68 jobs found

Description: ABOUT WHO BREW Who Brew is a 7 Brew franchisee. We run 44 drive-thru coffee stands across six states, with 20 more under construction and a pipeline of sites behind those. Every stand has a life: a site gets found and permitted, built and opened, then run for years. The technology team owns the systems that carry a stand through that life, and the money that flows through all of it. THE JOB You'll own the finance systems and the work that runs through them. Sage Intacct is the general ledger and AP. Paylocity runs payroll for 20+ legal entities. Xenial/Genius is the register at every stand. CrunchTime holds inventory and food cost. On top of those we build our own tools: an AP inbox that reads invoices as they arrive, a monthly management pack that assembles itself from the warehouse, cash-flow tracking for stands under construction, and the payroll tools the accounting team uses every pay period. Your job is to make that stack work for the people who use it. Sit with the accounting and payroll team. Learn how the month actually closes. Find where the hours go. Turn that into specs we can build, test what gets built against real numbers, roll it out, and write it down. Requirements: WHAT YOU'LL DO Own the request queue for finance systems. Every ask gets written up, sized, prioritized with the controller, and closed with a note on what shipped. Write specs a builder can work from: the process today, the change, the data it touches, and how we'll know it worked. Test releases against real data before they ship. If an AP total, a payroll cash number, or a P&L line doesn't tie to the source system, you catch it. Run the monthly management pack cycle with the accounting team: readiness checks, generation, review, and the fixes that make next month cleaner. Support the AP inbox day to day: duplicate invoices, missing attachments, vendors that extract badly, approval routing. Own our side of the vendor relationships: Sage support through our reseller, Paylocity, Ramp, CrunchTime. Know who to call and what to ask. Keep the docs current. Every workflow gets a runbook someone new could follow. Train the team when something changes. Short sessions, real screen. THE SYSTEMS Sage Intacct: general ledger, AP, and the construction module. Supported by our reseller, RKL. and Ramp for payables and cards. Sage AP automation as it rolls out. Paylocity: payroll and HR. Xenial/Genius (point of sale: sales, cash, tips) and CrunchTime (inventory, purchasing, food cost). Smartsheet: construction budgets. Our finance app: AP inbox, management pack, construction cash flow, payroll cash requirement, timesheet close. The data warehouse and the dashboards built on it. Everything above reports through here. YOUR FIRST YEAR 30 days - Learn the close calendar, follow a full AP cycle from inbox to payment, take over the finance request queue. 90 days - You've run a management pack cycle end to end with the accounting team, shipped your first improvements to the AP inbox, and written the close runbook. One year - A construction invoice goes from Procore to Sage without anyone rekeying it. Cash over/short is reported by stand every day and ops trusts it. The management pack generates with no manual slide edits. There is one path for an invoice, from inbox to approval to payment. WHAT WE'RE LOOKING FOR Bachelor's degree in accounting, finance, information systems, business, or a related field, or equivalent work history. 1 to 3 years in a role like this: business or systems analyst, AP or accounting, FP&A, product or project coordination, or an internship where you owned a workflow end to end. You've closed a month, run a payroll, or paid vendors. Or you've sat close enough to know why those are hard. Spreadsheets are second nature. You can read a SQL query, or you'll learn in your first 90 days. We'll teach you. You write clearly. A 30-minute conversation becomes a one-page spec with no loose ends. You check your numbers. When a total doesn't tie, you find out why before you tell anyone it's fine. You've used AI tools for real work and have opinions about where they're good and where they're not. NICE TO HAVE Hands-on time in Sage Intacct, Paylocity, or a restaurant point of sale. Multi-entity or franchise accounting. Restaurant, retail, or other multi-unit operations. A tracker like Linear or Jira where you kept the queue clean. HOW WE WORK Small team, close to the business. You'll spend more time with the accounting team than with engineers. We build with AI coding agents under human review. Dev, preview, production. Releases ship most weeks. You decide when something is ready. Work is tracked in Linear. Docs live in Notion. Nothing we ship gets relied on until it's checked against the source system. Benefits Available Medical, Dental, and Vision Insurance Life & AD&D Coverage Flexible PTO for eligible corporate team members Paid parental leave for eligible full-time, benefits-eligible team members with at least 12 months of continuous service Paid Bereavement Leave for qualifying family losses Benefit eligibility and leave programs are subject to the terms of the applicable Who Brew policies and benefit plans. Location - Remote : Full time. Some travel to stands and job sites. (Candidates in the Central or Eastern time zones are preferred and expected to work Eastern Time hours). Compensation details: 0 Yearly Salary PIf11b0b76d5e2-2518

National Radio Astronomy Observatory Title: Software Engineer II-III Location: 1011 Lopezville Rd, Socorro, NM 87801, USA• 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA• 155 Observatory Rd, Green Bank, WV 24944, USA Requisition Number: 279 Job Family: Software Engineer Pay Type: Salary Required Education: CPP Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. NRAO is seeking an experienced Software Engineer to join the Online Software Group. The online system is the real-time heart of our observing software. It is responsible for configuring, controlling, and monitoring the real-time systems of our telescopes, including the the Very Large Array (VLA) in New Mexico, the Very Long Baseline Array (VLBA) spread across the US and its territories, and the Green Bank Telescope (GBT) in West Virginia. This software is responsible for taking scientific-domain configuration parameters and decomposing them into the hardware settings and motion commands required by our antennas, and into the corresponding configurations for the associated digital signal processing instruments (e.g. VEGAS for the GBT, and correlators for the VLA and the VLBA). When an observation runs, this software is what makes it happen. This position will be based in Albuquerque, NM, Socorro, NM, Charlottesville, VA or Green Bank, WV. For well-qualified candidates, a remote work arrangement may be considered. What You Will be Doing Designing, implementing, testing, and maintaining components of the online software that configure and control the VLA, VLBA, and GBT in real time. Develop and extend the translation layer that decomposes scientific-domain observing parameters into the engineering parameters the hardware understands: IF-chain configurations, antenna motion commands, and digital signal processing configurations for instruments like VEGAS, WIDAR, and DiFX. Model the observing domain in software - frequency setups, subband and baseband layouts, polarization products, timing and integration structure - and implement the rules, constraints, and legality checks that determine which configurations are achievable on which instrument. Work from interface control documents and hardware specifications, in close collaboration with the engineers and scientists who own the underlying subsystems, to ensure the commands the online system emits are correct and complete. Diagnose and resolve issues that span the layers between a scientist's observing specification and the command stream sent to the telescope, often in collaboration with telescope operators, engineers, and scientific staff. Support the evolution of the online system to meet new observing paradigms and instrumentation, including work that informs and feeds into the next generation Very Large Array (ngVLA). Write and maintain critical documentation, including requirements, software design documents, interface control documents, and user documentation. Participate in code review, testing, and release processes for software that runs mission-critical, 24/7 scientific facilities. Work Environment The successful candidate will join a team of professionals engaged in research and development in the fields of science, engineering, software development, and education. Work is typically performed in a research or development environment. Must be able to operate a personal computer. Occasional travel (domestic and international) may be required. Who You Are: Education A Bachelor's degree in computer science, engineering, scientific or related field; highly relevant experience may be considered in lieu of a Bachelor's degree. While not required, you may have an advanced degree in a related field. Experience One or more years of experience developing software applications. Candidates with progressively more experience will be considered for a higher-level position ranking. Relevant experience with radio astronomy operating software and procedures is preferred. Knowledge of radio astronomy theories and practice would be valuable. Demonstrated experience providing technical leadership of complex data acquisition, scheduling, and operational support systems is preferred. Skills and Competencies Proficiency with Java; familiarity with C/C++ and Python is valuable A solid understanding of object-oriented design and development Demonstrated ability to learn and apply new software languages and unfamiliar domains Understanding of networking concepts and technologies: multicast, TCP, UDP, HTTP, XML, JSON, REST Experience with version control software, testing methodologies, and CI/CD Strong interpersonal and communication skills, including the ability to work effectively with scientists and hardware engineers Comfort working in a Linux (RHEL) environment The following are highly preferred: Experience translating high-level domain concepts into machine- or hardware-level representations - compilers, planners, schedulers, configuration engines, or similar systems that turn intent into instructions Skill in domain modeling and in expressing complex validation rules and constraints clearly in code Experience with distributed systems, or with control and monitoring software for scientific, industrial, or other physical instruments A working comfort with mathematics and unit-bearing quantities - coordinate transformations, frequency and time calculations, and the care required to get them right Familiarity with signal processing concepts, digital IF chains, or correlator architectures Familiarity with basic astronomical principles, radio astronomy, or interferometry Experience collaborating in an Agile/Scrum environment, including sprint planning, estimating tasks, and breaking down requirements into user stories Note that this position does not involve direct hardware or firmware development; though an understanding of these systems and real-time control principles can be valuable. Your work will live at the layer above, producing correct hardware-level configurations and commands from scientific intent, against interfaces defined and maintained by others. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $87,000 and $121,000. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 00 Yearly Salary PIf669a7c2591a-1646

Job Description Job Description ABOUT WHO BREW Who Brew is a 7 Brew franchisee. We run 44 drive-thru coffee stands across six states, with 20 more under construction and a pipeline of sites behind those. Every stand has a life: a site gets found and permitted, built and opened, then run for years. The technology team owns the systems that carry a stand through that life, and the money that flows through all of it. THE JOB You'll own the finance systems and the work that runs through them. Sage Intacct is the general ledger and AP. Paylocity runs payroll for 20+ legal entities. Xenial/Genius is the register at every stand. CrunchTime holds inventory and food cost. On top of those we build our own tools: an AP inbox that reads invoices as they arrive, a monthly management pack that assembles itself from the warehouse, cash-flow tracking for stands under construction, and the payroll tools the accounting team uses every pay period. Your job is to make that stack work for the people who use it. Sit with the accounting and payroll team. Learn how the month actually closes. Find where the hours go. Turn that into specs we can build, test what gets built against real numbers, roll it out, and write it down. WHAT YOU'LL DO Own the request queue for finance systems. Every ask gets written up, sized, prioritized with the controller, and closed with a note on what shipped. Write specs a builder can work from: the process today, the change, the data it touches, and how we'll know it worked. Test releases against real data before they ship. If an AP total, a payroll cash number, or a P&L line doesn't tie to the source system, you catch it. Run the monthly management pack cycle with the accounting team: readiness checks, generation, review, and the fixes that make next month cleaner. Support the AP inbox day to day: duplicate invoices, missing attachments, vendors that extract badly, approval routing. Own our side of the vendor relationships: Sage support through our reseller, Paylocity, Ramp, CrunchTime. Know who to call and what to ask. Keep the docs current. Every workflow gets a runbook someone new could follow. Train the team when something changes. Short sessions, real screen. THE SYSTEMS Sage Intacct: general ledger, AP, and the construction module. Supported by our reseller, RKL. and Ramp for payables and cards. Sage AP automation as it rolls out. Paylocity: payroll and HR. Xenial/Genius (point of sale: sales, cash, tips) and CrunchTime (inventory, purchasing, food cost). Smartsheet: construction budgets. Our finance app: AP inbox, management pack, construction cash flow, payroll cash requirement, timesheet close. The data warehouse and the dashboards built on it. Everything above reports through here. YOUR FIRST YEAR 30 days - Learn the close calendar, follow a full AP cycle from inbox to payment, take over the finance request queue. 90 days - You've run a management pack cycle end to end with the accounting team, shipped your first improvements to the AP inbox, and written the close runbook. One year - A construction invoice goes from Procore to Sage without anyone rekeying it. Cash over/short is reported by stand every day and ops trusts it. The management pack generates with no manual slide edits. There is one path for an invoice, from inbox to approval to payment. WHAT WE'RE LOOKING FOR Bachelor's degree in accounting, finance, information systems, business, or a related field, or equivalent work history. 1 to 3 years in a role like this: business or systems analyst, AP or accounting, FP&A, product or project coordination, or an internship where you owned a workflow end to end. You've closed a month, run a payroll, or paid vendors. Or you've sat close enough to know why those are hard. Spreadsheets are second nature. You can read a SQL query, or you'll learn in your first 90 days. We'll teach you. You write clearly. A 30-minute conversation becomes a one-page spec with no loose ends. You check your numbers. When a total doesn't tie, you find out why before you tell anyone it's fine. You've used AI tools for real work and have opinions about where they're good and where they're not. NICE TO HAVE Hands-on time in Sage Intacct, Paylocity, or a restaurant point of sale. Multi-entity or franchise accounting. Restaurant, retail, or other multi-unit operations. A tracker like Linear or Jira where you kept the queue clean. HOW WE WORK Small team, close to the business. You'll spend more time with the accounting team than with engineers. We build with AI coding agents under human review. Dev, preview, production. Releases ship most weeks. You decide when something is ready. Work is tracked in Linear. Docs live in Notion. Nothing we ship gets relied on until it's checked against the source system. Benefits Available Medical, Dental, and Vision Insurance Life & AD&D Coverage Flexible PTO for eligible corporate team members Paid parental leave for eligible full-time, benefits-eligible team members with at least 12 months of continuous service Paid Bereavement Leave for qualifying family losses Benefit eligibility and leave programs are subject to the terms of the applicable Who Brew policies and benefit plans. Location - Remote : Full time. Some travel to stands and job sites. (Candidates in the Central or Eastern time zones are preferred and expected to work Eastern Time hours). Compensation details: 0 Yearly Salary PI36a7e6ce5-

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. 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 Description: GXM Technologies is seeking a Senior Agile Program Integration Lead to support advanced defense and space mission programs requiring disciplined Agile execution, complex systems integration, and enterprise-level delivery synchronization. This role provides senior leadership across multiple technical teams and workstreams, using hands-on Scaled Agile Framework (SAFe) practices to align planning, technical integration, MVP releases, operational milestones, and Initial Operational Capability (IOC) objectives. The ideal candidate combines hands-on SAFe execution with technical program integration, systems engineering awareness, release management, and operational mission delivery. This individual will work with Program Managers, Product and Solution Management, engineers, DevSecOps teams, architects, cybersecurity personnel, test organizations, and Government stakeholders to translate priorities into executable Program Increments and synchronized delivery plans. This role is onsite in Colorado Springs, CO due to operational integration and classified mission requirements. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the senior Agile program integration lead, providing hands-on SAFe execution leadership across multiple technical teams, Agile Release Trains (ARTs), and integrated workstreams. Apply SAFe practices to synchronize systems engineering, software, cloud, cybersecurity, data, DevSecOps, integration, test, and operational mission teams against shared program objectives. Lead and facilitate SAFe planning and synchronization activities, including: Program Increment (PI) Planning and PI execution; ART Sync, Scrum of Scrums, and cross-team coordination; System Demos and Inspect & Adapt events ; Dependency, impediment, and ROAM risk management; MVP, capability release, and integration coordination; Operational milestone and IOC readiness alignment Configure and manage Jira, Confluence, and enterprise Agile planning tools to maintain program backlogs, PI objectives, capabilities and features, dependencies, risks, roadmaps, release plans, and delivery visibility. Develop and maintain integrated roadmaps, delivery schedules, release plans, and milestone artifacts that align SAFe PI cadence and team commitments with the Integrated Master Schedule (IMS), technical baselines, operational events, and IOC objectives. Facilitate cross-team synchronization, decision-making, and issue resolution across technical teams, mission stakeholders, engineering organizations, Government leadership, and delivery partners. Provide hands-on leadership for Agile ceremonies and program-level events, ensuring decisions, dependencies, risks, actions, and commitments are documented and driven to closure. Monitor PI objectives, delivery predictability, flow metrics, risks, dependencies, constraints, and operational impacts; lead mitigation, escalation, and corrective action when delivery is at risk. Provide program leadership with actionable metrics, Jira dashboards, roadmap reporting, PI status, milestone health, dependency visibility, risk trends, and executive-level reporting. Collaborate with Program Managers, Enterprise Architects, Chief Engineers, Product and Solution Management, Technical Leads, cybersecurity teams, and mission stakeholders to align Agile execution with engineering and operational requirements. Drive continuous improvement of SAFe, Lean-Agile, DevSecOps, and delivery management practices appropriate to classified and mission-critical environments. Coordinate configuration management, knowledge management, and documentation alignment so program baselines, Agile artifacts, technical decisions, release content, and delivery evidence remain current and traceable. Lead transition planning, release coordination, capability deployment, and readiness synchronization aligned to mission events, MVP demonstrations, and IOC objectives. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in engineering, computer science, information systems, business, program management, or a related discipline; equivalent relevant experience may be considered. 8+ years of experience in Agile delivery, technical program integration, systems integration, release management, software-intensive programs, or operational program execution, including senior responsibility for cross-team delivery. Demonstrated hands-on experience implementing and executing the Scaled Agile Framework (SAFe) in a complex, multi-team technical environment; certification or classroom knowledge alone is not sufficient. Demonstrated experience leading or directly facilitating SAFe program-level activities, including: PI Planning, PI execution, and PI objective management; ART Sync, Scrum of Scrums, and dependency coordination; System Demos, Inspect & Adapt, and continuous improvement activities; ROAM risk management, impediment escalation, and cross-team issue resolution; Release planning, capability synchronization, and enterprise delivery visibility Strong hands-on experience using Jira and Confluence to configure workflows, dashboards, roadmaps, backlogs, dependencies, reporting, and program-level delivery views supporting SAFe execution. Applied knowledge of SAFe Lean-Agile principles, ART execution, backlog hierarchy, capabilities and features, WSJF or comparable prioritization, flow metrics, and value delivery. Working knowledge of systems integration, systems engineering, software development, cloud, cybersecurity, DevSecOps, CI/CD, test, and operational mission environments. Experience coordinating cross-functional and multi-organizational technical teams where execution depends on influence, integration, and stakeholder alignment rather than direct authority. Strong understanding of dependency management, release coordination, schedule integration, milestone tracking, delivery synchronization, execution risk, and alignment between Agile plans and program schedules. Strong analytical, organizational, facilitation, leadership, communication, and stakeholder management skills in classified, mission-critical, fast-paced environments. Desired Qualifications Experience supporting operational Command and Control (C2), space mission systems, mission systems integration, or cloud-native operational environments within DoD or the Intelligence Community. Experience with Jira Advanced Roadmaps, Jira Align, Structure, BigPicture, Tempo, or equivalent enterprise Agile planning and portfolio management tools. Experience serving as a Release Train Engineer (RTE), Senior Scrum Master, Agile Program Lead, or comparable SAFe program-level integration role supporting one or more ARTs. Experience integrating SAFe execution with DevSecOps pipelines, CI/CD, software factories, cloud-native delivery, systems engineering, and operational integration. Experience supporting operational readiness reviews, MVP releases, system demonstrations, mission rehearsals, operational acceptance, or IOC demonstrations. SAFe Release Train Engineer (RTE), SAFe Agilist, SAFe Scrum Master, SAFe Practice Consultant (SPC), PMP, PMI-ACP, or equivalent certification preferred. Experience supporting executive-level reporting, Government stakeholders, U.S. Space Force or Space Systems Command organizations, or multi-contractor defense programs preferred. $150,000-$210,000 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.? PI4257d1a85bce-6984

Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base 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 . click apply for full job details

Description Brinks Home is a leader in the smart security industry, protecting over one million people across the U.S., Canada, and Puerto Rico. Our platinum-grade protection is backed by award-winning customer service and expertly trained professionals. We strive for the highest standards for our customers while fostering a positive work environment for our employees. We create a culture that fosters innovation, celebrates creativity, and encourages authenticity. Join us and be part of a collaborative team that is relentless in our pursuit of security for life. Position Overview: We are currently seeking a seasoned, results-driven Technical Product Owner who embodies our core values: Service, Accountability, Customer Focus, Growth, and Integrity. This role will lead the strategy, development, and optimization of our sales and field service experiences across mobile and web - the tools our field technicians rely on to install, activate, and service equipment in customers' homes every day. You will ensure our products deliver exceptional value to users, with a focus on usability, performance, and innovation. You will operate as the Product Owner on a Scrum team within a SAFe environment, working shoulder-to-shoulder with Field Operations, Engineering, and Sales, and using AI to work faster and smarter across the entire product lifecycle. As a senior individual contributor, you will set direction in ambiguous problem spaces with minimal oversight, influence without authority, and raise the bar for product practice across the team. Key Responsibilities: Own and manage the mobile and web product backlog, equipment inventory capabilities, and scheduling and dispatch capabilities. Prioritize features that enhance the user experience across both platforms. Define clear user stories, acceptance criteria, and success metrics with instrumentation defined up front, then use experimentation - A/B tests, feature flags, and phased rollouts - and post-release data to measure adoption and iterate. Collaborate with UX/UI designers to ensure intuitive, responsive, and accessible mobile and web interfaces. Advocate for mobile-first, responsive design principles across the organization and stay current on mobile and web trends, technologies, and best practices. Partner with Field Operations leadership and field technicians to translate equipment job installation, activation, and service workflows into clear product requirements. Own and communicate the product roadmap for your area, sequencing releases against business outcomes, keeping stakeholders current on status and expectations, and making trade-offs visible to leadership. Identify, pilot, and champion AI tools that accelerate discovery, backlog refinement, documentation, and day-to-day team productivity. Define requirements for AI-enabled product features such as guided troubleshooting, intelligent scheduling, and automated job verification - including data quality, human-in-the-loop review, and responsible-AI guardrails. Serve as Product Owner on a Scrum team operating within a SAFe cadence - PI planning, backlog refinement, iteration planning, reviews, and system demos. Manage cross-team dependencies and integration requirements across CRM, dispatch and scheduling, billing, e-signature, order management and inventory, and device telemetry systems. Partner with developers across the full software development lifecycle, from discovery through release - technical feasibility, timely delivery, QA, UAT, and deployment readiness. Define non-functional requirements with engineering - performance, offline and low-connectivity resilience, security, accessibility, and data-privacy compliance. Drive alignment across Field Ops, Sales, Engineering, QA, Training, and Customer Care in a fast-paced, cross-functional environment. Own release readiness and adoption: release notes, field enablement and training content, pilot and rollout plans, and post-launch issue triage with engineering. Required Qualifications: 7+ years of experience as a Product Owner, with a strong focus on mobile and web applications, including at least 3 years owning a technical product alongside an engineering team. 5+ years of experience with SAFe Agile methodology and Jira. AI-savvy - strong understanding of AI/ML for identifying opportunities, requirements, and design aligned with business goals, plus practical use of AI in day-to-day work to maximize individual and team productivity. Hands-on experience as a Product Owner on a Scrum team, including representing a product area across multiple PI planning cycles; SAFe (Scaled Agile Framework) experience strongly preferred. Command of the software development lifecycle and its supporting functions, including QA, release management, DevOps, documentation, and training. Strong requirements craft - user story mapping, process and workflow mapping, clear written specifications, and testable acceptance criteria. Proven track record of delivering successful, high-usage mobile (iOS and/or Android) and web applications from concept through multiple release cycles. Data fluency - comfortable querying data or working in BI dashboards, and using funnel, cohort, and adoption analysis to size opportunities and defend decisions. Ability to operate autonomously - setting direction in ambiguity, making defensible trade-off decisions, and driving outcomes end to end. Excellent communication, stakeholder management, and problem-solving skills, with the ability to communicate effectively across all levels of operations and users. Proven ability to thrive on fast-paced, cross-functional teams with competing priorities and shifting requirements. Preferred Qualifications: Experience within the home security industry and/or a field operations dispatch. Working knowledge of scheduling capabilities and inventory management. Experience with A/B testing and product analytics across mobile and web. Proficiency with backlog management, documentation, and design collaboration tooling. Experience mentoring or coaching less-experienced product owners and analysts, and influencing senior stakeholders without formal authority. Negotiation and conflict-resolution skills, with the ability to reconcile competing stakeholder priorities and hold a defensible "no." Executive storytelling - distilling complex technical and operational detail into concise written and verbal narratives for senior leadership. Customer and technician empathy, intellectual curiosity, and the adaptability to stay effective as priorities and requirements shift. Ability to manage multiple concurrent product initiatives without losing momentum on any of them. Benefits: Brinks Home recognizes the value of benefits for you and your family, so we offer a comprehensive and competitive benefits program: Medical, Dental, Vision, 401(k) with Employer Match, Paid Time Off & Paid Holidays, HSA/FSA, Life & AD&D Insurance, Disability Coverage, Maternity/Parental Leave, Mental & Physical Health Benefits, Employee Resource Groups, Volunteer Hours, Discounted Equipment & Monitoring, and Employee Referral Program To learn more about our company culture and career opportunities, please visit our LinkedIn and Career Page . Brinks Home provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Job Description Job Description Special Information This position is an on-site position which requires the incumbent to complete their work primarily at an NAU site, campus, or facility with or without accommodation. Opportunities for remote work are rare. This position is subject to the availability of funding. Driving a vehicle on behalf of the university is anticipated to be a regular part of this position. Arizona Administrative Code Fleet Safety Policy requires all employees who drive on university business become authorized by submitting Driver's license information for driving record monitoring, and completion of training appropriate to the level of driving performed. The law applies to all faculty, staff, and students who drive personal or university-owned motorized vehicles for any business purpose. More information on the NAU Authorized Driver Policy can be found on the NAU website. Due to this project's funding source, this position is open only to U.S. citizens and lawful permanent residents (green card holders). The position may require handling Controlled Unclassified Information (CUI) in accordance with sponsor and university data-security requirements. Work on this project may involve technical data, hardware, or software subject to U.S. export control regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR); the incumbent must be able to comply with applicable export control requirements and with any project-specific technology control plan. About the Department/College The Radiant Center for Remote Sensing, in partnership with the Dynamic and Active Systems Lab (DASL) in the Steve Sanghi College of Engineering at Northern Arizona University, seeks a Postdoctoral Research Associate to serve as lead technical researcher on a sponsored research project focused on radio source localization from unmanned aerial systems. This is one of several concurrent postdoctoral scholar recruitments at Radiant Center, and the successful candidate will collaborate closely with fellow postdoctoral researchers and faculty working simultaneously on related projects. About the Position The project, EMS Overmatch, develops and field-tests methods for locating radio-frequency sources using an aerial platform, combining signal-based position estimation with path-planning strategies that guide the UAV toward the vantage points that best resolve a source's location. The work builds on the lab's history of developing UAV-based radio-tracking systems, extending that foundation toward more capable localization and platform hardware for this new application area. The general research plan progresses from building out and validating a single-vehicle localization system. This will include hardware integration, field data collection, and flight testing across the varied terrain around Flagstaff. The program will progress toward more advanced localization and path-planning capabilities as the research matures. The postdoc will supervise graduate student researchers supporting the project, work closely with the PI, and contribute to technical reporting and manuscript preparation. The position is based in Flagstaff, AZ. Work Environment: This position requires a substantial amount of fieldwork, including UAV flight testing across Flagstaff-area terrain ranging from desert and canyon country to ponderosa pine, mixed conifer forest, and alpine tundra (spanning close to 8,000 feet of elevation change within about an hour of campus), as well as occasional overnight or multi-day travel for more distant field campaigns and for conference travel. Laboratory work involves electronics assembly/test equipment, RF signal generators and spectrum analyzers, 3D printers, and drone hardware. The position may require occasional overtime, particularly around field campaigns and sponsor reporting deadlines. The position may require handling Controlled Unclassified Information (CUI) in accordance with sponsor and university data-security requirements. Responsibilities Include 45% - Radio Source Localization & Path Planning Research Lead development of algorithms and software development for real-time radio-frequency (RF) source localization from an aerial platform. Develop and evaluate path-planning strategies that optimize UAV positioning to improve localization accuracy and efficiency. Investigate RF propagation modeling approaches, including terrain-aware and simplified models, to characterize tradeoffs between prediction accuracy and computational cost in complex terrain. Contribute to the ongoing evolution of the project's research approach as findings develop, including potential extensions to additional operating scenarios. 25% - UAV Platform Development, Field Testing & Test Coordination Lead integration and adaptation of UAV hardware and RF-sensing payloads (hardware and software) to meet project and applicable federal hardware requirements. Plan and lead field data collection campaigns and flight tests across varied terrain to support algorithm development and validation. Coordinate test logistics and scheduling with the research team, including field-site arrangements, safety planning, and equipment readiness. Develop simulation-based and hardware-in-the-loop testing of localization and path-planning software. Collaborate with other researchers conducting related work on related topics in a team environment. 15% - Team Supervision & Mentoring Direct the day-to-day technical work of graduate student researchers supporting the project. Mentor graduate students in research methods, technical development, and professional growth. 10% - Dissemination, Reporting & Travel Prepare technical reports and milestone updates for project sponsors. Author and co-author peer-reviewed manuscripts and conference presentations. Travel to attend and present research findings at technical conferences, and travel to field sites to support testing and data collection campaigns. 5% - Other Perform other duties as assigned in support of lab and project needs. Minimum Qualifications Ph.D. in Electrical Engineering, Mechanical Engineering, Robotics, or a closely related field, completed prior to the start date. A combination of related education, experience, and training may be used as an equivalent to the above Minimum Qualifications. Preferred Qualifications Demonstrated research experience in RF signal processing, propagation modeling, source localization, or a closely related discipline such as optimization, estimation, or controls. Proficiency in Python and/or C++. Applied experience with software-defined radio (SDR) systems. Robotic path/trajectory planning or simultaneous localization and mapping (SLAM) experience. Hands-on experience with drone hardware and software, including integrating sensors and compute onto UAV flight- controller/autopilot stacks (e.g., Pixhawk, Cube, ArduPilot/PX4) and edge-compute platforms (e.g., Raspberry Pi). Field research/testing experience with UAV systems Record of peer-reviewed publications in the area of RF topic and/or robotics. Demonstrated ability to mentor and direct graduate student researchers. FAA Part 107 Remote Pilot Certificate, or willingness to obtain one shortly after hire. Knowledge, Skills, & Abilities Strong programming skills in Python and/or C++. Working knowledge of optimization, estimation, or path-planning methods, and RF propagation/signal processing principles. Ability to take initiative and complete complex, ambiguous technical tasks with minimal direct supervision. Ability to synthesize complex technical information into clear written reports, manuscripts, and presentations. Ability to safely plan and execute UAV field operations, including in remote/rugged terrain and under variable weather conditions. Ability to mentor and direct the day-to-day technical work of graduate student researchers. Compensation Salary range begins at $70,000. Annual salary commensurate with candidate's qualifications and related experience. Pre-Employment Check Northern Arizona University requires satisfactory results for the following: a criminal background investigation, an employment history verification and a degree verification (in some cases) prior to employment. You may also be required to complete a fingerprint background check. Also, as an employer in the state of Arizona, NAU is required to participate in the federal E-Verify program that assists employers with verifying new employees' right to work in the United States. This position has been identified as a safety/security sensitive position. Therefore, per AZ Revised Statute, Northern Arizona University requires satisfactory results for the following: a criminal background investigation, employment history investigation, degree verification (in some cases) and fingerprinting. If you are applying for a job that requires a CDL, you will be required to register with the Federal Motor Carrier Safety Administration Drug & Alcohol Clearinghouse and adhere to the clearinghouse requirements. Notice of Availability of the Annual Fire and Security Report Each year Northern Arizona University releases an Annual Security Report. The report is a result of a federal law known as the Clery Act. The report includes Clery reportable crime statistics for the three most recent completed calendar years and discloses procedures . click apply for full job details

Description: CarShield is seeking an experienced AI Specialist with full-stack development expertise to join its growing AI team. In this role, you will build, support, and improve internal applications used by the Claims, Quality Assurance, and Sales teams. The application portfolio includes tools for paid-claims review, multi-vendor parts sourcing, outbound lead management, and representative training, including AI-enabled functionality that uses large language models and AI agents to review claims and score risk. In this role, you will: Support and improve production applications by resolving user-reported issues, performance bottlenecks, and edge cases. Build new features from development through deployment using Angular, TypeScript, C#, and ASP.NET Core (.NET 10). Maintain and modernize applications through Angular upgrades, dependency updates, vulnerability patching, and database migrations. Diagnose and optimize slow queries and overall application performance. Maintain integrations with SQL Server, Microsoft Fabric, Salesforce, and third-party vendor APIs. Support and monitor large language model and AI-agent functionality embedded in production applications. Containerize and deploy applications using Docker and GitHub Actions. Support application authentication and access using Active Directory and LDAPS. Work within existing codebases, understand established design decisions, and implement thoughtful, maintainable changes. Collaborate in a fast-moving environment where solutions are released, measured, and improved based on real-world results. Perform other duties as assigned. Compensation and Benefits Salary commensurate with experience. Group insurance, including medical, dental, vision, and life coverage. 401(k) with employer match. Discounted CarShield policies. Discounted tuition at Lindenwood University. Professional development opportunities. On-site basketball and other recreation. On-site fitness facilities and classes led by a staff personal trainer at the St. Peters headquarters. Requirements: Ability to work fully on-site at CarShield's St. Peters, Missouri, office five days per week. Bachelor's degree in Computer Science, Software Engineering, Management Information Systems, or equivalent practical experience. Strong full-stack software development experience in a production environment. Hands-on experience with C# and ASP.NET Core/.NET. Strong understanding of relational databases and SQL; SQL Server experience preferred. Experience supporting and maintaining applications after production launch. Ability to troubleshoot production issues, analyze existing code, and implement durable fixes. Ability to work from evolving requirements and independently drive features from development through deployment. Experience with REST APIs and third-party system integrations. Interest in building AI-enabled applications and working with large language models or AI agents. Familiarity with Docker, CI/CD pipelines, and GitHub Actions preferred. Experience with Active Directory, LDAP/LDAPS, or enterprise authentication preferred. Experience with Microsoft Fabric or Salesforce integrations preferred. PI605c87555aa7-6582

Job Description Job Description About the Institute of Foundation Models The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, support the next generation of AI builders, and develop impactful systems that improve how frontier models are trained, evaluated, deployed, and governed. As part of our team, you will work closely with researchers, machine learning engineers, data scientists, software engineers, and product teams on some of the most important challenges in AI development. You will contribute to systems that help measure model quality, identify failure modes, and improve the reliability, safety, and readiness of model releases. The Role We are looking for an Eval360 - Error Analysis Engineer to help build, improve, and operate Eval360, an evaluation service that serves as a quality gate for AI models. This person will focus specifically on error analysis : understanding where models fail, why they fail, how those failures should be categorized, and how evaluation systems can better detect, measure, and prevent these issues before models are released. You will collaborate with researchers, machine learning engineers, product managers, data scientists, and platform teams to develop AI evaluation applications and internal tools based on next-generation AI research. You will be part of a cross-functional team responsible for the full software development lifecycle, from requirements gathering and system design to implementation, deployment, monitoring, debugging, documentation, and continuous improvement. The ideal candidate is comfortable working across the stack, including front-end interfaces for reviewing errors, back-end evaluation pipelines, data analysis workflows, model evaluation infrastructure, databases, dashboards, and APIs. This person should have strong software engineering skills, excellent analytical judgment, and the ability to turn ambiguous model failures into structured insights that improve evaluation quality. Key Responsibilities • Collaborate with researchers, machine learning engineers, data scientists, product managers, and internal stakeholders to implement innovative software solutions for Eval360 and related model evaluation workflows. • Build and improve Eval360 as an evaluation service that acts as a quality gate for model development, model comparison, and model release decisions. • Perform deep error analysis on model outputs, including identifying failure patterns, categorizing issues, tracing root causes, and proposing improvements to evaluation methodology. • Develop tools, workflows, and dashboards that make it easier for researchers and engineers to inspect model failures, compare model behavior, and understand quality regressions. • Design and implement client-side and server-side architecture for evaluation review systems, error analysis interfaces, reporting tools, and internal evaluation applications. • Develop responsive, usable interfaces that support error triage, annotation review, evaluation debugging, and model quality investigation. • Build and maintain back-end services, APIs, data pipelines, and integrations that support evaluation execution, results storage, analysis, and reporting. • Test software to ensure responsiveness, correctness, reliability, and efficiency across evaluation workflows. • Troubleshoot, debug, and upgrade evaluation systems, including identifying issues in data processing, evaluation metrics, model output handling, job orchestration, and user-facing analysis tools. • Create and maintain security, access control, and data protection settings for evaluation data, model outputs, annotations, and internal tooling. • Write clear technical documentation for Eval360 systems, error taxonomies, evaluation workflows, debugging procedures, and user-facing tools. • Work with researchers, data scientists, analysts, and machine learning engineers to improve evaluation quality, model diagnostics, and failure-mode visibility. • Keep track of new development tools, evaluation frameworks, model analysis methods, data quality techniques, and architectures relevant to AI evaluation systems. • Contribute to the design of error taxonomies, evaluation rubrics, quality thresholds, regression detection methods, and model readiness criteria. • Help ensure Eval360 produces reliable, interpretable, and actionable signals for model quality gates. • Contribute to research publications, technical reports, internal knowledge sharing, and external presentations where appropriate. • Contribute to intellectual property and thought leadership in AI evaluation, error analysis, model quality measurement, and evaluation infrastructure. • Perform all other duties as reasonably directed by the line manager that are aligned with these functional objectives. Academic Qualifications • Bachelor's degree in Computer Science, Machine Learning, Data Science, Software Engineering, Statistics, or a related technical field required. • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field preferred. Professional Experience • Proven experience as a Software Engineer, Full Stack Developer, Machine Learning Evaluation Engineer, Data Scientist, AI Engineer, or similar role. • Experience building software systems for AI, machine learning, data analysis, evaluation, annotation, experimentation, or model monitoring. • Experience working with AI algorithms and the ability to develop systems that accommodate AI-related requirements. • Experience performing error analysis, model evaluation, data quality analysis, or failure-mode investigation for machine learning or language model systems. • Experience developing internal applications, dashboards, review tools, or web-based workflows for technical users. • Familiarity with common software stacks, including front-end frameworks, back-end services, databases, APIs, and cloud or internal infrastructure. • Familiarity with GitHub, Git, CI/CD workflows, and collaborative software development practices. • Knowledge of front-end languages and libraries such as HTML, CSS, JavaScript, TypeScript, React, Angular, or similar technologies. • Knowledge of back-end languages and frameworks such as Python, Java, C#, Node.js, FastAPI, Flask, Django, or similar technologies. • Familiarity with databases such as MySQL, PostgreSQL, MongoDB, or other structured and unstructured data stores. • Familiarity with evaluation frameworks, experiment tracking systems, data pipelines, or machine learning infrastructure is strongly preferred. • Ability to analyze complex model outputs and translate qualitative failures into structured, measurable categories. • Strong problem-solving and troubleshooting skills, especially for ambiguous technical issues involving models, data, metrics, and software systems. • Effective communication and collaboration skills, with the ability to work across research, engineering, data, and product teams. • Strong attention to detail and a high bar for evaluation quality, reliability, and interpretability. Preferred Qualifications • Experience with large language models, foundation models, multimodal models, or model evaluation systems. • Experience designing or using error taxonomies, evaluation rubrics, benchmark datasets, human evaluation workflows, or automated grading systems. • Experience with Python-based data analysis tools such as pandas, NumPy, Jupyter, or similar. • Experience with visualization or dashboarding tools for model quality analysis. • Experience with distributed systems, job queues, workflow orchestration, or large-scale data processing. • Experience working in a research environment or with fast-moving AI product and model teams. Salary Range The posted salary range represents the company's good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include • Comprehensive medical, dental, and vision benefits • Bonus • 401K plan • Generous paid time off, sick leave, and holidays • Paid parental leave • Employee assistance program • Life insurance and disability insurance

Set and drive strategies to transform operations planning business processes, focusing on schedule reliability, cost reduction and optimization; Influence leaders, squads and peers on strategy, technical feasibilities, DevOps best practices, software performance optimizations, roadmap items, OKRs and upcoming releases; Collaborate with internal teams, and Operations Research, IT and Network Planning teams to build the next generation of planning tools. Plan, organize, and direct the design, development, and implementation of enterprise planning products using cloud technologies, advanced analytics, and efficient workflow design; Design and optimize operational planning processes to improve operational performance; Design experiments, conduct feasibility studies, systems analysis, and technical economic assessments of various schedule constraints and operational standards; Mine, model, analyze, and evaluate operational data to identify root cause factors impacting network reliability; Play a key role in solving complex science problems which contribute to development of network schedules and operations plans; Coordinate process engineering projects across departments. Work closely with cross-functional teams to implement improvements; Contribute to the technical architecture and design of products by collaborating with engineering teams to ensure alignment with enterprise system architecture and cloud best practices; Collaborate with operational planning departments across divisions (Airport planning, Technical Operations/Maintenance, Integrated Operations Center Planning, Crew Planning), Operational leadership, and Network Planning in the development of future schedules and schedule solutions; Utilize technical analytics including A/B testing, product architecture, continuous deployment process, DevOps practices, data models and analytics, querying languages, tools supporting automation/metrics and other technologies in support of improved operational performance; Understand the budgetary implications and related organizational constraints in factoring areas of focus; Practice agility in discovering and delivering value continuously. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX Education and Experience Requirements Masters degree in Data Science, Business Analytics, or related field, plus 2 years of experience as Analyst, Product Owner, Specialist, Consultant, or any occupation in which the required experience was gained, and demonstrated experience in: Python Programming; SQL Programming; Airline Operations and Schedule Planning; Airline business model; Machine Learning and statistical Forecast Models for Airlines; Azure Databricks for automating workflows and data pipelines; Azure Data Factory; Azure DevOps; Tableau Dashboards for tracking performance; Test Driven Development; A/B Testing; Software Development; Data Analysis; Data Engineering. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.