenship or Permanent Residency required (no visa sponsorship available) Benefits Referral Bonus (401k) Matching Holidays - Eleven Technology Reimbursement Short-Term & Long-Term Disability Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (0-3 years - 15 Days PTO 3+ years 20 Days) 80% Employer Paid Health Care Plan (Medical, Dental & Vision) Benefit eligibility and coverage are subject to applicable plan terms and company policies. Equal Opportunity Employer Minority/Female/Veteran/Disability All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or status within any other protected group. Only direct applicants will be considered. Submissions from recruiting or staffing firms will not be accepted.

Job Description Job Description Position Summary: The Assistant Director of Building Services & Senior Chief Engineer performs advanced preventive and corrective maintenance, diagnoses complex mechanical and electrical issues, monitors building automation systems, coordinates with contractors and vendors, and provides technical guidance to junior maintenance personnel. This position serves as a senior technical resource for building operations and is responsible for maintaining critical HVAC equipment, supporting tenant comfort, minimizing equipment downtime, and ensuring properties operate in accordance with company standards, manufacturer requirements, and applicable safety codes Position Responsibilities: Operate, inspect, maintain, troubleshoot, and repair commercial HVAC systems and associated building equipment. Perform preventive, predictive, and corrective maintenance on: Air handling units (AHUs) Rooftop units (RTUs) Chillers and cooling towers Boilers and heating systems Pumps, motors, and variable frequency drives (VFDs) Exhaust and ventilation systems Fan coil units and terminal units Refrigeration equipment Pneumatic and electronic controls Building automation/management systems (BAS/BMS) Conduct routine mechanical-room and building inspections to identify equipment deficiencies and potential failures before they affect building operations. Diagnose complex HVAC, electrical, mechanical, refrigeration, and controls problems using appropriate testing instruments and diagnostic procedures. Monitor building automation systems and adjust HVAC operating parameters to maintain tenant comfort and optimize energy performance. Respond to HVAC-related emergencies, equipment failures, tenant service requests, and after-hours calls as required. Perform equipment start-ups, shutdowns, operational testing, and seasonal changeovers. Maintain accurate preventive maintenance records, work orders, equipment logs, inspection reports, and service documentation. Review equipment performance and recommend repairs, replacements, upgrades, or energy-efficiency improvements. Coordinate with property management, facility management, engineering staff, tenants, contractors, and service vendors. Assist with contractor oversight, including reviewing work, verifying completion, and ensuring work is performed safely and according to specifications. Maintain appropriate levels of HVAC parts, filters, refrigerants, tools, and maintenance supplies. Support capital improvement projects, equipment replacements, renovations, and building-system upgrades. Maintain compliance with applicable OSHA requirements, building codes, environmental regulations, and company safety procedures. Maintain clean, organized, and safe mechanical rooms, equipment areas, and workspaces. Provide technical guidance, training, and assistance to junior maintenance technicians. Prioritize maintenance activities based on equipment criticality, tenant needs, safety, and business impact. Perform general building maintenance duties as needed to support overall property operations. Identify opportunities to improve equipment reliability, energy efficiency, operating costs, and asset life. Assist property management with technical assessments, repair recommendations, and budgeting for HVAC-related capital expenditures. Work with property managers and facility teams to minimize disruption to building occupants during maintenance and repair activities. Support emergency preparedness and building response procedures for HVAC and mechanical-system failures. Senior-Level / Leadership Responsibilities Serve as a subject-matter resource for commercial HVAC systems and building mechanical operations. Provide guidance and technical assistance to maintenance technicians and building engineers. Mentor Building Services team members for future development. Review troubleshooting approaches and recommend appropriate corrective actions. Assist in developing preventive maintenance procedures and improving maintenance programs. Help evaluate recurring equipment problems and identify root causes. Provide input regarding equipment replacement, modernization, energy conservation, and operational improvements. Assist management in evaluating contractor performance and technical recommendations. Position Qualifications: High school diploma or equivalent required. Minimum of 10+ years of progressively responsible experience in commercial HVAC maintenance, repair, and troubleshooting. DC 3rd license Demonstrated experience maintaining HVAC systems in commercial buildings, office towers, or other large-scale facilities. Experience performing preventive maintenance, diagnosing equipment issues, and coordinating HVAC repairs. Experience providing technical guidance or mentoring to junior HVAC technicians preferred. Experience with VRF. Comprehensive knowledge of commercial HVAC systems, including: Chillers, boilers, cooling towers, and pumps. Air-handling units, rooftop units, and variable air volume (VAV) systems. Split systems, package units, and exhaust systems. Heating, ventilation, and air-conditioning controls. Strong understanding of refrigeration principles, thermodynamics, and HVAC system operation. Ability to read and interpret mechanical drawings, wiring diagrams, equipment manuals, and control sequences. Proficiency in electrical and mechanical troubleshooting, including the use of diagnostic tools and test equipment. Knowledge of building automation systems (BAS), direct digital controls (DDC), and HVAC control systems. Ability to identify equipment deficiencies, determine root causes, and recommend appropriate corrective actions. Ability to perform preventive and predictive maintenance on HVAC equipment. Knowledge of energy-efficient HVAC operation and opportunities for system optimization. Knowledge of OSHA requirements, applicable safety regulations, and safe work practices related to HVAC and building maintenance. Understanding of refrigerant-handling regulations, environmental requirements, and proper refrigerant recovery and disposal procedures. Ability to communicate effectively with building management, clients, tenants, coworkers, contractors, and vendors. Demonstrated ability to provide professional, responsive, and courteous customer service. Ability to explain technical issues, repair recommendations, and equipment conditions clearly to both technical and nontechnical audiences. Strong organizational and time-management skills, with the ability to prioritize work orders and respond to urgent maintenance needs. Ability to work independently and collaboratively as part of an engineering team. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please e-mail or call . Akridge believes that diversity and inclusivity are essential to positive long-term success and achieving our strategic business goals. We are proud to be an Equal Opportunity Employer, and we encourage diverse and talented applicants to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description ProSync is seeking passionate Information System Security Specialist III to help provide mid level cybersecurity support for Navy information systems, networks, and mission environments. This role assists in implementing, maintaining, and monitoring security controls in accordance with DoD and federal cybersecurity policies. ProSync Technology Group, LLC (ProSync) is an award-winning, SDVOSB Defense Contracting company with a strong military heritage and a record of excellence in supporting the Department of Defense and the Intelligence Community. If you have prior military service or government contracting experience, are proud to serve and support our nation, and want to help support ProSync's mission to "Define and Redefine the State of Possible," please apply today! RESPONSIBILITIES The Information System Security Specialist is responsible for supporting all aspects of a Program Information Assurance (IA) processes tailored to include minimum qualification standards, fundamental awareness and familiarity to demonstrated competency with specific experience in Cyber Security, Engineering, Test & Evaluation, (T&E) and/or Security Control Assessor (SCA) under a Certification & Accreditation (C&A) and/or Assessment & Authorization (A&A) process. The specialist should demonstrate a working knowledge of the Risk Management Framework (RMF) process and/or include prior experience with the Defense Information Assurance & Certification Accreditation Process (DIACAP). Familiarity with security policies & guidance documents to assist with the preparation and maintenance of process artifacts, traceability documents purposed for compliance with Authority to Operate (ATO) requirements. The specialist is expected to evaluate security solutions to ensure they meet security requirements for processing up to classified information, and supervise and/or maintain the operational security posture for an information system or program. Support the development, documentation, and maintenance of system security plans, procedures, and authorization artifacts. Assist in implementing security controls and ensuring compliance with applicable cybersecurity frameworks (e.g., RMF, NIST, DoD directives). Conduct routine security assessments, vulnerability scans, and configuration checks to identify and report security risks. Support incident response activities, including evidence collection, initial triage, and coordination with senior cybersecurity personnel. Maintain awareness of system configurations, user access requirements, and security posture changes. Assist in preparing documentation for system authorization, continuous monitoring, and audit readiness. Provide user support on security procedures, access requirements, and proper handling of sensitive information. Requirements A minimum of 5 years of practical experience in a Cybersecurity, Engineering, T&E or A&A (formerly C&A) related field. Must have experience working with Information Assurance tools such as DISA Enterprise Mission Assurance Support Service (eMASS), Assured Compliance Assessment Solution (ACAS) A minimum Top Secret security clearance or higher with the ability to obtain a Top Secret w/ SCI is required to be considered for this position. EDUCATIONAL REQUIREMENTS A college degree in a technical or managerial related discipline is preferred. Note: a high school diploma or high school equivalency certificate is acceptable with 2 additional years of practical experience. CERTIFICATION REQUIREMENTS May be required to hold an Interim Security Control Assessor qualification. Benefits Join PROSYNC and enjoy our great benefits! Compensation We offer sign on bonuses! We also offer bonuses that are awarded quarterly to our employees and our compensation rates are highly competitive. Health & Retirement We offer a comprehensive Health Benefits package and 401K retirement plan so you can take care of yourself and your family, now and in the future. Other health-related benefits include an employee assistance program for those difficult times or when you need to take care of your mental health. Education Individual growth is a priority at ProSync. Employees are encouraged to take advantage of our company-sponsored continuing education program so they can get their degree or that next certification they need to propel them to the next level. Work/Life Balance A healthy work/life balance is essential for building and executing your work effectively at ProSync, but it's also necessary to allow you the room to pursue everything else you want to develop in your personal life. We offer generous Paid Time Off and 11 paid holidays a year. ProSync also provides flexible work options that work with your schedule and lifestyle.

Job Description Job Description What Impact You'll Have GRVTY is seeking a motivated and experienced Data Manager to provide technical and managerial leadership over our overhead satellite imagery preprocessing operations. The ideal candidate is an experienced data operations leader with a passion for solving complex pipeline challenges, ensuring data integrity, and delivering mission-critical results in support of the DoW and Intelligence Community. This role serves as the primary communication interface between the customer and the team, translating requirements into successful execution across the full data operations lifecycle. What You'll be Owning Oversee and manage data, databases, and pipelines across the full data acquisition, curation, and preprocessing lifecycle, ensuring compliance with specified requirements and priorities Conduct regular Quality Control (QC) of data holdings to: Manage the data operations pipeline to include: Apply engineering best practices to optimize data pipeline efficiency and performance across all sensor modalities including: EO, FMV, HMI, and SAR Lead and manage team members by providing: Ensure data dictionaries, Entity Relationship Diagrams (ERDs), software comments, and documentation are regularly maintained and updated Serve as the primary customer communication interface to relay tasks and requirements and ensure successful work execution What You Must Have Active TS/SCI Clearance with the ability to obtain a CI/Poly People management experience, including: Team lead or project lead roles Independently initiating and driving projects to completion Strategic problem solver with excellent communication skills Experience in quantitative analysis and data operations, to include: Developing visualizations and processing complex data to create data-driven insights Data manipulation and ETL procedures Working knowledge of SQL and NoSQL database technologies Demonstrated experience managing databases and data pipelines Experience working with cloud architectures Experience working with large, complex geospatial data files and formats What Would be Nice to Have Experience using Agile/SAFe methodologies Experience with NGA enterprise technology systems such as NGA CORE and MLOps GEOINT Professional Certification - Fundamentals (F) Experience working with AI/ML technologies applied to geospatial data Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $160,000 - $190,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $160,000-$190,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, 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, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details

Department: Engineering Reports to: Senior Engineering Manager Location: HQ Superior, CO Salary Range: $100,000 - $135,000 Travel Requirement: Up to 20% domestic and international travel POSITION SUMMARY The Embedded Systems Engineer will serve as the in-house technical owner for an outsourced embedded and electrical engineering strategy, responsible for defining requirements, selecting and managing external engineering partners, and ensuring delivery of production-ready firmware, electronics, controls, and connected-tool platforms for Magswitch electromechanical and robotic products. KEY RESPONSIBILITIES - Write, revise, and improve firmware for both new and existing hardware - Bring up new boards and test firmware on real hardware - Debug firmware issues using logs, scopes, and basic test tools - Work with sensors, motors, I/O, and communication interfaces - Support firmware testing for prototypes and production units - Work with the sales team to help debug issues in the field - Work closely with the overseas manufacturing team, including off-hours meetings - Work with contractors and customers as needed - Stay on track with project timelines and budgets - Identify and promptly elevate any risk to project schedules and budgets to the manager MINIMUM QUALIFICATIONS - Bachelor's degree in electrical engineering or related field - Minimum of five years of relevant experience - Knowledgeable of embedded systems and programming C/C++ - Experience with motors, actuators, sensor integration, and electrically actuated tool or automation systems - Ability to write and debug board-level drivers - Experience with MCU peripherals, including SPI, I2C, ADCs, and GPIO - Experience with MCU timers, interrupts, and DMA - Experience debugging firmware using scopes, logic analyzers, and serial tools - Strong attention to detail and willingness to learn - Effective communication and organizational skills - Ability to test products hands-on and troubleshoot issues - Ability to create internal andcustomer-facingdocumentation - Ability to identify and understand relevant regulations and standards documents to ensure the product line meets all relevant standards and regulations - Ability to make intuitive decisions based on proper discernment of ideas and options - Possess strong verbal, written, and organizational skills essential to professional communication - Ability to work ina fast-pacedenvironment - Drive to expand THE TEAM's knowledge and develop new skills - International & Domestic Travel, Up to 20% Nice to haves - Ability to create and design electrical circuits, PCBs, and control schematics - Knowledge or ability to program industrial robots and PLCs - Experience with stepper motors and writing stepper motor drivers - Experience with industrial automation protocols (Ethernet/IP,Profinet, EtherCAT, Modbus and CAN Open) ABOUT US Magswitch is a global leader in magnetic lifting solutions. We design and manufacture advanced magnet technologies that help industrial and automation customers improve material handling safety and efficiency. Our products are widely used in automotive assembly and other heavy-industry automation applications with manufacturing operations worldwide. Compensation and Benefits We offer a highly competitive compensation package designed to support your health, well-being, and financial security. Our comprehensive benefits include: Medical, dental, and vision insurance Retirement plan with 401(k) matching Paid time off Paid leave programs Health Savings Account (HSA) Flexible Spending Account (FSA) Basic and Voluntary Life insurance Short- and Long-term disability insurance Employee Assistance Program (EAP) Employee referral program Tuition reimbursement In accordance with Colorado law, the salary range disclosed for this role represents a good-faith estimate of the base compensation. Actual compensation will be based on factors such as experience, skills, and qualifications. Magswitch is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic. We comply with all applicable federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, and termination.

Job Description: We are seeking an experienced Information Security Engineer with strong Microsoft Windows infrastructure expertise to support the delivery of air traffic control systems to our customers. This role will focus on the implementation of Windows-based platforms to provide a secure environment for other Saab software to run in. The ideal candidate will have hands-on experience with Windows Deployment Service, Active Directory, Group Policy management, network design, and hardware/software integration. This position plays a key role in implementing and deploying air traffic control systems for customers, ensuring Windows environments are configured to support our software while meeting safety and security regulations. This role requires both an independent drive to troubleshoot implementation and the ability to work collaboratively with teammates to integrate various system components. Key Responsibilities Architecture Design: Develop, document, and maintain comprehensive security architectures, network designs, and cloud infrastructures Risk & Vulnerability Management: Evaluate deliverable systems to identify weaknesses, perform security reviews, and execute ethical hacks or penetration tests. Leadership & Guidance: Lead information technology analysts, security engineers, and deployment teams to coordinate effective security protocols and align projects with security guidelines Design, implement, and manage Group Policy Objects (GPOs) to enforce security configurations and organizational standards within customer environments. Configure, administer, and harden Windows Server and Windows workstation systems as part of security solution deployments. Implement and maintain Active Directory security configurations, including user/group management, OU structures, and policy enforcement. Design and implement role-based access control (RBAC) and least-privilege access models. Deploy, configure, and manage endpoint protection and antivirus solutions. Apply system hardening practices aligned with industry security frameworks and best practices. Perform security assessments of Windows environments and implement remediation actions. Assist in creating secure configurations, patch processes, and compliance with security policies. Document system configurations, security controls, and deployment procedures for customer environments. Provide technical guidance and knowledge transfer to customer stakeholders when appropriate. Compensation Range: $101,600 - $132,000 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Qualifications Bachelor's degree in Systems Engineering, Computer Science, Information Technology, Information Security, or a related field (or equivalent experience). 6+ years of experience administering and securing Microsoft Windows environments. Strong hands-on experience with PowerShell scripting and automation. Proven experience creating and managing Windows domains, including development of Group Policy Objects and Active Directory structures. Experience integrating third-party software into Windows environments. Hands-on experience with Windows Deployment Services. Solid understanding of Windows security architecture and system hardening techniques. Preferred Qualifications Experience with PXE boot and BIOS configuration. Experience implementing role-based access control and identity management practices. Experience performing security assessments and remediation. Familiarity with security monitoring tools and SIEM platforms. Knowledge of security frameworks such as NIST, CIS Benchmarks, or ISO 27001. Relevant certifications such as: CompTIA Security+ CISSP Microsoft security or identity certifications GIAC certifications Key Skills Hardware/operating system/software integration Customer-facing technical delivery and documentation Windows security architecture Active Directory administration Group Policy design and implementation Endpoint security and antivirus management Identity and access management (IAM) System hardening and vulnerability remediation Security assessments and remediation Desired Tool Experience Experience with the following tools and applications is highly desirable. Microsoft Hyper-V Virtualization Splunk PDQ RSA Authentication Manager Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.

AI Engineer 4 (MLX) 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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 Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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 Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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 Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (MLX) 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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 Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Overview Configuration Manager WORK LOCATION: Hanscom AFB, MA (In Office/On Base 3 days a week) SALARY RANGE: $115,000 - $135,000 depending on experience, certifications, and qualifications JOB STATUS: Full-time; salaried SECURITY CLEARANCE: MUST have an active Secret security clearance Astrion has an exciting opportunity for a Configuration Manager to support the Survivable Airborne Operations Center (SAOC) Division at Hanscom AFB, MA. The SAOC program is a Major Defense Acquisition Program tasked with leading the development and delivery of the replacement fleet for the E-4B National Airborne Operations (NAOC). Responsibilities Responsible for maintaining technical baselines, especially software baselines, of USAF systems in accordance with Dept of Defense and USAF guidance. Design, develop, and establish configuration management documentation based on prescribed standards, program requirements, and conventional best practices. Prepare documentation for, coordinate, and lead Configuration Control Boards. Conduct closeout actions and archive all CM documentation. Report CCB status to leadership. Assist in preparing and reviewing program/project documentation, e.g. Requests for Proposals (RFPs), Statement Of Objectives (SOOs), Statements-of-Work (SOWs), Performance Works Statements (PWS), System/Technical Requirements Documents (SRD/TRD), Contract Data Requirements Lists (CDRL), AF Form 1067s, etc. and assist in source selections for systems. Review and update CM plans periodically in accordance with USAF guidance. Develop process, then maintain and standardize technical performance matrices to include capturing update steps, configuration control considerations, and approval process. Develop process documents. Maintain configuration control of assessments developed by the technical team. Qualifications Experience on Dept of Defense or Air Force acquisition programs is highly desired. Experience with Configuration Management tools. Demonstrated characteristics of a self-starter who is able to work independently and effectively interact with program team members and senior leadership.