1666 jobs found

Job Description Job Description Network Engineer (Journeyman) - DoD NOC Wichita, KS Location: Wichita, KS (100% Onsite - McConnell AFB) Clearance: Active or Interim Secret (required) Salary: $85,000 - $95,000 + $3,000 relocation assistance Employment Type: Full-Time (Direct Hire, W-2) Start Date: Mid-June 2026 Overview We are hiring 2 Network Engineers (Journeyman level) to support a U.S. Air Force / Air National Guard Network Operations Center (NOC) at McConnell Air Force Base in Wichita, KS . This role supports a Base Area Network (BAN) modernization program , providing Tier 2/3 network operations and troubleshooting across multiple Air National Guard installations. This is an excellent opportunity for early-career to mid-level engineers looking to grow within a mission-critical DoD network environment . What You'll Do Provide Tier 2 / Tier 3 network support in a NOC environment Troubleshoot routing and switching issues (Cisco-based) Monitor network health using tools like SolarWinds / NMS platforms Support incident response, ticket resolution, and change management Assist with: VLANs, trunking, and switching issues Routing protocols (OSPF, EIGRP, basic BGP exposure) Firewall changes and log analysis (ASA/Firepower) Maintain network configurations and documentation Support STIG compliance and remediation efforts Participate in on-call rotation (24/7 support model) Required Qualifications Active or Interim DoD Secret clearance (must be in-scope) 3-7 years of network engineering or network operations experience Experience with: Cisco routers and switches LAN/WAN environments Ticketing systems (ServiceNow, Jira, etc.) One of the following (required): CompTIA Security+ CE (or equivalent IAT-II certification) OR willingness to obtain Security+ prior to start One of the following (required): CCNA CompTIA Network+ U.S. Citizenship required Preferred (Nice to Have) Experience in DoD or federal environments (USAF, ANG, DHA, Army, etc.) Familiarity with: NIPR/SIPR networks STIG / ACAS environments Basic firewall operations Exposure to NOC operations or monitoring tools Not the Right Fit If You Are: Looking for a senior or architect-level role Expecting compensation significantly above the stated range Not interested in hands-on operational / NOC work Compensation & Benefits Salary: $85K - $95K Relocation Assistance: $3,000 Full benefits package: Medical / Dental / Vision 401(k) PTO + federal holidays Additional Requirements Must be able to work onsite at McConnell AFB (Wichita, KS) Participation in on-call rotation required (24/7 environment) Ability to respond to critical issues within 2 hours if needed Why This Role? Direct support to Air Force mission operations Exposure to enterprise DoD network environments Growth path into senior network engineering roles Stable, long-term federal program with extension potential Interested? Apply with: Resume Clearance status (level + in-scope status) Certification status (Security+, CCNA, etc.) Salary expectations Availability 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 Position Summary PACE Systems is seeking a CAD Systems Engineer to support the creation, management, and lifecycle maintenance of AutoCAD drawings for access control, video surveillance, and related security systems at O'Hare and Midway International Airports in Chicago . This is a full-time, on-site position with travel between airport locations as needed. This is a hands-on CAD role focused on drawing management, as-built documentation, field verification, and change control . The ideal candidate will have experience working with security or access control infrastructure and be comfortable coordinating with field technicians, engineers, project teams, and customer stakeholders in active operational environments. Key Responsibilities Manage and maintain AutoCAD drawings for campus-scale access control and security systems, including device layouts, wiring diagrams, and system schematics. Create and update accurate as-built drawings reflecting field changes to panels, controllers, readers, cameras, and related security infrastructure. Collaborate with field technicians, engineers, and project teams to verify drawing accuracy and support commissioning and project closeout activities. Maintain CAD drawing standards, layer conventions, document libraries, revision history, and version control. Support system upgrades and modifications by updating affected drawings through controlled change-management processes. Develop and maintain technical documentation, CAD standards, and drawing procedures. Produce space plans, architectural base plans, square-footage calculations, and construction drawings using 2D/3D BIM/CAD software. Conduct field verifications to confirm existing and as-built conditions. Review specifications, sketches, drawings, and supporting data to evaluate building conditions and security device placement. Assist with GIS data maintenance related to facility and security infrastructure. Provide basic desktop support for Windows-based end users, including hardware, software, and connectivity troubleshooting. Support system cutovers and testing during scheduled after-hours maintenance windows as needed. Interface directly with customers and project stakeholders to resolve issues efficiently and professionally. Participate in on-call support for airport operations at O'Hare and Midway. Required Qualifications Associate degree in Architectural Drafting, CAD, Engineering Technology, or a related discipline ; bachelor's degree preferred. 1+ years of experience in planning, design, field verification, or related technical drafting work. Proven experience creating and maintaining AutoCAD drawings for enterprise- or campus-level security or access control systems . Strong hands-on proficiency with AutoCAD 2019 or later , with 2D architectural and infrastructure drafting experience required; 3D experience is a plus. Experience working with building floor plans, IT systems, IT devices, architectural drawings, and related terminology. Ability to read, interpret, redline, and update security system drawings and specifications. Basic desktop support experience for Windows-based systems, including hardware, software, and connectivity troubleshooting. Ability to work independently while collaborating closely with engineering, field, service, and project teams. Strong written and verbal communication skills. Strong organizational, analytical, troubleshooting, and problem-solving abilities. Detail-oriented with the ability to manage multiple priorities and meet project deadlines. Proficiency with Microsoft Office applications, including Word, Excel, PowerPoint, Access, and web-based applications. Customer-focused mindset with the ability to work effectively in active operational environments. Preferred Qualifications Bachelor's degree in CAD Design, Drafting, Engineering Technology, or a related field. Experience supporting airport, critical infrastructure, government, healthcare, higher education, or other regulated/high-availability environments . Familiarity with Revit, BIM 360, or similar CAD/BIM platforms . Knowledge of Esri products and GIS data management . Working knowledge of physical security system components, including: Access control panels, controllers, and readers CCTV/video surveillance devices and layouts Low-voltage cabling and security device symbol libraries AutoCAD certification or formal CAD training. Experience working within formal change-management and security-compliance processes. Work Environment & Additional Requirements Must be able to qualify for and maintain required airport badging and CBP access . Valid driver's license required. Must be available for periodic on-call rotations and overnight system-maintenance activities. Ability to travel locally between O'Hare and Midway airports as needed Company Description Pace Systems provides comprehensive IT, Security, Audio Visual, and Software Solutions to medium and enterprise-level organizations, including those in healthcare, higher education, and commercial real estate. Our company has been providing technology solutions since 1983 and we pride ourselves on implementing true end-to-end solutions all under one roof - from design and implementation to on-going service and support. Equal Opportunity Employer. We provide equal employment opportunities consistent with the Illinois Human Rights Act and applicable federal law. We do not discriminate or retaliate based on protected characteristics, including race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, ancestry, age (40+), disability, marital status, military status, unfavorable military discharge, order-of-protection status, citizenship or work-authorization status, arrest record, conviction record, family responsibilities, or reproductive health decisions. Company Description Pace Systems provides comprehensive IT, Security, Audio Visual, and Software Solutions to medium and enterprise-level organizations, including those in healthcare, higher education, and commercial real estate. Our company has been providing technology solutions since 1983 and we pride ourselves on implementing true end-to-end solutions all under one roof - from design and implementation to on-going service and support. Equal Opportunity Employer. We provide equal employment opportunities consistent with the Illinois Human Rights Act and applicable federal law. We do not discriminate or retaliate based on protected characteristics, including race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, ancestry, age (40+), disability, marital status, military status, unfavorable military discharge, order-of-protection status, citizenship or work-authorization status, arrest record, conviction record, family responsibilities, or reproductive health decisions.

Machine Learning Engineer 5 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 or Machine Learning 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 Machine Learning 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 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description The Data Analytics and Reporting Manager is responsible for leading the day-to-day execution of OANA's Data & Analytics organization, ensuring the successful delivery of reporting, analytics, data engineering, data integration, and operational data services across the enterprise. This role serves as the operational leader of the Data Team and is accountable for managing the team's daily workload, project execution, production support, incident management, stakeholder engagement, and personnel development. The Data Analytics and Reporting Manager executes the strategic vision established by the Director of Data & Software Development and ensures alignment with enterprise architecture, governance standards, and business priorities. As OANA continues its modernization journey through the Cortex Data Mesh platform, this role will help drive the implementation and operation of enterprise data products, APIs, reporting solutions, and analytical capabilities that support Underwriting, Claims, Accounting, Sales, Risk Management, and future business domains. KEY RESPONSIBILITIES Team Leadership & People Management Lead and manage daily operations of the Data & Analytics team Conduct regular one-on-one meetings and performance reviews Manage employee performance, coaching, mentoring, and career development Establish workload priorities and resource allocation Support recruiting, interviewing, onboarding, and training activities Develop succession plans and growth opportunities within the team Foster a culture of accountability, continuous improvement, and customer service Data Delivery & Operational Management Own successful execution of enterprise reporting, dashboards, data products, and engineering initiatives Ensure timely delivery of Accounting month-end, Claims, Underwriting, Executive, and Regulatory reporting Manage data integration efforts, operational support, production incidents, and data quality investigations Monitor team performance against service level agreements and delivery commitments Project & Portfolio Execution Oversee data platform initiatives, BI projects, reporting enhancements, data migration, and API development Lead sprint planning, backlog grooming, resource planning, and task prioritization Manage dependencies, identify risks, and maintain stakeholder communication Provide regular status updates to the Director of Data & Software Development Incident & Production Support Management Serve as operational owner for data incidents, reporting failures, integration/ETL issues, and data quality concerns Lead incident triage, root cause analysis, escalation management, and resolution tracking Develop preventative action plans and maintain proper monitoring and support processes Data Product & Data Mesh Operations Support implementation and operation of OANA's Cortex Data Mesh architecture Manage data product lifecycle, quality monitoring, domain ownership, and data catalog maintenance Ensure data products remain aligned with enterprise standards and business requirements API & Integration Delivery Lead operational delivery of APIs and integrations, including but not limited to Guidewire InsuranceSuite. Manage API backlog, integration prioritization, data contracts, and performance monitoring Support the evolution of Cortex as the enterprise source of truth and integration hub Stakeholder Management Act as primary operational contact for Accounting, Claims, Underwriting, Sales, Risk Management, and IT Operations Lead requirement clarification, prioritization discussions, status communications, and issue resolution Escalate strategic decisions and conflicts to the Director. TECHNICAL RESPONSIBILITIES The Data Analytics and Reporting Manager should possess sufficient technical expertise to guide the team, review designs, and participate in solution architecture discussions across the following areas: Data Architecture Data Mesh, Data Warehouse, Data Lakehouse, Operational Data Stores Master Data Management and Data Product architecture Software Development Practices Agile/Scrum, SDLC, CI/CD, Source Control, API Lifecycle Management, Testing Methodologies Data Engineering ETL/ELT methodologies, data modeling, transformation and quality frameworks, data lineage Analytics & Reporting Executive dashboards, operational reporting, self-service analytics, KPI development, performance scorecard Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field 10+ years in Data Analytics, Business Intelligence, Data Engineering, or Data Management 10+ years of Property & Casualty insurance industry experience 3+ years of leadership experience managing technical teams Experience managing both analysts and engineers Experience delivering enterprise reporting and analytics solutions Strong understanding of data architecture principles Experience leading Agile teams and project delivery Strong communication and stakeholder management skills

Machine Learning Engineer 5 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 or Machine Learning 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 Machine Learning 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 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 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 or Machine Learning 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 Machine Learning 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 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 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 or Machine Learning 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 Machine Learning 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 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Strong SCADA Skills? We've Got Projects That Go Beyond the Screen. We are RED Group. And We're Thinking Ahead. RED Group is an Industrial Control Systems (ICS) technology development and integration firm specializing in Process Automation, IT/OT Consulting, and Industrial Cybersecurity. We stand out in experience and expertise. We are committed to an employee-centric culture of success where we put our people first and give our staff the opportunities and push that they need to succeed and improve. As a result, they give their utmost to help our clients and get better at what they do each day. Our mission is to add value to our clients' organizations by selecting and deploying the proper resources and technology to ensure their goals are realized. Our team of Engineers, Consultants, Programmers, and Technicians provide the valuable expertise necessary for efficient and secure ICS/OT environments. TAKE CONTROL and join our team as a SCADA Developer ! We're looking for a motivated individual to be part of our innovative and collaborative team. This role offers a blend of in-office collaboration with on-site client support, offering the ideal mix of variety and challenge. If you're eager to contribute and grow, now is your chance to TAKE CONTROL and join our team! This role supports active, ongoing projects that require local travel. About the Role The SCADA Developer will be responsible for designing, developing, and maintaining SCADA systems to ensure optimal performance of industrial operations. Key Responsibilities Design, configure, and program SCADA systems to monitor and control industrial processes. Maintain and troubleshoot: SCADA network communications, databases, and industrial control systems. Develop and maintain HMI applications for real-time data visualization and control. Integrate SCADA systems with PLCs and other industrial devices. Troubleshoot and resolve SCADA system issues, including hardware and software problems. Conduct regular system maintenance, updates, and backups to ensure reliability and security. Consult with clients to conceptualize and deliver success. Interact with project managers, project team leads, other discipline leads, clients, contractors and other third parties. Qualifications & Skills Minimum of 7 years of experience as a SCADA Engineer with expertise in Ignition SCADA by Inductive Automation. Experience with the Perspective development environment preferred. Strong knowledge of SCADA software platforms such as Ignition, Wonderware, or similar. Inductive Automation Ignition Core Certification Preferred; Gold Certification a Plus. Proficient in PLC programming and integration with SCADA systems. Excellent problem-solving and troubleshooting skills. Ability to partner with clients, vendors, and other team members to deliver projects. Ability to manage and prioritize multiple projects and priorities. Strong interpersonal, verbal, and written communication skills. Foster a collaborative and engaging environment by upholding and embodying our Core Values: Be Dependable Cultivate Relationships Strive for Excellence Foster and promote a strong safety culture and follow company safety protocols. Why RED Group? Culture. Growth. Opportunity. At RED Group, we believe that a thriving workplace starts with a strong, employee-centric culture. Our focus on our people ensures they have the resources, support and opportunities needed to excel. Our commitment to success drives outstanding results in our client engagements, with our team always striving for excellence. If you join RED Group, you'll enjoy: A collaborative team environment that values your contribution. Competitive benefits, flexible schedules, and hybrid work options. The stability of a well-established company poised for exciting growth. A fun and rewarding career that challenges you while offering opportunities for you to grow and excel. If you're a self-starter looking for a fulfilling career filled with unique growth opportunities where you can challenge yourself, RED Group is the place for you. Work Authorization: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship of an employment visa at this time. Agency Submissions: RED Group does not accept unsolicited resumes from recruiting or staffing agencies. Agencies must have a current, signed agreement in place prior to submitting any candidate - resumes submitted without one will be considered the property of RED Group and no fees will be paid. Please do not forward resumes directly to employees or hiring managers.

Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. The Head of IT Strategy and Business Management is a key leadership role responsible for driving strategic planning, Technology Business Management (TBM), due diligence and integration activities for Mergers & Acquisitions (M&A) and divestitures and enterprise IT performance management. Reporting to the Vice President of Technology Strategy & Governance, this leader serves as a trusted advisor to senior technology executives and functional / business leaders, ensuring alignment between technology investments, business priorities, financial objectives, and strategic outcomes. The role leads a global team with primary operations across the United States and India and is accountable for establishing scalable operating rhythms, governance processes, executive reporting, strategic planning frameworks, and value realization disciplines that enable technology to operate as a business-focused, outcomes-driven organization. This position requires strong executive presence, business acumen, organizational leadership, and the ability to translate complex information into actionable insights for executive decision-making. Key Responsibilities Technology Strategy & Planning Lead the annual and multi-year IT strategic planning process, ensuring alignment with enterprise objectives and business priorities. Develop and maintain technology roadmaps, strategic initiatives, investment plans, and execution frameworks. Partner with technology and business executives to identify emerging opportunities, risks, and transformational priorities. Facilitate strategic planning workshops, leadership offsites, and executive decision-making forums. Establish governance frameworks that drive accountability, prioritization, and delivery against strategic objectives. Monitor progress against strategic initiatives and provide recommendations for course correction when necessary. Mergers, Acquisitions & Divestitures Lead technology planning and coordination activities supporting mergers, acquisitions, divestitures, joint ventures, and/or strategic partnerships. Develop IT integration and separation strategies, plans, governance structures, and executive reporting. Coordinate cross-functional technology workstreams including infrastructure, security, applications, data, operations, and end-user computing. Manage technology due diligence activities, synergy identification, transition service agreement (TSA) planning, and integration execution. Partner with Finance, Legal, HR, Innovation, Engineering, Underwriting, and business leaders throughout transaction lifecycles. Establish integration success metrics and track achievement of transaction objectives. Technology Business Management (TBM) Provide greater cost transparency and enable analytics to support strategic decision making, financial planning, budget justification, chargeback/showback, performance analytics, benchmarking and value measurement capabilities. Partner with Finance and Technology leadership to establish and maintain processes to aggregate and allocate all IT cost and consumption data against a cost model that reflects IT products or services - "run IT like a business" IT Identify opportunities to optimize costs while maintaining operational resilience and business value. Support portfolio management and investment prioritization decisions using financial and business data. Establish value realization and benefits tracking frameworks for strategic technology investments. Metrics, Reporting & Executive Performance Management Own enterprise IT performance measurement frameworks including OKRs, KPIs, scorecards, dashboards, and executive reporting. Lead quarterly business reviews (QBRs), executive leadership updates, board-support reporting, and strategic metrics reviews. Develop executive-level reporting that provides clear visibility into technology performance, strategic progress, financial outcomes, delivery health, and operational effectiveness. Ensure consistency, accuracy, and integrity of technology performance data across the organization. Drive a culture of accountability through measurable objectives and transparent performance management. Identify trends, risks, dependencies, and opportunities through data-driven analysis and executive insights. Global Team Leadership Lead and develop a high-performing global organization with team members located globally, with a large presence in the U.S. and India. Create an operating model that maximizes collaboration, productivity, and consistency across geographies and time zones. Foster a culture of accountability, inclusion, continuous improvement, and talent development. Build leadership capabilities, succession plans, and career development pathways for team members. Align resources and organizational capabilities to evolving business and technology priorities. Drive operational excellence and standardization across global teams. Leadership Expectations Serve as a trusted and strategic advisor to Technology Executive Leadership. Influence decisions across organizational boundaries through strong relationships and business partnership. Balance long-term strategic thinking with operational execution and measurable outcomes. Drive organizational change, transformation initiatives, and adoption of new operating models. Communicate effectively with executives, board-level stakeholders, business leaders, and technology teams. Lead through ambiguity and navigate complex organizational challenges with sound judgment. Qualifications: Required Experience 12+ years of progressive leadership experience in technology strategy, business operations, technology finance, portfolio management, or related disciplines. 5+ years leading managers and global teams across multiple geographies. Demonstrated experience leading enterprise strategic planning and operational governance processes. Experience supporting or leading technology activities associated with mergers, acquisitions, divestitures, or enterprise transformations. Experience building and managing executive-level performance reporting, KPIs, OKRs, and governance processes. Strong financial acumen including cost-benefit analysis, business cases, and investment management. Experience working directly with senior executives and presenting to executive leadership teams. Preferred Experience Experience within the insurance, financial services, or highly regulated industries. Technology Business Management (TBM) experience and familiarity with Apptio or similar platforms. Experience leading global delivery teams that include significant offshore operations. Success Measures Within this role, success will be measured by: Achievement of enterprise technology strategic objectives and planned outcomes. Effective execution of technology integration and separation activities associated with M&A transactions. Improved transparency and optimization of technology investments and operating expenses. Increased executive confidence through timely, accurate, and actionable reporting. Consistent achievement of OKRs and operational performance targets. Strong employee engagement, retention, and development across the global team. Increased organizational maturity in governance, planning, performance management, and business operations. Ideal Candidate Profile A highly strategic, business-oriented technology leader who combines executive communication skills, financial discipline, operational excellence, and global leadership capabilities. This individual can translate strategy into execution, drive measurable outcomes, lead complex transformations, execute as a servant leader, builds trust and effectively partners with senior executives to maximize the value technology delivers to the organization. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Edward Jones is seeking an Engineer III to design, build, and optimize secure, scalable technology solutions that support our core finance and insurance platforms. In this role, you will lead complex application and integration projects, collaborate with product, security, and operations teams, and drive best practices in software engineering and cloud architecture. You will mentor junior engineers, improve reliability and performance of critical systems, and help modernize legacy applications, enabling our financial advisors to deliver client-first, long-term investment and retirement planning services. Responsibilities Design, develop, and maintain scalable applications supporting financial and insurance services Lead complex engineering projects from requirements through deployment and support Collaborate with product, security, and operations to define technical solutions and standards Implement secure coding, testing, and deployment best practices Optimize system performance, reliability, and observability for critical platforms Modernize and refactor legacy applications and services to modern architectures Develop and integrate APIs and data services for internal and external systems Mentor and provide technical guidance to junior and mid-level engineers Participate in code reviews and enforce engineering quality standards Contribute to technical roadmaps and continuous improvement initiatives Required Skills Object-oriented programming (e.g., Java, C#, or similar) Cloud platforms (AWS, Azure, or GCP) RESTful API design and integration Relational and/or No SQL databases CI/CD pipelines and Dev Ops practices Containerization (Docker, Kubernetes) Automated testing and test frameworks Monitoring, logging, and observability tools Secure software development practices System architecture and design patterns

Job Description Job Description The Data Analytics and Reporting Manager is responsible for leading the day-to-day execution of OANA's Data & Analytics organization, ensuring the successful delivery of reporting, analytics, data engineering, data integration, and operational data services across the enterprise. This role serves as the operational leader of the Data Team and is accountable for managing the team's daily workload, project execution, production support, incident management, stakeholder engagement, and personnel development. The Data Analytics and Reporting Manager executes the strategic vision established by the Director of Data & Software Development and ensures alignment with enterprise architecture, governance standards, and business priorities. As OANA continues its modernization journey through the Cortex Data Mesh platform, this role will help drive the implementation and operation of enterprise data products, APIs, reporting solutions, and analytical capabilities that support Underwriting, Claims, Accounting, Sales, Risk Management, and future business domains. KEY RESPONSIBILITIES Team Leadership & People Management Lead and manage daily operations of the Data & Analytics team Conduct regular one-on-one meetings and performance reviews Manage employee performance, coaching, mentoring, and career development Establish workload priorities and resource allocation Support recruiting, interviewing, onboarding, and training activities Develop succession plans and growth opportunities within the team Foster a culture of accountability, continuous improvement, and customer service Data Delivery & Operational Management Own successful execution of enterprise reporting, dashboards, data products, and engineering initiatives Ensure timely delivery of Accounting month-end, Claims, Underwriting, Executive, and Regulatory reporting Manage data integration efforts, operational support, production incidents, and data quality investigations Monitor team performance against service level agreements and delivery commitments Project & Portfolio Execution Oversee data platform initiatives, BI projects, reporting enhancements, data migration, and API development Lead sprint planning, backlog grooming, resource planning, and task prioritization Manage dependencies, identify risks, and maintain stakeholder communication Provide regular status updates to the Director of Data & Software Development Incident & Production Support Management Serve as operational owner for data incidents, reporting failures, integration/ETL issues, and data quality concerns Lead incident triage, root cause analysis, escalation management, and resolution tracking Develop preventative action plans and maintain proper monitoring and support processes Data Product & Data Mesh Operations Support implementation and operation of OANA's Cortex Data Mesh architecture Manage data product lifecycle, quality monitoring, domain ownership, and data catalog maintenance Ensure data products remain aligned with enterprise standards and business requirements API & Integration Delivery Lead operational delivery of APIs and integrations, including but not limited to Guidewire InsuranceSuite. Manage API backlog, integration prioritization, data contracts, and performance monitoring Support the evolution of Cortex as the enterprise source of truth and integration hub Stakeholder Management Act as primary operational contact for Accounting, Claims, Underwriting, Sales, Risk Management, and IT Operations Lead requirement clarification, prioritization discussions, status communications, and issue resolution Escalate strategic decisions and conflicts to the Director. TECHNICAL RESPONSIBILITIES The Data Analytics and Reporting Manager should possess sufficient technical expertise to guide the team, review designs, and participate in solution architecture discussions across the following areas: Data Architecture Data Mesh, Data Warehouse, Data Lakehouse, Operational Data Stores Master Data Management and Data Product architecture Software Development Practices Agile/Scrum, SDLC, CI/CD, Source Control, API Lifecycle Management, Testing Methodologies Data Engineering ETL/ELT methodologies, data modeling, transformation and quality frameworks, data lineage Analytics & Reporting Executive dashboards, operational reporting, self-service analytics, KPI development, performance scorecard Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field 10+ years in Data Analytics, Business Intelligence, Data Engineering, or Data Management 10+ years of Property & Casualty insurance industry experience 3+ years of leadership experience managing technical teams Experience managing both analysts and engineers Experience delivering enterprise reporting and analytics solutions Strong understanding of data architecture principles Experience leading Agile teams and project delivery Strong communication and stakeholder management skills

Own the day-to-day health, security, and usability of the ICAM environment while applying SRE practices to keep delivery platforms reliable, observable, and automated. Administer platform solutions, automate service delivery, and partner with engineering teams to improve developer experience and meet security and compliance standards. This is a fully remote role open to U.S.-based candidates. U.S. citizenship is required. Responsibilities Administer RHEL, Broadcom/CA DX Directory and LDAP, Layer7/CA API Gateway, and Data Stax Enterprise Cassandra environments. Automate platform administration and operational workflows using scripting and orchestration. Monitor availability and performance against SLOs and tune alerts. Respond to platform and pipeline incidents, troubleshoot issues, and contribute to blameless postmortems. Maintain platform documentation, runbooks, and onboarding guides. Partner with engineering teams to improve developer experience and uphold security and compliance standards. Required Skills RHEL administration Broadcom/CA DX Directory and LDAP administration Layer7/CA API Gateway administration Data Stax Enterprise Cassandra operations SRE fundamentals, SLOs, and SLIs Monitoring and observability with Datadog or Splunk Git Hub and Infrastructure as Code Git Hub Actions workflow design and runner administration CI/CD pipeline implementation and release automation Scripting and orchestration

Edward Jones is seeking an Engineer III to design, build, and optimize secure, scalable technology solutions that support our finance and insurance platforms. In this role, you will lead complex application and integration projects, translate business and compliance requirements into technical designs, and mentor junior engineers. You will collaborate closely with product, security, and operations teams to deliver resilient, high availability systems that power client-facing tools, analytics, and back office services, while championing best practices in coding, testing, DevOps, and cloud engineering. Responsibilities Design and develop secure, scalable applications and services for finance and insurance platforms Translate business and regulatory requirements into robust technical solutions Lead complex engineering projects and provide technical direction to teams Implement and maintain CI/CD pipelines and Dev Ops practices Ensure system reliability, performance, and high availability Collaborate with product, security, and operations teams on solution design Conduct code reviews and enforce engineering best practices and standards Mentor and coach junior and mid level engineers Implement automated testing and quality assurance practices Contribute to cloud architecture and modernization initiatives Required Skills Software development (Java, C#, or similar OO language) Cloud platforms (AWS, Azure, or GCP) RESTful APIs and microservices architecture SQL and relational databases CI/CD tools (e.g., Jenkins, Git Hub Actions, Azure Dev Ops) Infrastructure as Code (e.g., Terraform, Cloud Formation) Automated testing frameworks (unit, integration, performance) Containerization and orchestration (Docker, Kubernetes) Secure coding and application security practices Monitoring and observability tools (e.g., Splunk, New Relic, Datadog)

Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED The AI / RAG Software Engineer is responsible for designing, developing, deploying, and supporting Retrieval-Augmented Generation (RAG) solutions within a high-performance computing (HPC) Linux environment. In this role, the engineer works with Large Language Models (LLMs), LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized architectures. The position requires strong expertise in Python, Kubernetes, Helm, CI/CD automation, and secure SI system development to deliver scalable, production-ready solutions in mission-critical environments. The annual base salary range for this role is $199,000-$235,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Linux Systems Proficiency: Proven experience in Linux environments, including advanced CLI use for software development, troubleshooting, and system administration. Python Engineering: Recent hands-on software development experience using Python, supported by strong knowledge of software engineering design patterns and frameworks. Generative SI RAG Knowledge: Working knowledge of Generative SI technologies, including Large Language Models (LLMs), RAG architectures, embedding models, and vector databases. Containerization Technologies: Experience with Docker, Podman, or containerd for application packaging, deployment, and lifecycle management in production environments. Kubernetes Helm: Hands-on experience creating, configuring, and managing Kubernetes resources (Deployments, Services, ConfigMaps, Secrets, Ingresses, Operators) and authoring Helm charts. CI/CD Automation: Experience building and maintaining CI/CD pipelines using GitLab CI/CD, Flux CD, GitLab Runners, or equivalent tools. Observability Monitoring: Experience deploying and leveraging metrics, logging, and monitoring platforms including Prometheus and Grafana. DevSecOps SDLC: Understanding of software development lifecycle (SDLC) best practices, automated testing, security scanning, code quality analysis, and DevSecOps principles. Version Control: Proficiency with Git-based workflows, including branching models, code reviews, and pull/merge requests. Education: Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 7 + years of specialized data analytics or financial intelligence experience OR Master's Degree in a related field, PLUS 5 + years of specialized analytical experience OR High School Diploma / GED, PLUS 9 + years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree. , Desired Skills Cloud Engineering: Familiarity with developing, deploying, troubleshooting, and sustaining mission applications within AWS Cloud environments. GPU Acceleration: Experience developing, running, and debugging GPU-enabled applications and hardware workloads. Machine Learning Frameworks: Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) and ML pipelines/platforms (e.g., KubeFlow, NeMo, PyTorch Lightning). Data Stores Search Engines: Experience working with SQL databases, Elasticsearch, and enterprise Vector databases. SI Inferencing Frameworks: Knowledge of high-performance SI inferencing and serving solutions such as vLLM, Nvidia NIM, or Triton Inference Server. Agile Tooling: Experience using the Atlassian suite (Jira, Confluence) for workflow management and documentation. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Job Description Job Description DigitalCM is seeking an iOS Developer (On-site Tampa, FL) Job Description DigitalCM is seeking a motivated, detail-oriented iOS Developer to join our team in Tampa, FL. The ideal candidate has solid experience with Swift and SwiftUI, a strong understanding of mobile application development, and the ability to develop and maintain high-quality native applications across Apple platforms. Job Summary Develop and maintain native applications for iOS, iPadOS, and macOS, using Swift, SwiftUI, and UIKit when appropriate Implement features within offline-first architectures, including local storage and data synchronization. Integrate REST APIs, secure authentication, and local data persistence solutions Integrate third-party APIs, SDKs, libraries, and frameworks to extend application functionality and support external services. Follow established testing, security, and code-quality standards. Participate in code reviews and incorporate feedback. Diagnose difficult engineering problems and help transition prototypes into production-quality products. Collaborate directly with company leadership, customers, and engineering teams on technology initiatives. Job Qualifications 3+ years of professional software engineering experience. Solid proficiency in Swift/SwiftUI and familiarity with common iOS architectural patterns. Experience releasing and maintaining applications through App Store Connect, TestFlight, or enterprise distribution Experience with Git-based development workflows and collaborative code reviews. Must be eligible to obtain a Security Clearance (U.S. Citizenship Required) Adhere to the corporation's Standard Practice Procedures manual and DoD 5220.22-M when handling classified material, ensuring proper generation, marking, storage, handling, and destruction of classified material. Preferred Skills VisionOS, RealityKit, ARKit, RoomPlan, Metal, LiDAR, GIS, and Photogrammetry. Experience with Azure or another cloud service provider. Strong networking, API, and database knowledge. Cybersecurity, Rust, python, C/C++, or related systems technologies.

Description: GXM is seeking a full-time Enterprise Architect to support enterprise architecture development, digital engineering initiatives, and strategic mission integration activities supporting advanced operational Command and Control (C2) environments. The ideal candidate will possess deep expertise in Enterprise Architecture, operational mission systems, Digital Engineering, and Model-Based Systems Engineering (MBSE) with the ability to architect scalable operational solutions across cloud infrastructure, mission applications, operational data environments, cyber security domains and distributed mission systems. This role serves as the strategic architecture authority responsible for defining the target state operational architecture, integrations standards, interoperability frameworks, and long-term scalability model supporting integrated multi-domain mission operations. This individual will support modernization initiatives involving integrated C2 architectures, cloud-native mission systems, operational data fusion environments, AI/ML-enabled analytics platforms, and Joint Force operational integration constructs across defense environments. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the strategic architecture authority for integrated multi-domain C2 mission environment. Develop and maintain enterprise and operational system architectures supporting integrated operational and mission environments. Define and maintain the overall C2 architecture baseline, including operational concepts, integration standards, interface strategies, interoperability frameworks, and long-term scalability models. Apply Model-Based Systems Engineering (MBSE) methodologies to support system architecture development, requirements traceability, integration planning, digital engineering and lifecycle engineering activities. Develop and maintain engineering artifacts, system models, interface definitions, and architecture products, operational workflows, and reference architectures supporting integrated mission operations. Utilize MBSE tools and enterprise architecture frameworks to support digital engineering and operational mission architecture activities. Develop integrated engineering execution plans and schedules using Cameo Systems Modeler or similar enterprise planning tools. Architect scalable cloud, hybrid-cloud, and distributed system environments supporting operational mission needs. Define enterprise integration standards supporting APIs, middleware, event-driven architectures, operational data exchange frameworks, and mission interoperability requirements. Contribute to technical solution development involving AI/ML-enabled operation analytics, DevSecOps pipelines, cybersecurity architectures, software engineering, and operational data fusion capabilities. Develop integrated engineering execution roadmaps, transition architectures, modernization strategies, and scalability frameworks supporting follow-on operational deployment. Collaborate with engineering teams, leadership, and government stakeholders to refine operational mission architectures. Requirements: U.S. Citizen and Active TS/SCI clearance required. Bachelor's degree in systems engineering, Computer Science, Engineering, Information Systems, or related technical field. 8+ years of experience supporting enterprise architecture, operational mission systems, systems engineering, or strategic modernization initiatives within defense or intelligence environments. Strong understanding of Enterprise Architecture, Digital Engineering, and Model-Based Systems Engineering (MBSE) principles. Experience defining architecture governance standards, integration frameworks, interface strategies, and target-state operational architecture. Experience developing enterprise/system architectures, engineering artifacts, integration strategies, and operational workflows. Experience using Cameo Systems Modeler or other Digital Engineering toolsets to develop operational architecture products, integrated engineering execution models, system interaction diagrams, mission workflows, interface definitions, and requirements traceability artifacts supporting complex mission and operational environments. Understanding of cloud architectures, DevSecOps, cybersecurity, AI/ML, system integration, and enterprise modernization approaches. Strong communication, collaboration, and technical writing skills. Proven ability to communicate complex technical architectures to Government leadership, operational stakeholders, and engineering teams. Desired Qualifications Experience supporting defense, space, or multi-domain operational environments. Experience supporting DoD, federal mission systems, enterprise modernization, or operational C2 environments. Experience with MBSE tools such as Cameo Systems Modeler or other Digital Engineering tools. Expert with DoDAF, UAF, SysML, BPMN, and related enterprise architecture, operational architecture, MBSE frameworks supporting DoD mission engineering and digital engineering initiatives. Experience with enterprise cloud platforms, cloud-native and hybrid-cloud environments, container orchestration technologies, and distributed mission infrastructure supporting secure operational workloads. Knowledge of RMF, DISA STIGs, and Zero Trust cybersecurity frameworks. Experience supporting proposals, capture, or strategic modernization efforts for federal or defense programs. $150,000-$235,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PIc68a4-6194