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Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED In this role, you will serve as the heartbeat of our technical stack-integrating, installing, configuring, upgrading, compiling, and sustaining complex COTS/GOTS software in a highly diverse, heterogeneous operating environment. You won't just keep systems running; you'll take true software product ownership for advanced HPC tools, execute benchmark test codes to characterize system performance, develop dynamic custom tool plugins, and guide the optimal HPC configuration tailored to real-world customer needs. If you love deep-dive troubleshooting, switching flexibly across architectural paradigms, and bringing your authentic self to solve tough defense tech problems, Team Nyla wants you on the front lines with us! The annual base salary range for this role is $212,000-$251,000 (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 COTS/GOTS Software Integration: Mastery in integrating, installing, configuring, upgrading, compiling, and supporting complex COTS and GOTS software components in heterogeneous OS environments. Linux Administration Scripting: Strong foundational Linux system administration skills and advanced shell scripting capability for automation and environment management. HPC Tool Product Ownership Configuration: Demonstrated ability to provide product ownership for High-Performance Computing (HPC) tools and determine optimal configurations aligned to mission demands. Plugin Development Customization: Proven experience developing custom software tool plugins in the target programming language of the hosted tools. Testing Performance Characterization: Capability to write and execute test codes to characterize software performance, optimize execution, and resolve issues. Tooling Documentation: Working knowledge of Configuration Management (CM) tools, web documentation platforms, and issue-tracking systems, along with full-stack software documentation skills. Education: Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 10+ years of professional software engineering experience OR Master's Degree in a related field, PLUS 8 + years of specialized software engineering experience OR High School Diploma / GED, PLUS 15+ years of hands-on technical software development and big data administration experience in lieu of a degree. , Desired Skills Deep experience adapting quickly in fast-paced environments and seamlessly transitioning across distinct architectural paradigms. Experience with HPC scheduler frameworks, distributed file systems, and specialized parallel processing architectures. Excellent collaborative communication, creative problem-solving skills, and a passion for continuous learning and technology leadership. , 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 Pay Range: $80,000 - $98,000 depending on relevant experience and qualifications Please note that this is not a hybrid/remote position. You will be working from our Phoenix, AZ location. MITER Brands is a residential window and door manufacturer that provides a leading portfolio of window and door brands for the new construction and replacement segments. MITER Brands, also known as Milgard, MI Windows & Doors and PGTI is one of the nation's largest suppliers of vinyl windows and patio doors, with plants across the country. This position will mainly be supporting the Milgard brand. The Configuration Specialist II is responsible for creating and maintaining functional, responsive, accurate ERP product configuration software applications. Key areas of responsibility include creating new Bill Of Material structures and machine interfaces, creating solutions to changing business requirements, training/advising team members on best practices, troubleshooting Sales Order Entry, BOM, and interface issues in multiple systems, providing technical support to Engineering, IT, and Location personnel, and supporting the Configuration Manager as needed to maintain software functionality, quality, and conformance to business requirements. Responsibilities Work safely by following company policy and using appropriate PPE requirements where necessary. Monitors task assignments to support release readiness per Configuration Manager's schedule. Design, develop, and maintain ERP configuration solutions that support business, manufacturing, and quoting processes. Create and maintain product configuration rules, Bills of Materials (BOMs), pricing structures, and manufacturing routings. Analyze business requirements and translate them into scalable system configurations and software solutions. Design and maintain data structures to ensure accurate, reliable, and efficient processing of business information. Troubleshoot and resolve configuration, BOM, order entry, interface, and system performance issues. Collaborate with business stakeholders, engineering, manufacturing, product management, and IT teams to define and implement solutions. Perform unit, integration, and regression testing to validate system changes and ensure release readiness. Document configuration logic, technical designs, development activities, and support procedures. Provide technical support and guidance to end users and business teams. Support system upgrades, enhancements, and continuous improvement initiatives. Follow established development, testing, and change management standards to maintain system quality and compliance. Qualifications Bachelor's degree in applicable major, or equivalent combination of education and directly applicable experience. Education, training or equivalent experience with programming language(s) and software development process. Knowledge of manufacturing ERP systems & practices, and knowledge of structured BOM's preferred. Fluent in Microsoft Office products (Excel, Word, PowerPoint, etc.). A strong knowledge of window and door products is preferred Strong experience in database architecture, including data modeling, relational database design, normalization, performance optimization, data integrity. Strong experience with Oracle ERP and Infor CPQ (Configure, Price, Quote). Strong experience with Production Scheduling, and/or Manufacturing processes is a major plus. Strong time management, organizational skills, and ability to set priorities for multiple tasks. Customer focus both internally and externally. Strong communication skills in both written and verbal. Ability to work flexible hours and/or travel depending on the needs of the department. Self-starter and ability to work independently. What We Offer At MITER Brands, we invest in your health, wealth, and wellness. Our comprehensive benefits package supports you and your eligible spouse/dependents while helping you achieve your personal and professional goals. We offer competitive pay, a 401(k) with company match, and generous paid time off to help you maintain a healthy work-life balance. Health & Wellness Three comprehensive medical plan options Prescription drug coverage Dental insurance Vision insurance Teladoc virtual healthcare services Employee Assistance Program (EAP) Annual Wellness Clinic Financial Protection Company-paid Life Insurance Voluntary Life Insurance Company-paid Short-Term Disability Company-paid Long-Term Disability Supplemental Hospital Indemnity Insurance Critical Illness Insurance Accident Insurance Additional Benefits Paid Time Off (PTO) and paid holidays 401(k) retirement plan with company match Tuition Reimbursement Program Legal Insurance Identity Theft Protection Pet Insurance Team Member Discount Program MITER Brands, including MI Windows and Doors, Milgard, and PGT Innovations, is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, or any other protected status under applicable law. Work Authorization and Sponsorship Disclosure: The Company does not offer employer sponsorship at this time. Therefore, candidates must provide truthful and complete information regarding their eligibility to work in the U.S. and any current or future need for employment sponsorship. Misrepresentation regarding work authorization or sponsorship need at any stage of the hiring process will result in disqualification from consideration, rescission of an employment offer, or termination of employment.

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions PRINCIPAL SPACECRAFT OPERATIONS ENGINEER I- SECRET CLEARANCE Based on site at Rocket Lab's headquarters in Long Beach, CA the PrincipalSpacecraft Operations Engineer is responsible for ensuring the health, safety, and optimal performance of a growing fleet of satellites while meeting mission objectives and SLAs for both commercial and government customers. This includes supporting diverse missions such as LEO constellations, interplanetary exploration, LEO rendezvous, and SDA-related deployments. Your expertise would be critical during commissioning, orbit raising, routine operations, and potentially re-entry phases, ensuring the health and safety of Rocket Lab's expanding fleet. The Spacecraft Operations team works closely with related teams, such as spacecraft design, AIT, flight software, propulsion, GNC, flight dynamics and ground software development to help improve both the ground and satellite-based capabilities over time. The space operations experience at Rocket Lab is unique because you will cover a multitude of roles/positions and responsibilities, with the large majority of the technical products being supplied through the vertical integration/in-house. WHAT YOU'LL GET TO DO: Serve as the program's mission operations technical lead: set the technical direction and strategy for operations, plan and prioritize the work of the mission operations staff, and act as the primary operations point of contact for program-level design decisions and trades Advocate for operability across the program: influence spacecraft and ground architecture upstream so vehicles are designed to be operated safely, efficiently, and autonomously, and push for changes to program design and execution when operational needs demand it Own mission operations requirements and lead requirements validation and verification for spacecraft missions and system-level capability and function Define the automation strategy and lead the development of robust, software-driven methods for mission operations, testing, and data analysis to ensure efficient, repeatable, and reliable spacecraft operation Design, develop, and test flight software sequences and FDIR/telemetry configurations to ensure spacecraft health and fault management through software-driven processes Architect, develop, and test ground software for long-duration operations, including scripting and automation frameworks that make operations robust, hands-off, and scalable across a growing fleet Establish and steward the integration, testing, and maintenance of mission operations tooling and codebases, including CI, version control, and release discipline. Ensure the on-call or shift schedules of operations Author and own interface specifications, CONOPS, contingency procedures, and other operational design documents Lead validation of flight products and procedures against spacecraft simulation tools, including flatsat, HITL, SIL, and digital twins Support AIT teams across multiple spacecraft integrated tests (TVAC, propulsion stack, DITL Provide program and product support to team leads and program managers, and serve as a key technical interface between the NZ and USA engineering teams Represent mission operations in program milestone reviews, design reviews, and readiness gates, and drive continuous improvement through post-mission lessons learned YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPALSPACECRAFT OPERATIONS ENGINEER: Bachelor's degree in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) 12+ years of direct experience in any of the following: space mission design, satellite subsystems, ground systems, spacecraft command control, or spacecraft operations 5+ years of experience leading teams of engineers through spacecraft missions or related aerospace projects Previous experience in roles such as Mission Lead, Mission Director, Flight Director, or Senior Spacecraft Operations Engineer Previous experience supporting mission operations activities in an on-console or operator-in-the-loop capacity Thorough understanding of key spacecraft subsystems and associated components, including attitude determination and control systems (ADCS), electrical power systems (EPS), space-to-ground communications, command and data handling (C&DH), thermal control systems (TCS), spacecraft propulsion systems, and fault detection, isolation, and recovery (FDIR) Understanding of the space environment, orbital mechanics, and rigid body dynamics 5+ years of direct software development experience (Python/Ruby/C/C++/other high-level languages), covering items such as spacecraft onboard flight scripts, ground scripting and automation, and data manipulation and analysis US citizenship is required due to program requirements THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Master's or PhD engineering in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) Prior experience in spacecraft operations Prior experience in satellite system design Prior experience in satellite ground systems Exposure to modern development practices - GIT, CI/CD, cloud infrastructure Proficiency with Agile issue-tracking tools, specifically Jira, for mission task management, status tracking, and bug reporting Software-in-the-Loop (SIL) Testing: Exposure to testing frameworks that simulate software behavior in operational environments. Hardware-in-the-Loop (HIL) Testing: Familiarity with testing frameworks that integrate software and hardware systems. Active Secret or TS/SCI U.S. Government Security Clearance This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $280,725-$339,400 USD Base Salary $173,300-$259,850 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: . click apply for full job details

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Application Support Engineer serves as a Tier 2 (L2) technical support resource within the Association's Production Management organization. This role is responsible for monitoring, troubleshooting, incident resolution, service restoration, and operational support for critical business applications and services across the enterprise technology landscape. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Application Engineering teams, Infrastructure teams, and external vendors, this position provides elevated level of technical expertise for application incidents, operational issues, and service stability initiatives. The engineer investigates and resolves application performance issues, system alerts, batch processing failures, integration problems, middleware issues, and production incidents impacting business operations. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position is based in San Antonio, TX. Relocation assistance is not available for this position. What you'll do: Leverage experience of coding applications, application architecture, system integrations, and technology platforms to identify improvements, troubleshoot complex issues, and ensure system reliability and performance. Analyze systems and processes to identify opportunities for improvement and drive operational efficiency. Define technical specifications, standards, and requirements that support scalable and sustainable applications Follow established Software Development Lifecycle (SDLC) practices, including requirements gathering, development, testing, deployment, and maintenance. Ensure risks associated with business activities are appropriately identified, assessed, monitored, and managed in accordance with organizational risk and compliance standards. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. Advanced understanding of one or more of the following: Java, Swift, Objective-C, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python, Mainframe technologies including COBOL, JCL, CICS, DB2, IMS, MQ, and z/OS.+ Experience with enterprise monitoring and observability tools such as Splunk, Dynatrace, Datadog, New Relic, Grafana, AppDynamics, Azure Monitor, or similar platforms. Ability to correlate logs, traces, metrics, transaction flows, infrastructure telemetry, and application performance data to identify complex failure modes, determine root causes, assess business impact, and drive long-term reliability improvements. Advanced working knowledge of Kubernetes, OpenShift, Docker containers, and microservice-based architectures, including the ability to troubleshoot complex distributed-system failures, evaluate platform health, recommend recovery strategies, and influence operational best practices. Advanced understanding of API-driven architectures, integration patterns, authentication mechanisms, and service dependencies, including the ability to analyze end-to-end transaction flows, identify integration failures, and recommend architectural and operational improvements. Advanced experience with ServiceNow, Jira, Confluence, and similar operational platforms, including administration of operational workflows, development of knowledge-management standards, reporting and trend analysis, and driving improvements to support processes and operational effectiveness. Advanced knowledge of Incident, Problem, Change, Event, and Knowledge Management practices. What sets you apart: 4+ years of experience supporting enterprise applications, infrastructure, cloud platforms, or production environments, including troubleshooting across multiple technology domains. 2+ years of experience in an Enterprise Availability Command Center (ACC), Production Operations, Site Reliability Engineering (SRE), or comparable service restoration environment, with direct involvement in high-severity incident response and recovery activities. Advanced analytical and problem-solving skills, with the ability to correlate monitoring, logging, and operational data to diagnose issues and restore critical business services. Experience working with observability tools, driving automation, service resiliency, SRE principles, and operational process improvements. Experience working within Incident Management processes and operational support procedures, with the ability to coordinate technical teams and communicate effectively during service disruptions. Experience supporting highly regulated industries such as financial services, insurance, or healthcare; ITIL Foundation certification and Azure or AWS certifications preferred. US military experience gained through military service or gained as a military spouse / domestic partner Compensation range: The salary range for this position is: $93,770 - $179,240. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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).

Location: Onsite, American Fork, Utah The Automation Engineer designs, implements, and maintains industrial automation, control, and instrumentation systems. This role requires expertise in electrical design, control programming, instrumentation, and system troubleshooting. The ideal candidate is detail-oriented, analytical, and thrives in a fast-paced manufacturing environment. Essential Functions Include: Design and develop industrial automation systems, including PLC, HMI, and SCADA applications. Program, test, and commission PLC/HMI control systems for new and existing equipment Design, construct, modify, and maintain control panel layouts and electrical schematics. Develop and update P&IDs and instrumentation diagrams using CAD software. Develop Functional Design Specifications and Control Narratives Specify, integrate, and calibrate industrial sensors and measurement devices. Troubleshoot automation hardware and instrumentation issues Ensure compliance with industry standards, safety regulations, and company policies. Lead and manage automation initiatives during entire project lifecycle from concept through commissioning Collaborate with engineering, maintenance, and production teams to improve automation and control processes. Stay current with emerging automation technologies and best practices. Perform other duties as assigned Qualifications Include: Bachelor's degree in electrical engineering, automation engineering, or related field. Hands-on experience with PLC programming and HMI/SCADA development (Ignition preferred) Experience in commissioning activities, including I/O checks and sequence testing. Familiarity with motor controls, PID loops, VFDs, sensors, and industrial instrumentation. Ability to read, redline, and update electrical schematics, P&IDs, and technical documentation. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and teamwork abilities Ability to travel up to 40% to company and supplier sites across North America. Preferred Qualifications: 2+ years of relative experience Proficiency with electrical design tools (AutoCAD Electrical or EPLAN preferred). Experience designing and constructing control panels utilizing applicable design standards. Strong Knowledge of industrial communication protocols such as Modbus, Ethernet/IP, etc. Understanding database integration including SQL, MES, or data historians. Experience with controls for utilities systems, such as steam, refrigeration, etc. Food Safety Requirements: Place high priority on food safety, quality, and sanitation by understanding and executing Thrive Freeze Dry's food safety and sanitation policies and procedures. Hold self and others accountable to Thrive Freeze Dry's food safety & sanitation guidelines and policies by communicating any food safety incident, observation, or opportunity to your leadership team or teammates. Physical Requirements - Must be able to perform the following functions with or without accommodations: Consistent and reliable attendance The usual and customary methods of performing the job's functions require the following physical demands: some lifting, carrying, pushing, and/or pulling; some stooping, kneeling, crouching, and/or crawling; and frequent fine finger dexterity. Generally, the job requires the following percentages of time committed to physical activity: 50% or more sitting, 50% or more walking, and 50% or more standing. The job is performed under some temperature variations and in a food manufacturing production environment. Unrestricted visual and audio abilities are required for the safety of all employees. The ability to lift to 40 lbs. is required. PI573460cbadb3-4784

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

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)

Company: Alaska Airlines The Team: Guided by our purpose, core values, and leadership principles, we are creating an airline people love. Our corporate teams set the strategies and operational plans to ensure the success of our company. Whether we use our expertise in accounting, human resources, finance, planning, legal, marketing, or any of our operational divisions, our shared passion for travel and our guests is what motivates us to achieve excellence each day. If you share our passion for creating an airline people love, we want to hear from you. Role Summary: The Technology Compliance Program Manager Vulnerability Management is the sole subject matter expert in the technology compliance and vulnerability management domain. As an individual contributor, this role defines long-term strategy for the identification, assessment, prioritization, and remediation of security vulnerabilities across our technology environment and exercises considerable latitude and initiative to solve broad, complex problems. Key Duties: As the lead subject matter expert in technology compliance, ensure the vulnerability management program aligns with regulatory requirements (e.g., PCI-DSS, HIPAA, NIST, ISO 27001) and integrates with other security tools such as SIEM, CMDB, and ticketing systems. Define long-term strategy for developing, implementing, and continuously improving the enterprise vulnerability management strategy and roadmap. Influence across company and several levels up to execute on IT assessments focusing on compliance with information security policy, procedures and standards. Manage and optimize vulnerability management tools (e.g., Tenable, Qualys, Rapid7, etc.) to continuously improve the internal audit and risk management review. Consult Alaska Air Group divisions, IT departments and project resources regarding the development, management approval, and implementation of objectives, goals, policies, standards, guidelines, and other requirement statements needed to support information security compliance throughout the company. Serve as the primary point of contact between penetration testers and internal stakeholders, ensuring clear scope definition, rules of engagement, and minimal business disruption. Define and track key performance indicators (KPIs) and metrics to measure program effectiveness. Analyze and track findings, validate results, and work with relevant teams to prioritize and remediate identified vulnerabilities. Manage execution of timely delivery of reports to leadership and stakeholders, maintain documentation, and integrate findings into the broader vulnerability management lifecycle. Oversee regular vulnerability scanning and assessments across infrastructure, applications, and cloud environments. Facilitate, schedule, and coordinate internal and third-party penetration tests across applications, networks, and cloud environments. Maintain documentation and evidence for audits and compliance reviews. Job-Specific Experience, Education & Skills: Required 7 years of experience in IT Security and Compliance, or related area. Bachelor's degree in Information Security, Information Technology, Computer Science or related field, or an additional two years of relevant training/experience in lieu of this degree. Experience in project management, including all elements of scope, schedule, budgeting, risk evaluation, quality, integration, staffing, and communications. Knowledge of security regulations (e.g., Sarbanes-Oxley, Payment Card Industry Data Security Specification PCI DSS , Health Insurance Portability and Accountability Act HIPAA ) and standards (e.g. ISO 27001, NIST SP800-series). Excellent verbal and written communication skills. High school diploma or equivalent. Minimum age of 18. Must be authorized to work in the U.S. Preferred Industry certification in security (e.g. CISA, CISSP, and/or GIAC). Industry certification in project management (e.g. PMP). 2 years of experience leading people. Demonstrated knowledge and experience in information security, software development and/or network security for large organizations. Detailed technical knowledge in security engineering, system and network security, authentication and security protocols. Job-Specific Leadership Expectations: Embody our values to own safety, do the right thing, be caring and kind, and deliver performance. Create a culture where all employees feel safe and supported. Salary Range: $141,250 - $211,900 / year Salary Details: Pay will be based on multiple factors, including and not limited to location, relevant experience/level and skillset while balancing internal equity relative to other Alaska/Hawaiian/Horizon employees. Alaska/Hawaiian/Horizon is committed to fair, unbiased compensation along with competitive benefits in all locations in which we operate. Note: We don't typically hire at the top of the range. Total Rewards: Alaska Airlines, Hawaiian Airlines and Horizon Air pay and benefits can vary by company, location, number of regularly scheduled hours worked, length of employment, and employment status. Free stand-by travel privileges on Alaska Airlines, Hawaiian Airlines & Horizon Air Comprehensive well-being programs including medical, dental and vision benefits Generous 401k match program Annual bonus plans Generous holiday and paid time off For more information about Alaska/Hawaiian/Horizon Total Rewards please visit our career site and view benefits. Regulatory Information: Equal Employment Opportunity Policy Statement It is the policy of Alaska Airlines, Hawaiian Airlines and Horizon Air to comply with all applicable federal, state and local laws governing nondiscrimination in employment and to ensure equal opportunity in all terms, conditions, and benefits of employment or potential employment. We also prohibit discrimination and harassment against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. We have established an EEO Compliance Program under Section 503 of the Rehabilitation Act of 1973 ("Section 503") and the Vietnam Era Veteran's Readjustment Assistance Act of 1974 ("VEVRAA"). All applicants and employees are treated without regard to their race, color, religion, sex, national origin, disability or protected veteran status. In addition, we have established an audit and reporting system to allow for effective measurement of its equal employment opportunity activities. To implement this policy, we will: (1) Recruit, hire, train and promote qualified persons in all job titles, without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and any other legally protected categories; (2) Ensure that employment decisions are based only on valid job requirements; and (3) Ensure that all personnel actions and employment activities such as compensation, benefits, promotions, layoffs, return from layoff, Alaska Airlines, Hawaiian Airlines and Horizon Air sponsored programs, and tuition assistance will be administered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. Employees and applicants for employment will not be subjected to harassment, intimidation, threats, coercion or discrimination because they have engaged or may engage in (1) filing a complaint, (2) opposing any act or practice made unlawful by, or exercising any other right protected by, any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA, or (3) assisting or participating in any investigation, compliance evaluation, hearing, or any other activity related to the administration of any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA. Government Contractor & Department of Transportation (DOT) Regulations Alaska Airlines, Hawaiian Airlines & Horizon Air are regulated by the Department of Transportation (DOT - regulations, 49 CFR part 40) and all applicants are advised that post-offer and/or pre-employment drug testing will be conducted to determine the presence of marijuana, cocaine, opioids, phencyclidine (PCP) and amphetamines or a metabolite of these drugs prior to any offer or employment or transfer into a safety-sensitive position. Failure to submit to testing or positive indications of drug use will render the applicant ineligible for employment with Alaska Airlines/Hawaiian Airlines/Horizon Air and any employment offer will be withdrawn. FLSA Status: Exempt Employment Type: Full-Time Regular/Temporary: Regular Requisition Type: Management Location: Seattle - Hub Featured Job: 0 A Y - T2 L

Software Developer DEPARTMENT: Operations - Software REPORTS TO: Software Engineering Manager DIRECT REPORTS: None STATUS: Non-Exempt, Full-Time LOCATION: Holland Patent, NY, Hybrid Position PAY RANGE: $32.36 - $53.37 per hour ROLE OVERVIEW The Software Developer is responsible for using their knowledge of programming languages to design and create new software. Some of the duties include meeting with users to determine their software needs (requirements gathering), coding and testing software to ensure performance and functionality and managing APIs between system. ROLE CAPABILITIES Software Development & Maintenance Designs and builds software solutions based on defined requirementsMaintains and improves existing software across multiple functionality areasProduces efficient code that supports expected functionality and performanceManages APIs and integrations between systemsCorrects defects and implements fixes that restore expected behavior Software Collaboration Collaborates with management, departments, and customers to identify requirements and specificationsTranslates user needs into development tasks and technical specificationsWorks within a team environment to align development work to shared requirementsAssesses user feedback and observed issue patterns to recommend improvements Testing, Deployment & Issue Resolution Tests software to confirm performance and functionalityDeploys programs, applications, and release updatesTroubleshoots and debugs software issues across systems and integrationsIdentifies root causes and validates fixes before release Code Quality & Documentation Participates in code reviews to support code quality and consistencyRefactors code to improve maintainabilityDevelops technical documentation that supports future development workMaintains documentation aligned to system changes and improvements MINIMUM JOB QUALIFICATIONS: Associate's Degree in Computer Science and/or relevant working experienceA strong understanding of HTML and CSS, Database Design Principles, and Transact SQLA willingness to learn and use the PowerBuilder development language to maintain current in-house systemsDemonstrated ability to:Build and maintain trust-based relationshipsCommunicate effectively using a variety of technologies and methodsAdapt to changing priorities, processes, technologies, and business needs.Manage projects and priorities from planning through execution to achieve desired outcomes.Understand stakeholder needs, analyze information and data, and develop effective solutions that drive results.Valid driver's license or ability to access transportationAbility to reach, sit, stand, walk, push, pull, lift, use fingers, grasp, feel, talk, hear, and perform repetitive motions, exert up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. PREFERRED JOB QUALIFICATIONS: Bachelor's Degree in Computer ScienceExperience using Visual Studio to build solutions, ASP.NET MVC and .NET Core using C#, JavaScript (ES6)Experience or understanding of Source Control systems, especially GitHubKnowledge of Object-Relational Mapping frameworks, especially Entity Framework SCORECARD METRICS: Reduce Lead-to-Billed Days to below 236.Improve Mean Time to Resolution (MTTR) to under 48 hours.Improve MACD completion to under 48 hours.Deliver automation and AI initiatives that reduce manual effort and improve operational performance. Compensation details: 32.36-53.37 Hourly Wage PIbd5fe6-