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Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. 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. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 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).

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. 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. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 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).

Machine Learning Engineer 4 (Manager, IC) 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 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 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 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 Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ 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. 3+ 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) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning 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, (Bedford, MA) Salary Range: $105-115,000.00 depen ding on experience, certifications, and qualifications JOB STATUS: Full-Time; Salaried SECURITY CLEARANCE: Secret clearance required at time of hiring Astrion has an opportunity for a Configuration Manager to directly support the Cyberspace Security and Control System (CSCS) program, which is within the C3I and Infrastructure Division (AFLCMC/HNI) and located at Hanscom AFB, MA. REQUIRED QUALIFICATIONS: Bachelor's degree in a related field and at least five years of experience in the respective technical / professional discipline, three of which must be in the DoD OR, seven years of directly related experience with proper certifications as described in the PWS labor category performance requirements, five of which must be in the DoD. PREFERRED QUALIFITICATIONS/SKILLS: IT CM experience within the DoD environment Experience performing hardware and software configuration audits Experience performing the technical/administrative activities necessary to manage CM tools for inventory control, version control, data duplication, and media labeling. Experience producing release notes and CM reports An in-depth understanding of the configuration change control process, the role of the Change Control Board, and change control documentation Experience performing baseline administrative activities for multiple environments Experience developing briefings for management Understanding of all phases of the software development life cycle Ability to enter and manipulate data in a database Strong attention to detail Strong organizational skills and the ability to multi-task Ability to work independently and with a team Experience in MS Office Suite software require RESPONSIBILITIES: Assist in developing and administering CM plans; maintaining design traceability and integrity; convening and managing change boards; and preparing for and attending major events such as, but not limited to, Technical Interchange Meetings, Preliminary Design Reviews, Critical Design Reviews, Physical Configuration Audits, Functional Configuration Audits, and Configuration Control Boards. Provide configuration and CDRL data manager (CM/DM), quality assurance, program/project, requirements analysis, risk management, and software engineering support services in accordance with the program's Configuration Management (CM) Plan, Air Force SEAM CM processes, program development/sustainment contracts, and PMO practices. Support activities will range across the CM, quality assurance, program/project, requirements analysis, risk management, and software engineering activities outlined in the task order PWS. Activities will vary depending upon the current activities of the program/system, scope of the current development/sustainment cycle, and other corporate and program initiatives. The individual must have progressive experience in managing configuration of software, engineering documents, design drawings, engineering changes and notices, and planning/conducting design audits to enable Government ownership of the program technical baseline. The individual must have skills and experience necessary to perform the following tasks: Provide CM of all relevant program artifacts Archive acquisition documentation Review and analyze the development/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 Configuration Control Board membership list for currency and completeness. Support Engineering Assessments Prepare for, conduct, and/or support major audits such as Physical Configuration Audits and Functional Configuration Audits Record and maintain assessment and audit findings, minutes, and action items Report the Development/Sustainment 's data delivery status Support pre- and post-contract award data reviews Review and analyze the development/sustainment Contractor's conformance to CDRL requirements Process Government and development/sustainment Contractor correspondence. Support the establishment of workflows Track data item deliverables and responses Support development/sustainment of paper and automated archival systems of all covered documentation Work closely with program management, systems engineers, quality managers, draftsmen and design/manufacturing engineers in an integrated product team environment Develop and administer CM plans Maintain design traceability and integrity Assist the Government with configuration control for IT systems. This shall include configuration planning, data analysis, maintenance of configuration documentation and data, and maintaining inventory/configuration status Manage configurations of software, engineering documents, design drawings, engineering changes and notices, and planning/conducting design audits. The Contractor must have skills and experience necessary to work closely with program management, systems engineers, quality managers, and design engineers in an integrated product team environment Support review boards via meeting attendance and capture meeting minutes including the Configuration Control Board Track Change Requests and Discrepancy Reports/Problem Reports Ensure integrity of the baseline including major releases, minor releases, patches, and software maintenance Provide Quality Assurance checks on system baselines Support Licensing tasks and packaging and delivering of software to users Maintain the CM library and software repository Manage and control product baselines Recommend and document comprehensive CM plans for software, hardware, firmware, and peripherals for IT systems Analyze data and prepare plans and briefings in support of software-driven systems Perform studies and monitoring effectiveness of CM plans to identify potential and existing problems and make recommendations for resolution Audit and review IT system configurations Control the configuration of IT systems Identify and maintain all baselines Oversee the CM USAP Self Inspection Checklists, input results in MICT Create and maintain revisions to the CDRL packages Prepare and issue Data Calls Convene, manage, and participate in Data Requirements Review Boards and record approved requirements Receive and distribute CDRL data deliverables Maintain distribution lists of points of contact (POCs) of CDRL data deliverable for program's method of transmittal (i.e., a common mailbox, Integrated Digital Environment, CD-ROM, etc.) Ensure integrity of CDRL justification forms Monitor Contractor compliance of CDRL data deliverables Provide CM/DM input into all program documentation. Hanscom Campaign

Job Description Job Description Software Packaging Engineer 6 month+ Contract Hybrid, 3 days/week onsite in Vienna, VA W2 Hourly Rate: $60/hr. range Description We are seeking an experienced Software Packaging Engineer contractor to support our client's EUC Software Delivery Enhancements Project, a strategic initiative focused on modernizing software packaging and application delivery across the enterprise. The primary objective of this role is to assess, package, test, and deploy our existing portfolio of enterprise applications using Liquidware FlexApp application layering technology. The engineer will work closely with End User Computing (EUC), Engineering, Infrastructure, Security, and Business stakeholders to transform traditionally installed applications into virtualized FlexApp packages that improve application delivery, reduce operational complexity, and support both Virtual Desktop Infrastructure (VDI) and physical Windows environments. This position requires extensive experience in software packaging, application deployment, troubleshooting, and lifecycle management, with a strong preference for candidates who have experience with Liquidware FlexApp application layering. Responsibilities Software Packaging & FlexApp Migration Application Testing & Validation Software Deployment & Administration Engineering & Operational Support Required Qualifications 3+ years of Software Packaging Engineering experience Experience packaging enterprise software in Windows environments Strong knowledge of MSI packaging, application repackaging, and deployment technologies Experience with Microsoft Endpoint Configuration Manager (MECM) Proficiency with PowerShell scripting and application automation Experience troubleshooting application installation and compatibility issues Familiarity with application lifecycle management and software delivery processes Strong analytical and problem-solving skills Excellent communication and technical documentation skills Ability to work independently and collaboratively across multiple technical teams Preferred Qualifications Experience creating and managing FlexApp virtualized apps and packaging workflows Experience supporting Virtual Desktop Infrastructure (VDI) environments Experience with application virtualization and layering technologies Experience with InstallShield or similar packaging tools Familiarity with profile management and user environment management solutions Experience with Splunk, UberAgent, or endpoint monitoring tools Experience with software delivery modernization initiatives System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description About Us PrismHR is the leading payroll, benefits, and HR software for Human Resource Outsourcing (HRO) organizations, including Professional Employer Organizations (PEOs) and Administrative Service Organizations (ASOs). Powering more than 80,000+ companies, 2.5 million worksite employees, and $85 billion in payroll processed annually, PrismHR is the most efficient, reliable, and scalable software solution to help PEOs and ASOs grow and prosper. The PrismHR platform is a complete, integrated HR solution supporting the full "hire-to-retire" lifecycle of HR services. And PrismHR provides a wide range of additional resources that go beyond just technology and support: PrismHR SEEDS sales and marketing program, the annual PrismHR LIVE Conference, and numerous learning opportunities throughout the year are all designed specifically to help PrismHR customers grow their business. Position Summary The System Operations Specialist - EDI serves as the primary liaison between PrismHR clients, insurance carriers, and internal technical teams to plan, configure, and maintain Electronic Data Interchange (EDI) connections that power benefits enrollment, payroll deductions, and related data feeds. This role blends three functions: facilitator, running kickoff and status calls that keep clients, carriers, and internal teams aligned; administrator, configuring, monitoring, and troubleshooting EDI feeds to keep data accurate and on schedule; and project manager, owning EDI implementations end to end, from scoping through testing to go-live and post-launch support. Success in this role requires strong client relationship skills paired with technical fluency to resolve data and connectivity issues independently. Essential Duties & Responsibilities Client Facilitation Serve as the primary point of contact for assigned clients throughout EDI onboarding, implementation, and ongoing support. Lead kickoff, status, and troubleshooting calls between clients, insurance carriers, and internal stakeholders. Translate technical EDI requirements into clear, non-technical guidance for client and carrier contacts. Train client administrators on EDI processes, file review, and issue-reporting procedures. EDI Administration Facilitation of the file creation along with support from an engineer. Maintain accurate records of client EDI setups, carrier specifications, and connection documentation. Partner with carriers and clearinghouses to resolve mapping, format, or connectivity issues. Project Management Own EDI implementation projects end to end: scoping, timeline development, milestone tracking, testing, and go-live. Coordinate cross-functional resources (benefits, payroll, IT, carriers) to keep implementations on schedule. Communicate project status, risks, and open issues to clients and internal leadership. Manage multiple concurrent client implementations, prioritizing based on deadlines and complexity. Identify and recommend process improvements to reduce implementation time and recurring errors. Regular on-site attendance is an essential job function due to the need for secure access to systems, collaboration on sensitive technical matters, participation in operational meetings, and hands-on involvement. Marginal Functions Build, maintain and promote relationships with team members, peers across disciplines, and all other company team members ensuring effective coordination of communications and services affecting clients. Attend webinars and training to stay up to date on best practices related to the company and department. Complete projects and other duties as assigned by supervisor. Knowledge, Skills and Ambilities Experience with HR, payroll, or benefits administration platforms; PrismHR experience a plus. Demonstrated project management experience; PMP or similar certification a plus. Excellent verbal and written communication skills, with the ability to manage client relationships professionally under deadline pressure. Strong analytical and troubleshooting skills with high attention to detail. Proficiency in Excel and familiarity with project tracking tools (e.g., Smartsheet, Asana, Jira). Required Education & Experience Bachelor's degree preferred in computer science, information technology, or related field or equivalent combination of experience, skills, and education (including other relevant non-traditional degree programs, certifications, or job training programs) preferred. Two (2) to Four (4) years of in EDI, benefits administration, HRIS/HR technology, or a related client-facing role. Working knowledge of EDI file formats and standards (e.g., ANSI X) strongly preferred. Experience working in a multi-state or Professional Employer Organization (PEO) preferred. Proficiency with Microsoft Office software (Outlook, Microsoft Teams, Excel, Word, PowerPoint) and demonstrated ability to learn other applications as needed. Physical, Mental, & Communication Demands Physical Demands: Sedentary Work: Work primarily involves sitting for extended periods at a desk or computer. Manual Dexterity: Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. Mobility: Occasional movement throughout the office and at customer, meeting, conference, or training locations. Visual Acuity: Ability to read and analyze information on a computer screen, with reasonable accommodation as applicable, and in printed materials. Lifting & Carrying: Minimal lifting is required and may include handling documents and light office materials. Travel: Domestic travel up to 25% may involve extended sitting during air or ground transportation and standing or walking during client visits, meetings, and conferences. Mental Demands: Concentration and Analysis: Sustained concentration and analytical thinking are required to interpret technical and business information. Decision Making: Ability to exercise independent judgment and make timely, informed decisions based on customer and project requirements. Attention to Detail: High accuracy is required when documenting requirements, managing project information, and communicating recommendations. Problem-Solving: Continuous need to evaluate and resolve complex or Client implementation and customer issues. Multitasking: Ability to prioritize competing demands and manage multiple projects, schedules, and deadlines. Stress Management: Ability to remain effective in high-pressure, customer-facing situations and adapt to changing project conditions. Communication Demands: Interpersonal Skills: Build productive relationships and communicate effectively with customers, managers, cross-functional teams, and external contacts. Cultural Sensitivity: Communicate respectfully with individuals from diverse backgrounds, demonstrating cultural awareness and sensitivity. Written Communication: Prepare clear and accurate requirements, functional design documents, project notes, status updates, emails, and related documentation. Verbal Communication: Facilitate discussions, explain technical and industry concepts, and provide clear instructions and recommendations. Virtual Communication: Regularly use video conferencing, phone systems, and digital collaboration tools to engage customers and internal teams. Presentation Skills: Deliver effective remote and in-person presentations to customers, stakeholders, and industry audiences. This position is eligible for the following benefits: Health Insurance: Medical, dental, and vision coverage Retirement Plan: 401(k) with company match Paid Time Off: PTO, Holidays, Parental leave and Sick Leave provided as required by applicable state law Other Benefits: Life insurance, short term disability, long term disability, employee assistance program (EAP), flexible spending account (FSA), health savings account (HSA), Identity theft protection, critical illness, accident, cancer, hospital protection, legal and pet insurance. PrismHR is a fast-paced SaaS company which provides customers with a cloud-based payroll process software application. PrismHR also provides professional services including system implementation consulting, custom configurations, and training. Lastly, via the Company's Marketplace platform customers and end users access other human resources and employee benefits applications from PrismHR's Marketplace Partners. Diversity, Equity and Inclusion Program/Affirmative Action Plan: We have transformed our company into an inclusive environment where individuals are valued for their talents and empowered to reach their fullest potential. At PrismHR, we strive to continually lead with our values and beliefs that enable our employees to develop their potential, bring their full self to work, and engage in a world of inclusion. Ensuring an inclusive environment for our employees is an integral part of the PrismHR culture. We aren't just checking a box, we are truly committed to creating a workplace that celebrates the diversity of our employees and fosters a sense of belonging for everyone. This is essential to our success. We are dedicated to building a diverse, inclusive . click apply for full job details

Job Description Job Description This position is a hybrid role located in Winchester, VA. Relocation to Winchester or a surrounding commutable area is required for candidates not already within commuting distance. Title: Engineering Configuration Manager, Hydrogen Company: Heven AeroTech Location: Winchester, VA - HYBRID FLSA: Exempt Role Summary: The Engineering Configuration Manager for Hydrogen owns the configuration management and documentation backbone of Heven AeroTech's hydrogen generation and fueling technologies, guiding them from engineering development into scalable, repeatable manufacturing. Based at our Winchester, VA facility, this role governs product baselines, change control, and design documentation-ensuring hardware, software, baseline designs, and change histories remain consistent across engineering, production, and field operations. Working cross-functionally with fuel cell engineering, program management, quality, supply chain, and production teams, the Configuration Manager ensures Heven's hydrogen systems transition from concept to the production floor safely, on schedule, and at the cost and quality targets required by our defense and commercial customers. Essential Responsibilities: Bill of Materials (BOMs): Structuring and maintaining multi-level engineering BOMs and manufacturing BOMs, ensuring full traceability down to individual components, raw materials, or sub-assemblies. Change Control Management: Owning the formal end-to-end change management workflow for Engineering Change Requests/Orders (ECR / ECO / ECN), from evaluating a proposed change to routing it through approval and verifying implementation. PLM/PDM System Ownership: Administering product data management and product lifecycle management software (e.g., Windchill, Teamcenter, Arena, Aras) to enforce revision control, access permissions, and workflow rules. Cross-Discipline Alignment: Serving as the central nexus connecting design engineering, supply chain, manufacturing, and quality assurance to prevent "version drift" between design releases and vendor orders. Qualifications & Experience: Required: Bachelor's degree in Mechanical Engineering, Chemical Engineering, Manufacturing Engineering, or a related technical discipline. 5+ years of experience in product lifecycle management, manufacturing engineering, new product introduction (NPI), or a related technology transfer role. Demonstrated experience taking hardware products from engineering prototype through production, including DFM/DFA reviews and stage-gate processes. Working knowledge of BOM structures, engineering change management, and PLM/PDM tooling. Experience reading and working with engineering drawings, P&IDs, and system schematics. Strong project management skills, with the ability to coordinate cross-functional teams across engineering, supply chain, quality, and production. Excellent written and verbal communication skills, with the ability to translate technical detail into clear documentation and decisions for varied audiences. Preferred: Background in energy, aerospace, or defense hardware programs. Familiarity with high-pressure gas systems and relevant codes and standards (NFPA 2, ASME B31.3, CGA). Experience supporting hazard analyses (HAZOP, FMEA). Experience scaling manufacturing at an early-stage or low-rate-initial-production. Familiarity with defense procurement and export control considerations (ITAR/EAR, MTCR) as they relate to production planning. Direct experience with hydrogen generation/electrolyzer technology. Physical Requirements: Prolonged periods of sitting at a desk and working on a computer performing documentation, data entry, and configuration management tasks. Regular use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. Frequent movement between office areas, engineering spaces, and the production/manufacturing floor. Ability to occasionally stand and walk for extended periods while conducting reviews, inspections, or floor coordination. Ability to occasionally lift, carry, and move objects weighing up to 25 pounds (e.g., hardware components, documentation, or equipment). Occasional bending, stooping, kneeling, crouching, or reaching to inspect components, sub-assemblies, or equipment. Sufficient visual acuity to read engineering drawings, P&IDs, system schematics, and detailed technical documentation, both on screen and in print. Ability to communicate clearly and effectively, both verbally and in writing, with cross-functional teams in person and remotely. Ability to work in a manufacturing environment that may include exposure to noise, moving machinery, and high-pressure gas systems, requiring adherence to all safety protocols and use of personal protective equipment (PPE) as required. Ability to wear required PPE (e.g., safety glasses, hearing protection, closed-toe/safety footwear) when on the production floor or in testing areas. May occasionally be required to work extended hours to meet project deadlines or support production schedules. Benefits Overview: Heven AeroTech offers a competitive benefits package designed to support the health, financial security, and overall well-being of our employees and their families. Benefits include medical, dental, and vision coverage, retirement plans, paid time off/sick, and additional protections such as critical illness, hospital indemnity, accident coverage, and short- and long-term disability. Equal Employment Opportunity Statement: Heven AeroTech is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law. Budgeted Salary Range: $105,000-$135,000 USD

Job Description Job Description POSITION TITLE: Senior Controls and Automation Engineer DEPARTMENT: Engineering REPORTS TO: Engineering Manager LOCATION: Viola JOB SUMMARY: A Senior Controls & Automation Engineer to design, build, and support custom automated test equipment, manufacturing systems, and embedded control solutions for powertrain development and production support.This role bridges industrial automation, embedded hardware/firmware, and system integration, supporting everything from robotic test cells and PLC-controlled machinery to ECU-integrated embedded devices and Windows-based engineering tools. The ideal candidate is a hands-on engineer comfortable working across electrical design, firmware, PLCs, robotics, HMIs, and on-site commissioning of one-off and low-volume systems ESSENTIAL FUNCTIONS: Industrial Automation & Controls Design, modify, and maintain automated test stands, endurance systems, and manufacturing equipment Program and troubleshoot PLCs and HMIs for presses, test fixtures, and special-purpose machinery Integrate industrial robots with presses and test systems, including interlocks and safety logic Retrofit and modernize legacy equipment where original electronics or controls are obsolete Support and repair custom, one-off automation equipment used in engineering and manufacturing Embedded Hardware & Firmware Design custom embedded control hardware for test systems and product prototypes Develop firmware in C/C++ for microcontroller-based controllers Implement CAN bus communication with ECUs and vehicle subsystems Create embedded solutions for sensors, actuators, motor control, and data acquisition Support prototype development through testing, iteration, and limited production readiness Test Systems & Instrumentation Develop automated engine and motorcycle test systems for endurance, EPA mileage accumulation, and performance testing Build systems for dyno automation, robotic control, and long-duration unattended operation Integrate sensors, cameras, and data acquisition hardware for mechanical and powertrain analysis Develop data visualization and processing tools for test and lab environments Software & Interfaces Develop Windows-based engineering and test applications (Visual Studio / C#) Interface off-the-shelf HMIs and custom hardware for operator control and remote monitoring Support configuration and calibration tools for embedded and test systems ECU & System Integration Integrate and interface with automotive ECUs, including CAN messaging and control features Support ECU feature development and experimentation for R&D projects Work closely with engineering and manufacturing teams to support powertrain development Reverse engineer CAN bus data in order to interface various ECUs with custom test equipment QUALIFICATIONS: Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics, or equivalent experience 5+ years experience in industrial automation, controls engineering, or custom machinery Strong experience with: PLC programming and industrial I/O Embedded firmware development (C/C++) Electrical schematics and hardware design, PCB layout. Sensors, actuators, motors, VFDs, and safety circuits Hands-on experience commissioning and troubleshooting machines in real-world environments

Job Description Job Description Description The Internal Systems Technician serves as the technical backbone for internal operations, supporting team members across Louisiana, Texas, and Georgia. This role manages internal service desk escalations, maintains documentation and automation workflows, and oversees the technical onboarding and offboarding lifecycle. Acting as a core Tier 2 resource, the technician bridges day-to-day user support with systems administration-maintaining core Microsoft cloud infrastructure, diagnosing advanced endpoint and network issues, and driving continuous operational reliability. Key Responsibilities L2 Incident Escalation & Systems Support: Serve as the primary escalation point for internal service tickets via ConnectWise PSA. Conduct root-cause analysis on recurring technical faults, resolve complex application and OS crashes, and address advanced system issues: Identity & Directory Services: Manage hybrid identity synchronization, troubleshoot Microsoft Entra ID (Azure AD Connect / Cloud Sync), and resolve complex on-prem Active Directory, DNS, and GPO conflicts. Microsoft 365 Administration: Troubleshoot advanced Exchange Online mail flow, transport rules, message trace diagnostics, shared mailbox delegation, and OneDrive/SharePoint access governance. Endpoint & Intune Management: Build, deploy, and remediate Windows endpoint configurations using Microsoft Intune (Endpoint Manager), including compliance policies, configuration profiles, BitLocker recovery, and Autopilot deployment. Network & Connectivity: Diagnose internal VLAN segmentation, switch port mappings, VPN client/gateway routing, firewall policies, and VoIP jitter/packet-loss issues. Advanced OS Remediation: Perform deep registry modifications, profile corruption fixes, driver-level debugging, and Windows Event Viewer log forensics. Provisioning & Endpoint Lifecycle: Own end-to-end hardware/software deployment and decommissioning. Standardize zero-touch or light-touch imaging and configuration using Microsoft Intune, Windows Autopilot, and immy.bot. Internal Infrastructure & Collaboration Administration: Maintain internal collaboration structures, guest access controls, retention policies, and shared storage hierarchies across Microsoft Teams and SharePoint Online. Security, Compliance & Access Hygiene: Enforce Role-Based Access Control (RBAC) and least-privilege principles. Monitor identity security policies, Conditional Access rules, self-service password reset (SSPR), and endpoint defense platforms including DUO MFA, Huntress, and Avanan. Automation & Scripting: Leverage PowerShell to automate recurring admin tasks, bulk user provisioning, license assignments, and tenant reporting. Partner with team leads to build workflows in Rewst, zofIQ, and Power Automate. Documentation & Asset Governance: Maintain internal Standard Operating Procedures (SOPs) and infrastructure architecture diagrams in Hudu. Track hardware depreciation, lifecycle health, and Microsoft licensing tiers via Lifecycle Manager. Skills, Knowledge and Expertise Experience: 2-4 years of progressive IT systems support or MSP experience handling Tier 2 ticket resolution and identity workflows. Microsoft Cloud & Identity Stack: Proficiency with Microsoft 365 Admin Center, Exchange Admin Center, and Microsoft Entra ID. Practical experience managing and enrolling devices through Microsoft Intune / Endpoint Manager. Familiarity with Conditional Access policies, Microsoft Defender for Endpoint/Office 365, and modern authentication frameworks. Working knowledge of hybrid directory structures (Active Directory + Entra ID synchronization). Scripting & Command Line: Practical ability to run and modify basic PowerShell scripts for M365 tenant management and client troubleshooting. Networking Fundamentals: Solid understanding of TCP/IP, subnetting, DHCP reservations, DNS record management, VLAN routing, and IPsec/SSL VPNs. Platform & Tooling Ecosystem: Core & PSA/RMM: ConnectWise PSA/Manage, ConnectWise Automate/RMM, Auvik. Security & Provisioning: Huntress, Avanan/Check Point, DUO Security, immy.bot. Documentation & Automation: Hudu, Liongard, Lifecycle Manager, Rewst. Core Competencies: Analytical problem-solving mindset, methodical incident isolation skills, clear technical documentation habits, and polished communication when collaborating with cross-functional internal stakeholders. Preferred Certifications: Microsoft Certified: Endpoint Administrator Associate (MD-102), Microsoft 365 Certified: Fundamentals (MS-900), CompTIA Network+, or CompTIA Security+. Benefits Health & Wellness: Medical, dental, and vision insurance. Life Insurance: Employer-paid life insurance. Retirement: 401(k) retirement plan with company match. Time Off: Paid Time Off (PTO) and paid company holidays. Growth & Culture: Professional development and training opportunities, career advancement pathways, and employee recognition programs.

Job Description Job Description Greenfield Engineering, a Saalex Company, is seeking a Senior Operations Research Analyst to support NAVAIR programs in Patuxent River, MD. This position focuses on the capture, analysis, traceability, verification, change management, and maintenance of complex system requirements throughout the acquisition lifecycle. Position Type: Full-Time Salary: $95k-$140k (depending on experience) Work Location: Onsite. Essential Functions: Manage, maintain, and organize requirements within IBM DOORS repositories. Capture, analyze, review, and decompose system, subsystem, and interface requirements. Maintain bidirectional traceability between requirements, design artifacts, verification methods, test procedures, and validation activities. Support requirements change management activities and configuration control processes. Develop and maintain requirements relationships across multiple engineering disciplines and Integrated Product Teams (IPTs). Review requirements quality, consistency, completeness, and testability. Produce and maintain: Requirements matrices Interface Control Documents (ICDs) Requirements verification matrices Technical specifications Engineering reports Support requirements reviews, technical interchange meetings, and engineering working groups. Assist with requirements verification and validation efforts throughout the system lifecycle. Analyze historical requirements data and engineering documentation to support system engineering decisions. Provide guidance to stakeholders on requirements management best practices. Support integration activities involving DOORS, Cameo, ENOVIA, and other lifecycle management tools when applicable Other duties as assigned or required. Requirements Required: 5+ years of experience in requirements management, systems engineering, or related engineering disciplines. Demonstrated experience using IBM Engineering Requirements Management DOORS . Experience maintaining requirements traceability and requirements databases. Experience performing requirements analysis, decomposition, allocation, and verification planning. Experience supporting DoD, NAVAIR, Navy, or other federal acquisition programs. Experience supporting engineering teams and IPTs throughout the system lifecycle. Strong technical writing and documentation skills. Ability to manage complex technical requirements across multiple stakeholders. Experience supporting requirements reviews, audits, and configuration management activities. Desired: Experience with IBM DOORS Next Generation (DNG). Experience integrating DOORS with engineering lifecycle management tools. Experience with: Cameo Systems Modeler MBSE methodologies ENOVIA Rational Team Concert Rational Quality Manager Rhapsody Experience supporting Navy aviation programs or PMA organizations. Knowledge of requirements verification, validation, and test planning processes. Experience developing requirements management processes, standards, or training materials. Education/Years of Experience: Bachelor's degree in Engineering, Systems Engineering, Computer Science, or related technical discipline, or equivalent relevant experience Security Clearance: Active Secret clearance required. Requirements to obtain a clearance include US Citizenship, security investigation, etc. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development Wellness Resources Stock Option Plan

Job Description Job Description Description: At The One 23 Group, our mission is to set the benchmark for excellence in government services. We empower our clients in the Department of War, Intelligence Community, and Federal Civilian sectors to excel with our advanced capabilities. Our dedication lies in fostering a people-first culture, underpinned by steadfast ethical principles. Embracing innovative technologies and process improvements, we are steadfast in our journey toward a future that is both bright and transformative. Our expertise spans Enterprise IT, Mission IT and Cyber. With our global footprint, we place a strong emphasis on nurturing our people and culture, which forms the core of our successful strategies in leadership and financial management. We pride ourselves on our extensive experience and effective approach, ensuring that we lead with both innovation and integrity. The Position: The Database Manager (Senior) provides senior-level database administration and management support for enterprise systems supporting Joint Staff Command and Control (C2) operations. This role ensures database performance, security, and availability across production and contingency environments. Responsibilities: Design, implement, and maintain enterprise database systems. Monitor and optimize database performance, including query tuning and indexing. Manage database backup, recovery, and data integrity processes. Administer database security, including access controls and permissions. Support database integration with applications and enterprise systems. Perform testing and validation for upgrades, patches, and releases. Troubleshoot database issues and support incident resolution. Maintain database documentation, configurations, and procedures. Support data replication, synchronization, and high-availability solutions. Provide technical leadership and guidance for database operations. Additional Information: On-site at the Pentagon. Requirements: Active Top Secret clearance with SCI eligibility; AND DoD IAT Level II certification; AND 10+ years of database administration experience; AND Experience managing enterprise database systems PREFERRED: Database Platforms Experience with Oracle, PostgreSQL, SQL Server, or other enterprise database platforms Experience supporting DoD or classified database environments Performance & Optimization Experience with query optimization, indexing, and database performance tuning Familiarity with capacity planning and high-availability architectures Backup & Recovery Experience with enterprise backup solutions and disaster recovery planning Familiarity with replication, clustering, and failover technologies Security & Compliance Experience applying DISA STIGs to database systems Familiarity with database auditing and security hardening Enterprise Integration Experience supporting databases integrated with C2 systems Experience working in multi-tier enterprise architecture Equal opportunity employer, including disability/vets.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Key Responsibilities GCP Foundation, Landing Zones & Infrastructure-as-Code Cloud Architecture & Automation: Design, build, and maintain enterprise GCP infrastructure using Terraform/Terragrunt, enforcing Infrastructure-as-Code (IaC) and GitOps practices for all cloud environments. Landing Zone Governance: Own the configuration and security baseline of GCP Organization structures, Projects, Folders, Resource Hierarchies, and IAM roles/permissions using least-privilege principles. Network & Hybrid Connectivity: Configure and maintain GCP Shared VPCs, VPC Service Controls (VPC-SC), Cloud Interconnect, Cloud VPN, Cloud DNS, Firewall Rules, and load balancers to support secure, low-latency hybrid connectivity between GCP services, Apigee X, and Oracle Exadata / JDE ERP environments. Apigee X & Oracle Exadata / JDE ERP Integration Support Apigee X Platform Engineering: Provision, configure, and maintain Apigee X runtime environments, API gateways, PSC (Private Service Connect) attachments, and load balancers in accordance with enterprise security baselines. Oracle Exadata & JDE Interconnect: Engineer and maintain high-performance, resilient hybrid network topology (Cloud Interconnect/Partner Interconnect) linking GCP applications and Apigee gateways directly to Oracle Exadata database systems and JDE backend services. API Security & Traffic Controls: Work alongside Integration Architects to enforce mTLS, VPC Service Controls, rate limiting, and secure endpoints across Apigee X, GCP microservices, and Exadata/JDE integration boundaries. Containerization, Compute & Serverless GKE & Kubernetes Management: Deploy, secure, and operate Google Kubernetes Engine (GKE) clusters powering enterprise Spring Boot microservices, AI workloads, and internal developer platforms. Serverless Execution: Configure and support serverless workloads using Cloud Run, Cloud Functions, and App Engine, optimizing performance and latency for transactional database and API flows. Platform Reliability: Build automated deployment pipelines using GitHub Actions or Cloud Build to support seamless infrastructure provisioning and application cutovers. FinOps & Cloud Cost Optimization Cost Allocation & Visibility: Establish FinOps standards across GCP projects, implementing label/tagging enforcement, budget alerts, and showback/chargeback reporting for business units. Resource Tuning: Analyze resource utilization (Compute Engine, GKE, Cloud SQL, BigQuery) to right-size instances, optimize committed use discounts (CUDs), and eliminate unused infrastructure. Security, Compliance & Observability Cloud Security Posture: Implement CISO security standards, including GCP Secret Manager, KMS, mTLS, SAST/DAST container vulnerability scanning, and binary authorization. Observability Baseline: Build and maintain centralized logging, monitoring, and distributed tracing across all GCP environments, Apigee instances, and Exadata/JDE connectivity paths using Google Cloud Operations Suite (Cloud Logging, Cloud Monitoring, Cloud Trace). Minimum Requirements Experience: 10+ years of enterprise IT/infrastructure experience, with at least 4+ years dedicated to designing, engineering, and operating production environments on Google Cloud Platform (GCP). Apigee & Database/ERP Interconnect: Hands-on experience provisioning and supporting Apigee X / Apigee Edge environments and managing hybrid interconnectivity to high-performance database infrastructure (Oracle Exadata) and enterprise ERP systems (JD Edwards). IaC & Automation Mastery: Expert-level hands-on skills with Terraform, Git, and CI/CD pipelines (GitHub Actions, Cloud Build, or GitLab CI). Kubernetes & Containers: Strong experience deploying and managing production Google Kubernetes Engine (GKE) clusters and Docker containerized applications. GCP Networking & Security: Deep understanding of GCP VPC networking, Shared VPCs, Private Service Connect (PSC), VPC Service Controls, Cloud Interconnect, IAM, and GCP security controls. Scripting: Proficiency in Python, Bash, or Go for cloud automation and tooling development. FinOps Understanding: Practical experience implementing cloud cost optimization, quota management, and resource right-sizing strategies. Technical Skills Google Cloud Services: GKE, Cloud Run, Cloud SQL, BigQuery, Cloud Storage, VPC Service Controls, Secret Manager, IAM, Cloud Logging, Cloud Monitoring, Cloud Trace. API Management & Hybrid Database/ERP: Apigee X, Apigee Edge, Private Service Connect (PSC), Cloud Interconnect, Oracle Exadata database connectivity, JD Edwards (JDE) hybrid interconnectivity. Infrastructure-as-Code: Terraform, Terragrunt, Helm, Docker, Kubernetes. Networking & Security: Shared VPC, Cloud VPN, Cloud Interconnect, Firewalls, mTLS, OAuth 2.0, KMS, Least Privilege IAM. CI/CD & DevOps: GitHub Actions, Cloud Build, GitHub Advanced Security (GHAS), Git, Linux/Unix administration. Scripting & Tooling: Python, Bash, Go, gcloud CLI. Certifications & Education Certifications: Google Professional Cloud Architect or Google Professional Cloud DevOps Engineer (required or to be obtained within 6 months). Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience. About McKesson Medical-Surgical McKesson Medical-Surgical (MMS), which is expected to become Wellverse in early 2027, is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we collaborate with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 270,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $115,300 - $192,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Key Responsibilities GCP Foundation, Landing Zones & Infrastructure-as-Code Cloud Architecture & Automation: Design, build, and maintain enterprise GCP infrastructure using Terraform/Terragrunt, enforcing Infrastructure-as-Code (IaC) and GitOps practices for all cloud environments. Landing Zone Governance: Own the configuration and security baseline of GCP Organization structures, Projects, Folders, Resource Hierarchies, and IAM roles/permissions using least-privilege principles. Network & Hybrid Connectivity: Configure and maintain GCP Shared VPCs, VPC Service Controls (VPC-SC), Cloud Interconnect, Cloud VPN, Cloud DNS, Firewall Rules, and load balancers to support secure, low-latency hybrid connectivity between GCP services, Apigee X, and Oracle Exadata / JDE ERP environments. Apigee X & Oracle Exadata / JDE ERP Integration Support Apigee X Platform Engineering: Provision, configure, and maintain Apigee X runtime environments, API gateways, PSC (Private Service Connect) attachments, and load balancers in accordance with enterprise security baselines. Oracle Exadata & JDE Interconnect: Engineer and maintain high-performance, resilient hybrid network topology (Cloud Interconnect/Partner Interconnect) linking GCP applications and Apigee gateways directly to Oracle Exadata database systems and JDE backend services. API Security & Traffic Controls: Work alongside Integration Architects to enforce mTLS, VPC Service Controls, rate limiting, and secure endpoints across Apigee X, GCP microservices, and Exadata/JDE integration boundaries. Containerization, Compute & Serverless GKE & Kubernetes Management: Deploy, secure, and operate Google Kubernetes Engine (GKE) clusters powering enterprise Spring Boot microservices, AI workloads, and internal developer platforms. Serverless Execution: Configure and support serverless workloads using Cloud Run, Cloud Functions, and App Engine, optimizing performance and latency for transactional database and API flows. Platform Reliability: Build automated deployment pipelines using GitHub Actions or Cloud Build to support seamless infrastructure provisioning and application cutovers. FinOps & Cloud Cost Optimization Cost Allocation & Visibility: Establish FinOps standards across GCP projects, implementing label/tagging enforcement, budget alerts, and showback/chargeback reporting for business units. Resource Tuning: Analyze resource utilization (Compute Engine, GKE, Cloud SQL, BigQuery) to right-size instances, optimize committed use discounts (CUDs), and eliminate unused infrastructure. Security, Compliance & Observability Cloud Security Posture: Implement CISO security standards, including GCP Secret Manager, KMS, mTLS, SAST/DAST container vulnerability scanning, and binary authorization. Observability Baseline: Build and maintain centralized logging, monitoring, and distributed tracing across all GCP environments, Apigee instances, and Exadata/JDE connectivity paths using Google Cloud Operations Suite (Cloud Logging, Cloud Monitoring, Cloud Trace). Minimum Requirements Experience: 10+ years of enterprise IT/infrastructure experience, with at least 4+ years dedicated to designing, engineering, and operating production environments on Google Cloud Platform (GCP). Apigee & Database/ERP Interconnect: Hands-on experience provisioning and supporting Apigee X / Apigee Edge environments and managing hybrid interconnectivity to high-performance database infrastructure (Oracle Exadata) and enterprise ERP systems (JD Edwards). IaC & Automation Mastery: Expert-level hands-on skills with Terraform, Git, and CI/CD pipelines (GitHub Actions, Cloud Build, or GitLab CI). Kubernetes & Containers: Strong experience deploying and managing production Google Kubernetes Engine (GKE) clusters and Docker containerized applications. GCP Networking & Security: Deep understanding of GCP VPC networking, Shared VPCs, Private Service Connect (PSC), VPC Service Controls, Cloud Interconnect, IAM, and GCP security controls. Scripting: Proficiency in Python, Bash, or Go for cloud automation and tooling development. FinOps Understanding: Practical experience implementing cloud cost optimization, quota management, and resource right-sizing strategies. Technical Skills Google Cloud Services: GKE, Cloud Run, Cloud SQL, BigQuery, Cloud Storage, VPC Service Controls, Secret Manager, IAM, Cloud Logging, Cloud Monitoring, Cloud Trace. API Management & Hybrid Database/ERP: Apigee X, Apigee Edge, Private Service Connect (PSC), Cloud Interconnect, Oracle Exadata database connectivity, JD Edwards (JDE) hybrid interconnectivity. Infrastructure-as-Code: Terraform, Terragrunt, Helm, Docker, Kubernetes. Networking & Security: Shared VPC, Cloud VPN, Cloud Interconnect, Firewalls, mTLS, OAuth 2.0, KMS, Least Privilege IAM. CI/CD & DevOps: GitHub Actions, Cloud Build, GitHub Advanced Security (GHAS), Git, Linux/Unix administration. Scripting & Tooling: Python, Bash, Go, gcloud CLI. Certifications & Education Certifications: Google Professional Cloud Architect or Google Professional Cloud DevOps Engineer (required or to be obtained within 6 months). Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience. About McKesson Medical-Surgical McKesson Medical-Surgical (MMS), which is expected to become Wellverse in early 2027, is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we collaborate with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 270,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $115,300 - $192,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities . click apply for full job details

Amazon Web Services, Inc. is seeking a Data Center Manager to lead 24x7 operations in a high-availability cloud environment. You will own uptime, capacity, and reliability for critical AWS infrastructure, managing a team of technicians and engineers. Responsibilities include incident, change, and problem management; capacity planning; hardware lifecycle; and vendor coordination. You will enforce strict security, safety, and compliance standards while driving continuous improvement, automation, and cost optimization in a fast-paced, customer-obsessed culture focused on innovation and ownership. Responsibilities Own day-to-day operations of an AWS data center, ensuring high availability and uptime for critical cloud services. Manage and mentor a team of data center technicians and engineers, including scheduling and performance management. Oversee capacity planning, hardware lifecycle, and infrastructure upgrades to meet growth and reliability goals. Implement and improve operational processes for incident, change, and problem management in a 24x7 environment. Ensure compliance with AWS security, safety, and regulatory standards across all facility operations. Collaborate with engineering, networking, and AWS service teams to resolve complex infrastructure issues. Monitor performance and health of data center systems using metrics, dashboards, and automation tools. Manage vendor relationships, on-site contractors, and maintenance activities to minimize risk and downtime. Drive continuous improvement initiatives focused on efficiency, resilience, and cost optimization. Report operational metrics, risks, and improvement plans to leadership and key stakeholders. Required Skills Data center operations management Capacity planning and scaling Incident and problem management IT infrastructure (servers, storage, networking) Change and configuration management Vendor and contract management Monitoring and alerting tools (e.g., Cloud Watch, DCIM) Budgeting and cost optimization IT security and compliance People leadership and shift management

Every day, customers run millions of queries on Amazon Athena, from ad-hoc exploration to mission-critical pipelines. Athena is now building its next-generation engine across multiple engines and the Engine Front End team is responsible for the query lifecycle management and routing queries to the right engine with the optimal configuration. Amazon Athena is an interactive query service that simplifies data analysis in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to set up or manage. Our customers use Athena to process logs, perform data analytics, and run interactive queries and get started quickly. This is all done through a simple, easy to use API in front of a complex, distributed system. Key job responsibilities Our ideal candidate has strong programming skills and sound judgment about distributed systems that customers depend on every day. As an SDE II on the team you will own features and services end to end: shape designs with input from senior engineers and your manager, build, test, ship through our release pipelines, and operate what you ship in production. The problems are concrete and hard. Route millions of queries a day across engine generations without customers noticing. Prove a new engine build is safe before it takes production traffic. Keep the submission path fast and reliable while the engine underneath it changes. Everything you ship is exercised by every query Athena runs, so we care about engineers who sweat correctness, deployment safety, and failures that make sense to customers. We expect you to learn the system deeply, raise problems we have not spotted yet, and grow toward driving designs independently. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 158 800.00 USD annually

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The Service Transformation and Deployment Automation team aims to remove all manual touchpoints from service operations within Amazon Web Services (AWS) Networking, one of the world's largest and most complex networks. Software Development Engineers are instrumental in discovering innovative ways to automate and scale services. They drive stability, consistency, and sustainability of the network while never losing sight of the high security bar our customer's demand. We own a container compute platform in the border network, network device access and locality software, and a business intelligence platform for providing insights into service maturity. This position is located in Minneapolis, USA and working in the heart of AWS global network. Millions of customers rely on Amazon's network for using our retail websites, accessing content on their Kindles, and building applications and businesses on top of the Amazon Web Services (AWS) Cloud. Our goal is to become The Infrastructure Platform for the world - achieving this goal requires automated and massively scalable software services. Success depends on our world-class network infrastructure, and our network depends on our automation. This position involves on-call responsibilities, typically for one week every two months. We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don't get paged for the same issue twice. Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Key job responsibilities You will be responsible for the design, implementation and quality of services you deliver. Your experience working in software development or in an enterprise environment will help us implement automated solutions across a variety of applications and systems. You'll also: • Design, implement, test, deploy and maintain innovative solutions to transform service performance, durability, cost, and security. • Write high quality distributed system software. • Work in an agile, startup-like development environment, where you are always working on the most important stuff. • Work closely with our Network/Systems/Software Engineering teams to ensure fast and smooth roll-out of new designs and products, as well as assist with deployment and sustaining of networking software tools. • Use data to measure success and take responsibility for the quality of your service and, regardless of their source, strive to prevent faults from impacting your customers. • Use your strong problem-solving skills, ability to understand and scope solutions, work across teams to drive solutions. • Contribute to documentation of process and procedures. • Learn from others and help grow those in your team to achieve their best. • Take ownership, consider tradeoffs and lean on your expertise to ensure the job gets done. • Participate in an on-call rotation with your team. A day in the life Engineers in the Backbone Enterprise and Regional Engineering (BERE) organization have a wide range of responsibilities; we work with internal partners to develop and implement the next-generation platforms along with the tooling ecosystems to support these platforms driving efficiency and scalability through the automation of builds, configuration deployment, and the scaling of capacity. As our network is one of the largest in the world, there is no blueprint allowing our engineers to develop solutions to complex challenges that we face daily. We encourage durable solutions that look around corners while taking into consideration our customer needs from a cost, performance, and reliability perspective. Our team develops tooling that provides the required visibility and control of traffic across the network, while prioritizing the automatic mitigation of events to minimize the impact to our customers during events. In this role you: • Work in a 24x7 team on-call rotation, with ability to drive into workplace for critical events/needs. • Manage customers during problem resolution and operating efficiently under pressure. • Sit at the computer during scheduled work hours with appropriate breaks while maintaining a high level of alertness and attention to detail. • Travel to data center/network sites and Amazon/customer offices as needed. About the team Within AWS Networking, the Backbone Enterprise, and Regional Engineering (BERE) organization is responsible for the design, implementation, and operations of a wide array of networking infrastructure that provide global connectivity between all AWS Regions and edge locations. BERE provides the massive scale required to support our AWS customers and internal services, via a network that experiences 70% growth annually. In addition, they have teams that are responsible for the design and operation of our global corporate office and Data Center network, allowing tens of thousands of Amazonians to perform their daily tasks in support of our customers. AWS Global Connectivity and Network Availability (GCNA) Videos: • Working at AWS in the GCNA Team - Meet Robert, VP: • Working at AWS in the GCNA Team - Meet Xiaonan, Sr. Systems Development Engineer: Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers . click apply for full job details

Job Description Job Description AEITS, Inc. , a GTSC company, is growing its team! Seeking a Configuration Manager, Level 3 . Location: Annapolis Junction, MD All work is on-site. This is not a hybrid or remote position. Mission : Responsible for configuration management (CM) of developmental and operational systems. Works on developmental and operational teams to create and maintain configuration baselines (development, test, production, etc.) supporting developmental and operational systems. Uses or recommends automated CM tools to implement CM policies and procedures. Develops or modifies CM plans, policies, and procedures tailored to the complexity and scope of the developmental or operational system. Implement CM discipline for the entire life cycle of systems from initial requirements/capabilities baselines to system end-of-life. Perform change control and configuration audits. Clearance: Active Top Secret SCI with appropriate polygraph. Certifications: None. Requirements: Eight (8) years' experience as a CM in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in a technical or business discipline from an accredited college or university is required. Four (4) years of additional CM experience may be substituted for a bachelor's degree; or A Master's degree may be substituted for two (2) years of experience, thereby reducing the total years of experience to six (6). If assigned to a developmental program, one (1) year of experience using a source code control system for a developmental program of similar scope and complexity is required. BENEFITS - Full-time Employees 401K with employer contribution. Fully vested at 1 year anniversary. Five (5) weeks comprehensive annual leave (25 workdays). Additional leave can be earned in lieu of overtime. 11 Paid Federal Government Holidays. Up to $5,000 annually for individually tailored education / training program. All education plans must be pre-approved by Advantage Engineering management. Life Insurance at 1x annual salary with employee option to purchase additional coverage for self and dependents. Short-term and long-term disability. We contribute a generous portion towards the cost of monthly medical plans for any of the three medical, 1 dental and 1 vision plan provided by CareFirst. All employees are eligible to earn generous incentives and performance bonuses. AEITS, a GTSC compan y, is proud to be an equal opportunity employer, committed to recruiting, hiring, and promoting qualified people of all backgrounds, regardless of sex, race, color, creed, national origin, religion, age, marital status, pregnancy, physical, mental or sensory disability; sexual orientation; gender identity or any other basis protected by federal, state or local law. Learn more about your EEO rights as an applicant. GTSC is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. If you have a disability and require assistance with our online application process, please tell us how we can help by contacting us at AEABERDARE