Description: All applicants must be located in, or willing to commute to Dayton, OH. Relocation is not available. This is not a remote position. At FC Industries, we believe that your success is our success. Since our founding in 1972, we've grown from a small family business into a thriving manufacturing organization with more than 390,000 square feet of space. Now in our second generation of family ownership and leadership, we continue to invest in our people, our facilities, and the technology that drives us forward. We're continuing to invest in advanced manufacturing equipment, automation, and new technology to support our growth. That means our business systems are more important than ever. We're looking for a Senior IT Systems Developer who can help us connect our technology, improve how we work, and build solutions that support the future of our entire organization. About the Role: FC Industries is seeking a Senior Epicor Kinetic Developer to serve as our internal technical expert for Epicor. This hands-on role develops custom applications, extends business logic, builds integrations, and resolves complex issues within our Epicor Kinetic environment. You will work with IT leadership and business teams to translate operational needs into reliable, maintainable ERP solutions. You should understand how Epicor works beneath the screen: its data relationships, business objects, transaction flow, and customization tools. One day you may build a custom application in Epicor; another, you may investigate a system issue or help our Data Analyst develop a Power BI report by identifying the right data and explaining the business logic behind it. Benefits of being a Senior Epicor Kinetic Developer: Medical, Dental, Vision Insurance HSA with Company Seed Money Life insurance and disability plans Immediate holiday pay Paid Time Off 401k retirement savings with company match Pay for school with 100% tuition reimbursement (books included!) On-site café/convenience store Weekly paychecks Free on-site wellness coaching and YMCA discount Corporate partner discounts through Verizon, Chrysler, GM, and Working Advantage Fun perks such as gift cards, 50/50 drawings, picnics, holiday parties, employee appreciation days and more! Essential Functions: Serve as the primary technical resource for Epicor Kinetic architecture, data structures, business objects, and customization tools. Design, build, test, deploy, and maintain custom Epicor applications, screens, and dashboards using Kinetic Application Studio. Develop Business Process Management (BPM) directives and Epicor Functions to automate workflows, validate transactions, and implement reusable business logic. Build, optimize, and document Business Activity Queries (BAQs), calculated fields, and user-defined data structures to support business requirements. Design and support integrations between Epicor and other business or manufacturing systems using REST APIs, business objects, and approved integration tools. Partner with the Data Analyst on Power BI reporting. Identify source data, explain table relationships and transaction logic, build reliable datasets, and validate results against Epicor transactions. Assist with report development, data modeling, and data quality or refresh issues as needed. Diagnose complex application, workflow, integration, performance, and data issues; determine root causes and coordinate resolution with Epicor support and external vendors. Gather requirements from business teams, evaluate standard Epicor functionality, and recommend appropriate configurations, customizations, or integrations. Support Epicor implementations, migrations, upgrades, and release validation, including regression testing of customizations, integrations, and reporting dependencies. Document solution designs, code, dependencies, and test results. Maintain version control and controlled deployments between development, test, and production environments. Apply appropriate permissions, secure API access, and supported development methods that protect data integrity and maintainability in a cloud-hosted ERP environment. Share Epicor technical knowledge with IT and business teams to strengthen internal capability and ongoing support. Requirements: Required Qualifications: 7+ years of ERP or enterprise application development experience, including substantial hands-on Epicor ERP development and recent production experience with Epicor Kinetic. U.S. Citizenship Required: Due to FC Industries' work supporting Department of Defense (DoD) programs and applicable regulatory compliance requirements, applicants must be U.S. citizens Proven ability to independently deliver Epicor solutions using Application Studio, BPMs, BAQs, and Epicor Functions. Strong understanding of the Epicor data model, business objects, table relationships, and transaction flow. C# development experience for Epicor business logic or integrations, with working knowledge of .NET. Working knowledge of relational databases and SQL query logic, with experience retrieving and validating Epicor data through BAQs, APIs, and approved data access methods. Experience with REST APIs, JSON, web services, authentication, and system integration patterns. Strong problem-solving and communication skills, with the ability to manage priorities, document work, and collaborate with technical and nontechnical colleagues. Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field, or an equivalent combination of education and relevant experience. Preferred Qualifications: Manufacturing industry experience, including Epicor workflows for orders, jobs, purchasing, inventory, and financial transactions. Experience with cloud-hosted Epicor environments, upgrades, and implementations across multiple companies or sites. Microsoft Power BI experience, including data modeling, Power Query, or DAX; experience with Epicor reporting tools such as SQL Server Reporting Services (SSRS). Experience using Microsoft Power Apps and Power Automate to extend or integrate with Epicor. PIf441bd0e86e8-0750
11/13/2026
Full time
Description: All applicants must be located in, or willing to commute to Dayton, OH. Relocation is not available. This is not a remote position. At FC Industries, we believe that your success is our success. Since our founding in 1972, we've grown from a small family business into a thriving manufacturing organization with more than 390,000 square feet of space. Now in our second generation of family ownership and leadership, we continue to invest in our people, our facilities, and the technology that drives us forward. We're continuing to invest in advanced manufacturing equipment, automation, and new technology to support our growth. That means our business systems are more important than ever. We're looking for a Senior IT Systems Developer who can help us connect our technology, improve how we work, and build solutions that support the future of our entire organization. About the Role: FC Industries is seeking a Senior Epicor Kinetic Developer to serve as our internal technical expert for Epicor. This hands-on role develops custom applications, extends business logic, builds integrations, and resolves complex issues within our Epicor Kinetic environment. You will work with IT leadership and business teams to translate operational needs into reliable, maintainable ERP solutions. You should understand how Epicor works beneath the screen: its data relationships, business objects, transaction flow, and customization tools. One day you may build a custom application in Epicor; another, you may investigate a system issue or help our Data Analyst develop a Power BI report by identifying the right data and explaining the business logic behind it. Benefits of being a Senior Epicor Kinetic Developer: Medical, Dental, Vision Insurance HSA with Company Seed Money Life insurance and disability plans Immediate holiday pay Paid Time Off 401k retirement savings with company match Pay for school with 100% tuition reimbursement (books included!) On-site café/convenience store Weekly paychecks Free on-site wellness coaching and YMCA discount Corporate partner discounts through Verizon, Chrysler, GM, and Working Advantage Fun perks such as gift cards, 50/50 drawings, picnics, holiday parties, employee appreciation days and more! Essential Functions: Serve as the primary technical resource for Epicor Kinetic architecture, data structures, business objects, and customization tools. Design, build, test, deploy, and maintain custom Epicor applications, screens, and dashboards using Kinetic Application Studio. Develop Business Process Management (BPM) directives and Epicor Functions to automate workflows, validate transactions, and implement reusable business logic. Build, optimize, and document Business Activity Queries (BAQs), calculated fields, and user-defined data structures to support business requirements. Design and support integrations between Epicor and other business or manufacturing systems using REST APIs, business objects, and approved integration tools. Partner with the Data Analyst on Power BI reporting. Identify source data, explain table relationships and transaction logic, build reliable datasets, and validate results against Epicor transactions. Assist with report development, data modeling, and data quality or refresh issues as needed. Diagnose complex application, workflow, integration, performance, and data issues; determine root causes and coordinate resolution with Epicor support and external vendors. Gather requirements from business teams, evaluate standard Epicor functionality, and recommend appropriate configurations, customizations, or integrations. Support Epicor implementations, migrations, upgrades, and release validation, including regression testing of customizations, integrations, and reporting dependencies. Document solution designs, code, dependencies, and test results. Maintain version control and controlled deployments between development, test, and production environments. Apply appropriate permissions, secure API access, and supported development methods that protect data integrity and maintainability in a cloud-hosted ERP environment. Share Epicor technical knowledge with IT and business teams to strengthen internal capability and ongoing support. Requirements: Required Qualifications: 7+ years of ERP or enterprise application development experience, including substantial hands-on Epicor ERP development and recent production experience with Epicor Kinetic. U.S. Citizenship Required: Due to FC Industries' work supporting Department of Defense (DoD) programs and applicable regulatory compliance requirements, applicants must be U.S. citizens Proven ability to independently deliver Epicor solutions using Application Studio, BPMs, BAQs, and Epicor Functions. Strong understanding of the Epicor data model, business objects, table relationships, and transaction flow. C# development experience for Epicor business logic or integrations, with working knowledge of .NET. Working knowledge of relational databases and SQL query logic, with experience retrieving and validating Epicor data through BAQs, APIs, and approved data access methods. Experience with REST APIs, JSON, web services, authentication, and system integration patterns. Strong problem-solving and communication skills, with the ability to manage priorities, document work, and collaborate with technical and nontechnical colleagues. Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field, or an equivalent combination of education and relevant experience. Preferred Qualifications: Manufacturing industry experience, including Epicor workflows for orders, jobs, purchasing, inventory, and financial transactions. Experience with cloud-hosted Epicor environments, upgrades, and implementations across multiple companies or sites. Microsoft Power BI experience, including data modeling, Power Query, or DAX; experience with Epicor reporting tools such as SQL Server Reporting Services (SSRS). Experience using Microsoft Power Apps and Power Automate to extend or integrate with Epicor. PIf441bd0e86e8-0750
Date Posted: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However . click apply for full job details
11/13/2026
Full time
Date Posted: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However . click apply for full job details
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate problem solvers, innovators, and dreamers - and help us connect people and build communities to compose economic opportunity for all. The Role People are at the center of everything we do. The People Technology Solutions team (within our People Operations organization) provides the enabling technology foundation for candidate and employee experience at eBay. Our ecosystem is anchored in Workday HCM and extended through best-in-class SaaS platforms, custom applications, analytics, and emerging AI driven solutions. We are looking for a product-minded Sr. People Technology Analyst to help shape and scale eBay's recruiting technology experience. This role will partner closely with Talent Acquisition, TA Operations, IT, and other collaborators. It will focus on understanding business needs, defining product priorities, and delivering solutions. These solutions help candidates, hiring managers, and recruiters navigate the entire recruiting process. Workday Recruiting is a core platform for this role, but the scope is broader than Workday configuration. The successful candidate will think end-to-end across the TA ecosystem, including integrated sourcing, screening & assessment, interview scheduling, and structured interview tools, skills data, reporting, user experience, automation, and AI-enabled capabilities. This person will help translate recruiting strategy into scalable technology solutions, and improve the candidate, manager and recruiter experiences at eBay. This individual contributor role is a hybrid role with proximity to our Salt Lake City office. Working arrangements are Hybrid (3 days onsite/week) in the Salt Lake City office. Also, the ability to work flexible hours for global collaboration, when needed. What You'll Accomplish: Serve as a product-minded technology partner for eBay's recruiting ecosystem, with Workday Recruiting as the core platform. Contribute to roadmap development for recruiting technology enhancements, balancing business priorities, user needs, operational requirements, and technical feasibility. Partner with Talent Acquisition, TA Operations, IT, and other collaborators to understand needs, define requirements, and prioritize solutions. Partner with TA Operations to support and enhance the recruiting technology ecosystem, including interview scheduling platforms (Paradox), CRM platforms (Gem, Phenom People) and AI-enabled recruiting tools (HiredScore, Textio, BrightHire, CodeSignal etc). Collaborate cross-functionally to translate business and technical requirements into scalable solution builds and AI use cases, including user stories, process flows, business rules, solution concepts, and success measures. Lead configuration, testing, deployment, and optimization of Workday Recruiting for assigned projects. Identify and implement automation opportunities using AI and workflow orchestration tools (e.g., Workday Developer Agent, Sana Agent Builder or similar platforms). Support development of custom applications using Workday Extend where tailored solutions are required. Develop and maintain reports, dashboards, and calculated fields to enable data-driven decisions. Provide production support and issue resolution while identifying root causes and scalable improvements. Support transitions, communications, training, and adoption for new/improved processes and capabilities. Partner with IT and vendors to support integrations, data flows, technical dependencies, and platform governance. Participate in internal audits, SOX cycles, data privacy reviews, and compliance-related documentation as needed. Maintain documentation, including product requirements, process maps, test scripts, release notes, project plans, and support materials. Stay ahead of Workday, recruiting technology, skills, AI, and HR technology trends, and assess their applicability to eBay's People technology ecosystem. What You'll Bring Bachelor's degree in Information Science, Human Resources, Computer Science, or equivalent experience. 3-5 years of dynamic hands-on HRIS experience, including experience with HR SaaS-based systems 3+ years of hands-on Workday configuration experience with at least 2+ years of Workday Recruiting configuration experience. Current on emerging AI trends in HR technology and assess applicability to eBay's people technology ecosystem. Strong functional expertise in recruiting end-to-end process. Strong analytical and problem-solving skills with the ability to deliver scalable solutions Excellent collaborator communication and cross-functional collaboration skills with the ability to take complex concepts and convey them simply to less technical audiences Working knowledge of data privacy regulations (e.g., GDPR). Ability to manage priorities independently in a fast-paced environment. Curiosity and willingness to learn emerging technologies and AI-enabled tools. Preferred Qualifications Workday certification in Recruiting; certifications in Workday HCM & other modules a plus Experience supporting recruiting ecosystem tools such as: Paradox, GoodTime (Interview Scheduling) Gem (CRM) HiredScore, Textio, BrightHire (AI/talent intelligence) Advanced Workday reporting expertise (calculated fields, matrix reports, dashboards). At least 1 year experience with Workday Onboarding and DocuSign integrations. Previous experience working in a service delivery model which includes a shared services organisation Previous consulting experience with a consulting/software company or previous experience with a medium-to-large multinational company Previous experience bringing to bear Workday AI/ML features to improve outcomes in HR Operations and User Experience Previous experience supporting global People processes across multiple regions (EMEA/APAC) a plus 1 or more years experience using generative AI tools (e.g., ChatGPT Enterprise, Microsoft Copilot, Gemini, Claude Code) to draft functional specifications, business requirements, test scripts, and training documentation. Accelerate report writing and calculated field logic design and/or 1 year of previous exposure to AI driven workflow automation/orchestration platforms or agent-building tools e.g. Sana Agent Builder, Google Agentspace, Glean, etc. (strongly preferred) Strong HR domain expertise with the ability to influence and promote leading practices Experience building or supporting applications using Workday Extend a plus. Additional Details The base pay range for this position is expected in the range below: $86,800 - $150,100 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible . click apply for full job details
11/13/2026
Full time
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate problem solvers, innovators, and dreamers - and help us connect people and build communities to compose economic opportunity for all. The Role People are at the center of everything we do. The People Technology Solutions team (within our People Operations organization) provides the enabling technology foundation for candidate and employee experience at eBay. Our ecosystem is anchored in Workday HCM and extended through best-in-class SaaS platforms, custom applications, analytics, and emerging AI driven solutions. We are looking for a product-minded Sr. People Technology Analyst to help shape and scale eBay's recruiting technology experience. This role will partner closely with Talent Acquisition, TA Operations, IT, and other collaborators. It will focus on understanding business needs, defining product priorities, and delivering solutions. These solutions help candidates, hiring managers, and recruiters navigate the entire recruiting process. Workday Recruiting is a core platform for this role, but the scope is broader than Workday configuration. The successful candidate will think end-to-end across the TA ecosystem, including integrated sourcing, screening & assessment, interview scheduling, and structured interview tools, skills data, reporting, user experience, automation, and AI-enabled capabilities. This person will help translate recruiting strategy into scalable technology solutions, and improve the candidate, manager and recruiter experiences at eBay. This individual contributor role is a hybrid role with proximity to our Salt Lake City office. Working arrangements are Hybrid (3 days onsite/week) in the Salt Lake City office. Also, the ability to work flexible hours for global collaboration, when needed. What You'll Accomplish: Serve as a product-minded technology partner for eBay's recruiting ecosystem, with Workday Recruiting as the core platform. Contribute to roadmap development for recruiting technology enhancements, balancing business priorities, user needs, operational requirements, and technical feasibility. Partner with Talent Acquisition, TA Operations, IT, and other collaborators to understand needs, define requirements, and prioritize solutions. Partner with TA Operations to support and enhance the recruiting technology ecosystem, including interview scheduling platforms (Paradox), CRM platforms (Gem, Phenom People) and AI-enabled recruiting tools (HiredScore, Textio, BrightHire, CodeSignal etc). Collaborate cross-functionally to translate business and technical requirements into scalable solution builds and AI use cases, including user stories, process flows, business rules, solution concepts, and success measures. Lead configuration, testing, deployment, and optimization of Workday Recruiting for assigned projects. Identify and implement automation opportunities using AI and workflow orchestration tools (e.g., Workday Developer Agent, Sana Agent Builder or similar platforms). Support development of custom applications using Workday Extend where tailored solutions are required. Develop and maintain reports, dashboards, and calculated fields to enable data-driven decisions. Provide production support and issue resolution while identifying root causes and scalable improvements. Support transitions, communications, training, and adoption for new/improved processes and capabilities. Partner with IT and vendors to support integrations, data flows, technical dependencies, and platform governance. Participate in internal audits, SOX cycles, data privacy reviews, and compliance-related documentation as needed. Maintain documentation, including product requirements, process maps, test scripts, release notes, project plans, and support materials. Stay ahead of Workday, recruiting technology, skills, AI, and HR technology trends, and assess their applicability to eBay's People technology ecosystem. What You'll Bring Bachelor's degree in Information Science, Human Resources, Computer Science, or equivalent experience. 3-5 years of dynamic hands-on HRIS experience, including experience with HR SaaS-based systems 3+ years of hands-on Workday configuration experience with at least 2+ years of Workday Recruiting configuration experience. Current on emerging AI trends in HR technology and assess applicability to eBay's people technology ecosystem. Strong functional expertise in recruiting end-to-end process. Strong analytical and problem-solving skills with the ability to deliver scalable solutions Excellent collaborator communication and cross-functional collaboration skills with the ability to take complex concepts and convey them simply to less technical audiences Working knowledge of data privacy regulations (e.g., GDPR). Ability to manage priorities independently in a fast-paced environment. Curiosity and willingness to learn emerging technologies and AI-enabled tools. Preferred Qualifications Workday certification in Recruiting; certifications in Workday HCM & other modules a plus Experience supporting recruiting ecosystem tools such as: Paradox, GoodTime (Interview Scheduling) Gem (CRM) HiredScore, Textio, BrightHire (AI/talent intelligence) Advanced Workday reporting expertise (calculated fields, matrix reports, dashboards). At least 1 year experience with Workday Onboarding and DocuSign integrations. Previous experience working in a service delivery model which includes a shared services organisation Previous consulting experience with a consulting/software company or previous experience with a medium-to-large multinational company Previous experience bringing to bear Workday AI/ML features to improve outcomes in HR Operations and User Experience Previous experience supporting global People processes across multiple regions (EMEA/APAC) a plus 1 or more years experience using generative AI tools (e.g., ChatGPT Enterprise, Microsoft Copilot, Gemini, Claude Code) to draft functional specifications, business requirements, test scripts, and training documentation. Accelerate report writing and calculated field logic design and/or 1 year of previous exposure to AI driven workflow automation/orchestration platforms or agent-building tools e.g. Sana Agent Builder, Google Agentspace, Glean, etc. (strongly preferred) Strong HR domain expertise with the ability to influence and promote leading practices Experience building or supporting applications using Workday Extend a plus. Additional Details The base pay range for this position is expected in the range below: $86,800 - $150,100 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible . click apply for full job details
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 3+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of full Software Development Life Cycle (SDLC) experience Prior experience designing and building agentic systems Prior experience developing and implementing AI solutions using Large-Language Models (LLMs) Airline or transport industry experience is a plus Skills, Licenses & Certifications Practical understanding of transformer architectures and how modern LLMs work Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection Experience developing and implementing governance frameworks and controls for responsible AI Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics Strong proficiency in Python; working knowledge of Java or another enterprise language Proficiency in object-oriented design techniques and principles Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native development patterns Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent Experience with RESTful API design and integration patterns (JSON, microservices) Experience in Agile methodologies, such as SCRUM What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/13/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 3+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of full Software Development Life Cycle (SDLC) experience Prior experience designing and building agentic systems Prior experience developing and implementing AI solutions using Large-Language Models (LLMs) Airline or transport industry experience is a plus Skills, Licenses & Certifications Practical understanding of transformer architectures and how modern LLMs work Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection Experience developing and implementing governance frameworks and controls for responsible AI Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics Strong proficiency in Python; working knowledge of Java or another enterprise language Proficiency in object-oriented design techniques and principles Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native development patterns Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent Experience with RESTful API design and integration patterns (JSON, microservices) Experience in Agile methodologies, such as SCRUM What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Job Description Job Description Description: Job Summary The Full Stack Developer is responsible for designing, developing, testing, deploying, and maintaining web applications and supporting services. This role collaborates closely with senior engineers and cross-functional stakeholders to deliver scalable, high-quality software solutions that align with business objectives. Beyond core application development, the position includes operational support responsibilities such as monitoring and reviewing logs, troubleshooting service issues, and contributing to database query optimization. Developers in this role are also expected to leverage AI-assisted development tools to enhance code quality, improve documentation, and increase delivery efficiency. What We Offer Salary commensurate with experience 401(k) with generous company match and immediate vesting Medical, Dental, Vision & Voluntary Benefits Company-paid Short-Term Disability, Long-Term Disability, and Life Insurance Non-Accrued Paid Time Off (PTO) policy providing flexibility and work-life balance 80 hours of paid Sick Time annually 10 paid holidays per year 96 paid volunteer hours annually to support causes you care about $1,000 annual Development Reimbursement for continued learning and growth Paid Parental Leave to support growing families Award-winning workplace culture and supportive team environment Opportunities for growth and recognition in a mission-driven organization Employee discounts and additional voluntary benefits including pet insurance, legal insurance, and more Essential Functions Design, develop, and enhance scalable front-end and back-end features using modern JavaScript frameworks and best practices Build, maintain, and evolve RESTful APIs and supporting application services to ensure reliability and performance Write clean, maintainable, well-documented, and testable code that adheres to established engineering standards Develop and maintain automated unit and integration tests to support long-term stability and quality Participate actively in peer code reviews and technical design discussions, contributing thoughtful feedback and continuous improvement Create and maintain clear technical documentation for systems, services, and APIs Monitor application health through log analysis and observability tools, proactively identifying and troubleshooting issues Support production environments by diagnosing incidents, resolving service disruptions, and implementing preventative improvements Optimize PostgreSQL queries and contribute to performance tuning initiatives to enhance system efficiency and scalability Contribute to CI/CD pipelines and deployment processes in collaboration with senior engineers Leverage AI-assisted development tools to support code implementation, refactoring, automated test generation, debugging, and documentation drafting Critically evaluate and validate AI-generated outputs to ensure accuracy, security, maintainability, and alignment with engineering standards Integrate AI-assisted workflows responsibly within established development practices and governance frameworks Collaborate closely with product managers, designers, and engineering team members to deliver solutions aligned with business objectives Provide informal mentorship and knowledge sharing to junior developers as appropriate Continuously expand technical expertise by staying current with emerging technologies, tools, and industry best practices Perform other duties as assigned Requirements: Knowledge, Skills & Abilities Strong proficiency in Node.js for building scalable, high-performance backend services. Strong proficiency in React.js for developing responsive, maintainable front-end applications. Deep understanding of modern JavaScript (ES6+) and contemporary web standards, including HTML5 and CSS3. Hands-on experience with PostgreSQL, including designing schemas and writing optimized, efficient queries. Practical experience implementing automated testing using frameworks such as Jest or Mocha. Solid understanding of RESTful API design principles and integration best practices. Proficient in Git-based version control workflows, including branching, merging, and collaborative development practices. DevOps & Systems Exposure: Working knowledge of containerization technologies (Docker preferred), CI/CD pipelines, and foundational cloud infrastructure concepts. Ability to analyze application logs, trace system-level issues, and support production troubleshooting. Foundational understanding of performance monitoring and optimization techniques. Experience leveraging AI-assisted tools to enhance software development workflows. Ability to critically evaluate, validate, and refine AI-generated code and documentation. Understanding of responsible AI usage within production environments, including security, quality, and governance considerations. Excellent verbal and written communication skills Expert technical skills with the ability to troubleshoot and assist and train others Excellent organizational skills and attention to detail Excellent time management skills with a proven ability to meet deadlines Ability to function well in a high-paced and at times stressful environment Extremely proficient with Google Suite or similar software with the ability to learn new or updated software Ability to work independently Values Carry passion. Desire excellence. Keep dreaming. Build community. Be Vivacious. Education & Experience Minimum 3 years relevant experience required Bachelor's degree or equivalent combination of education and experience preferred Additional Requirements Prolonged periods of sitting or standing at a desk and working on a computer Ability to bend, sit, and lift up to 50 lbs Less than 10% travel
11/13/2026
Full time
Job Description Job Description Description: Job Summary The Full Stack Developer is responsible for designing, developing, testing, deploying, and maintaining web applications and supporting services. This role collaborates closely with senior engineers and cross-functional stakeholders to deliver scalable, high-quality software solutions that align with business objectives. Beyond core application development, the position includes operational support responsibilities such as monitoring and reviewing logs, troubleshooting service issues, and contributing to database query optimization. Developers in this role are also expected to leverage AI-assisted development tools to enhance code quality, improve documentation, and increase delivery efficiency. What We Offer Salary commensurate with experience 401(k) with generous company match and immediate vesting Medical, Dental, Vision & Voluntary Benefits Company-paid Short-Term Disability, Long-Term Disability, and Life Insurance Non-Accrued Paid Time Off (PTO) policy providing flexibility and work-life balance 80 hours of paid Sick Time annually 10 paid holidays per year 96 paid volunteer hours annually to support causes you care about $1,000 annual Development Reimbursement for continued learning and growth Paid Parental Leave to support growing families Award-winning workplace culture and supportive team environment Opportunities for growth and recognition in a mission-driven organization Employee discounts and additional voluntary benefits including pet insurance, legal insurance, and more Essential Functions Design, develop, and enhance scalable front-end and back-end features using modern JavaScript frameworks and best practices Build, maintain, and evolve RESTful APIs and supporting application services to ensure reliability and performance Write clean, maintainable, well-documented, and testable code that adheres to established engineering standards Develop and maintain automated unit and integration tests to support long-term stability and quality Participate actively in peer code reviews and technical design discussions, contributing thoughtful feedback and continuous improvement Create and maintain clear technical documentation for systems, services, and APIs Monitor application health through log analysis and observability tools, proactively identifying and troubleshooting issues Support production environments by diagnosing incidents, resolving service disruptions, and implementing preventative improvements Optimize PostgreSQL queries and contribute to performance tuning initiatives to enhance system efficiency and scalability Contribute to CI/CD pipelines and deployment processes in collaboration with senior engineers Leverage AI-assisted development tools to support code implementation, refactoring, automated test generation, debugging, and documentation drafting Critically evaluate and validate AI-generated outputs to ensure accuracy, security, maintainability, and alignment with engineering standards Integrate AI-assisted workflows responsibly within established development practices and governance frameworks Collaborate closely with product managers, designers, and engineering team members to deliver solutions aligned with business objectives Provide informal mentorship and knowledge sharing to junior developers as appropriate Continuously expand technical expertise by staying current with emerging technologies, tools, and industry best practices Perform other duties as assigned Requirements: Knowledge, Skills & Abilities Strong proficiency in Node.js for building scalable, high-performance backend services. Strong proficiency in React.js for developing responsive, maintainable front-end applications. Deep understanding of modern JavaScript (ES6+) and contemporary web standards, including HTML5 and CSS3. Hands-on experience with PostgreSQL, including designing schemas and writing optimized, efficient queries. Practical experience implementing automated testing using frameworks such as Jest or Mocha. Solid understanding of RESTful API design principles and integration best practices. Proficient in Git-based version control workflows, including branching, merging, and collaborative development practices. DevOps & Systems Exposure: Working knowledge of containerization technologies (Docker preferred), CI/CD pipelines, and foundational cloud infrastructure concepts. Ability to analyze application logs, trace system-level issues, and support production troubleshooting. Foundational understanding of performance monitoring and optimization techniques. Experience leveraging AI-assisted tools to enhance software development workflows. Ability to critically evaluate, validate, and refine AI-generated code and documentation. Understanding of responsible AI usage within production environments, including security, quality, and governance considerations. Excellent verbal and written communication skills Expert technical skills with the ability to troubleshoot and assist and train others Excellent organizational skills and attention to detail Excellent time management skills with a proven ability to meet deadlines Ability to function well in a high-paced and at times stressful environment Extremely proficient with Google Suite or similar software with the ability to learn new or updated software Ability to work independently Values Carry passion. Desire excellence. Keep dreaming. Build community. Be Vivacious. Education & Experience Minimum 3 years relevant experience required Bachelor's degree or equivalent combination of education and experience preferred Additional Requirements Prolonged periods of sitting or standing at a desk and working on a computer Ability to bend, sit, and lift up to 50 lbs Less than 10% travel
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), computer vision, robotics, reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 1+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 1+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3 years of full Software Development Life Cycle (SDLC) experience Prior experience developing and implementing applications with optimization and/or machine learning models inside Prior experience developing and implementing generative-based AI solutions using Large-Language Models (LLMs) (e.g., Open AI GPT, Google Gemini, Llama) Airline Industry experience Skills, Licenses & Certifications Proficiency in Full Stack Development Proficiency and demonstrated experience in the following technologies: J2EE technologies: Java, JSP, JMS, JAXB, JDBC, EJB Database and persistence frameworks: Hibernate, Oracle, Object/Relational Mapping, Query performance tuning Cloud-based development: Azure Cloud, AWS Web Servers: Tomcat, tcServer, Websphere Web Services: REST/SOAP (JSON/WSDL/XML) Frameworks: Spring Framework, Spring Boot Front-end: Angular JS, CSS, jQuery, AJAX Build/deployment tools: Maven, Gradel, Git, Junit, Mockito Other Dev Ops Toolchain: Nexus Repository, SonarQube, Slack, GitHub, Jenkins, ElasticSearch, Logback, Log4j ADO Pipelines, Docker Other: Linux/Unix shell Scripting, JavaScript, IBM MQ/Rabbit MQ SQL Developer, IDE Proficiency in object-oriented design techniques and principles Proficiency in Retrieval Augmented Generation (RAG) techniques for generative-based AI models Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.) Experience in Agile methodologies, such as SCRUM Experience in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/13/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), computer vision, robotics, reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 1+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 1+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3 years of full Software Development Life Cycle (SDLC) experience Prior experience developing and implementing applications with optimization and/or machine learning models inside Prior experience developing and implementing generative-based AI solutions using Large-Language Models (LLMs) (e.g., Open AI GPT, Google Gemini, Llama) Airline Industry experience Skills, Licenses & Certifications Proficiency in Full Stack Development Proficiency and demonstrated experience in the following technologies: J2EE technologies: Java, JSP, JMS, JAXB, JDBC, EJB Database and persistence frameworks: Hibernate, Oracle, Object/Relational Mapping, Query performance tuning Cloud-based development: Azure Cloud, AWS Web Servers: Tomcat, tcServer, Websphere Web Services: REST/SOAP (JSON/WSDL/XML) Frameworks: Spring Framework, Spring Boot Front-end: Angular JS, CSS, jQuery, AJAX Build/deployment tools: Maven, Gradel, Git, Junit, Mockito Other Dev Ops Toolchain: Nexus Repository, SonarQube, Slack, GitHub, Jenkins, ElasticSearch, Logback, Log4j ADO Pipelines, Docker Other: Linux/Unix shell Scripting, JavaScript, IBM MQ/Rabbit MQ SQL Developer, IDE Proficiency in object-oriented design techniques and principles Proficiency in Retrieval Augmented Generation (RAG) techniques for generative-based AI models Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.) Experience in Agile methodologies, such as SCRUM Experience in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Job Description Description Be a Part of our Team! Join a working team that is dedicated to the mission of the work we do! Teaching Strategies is an innovative edtech organization focused on connecting teachers, children, and families. As front runners in the early childhood education market, we build dynamic, top-quality digital products that integrate all of the essential elements of a high-quality solution: curriculum, assessment, professional development, and family engagement. We are building a team of results-oriented individuals who will thrive in a collaborative, work-hard/play-hard culture. We pride ourselves on the impact we have on the early childhood field through supporting teachers who are doing the most important work there is, teaching children to become creative, confident thinkers. Position Overview We're seeking a senior Infrastructure Platform Engineer to help evolve our internal developer platform into an AI-first, intelligent system that makes infrastructure self-service, adaptive, and increasingly autonomous. In this role, you will work closely with platform leadership to implement and extend a vision for abstracting cloud infrastructure (AWS, Kubernetes, and Infrastructure as Code), while introducing AI-driven workflows, natural language interfaces, and intelligent automation into the developer experience. You'll be a hands-on technical expert in AWS EKS and platform engineering, building extensible tooling and systems that enable developers to provision, operate, and troubleshoot infrastructure through intuitive, context-aware workflows. This is a high-impact role for a senior engineer who operates with autonomy, contributes to platform direction, and executes at a high level across teams. Specific Roles & Responsibilities: Contribute to Platform Evolution Partner with platform leadership to evolve the internal developer platform toward an AI-first model Translate strategic direction into practical, scalable implementations Help shape platform capabilities through hands-on engineering and technical input Build Self-Service Infrastructure Design and implement self-service infrastructure systems that abstract away cloud complexity Build APIs, CLIs, and developer-facing tools that enable infrastructure provisioning without requiring deep cloud expertise Introduce AI-assisted interfaces (CLI, chat, UI) for provisioning, debugging, and operations Engineer and Scale Kubernetes Platforms (EKS) Design, build, and operate secure, multi-tenant Amazon EKS clusters Contribute to platform architecture, scalability, cost optimization, and reliability Implement policy, networking, and workload isolation best practices Implement Intelligent Platform Workflows Build systems that interpret infrastructure signals (logs, metrics, events) and provide actionable insights Develop AI-assisted workflows for incident triage, root cause analysis, and runbook generation/execution Enable human-in-the-loop automation for safe and controlled remediation Develop Developer Tooling and Experience Build platform SDKs, CLIs, and service templates that standardize infrastructure consumption Contribute to AI-powered copilots and assistants that improve developer productivity Enable natural language interaction with platform services where appropriate Codify Best Practices Implement reusable infrastructure patterns and opinionated defaults Encode security, scalability, and compliance into platform tooling Extend Infrastructure as Code practices (e.g., OpenTofu) with abstraction and validation layers Drive Observability and Insight Implement logging, metrics, and tracing across platform systems Leverage AI to detect anomalies, summarize system behavior, and surface actionable insights Contribute to systems that move from visibility to guided action Iterate and Improve Contribute to platform instrumentation and feedback loops Use data and developer feedback to improve usability, performance, and adoption Continuously refine platform capabilities based on real-world usage Collaborate Across Teams Work closely with application teams, SREs, and security engineers Support platform adoption through strong technical partnership Provide mentorship and guidance to engineers where needed Why This Role Matters Our developers should spend their time shipping features, not wrestling with YAML, Terraform, or cloud infrastructure. In this role, you'll help build a platform that is not only self-service, but intelligent and context-aware, enabling engineers to move faster, make better decisions, and focus on what matters most. This is an opportunity to: Operate as a senior, high-impact individual contributor on a modern platform team Help evolve infrastructure into an AI-first, intelligent system Build tools and systems that actively amplify developer productivity Qualifications: Core Experience 8+ years in infrastructure, SRE, DevOps, or platform engineering role Proven experience building or contributing to internal developer platforms Deep expertise in Amazon Web Services, especially EKS, IAM, and networking Strong programming skills (Python or Go), with experience building production-grade tools and services Strong understanding of Infrastructure as Code, GitOps, and cloud-native architectures AI-First and Systems Thinking Experience or strong interest in integrating AI/LLMs into developer or operational workflows Familiarity with APIs from providers like OpenAI or similar Understanding of event-driven architectures and their role in intelligent automation Ability to design adaptive, feedback-driven systems rather than static workflows Platform and Developer Experience Experience building developer tooling (CLIs, portals, SDKs) Familiarity with platforms like Backstage, Port, or custom developer portals Strong product mindset with a focus on usability and developer experience Collaboration and Influence Strong systems thinking and architectural design skills Ability to operate independently while aligning with platform direction Effective communication and cross-team collaboration skills AI-First Platform Principles From automation to intelligence - systems interpret and act, not just execute Context-aware interfaces - developers interact via guided and natural workflows Human-in-the-loop - automation includes safe approval and oversight Observability to action - insights lead to recommendations and responses Continuous learning - platforms improve through feedback and usage patterns Why Teaching Strategies At Teaching Strategies, our solutions and services are only as strong as the teams that create them. By bringing passion, dedication, and creativity to your job every day, there's no telling what you can do and where you can go! We provide a competitive compensation and benefits package, flexible work schedules, opportunities to engage with co-workers, access to career advancement and professional development opportunities, and the chance to make a difference in the communities we serve. Let's open the door to your career at Teaching Strategies! Some additional benefits & perks while working with Teaching Strategies Teaching Strategies offers our employees a robust suite of benefits and other perks which include: Competitive compensation package Employee Equity Appreciation Program Health and wellness insurance benefits 401k with employer match Flexible work environment Unlimited paid time off (which includes paid holidays and Winter Break) Paid parental leave Tuition assistance, professional development, and opportunities for career growth Best in class technology equipment for every employee Penthouse suite in downtown DC seconds away from Washington Nationals Stadium and Audi Field Teaching Strategies is an equal opportunity employer and is committed to fostering a workplace where everyone can thrive. Equal Employment Opportunity (EEO) Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act (EPPA)
11/13/2026
Full time
Job Description Job Description Description Be a Part of our Team! Join a working team that is dedicated to the mission of the work we do! Teaching Strategies is an innovative edtech organization focused on connecting teachers, children, and families. As front runners in the early childhood education market, we build dynamic, top-quality digital products that integrate all of the essential elements of a high-quality solution: curriculum, assessment, professional development, and family engagement. We are building a team of results-oriented individuals who will thrive in a collaborative, work-hard/play-hard culture. We pride ourselves on the impact we have on the early childhood field through supporting teachers who are doing the most important work there is, teaching children to become creative, confident thinkers. Position Overview We're seeking a senior Infrastructure Platform Engineer to help evolve our internal developer platform into an AI-first, intelligent system that makes infrastructure self-service, adaptive, and increasingly autonomous. In this role, you will work closely with platform leadership to implement and extend a vision for abstracting cloud infrastructure (AWS, Kubernetes, and Infrastructure as Code), while introducing AI-driven workflows, natural language interfaces, and intelligent automation into the developer experience. You'll be a hands-on technical expert in AWS EKS and platform engineering, building extensible tooling and systems that enable developers to provision, operate, and troubleshoot infrastructure through intuitive, context-aware workflows. This is a high-impact role for a senior engineer who operates with autonomy, contributes to platform direction, and executes at a high level across teams. Specific Roles & Responsibilities: Contribute to Platform Evolution Partner with platform leadership to evolve the internal developer platform toward an AI-first model Translate strategic direction into practical, scalable implementations Help shape platform capabilities through hands-on engineering and technical input Build Self-Service Infrastructure Design and implement self-service infrastructure systems that abstract away cloud complexity Build APIs, CLIs, and developer-facing tools that enable infrastructure provisioning without requiring deep cloud expertise Introduce AI-assisted interfaces (CLI, chat, UI) for provisioning, debugging, and operations Engineer and Scale Kubernetes Platforms (EKS) Design, build, and operate secure, multi-tenant Amazon EKS clusters Contribute to platform architecture, scalability, cost optimization, and reliability Implement policy, networking, and workload isolation best practices Implement Intelligent Platform Workflows Build systems that interpret infrastructure signals (logs, metrics, events) and provide actionable insights Develop AI-assisted workflows for incident triage, root cause analysis, and runbook generation/execution Enable human-in-the-loop automation for safe and controlled remediation Develop Developer Tooling and Experience Build platform SDKs, CLIs, and service templates that standardize infrastructure consumption Contribute to AI-powered copilots and assistants that improve developer productivity Enable natural language interaction with platform services where appropriate Codify Best Practices Implement reusable infrastructure patterns and opinionated defaults Encode security, scalability, and compliance into platform tooling Extend Infrastructure as Code practices (e.g., OpenTofu) with abstraction and validation layers Drive Observability and Insight Implement logging, metrics, and tracing across platform systems Leverage AI to detect anomalies, summarize system behavior, and surface actionable insights Contribute to systems that move from visibility to guided action Iterate and Improve Contribute to platform instrumentation and feedback loops Use data and developer feedback to improve usability, performance, and adoption Continuously refine platform capabilities based on real-world usage Collaborate Across Teams Work closely with application teams, SREs, and security engineers Support platform adoption through strong technical partnership Provide mentorship and guidance to engineers where needed Why This Role Matters Our developers should spend their time shipping features, not wrestling with YAML, Terraform, or cloud infrastructure. In this role, you'll help build a platform that is not only self-service, but intelligent and context-aware, enabling engineers to move faster, make better decisions, and focus on what matters most. This is an opportunity to: Operate as a senior, high-impact individual contributor on a modern platform team Help evolve infrastructure into an AI-first, intelligent system Build tools and systems that actively amplify developer productivity Qualifications: Core Experience 8+ years in infrastructure, SRE, DevOps, or platform engineering role Proven experience building or contributing to internal developer platforms Deep expertise in Amazon Web Services, especially EKS, IAM, and networking Strong programming skills (Python or Go), with experience building production-grade tools and services Strong understanding of Infrastructure as Code, GitOps, and cloud-native architectures AI-First and Systems Thinking Experience or strong interest in integrating AI/LLMs into developer or operational workflows Familiarity with APIs from providers like OpenAI or similar Understanding of event-driven architectures and their role in intelligent automation Ability to design adaptive, feedback-driven systems rather than static workflows Platform and Developer Experience Experience building developer tooling (CLIs, portals, SDKs) Familiarity with platforms like Backstage, Port, or custom developer portals Strong product mindset with a focus on usability and developer experience Collaboration and Influence Strong systems thinking and architectural design skills Ability to operate independently while aligning with platform direction Effective communication and cross-team collaboration skills AI-First Platform Principles From automation to intelligence - systems interpret and act, not just execute Context-aware interfaces - developers interact via guided and natural workflows Human-in-the-loop - automation includes safe approval and oversight Observability to action - insights lead to recommendations and responses Continuous learning - platforms improve through feedback and usage patterns Why Teaching Strategies At Teaching Strategies, our solutions and services are only as strong as the teams that create them. By bringing passion, dedication, and creativity to your job every day, there's no telling what you can do and where you can go! We provide a competitive compensation and benefits package, flexible work schedules, opportunities to engage with co-workers, access to career advancement and professional development opportunities, and the chance to make a difference in the communities we serve. Let's open the door to your career at Teaching Strategies! Some additional benefits & perks while working with Teaching Strategies Teaching Strategies offers our employees a robust suite of benefits and other perks which include: Competitive compensation package Employee Equity Appreciation Program Health and wellness insurance benefits 401k with employer match Flexible work environment Unlimited paid time off (which includes paid holidays and Winter Break) Paid parental leave Tuition assistance, professional development, and opportunities for career growth Best in class technology equipment for every employee Penthouse suite in downtown DC seconds away from Washington Nationals Stadium and Audi Field Teaching Strategies is an equal opportunity employer and is committed to fostering a workplace where everyone can thrive. Equal Employment Opportunity (EEO) Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act (EPPA)
Job Description Job Description The short version You'd build new applications for a company that makes real things, with direct access to the people who need them, and you'd make the product and design calls yourself. You'd do it alongside a small team of engineers who are very good at this. The hard integration layer, ERP, warehouse management, and the existing service fleet are already covered. You own what gets built on top. About the role Three things make this different from most "full stack" postings, plus one that will rule it out for some people: It's greenfield. You'd be building business tools from a clean slate. Modern stack, decisions still open. You are not inheriting a decade of someone else's shortcuts. You'd have strong peers, not a vacuum. An SRE owns our delivery platform and GitOps practice. Another engineer owns the integration layer between our core business systems and everything else, along with the data pipelines feeding it. Both are excellent at what they do and aren't going anywhere. You'd own the applications built on top. You would have genuine ownership, and real peers worth arguing with when a decision is genuinely hard. One expectation worth stating plainly: we want developers who extend those patterns, not just consume them. You don't have to own the platform, but you should be able to read it, add to it, and be trusted to do so. This is a small team. Your work is visible and your judgment carries, and there's also nowhere to hide. You'd learn the business, not just take orders from it. Requirements come from the department heads who need the software: purchasing, nutrition, operations, sales. They don't get filtered through a product organization, and they won't be. We don't have project managers and aren't planning to hire any. This is the part of the job we care about most, so it's worth being direct about it. The people asking will describe what they think they need. The work is to absorb their process well enough to understand what they actually need, which is frequently different and occasionally the opposite. We have seen that change the course of a project, more than once. An application built from the first description tends to work for a quarter and then quietly stop fitting. Plenty of capable developers can't do this, or don't want to. That's a legitimate preference and this is the wrong job for it. The trade: no product manager to turn a vague request into a spec, no designer to hand you a comp, and light management. Nobody will assign you tickets or check your progress daily. If you build your own structure, that's freedom. If you need someone else to build it for you, this will go badly for both of us. What you'll own Architecture, API design, and user experience for the applications you build Turning business requirements into roadmaps and shipped code, including deciding what not to build Build and deployment automation: containerization, GitOps, fast and boring releases Application-layer infrastructure as code, extending our existing GitOps and deployment patterns rather than working around them The code quality and security standards that keep all of the above safe to move quickly in How we build We're deliberately polyglot: several languages in production, more than one kind of data store, containerized workloads, GitOps delivery, infrastructure as code. We aren't listing the specifics, on purpose. They change, and we'd rather hear how you choose tools than check whether you've used ours. What matters is that you've worked across enough languages and runtimes to know the language is rarely the hard part, and that you reach for the right tool for the problem t comfortable in. How we work with AI We use agentic AI development tools daily, and we've done the unglamorous part. Agent instructions, coding standards, and architecture decision records live alongside the code, so the tools produce work that fits our conventions instead of fighting them. We'd want you to extend that practice, not invent one from scratch. We're also clear-eyed about it. These tools make it easy to produce something that demos well and falls apart in six months, and we've watched it happen elsewhere. The conventions exist to prevent that. We'd rather you use them heavily and understand exactly what you shipped than either avoid them or trust them blindly. If you have opinions about where they genuinely help and where they quietly create problems, we want to hear them. What we're looking for We're not listing a number of years. What matters is what you've actually done: You've architected, shipped, and operated production systems, including being the one paged when they broke You've decided what to build, not only how, on at least one system that mattered You've learned a business process deeply enough to build something different from what was requested, and you were right You can weigh trade-offs and constraints on your own and defend the call afterward You've picked up someone else's deployment and infrastructure conventions and extended them, rather than routing around them or building a parallel path of your own You've made a UX call that shipped, turned out wrong, and fixed it You've shipped production work in more than one language and runtime, and can say why each was the right choice at the time You're comfortable across relational and non-relational data modeling, API design, and modern web architecture If you can speak to those from experience, the number on your résumé isn't interesting to us.
11/13/2026
Full time
Job Description Job Description The short version You'd build new applications for a company that makes real things, with direct access to the people who need them, and you'd make the product and design calls yourself. You'd do it alongside a small team of engineers who are very good at this. The hard integration layer, ERP, warehouse management, and the existing service fleet are already covered. You own what gets built on top. About the role Three things make this different from most "full stack" postings, plus one that will rule it out for some people: It's greenfield. You'd be building business tools from a clean slate. Modern stack, decisions still open. You are not inheriting a decade of someone else's shortcuts. You'd have strong peers, not a vacuum. An SRE owns our delivery platform and GitOps practice. Another engineer owns the integration layer between our core business systems and everything else, along with the data pipelines feeding it. Both are excellent at what they do and aren't going anywhere. You'd own the applications built on top. You would have genuine ownership, and real peers worth arguing with when a decision is genuinely hard. One expectation worth stating plainly: we want developers who extend those patterns, not just consume them. You don't have to own the platform, but you should be able to read it, add to it, and be trusted to do so. This is a small team. Your work is visible and your judgment carries, and there's also nowhere to hide. You'd learn the business, not just take orders from it. Requirements come from the department heads who need the software: purchasing, nutrition, operations, sales. They don't get filtered through a product organization, and they won't be. We don't have project managers and aren't planning to hire any. This is the part of the job we care about most, so it's worth being direct about it. The people asking will describe what they think they need. The work is to absorb their process well enough to understand what they actually need, which is frequently different and occasionally the opposite. We have seen that change the course of a project, more than once. An application built from the first description tends to work for a quarter and then quietly stop fitting. Plenty of capable developers can't do this, or don't want to. That's a legitimate preference and this is the wrong job for it. The trade: no product manager to turn a vague request into a spec, no designer to hand you a comp, and light management. Nobody will assign you tickets or check your progress daily. If you build your own structure, that's freedom. If you need someone else to build it for you, this will go badly for both of us. What you'll own Architecture, API design, and user experience for the applications you build Turning business requirements into roadmaps and shipped code, including deciding what not to build Build and deployment automation: containerization, GitOps, fast and boring releases Application-layer infrastructure as code, extending our existing GitOps and deployment patterns rather than working around them The code quality and security standards that keep all of the above safe to move quickly in How we build We're deliberately polyglot: several languages in production, more than one kind of data store, containerized workloads, GitOps delivery, infrastructure as code. We aren't listing the specifics, on purpose. They change, and we'd rather hear how you choose tools than check whether you've used ours. What matters is that you've worked across enough languages and runtimes to know the language is rarely the hard part, and that you reach for the right tool for the problem t comfortable in. How we work with AI We use agentic AI development tools daily, and we've done the unglamorous part. Agent instructions, coding standards, and architecture decision records live alongside the code, so the tools produce work that fits our conventions instead of fighting them. We'd want you to extend that practice, not invent one from scratch. We're also clear-eyed about it. These tools make it easy to produce something that demos well and falls apart in six months, and we've watched it happen elsewhere. The conventions exist to prevent that. We'd rather you use them heavily and understand exactly what you shipped than either avoid them or trust them blindly. If you have opinions about where they genuinely help and where they quietly create problems, we want to hear them. What we're looking for We're not listing a number of years. What matters is what you've actually done: You've architected, shipped, and operated production systems, including being the one paged when they broke You've decided what to build, not only how, on at least one system that mattered You've learned a business process deeply enough to build something different from what was requested, and you were right You can weigh trade-offs and constraints on your own and defend the call afterward You've picked up someone else's deployment and infrastructure conventions and extended them, rather than routing around them or building a parallel path of your own You've made a UX call that shipped, turned out wrong, and fixed it You've shipped production work in more than one language and runtime, and can say why each was the right choice at the time You're comfortable across relational and non-relational data modeling, API design, and modern web architecture If you can speak to those from experience, the number on your résumé isn't interesting to us.
Job Description Job Description Marathon TS is actively seeking a Software Automation Test Lead with API emphasis to join our team and support development efforts for the Drug Enforcement Administration (DEA). Work Location : Arlington, VA or Merrifield, VA. Clearance: Active Secret clearance Responsibilities: The selected candidate must be knowledgeable and experienced as a Software Automation Test Lead. Core responsibilities include: Managing a team of five (5) or more Testers. Evaluating industry standard test tools and making recommendations based on industry best practices. Creating, maintaining, and evaluating software automation test scripts. Establish test strategies to ensure features meet acceptance criteria. Creating and executing manual and automated test cases to ensure functional coverage for assigned features. Gathering and validating application functional, performance, and load requirements. Identifying and logging defects with clear reproduction steps and validating fixes. Working closely with developers and Requirements Analyst peers to clarify requirements and improve test coverage. Participating in Agile ceremonies, such as sprint planning and retrospectives, to provide insights from a testing perspective. Managing test data, including the creation of data via API calls for testing. Creating test reports and maintaining all test documentation. Education and Experience: Bachelor's degree in Computer Science, Engineering, or a related field (15 years of demonstrated experience may be substituted). 15 years of general experience, including ten years of specialized and/or hands-on experience in automated testing. Required Skills: Successfully demonstrated experience with 2-3 object-oriented programming languages, with Java preferred and some Groovy experience. Hands-on experience with developing, executing, and maintaining automated test scripts. Experience with automated testing IDEs such as IntelliJ. Experience with API testing tools such as Katalon, Postman, SoapUI, or ReadyAPI. Operating system management experience with Windows Server 2012/2016. Experience with commercial defect management systems such as JIRA. Experience working within an Agile Development Environment. Excellent analytical, problem-solving, and communication skills. Basic understanding of program interfaces, services, databases, messaging, and file systems. The successful candidate is subject to a background investigation by the government and must be able to meet the requirements to hold a position of Secret Clearance. Desired Skills: Experience with a CI/CD tool such as GitHub, GitLab, Jenkins, or CircleCI. Experience with web UI automation frameworks such as Selenium, Cypress, or equivalent. Scripting proficiency in Groovy, Cygwin, Bash, Perl, or Python. Engages in self-learning and stays updated with industry trends. Experience using production RESTful interfaces. Experience with SQL Server Reporting Services (SSRS). Experience with source control management software, such as Git, Tortoise SVN/Subversion, or BitBucket. Working knowledge of Microsoft Edge, Mozilla Firefox, and Google Chrome Experience with mobile application testing and associated automation frameworks (e.g., Appium, XCUITest, Espresso). Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status ").
11/12/2026
Full time
Job Description Job Description Marathon TS is actively seeking a Software Automation Test Lead with API emphasis to join our team and support development efforts for the Drug Enforcement Administration (DEA). Work Location : Arlington, VA or Merrifield, VA. Clearance: Active Secret clearance Responsibilities: The selected candidate must be knowledgeable and experienced as a Software Automation Test Lead. Core responsibilities include: Managing a team of five (5) or more Testers. Evaluating industry standard test tools and making recommendations based on industry best practices. Creating, maintaining, and evaluating software automation test scripts. Establish test strategies to ensure features meet acceptance criteria. Creating and executing manual and automated test cases to ensure functional coverage for assigned features. Gathering and validating application functional, performance, and load requirements. Identifying and logging defects with clear reproduction steps and validating fixes. Working closely with developers and Requirements Analyst peers to clarify requirements and improve test coverage. Participating in Agile ceremonies, such as sprint planning and retrospectives, to provide insights from a testing perspective. Managing test data, including the creation of data via API calls for testing. Creating test reports and maintaining all test documentation. Education and Experience: Bachelor's degree in Computer Science, Engineering, or a related field (15 years of demonstrated experience may be substituted). 15 years of general experience, including ten years of specialized and/or hands-on experience in automated testing. Required Skills: Successfully demonstrated experience with 2-3 object-oriented programming languages, with Java preferred and some Groovy experience. Hands-on experience with developing, executing, and maintaining automated test scripts. Experience with automated testing IDEs such as IntelliJ. Experience with API testing tools such as Katalon, Postman, SoapUI, or ReadyAPI. Operating system management experience with Windows Server 2012/2016. Experience with commercial defect management systems such as JIRA. Experience working within an Agile Development Environment. Excellent analytical, problem-solving, and communication skills. Basic understanding of program interfaces, services, databases, messaging, and file systems. The successful candidate is subject to a background investigation by the government and must be able to meet the requirements to hold a position of Secret Clearance. Desired Skills: Experience with a CI/CD tool such as GitHub, GitLab, Jenkins, or CircleCI. Experience with web UI automation frameworks such as Selenium, Cypress, or equivalent. Scripting proficiency in Groovy, Cygwin, Bash, Perl, or Python. Engages in self-learning and stays updated with industry trends. Experience using production RESTful interfaces. Experience with SQL Server Reporting Services (SSRS). Experience with source control management software, such as Git, Tortoise SVN/Subversion, or BitBucket. Working knowledge of Microsoft Edge, Mozilla Firefox, and Google Chrome Experience with mobile application testing and associated automation frameworks (e.g., Appium, XCUITest, Espresso). Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status ").
Job Description Job Description Job Title: Sr. Java Full Stack Developer Location: Pittsburgh, Pennsylvania Type: Contract To Hire Responsibilities: Design, develop, and maintain Java API services, including RESTful APIs and microservices, ensuring scalability, security, and high performance. Work with front-end UI development using Angular, HTML, and CSS to create engaging, user-friendly interfaces. Implement and optimize API standards and services, collaborating with cross-functional teams to build large-scale features. Develop, test, and deploy backend components using Spring Boot, microservices, and containerization technologies such as OpenShift and Kubernetes. Integrate Java-based applications with databases like Oracle, SQL Server, MongoDB, and messaging systems such as Apache Kafka. Utilize DevOps tools including Jenkins, uDeploy, GitHub, and CI/CD pipelines to automate workflows and ensure continuous delivery. Review design documents, create technical systems designs, and translate requirements into functional solutions. Collaborate with internal and external stakeholders, including API developers, business analysts, and QA teams, within an Agile environment. Research and apply modern libraries and technologies to expedite development and improve application security. Requirements: At least 6+ years of Java API development experience with REST API, Spring Boot, XML, JSON, Swagger. Minimum 6+ years of experience developing and consuming SOAP and REST web services in production environments. 5+ years of front-end UI development experience using Angular, HTML, and CSS. Hands-on experience with OpenShift, containerization, Kubernetes, and microservices architecture. 3+ years working with GitHub, Jenkins, and CI/CD pipelines. Proficiency with client-side technologies like Node JS and Angular 8+. Experience with Kafka, MongoDB, and integrating Java applications with Oracle/SQL Server databases. Strong understanding of security best practices to prevent vulnerabilities in coding. Excellent collaboration, communication, and interpersonal skills in an Agile team environment. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/12/2026
Full time
Job Description Job Description Job Title: Sr. Java Full Stack Developer Location: Pittsburgh, Pennsylvania Type: Contract To Hire Responsibilities: Design, develop, and maintain Java API services, including RESTful APIs and microservices, ensuring scalability, security, and high performance. Work with front-end UI development using Angular, HTML, and CSS to create engaging, user-friendly interfaces. Implement and optimize API standards and services, collaborating with cross-functional teams to build large-scale features. Develop, test, and deploy backend components using Spring Boot, microservices, and containerization technologies such as OpenShift and Kubernetes. Integrate Java-based applications with databases like Oracle, SQL Server, MongoDB, and messaging systems such as Apache Kafka. Utilize DevOps tools including Jenkins, uDeploy, GitHub, and CI/CD pipelines to automate workflows and ensure continuous delivery. Review design documents, create technical systems designs, and translate requirements into functional solutions. Collaborate with internal and external stakeholders, including API developers, business analysts, and QA teams, within an Agile environment. Research and apply modern libraries and technologies to expedite development and improve application security. Requirements: At least 6+ years of Java API development experience with REST API, Spring Boot, XML, JSON, Swagger. Minimum 6+ years of experience developing and consuming SOAP and REST web services in production environments. 5+ years of front-end UI development experience using Angular, HTML, and CSS. Hands-on experience with OpenShift, containerization, Kubernetes, and microservices architecture. 3+ years working with GitHub, Jenkins, and CI/CD pipelines. Proficiency with client-side technologies like Node JS and Angular 8+. Experience with Kafka, MongoDB, and integrating Java applications with Oracle/SQL Server databases. Strong understanding of security best practices to prevent vulnerabilities in coding. Excellent collaboration, communication, and interpersonal skills in an Agile team environment. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description SciTec, a Firefly Aerospace Company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice : SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. SciTec has an immediate opportunity for a talented software engineer to support our programs delivering Next-Generation Missile Warning software. This is a unique opportunity to join a small business that provides core capabilities for National Security and Defense. Our teams focus on image analysis, low-latency data processing, detection, and tracking algorithms for exploitation of remote sensing systems. The ideal candidate will be well-rounded C++ developer, work well as part of a rapid pace, collaborative, small-team environment, and be able to prototype, develop, integrate, and test advanced software solutions into Government frameworks. Responsibilities Implement new algorithms for remote sensor data exploitation Optimize existing high-throughput algorithms surrounding our image analysis, detection, and tracking efforts Demonstrate fluent, idiomatic mastery of C++; comfortable with software design and architecture Work as part of an Agile team and contribute to shared tools Other duties as assigned Requirements A Bachelor's degree in the physical sciences, mathematics, engineering, or computer science. Additional year of education may be substituted for years of professional experience. At least five years of professional experience and fluency in C++ At least three years of professional experience using Linux operating systems Knowledge of Data Structures Optimization skills for high-data-throughput processing Detail oriented Good verbal and written communication skills Ability to work full-time in-person in Boulder, CO office location Ability to obtain and maintain a DoD security clearance Candidates who have any of the following skills will be preferred Experience with GPU programming Strong understanding and experience with modern object-oriented design, inheritance patterns, and SOLID principles Experience implementing features of C++ 17, 20 or 23 standards Experience with the exploitation and analysis of OPIR, E/O, SAR, Spectral, RF, or other remotely sensed data An advanced degree in the physical sciences, mathematics, engineering, or computer science Fluency in one or more of the following languages: Matlab, Rust, Python Professional experience with Agile software development A current active DoD SECRET security clearance or higher Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $102,000- $157,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.
11/12/2026
Full time
Job Description Job Description SciTec, a Firefly Aerospace Company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice : SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. SciTec has an immediate opportunity for a talented software engineer to support our programs delivering Next-Generation Missile Warning software. This is a unique opportunity to join a small business that provides core capabilities for National Security and Defense. Our teams focus on image analysis, low-latency data processing, detection, and tracking algorithms for exploitation of remote sensing systems. The ideal candidate will be well-rounded C++ developer, work well as part of a rapid pace, collaborative, small-team environment, and be able to prototype, develop, integrate, and test advanced software solutions into Government frameworks. Responsibilities Implement new algorithms for remote sensor data exploitation Optimize existing high-throughput algorithms surrounding our image analysis, detection, and tracking efforts Demonstrate fluent, idiomatic mastery of C++; comfortable with software design and architecture Work as part of an Agile team and contribute to shared tools Other duties as assigned Requirements A Bachelor's degree in the physical sciences, mathematics, engineering, or computer science. Additional year of education may be substituted for years of professional experience. At least five years of professional experience and fluency in C++ At least three years of professional experience using Linux operating systems Knowledge of Data Structures Optimization skills for high-data-throughput processing Detail oriented Good verbal and written communication skills Ability to work full-time in-person in Boulder, CO office location Ability to obtain and maintain a DoD security clearance Candidates who have any of the following skills will be preferred Experience with GPU programming Strong understanding and experience with modern object-oriented design, inheritance patterns, and SOLID principles Experience implementing features of C++ 17, 20 or 23 standards Experience with the exploitation and analysis of OPIR, E/O, SAR, Spectral, RF, or other remotely sensed data An advanced degree in the physical sciences, mathematics, engineering, or computer science Fluency in one or more of the following languages: Matlab, Rust, Python Professional experience with Agile software development A current active DoD SECRET security clearance or higher Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $102,000- $157,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.
Job Description Job Description Description: Hybrid 4 onsite / 1 work from home in Greenwood Village, CO Data driven decision-making is a core tenant of our client, and this agentic AI development team enables this process. This team oversees an internally developed Generative AI enablement platform that enables employees to leverage AI capabilities to enhance productivity. This role will focus on building full stack services and managing data exchange between the server and user-facing applications. Responsibilities include development of back-end logic, definition and maintenance of the database, and maintaining performance, quality, and responsiveness. You will work closely with front-end developers to implement their components into the application. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $70.00 to $77.00/hr. w2 JN -88 Responsibilities: Design, develop, and maintain software solutions using Python, Node.js, and its ecosystem. Collaborate in a microservices architecture to enhance and build reliable REST components. Implement and maintain databases including Postgres and Postgres Vector DB. Develop and integrate automated unit tests and utilize testing platforms. Work extensively within AWS to leverage services for optimized application performance. Utilize Git for version control in a collaborative team setting. Participate in all phases of agile development methodologies. Analyze complex software issues and implement effective solutions. Communicate clearly and effectively with team members and stakeholders. Experience Requirements: Deep understanding of Node.js, including packages and ecosystem. Proficiency in Python and TypeScript. Strong knowledge of RESTful API development and microservices architecture. Familiarity with automated unit testing and testing platforms. Experience with OpenAI integrations and agent frameworks such as LangChain, LangGraph, MCP Protocol familiarity, AWS Agent Core, and ADKs. Extensive experience with AWS services. Thorough understanding of Git. Proven experience with agile methodologies. Excellent written and verbal communication skills. Strong analytical and troubleshooting skills. Education Requirements: Bachelor's degree in Computer Science, Engineering, or related field. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
11/12/2026
Full time
Job Description Job Description Description: Hybrid 4 onsite / 1 work from home in Greenwood Village, CO Data driven decision-making is a core tenant of our client, and this agentic AI development team enables this process. This team oversees an internally developed Generative AI enablement platform that enables employees to leverage AI capabilities to enhance productivity. This role will focus on building full stack services and managing data exchange between the server and user-facing applications. Responsibilities include development of back-end logic, definition and maintenance of the database, and maintaining performance, quality, and responsiveness. You will work closely with front-end developers to implement their components into the application. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $70.00 to $77.00/hr. w2 JN -88 Responsibilities: Design, develop, and maintain software solutions using Python, Node.js, and its ecosystem. Collaborate in a microservices architecture to enhance and build reliable REST components. Implement and maintain databases including Postgres and Postgres Vector DB. Develop and integrate automated unit tests and utilize testing platforms. Work extensively within AWS to leverage services for optimized application performance. Utilize Git for version control in a collaborative team setting. Participate in all phases of agile development methodologies. Analyze complex software issues and implement effective solutions. Communicate clearly and effectively with team members and stakeholders. Experience Requirements: Deep understanding of Node.js, including packages and ecosystem. Proficiency in Python and TypeScript. Strong knowledge of RESTful API development and microservices architecture. Familiarity with automated unit testing and testing platforms. Experience with OpenAI integrations and agent frameworks such as LangChain, LangGraph, MCP Protocol familiarity, AWS Agent Core, and ADKs. Extensive experience with AWS services. Thorough understanding of Git. Proven experience with agile methodologies. Excellent written and verbal communication skills. Strong analytical and troubleshooting skills. Education Requirements: Bachelor's degree in Computer Science, Engineering, or related field. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Date Posted: 2026-07-27 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. This position is within the Effectors Center of the HWIL organization, and is an onsite role located in Tucson, AZ What You Will Do Collaborate in a multi-disciplinary team to develop software to control Hardware-In-the-Loop (HWIL) facilities (flight simulators for missiles). Determines end user needs by analyzing system capabilities to resolve problems on program intent, output requirements and input data acquisition. Ensures hardware and software standards are met. Design and implement build procedures that are used to support hardware and software product development and use. Software design, coding and integration in a real-time environment. May train software developers in the use of configuration management tools and the implementation of software quality standards. Includes control modeling (model based design) Qualifications You Must Have Typically requires a Bachelor's degree in Computer Science, Engineering or other STEM related field and a minimum of 5 years of relevant experience. Experience with software development in C++, using the object-oriented features. Experience including at least two of the following: Embedded Software, Embedded Software Security, Embedded Operating Systems (Linux, RTOS, VxWorks, etc), Software Architecture Design and Implementation. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Experience with electronics design and/or conducting data analysis using tools such as Matlab. Experience troubleshooting systems using test equipment such as oscilloscopes, logic analyzers, network analyzers, and/or spectrum analyzers. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Agile and Scrum team member experience Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/12/2026
Full time
Date Posted: 2026-07-27 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. This position is within the Effectors Center of the HWIL organization, and is an onsite role located in Tucson, AZ What You Will Do Collaborate in a multi-disciplinary team to develop software to control Hardware-In-the-Loop (HWIL) facilities (flight simulators for missiles). Determines end user needs by analyzing system capabilities to resolve problems on program intent, output requirements and input data acquisition. Ensures hardware and software standards are met. Design and implement build procedures that are used to support hardware and software product development and use. Software design, coding and integration in a real-time environment. May train software developers in the use of configuration management tools and the implementation of software quality standards. Includes control modeling (model based design) Qualifications You Must Have Typically requires a Bachelor's degree in Computer Science, Engineering or other STEM related field and a minimum of 5 years of relevant experience. Experience with software development in C++, using the object-oriented features. Experience including at least two of the following: Embedded Software, Embedded Software Security, Embedded Operating Systems (Linux, RTOS, VxWorks, etc), Software Architecture Design and Implementation. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Experience with electronics design and/or conducting data analysis using tools such as Matlab. Experience troubleshooting systems using test equipment such as oscilloscopes, logic analyzers, network analyzers, and/or spectrum analyzers. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Agile and Scrum team member experience Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Job Description Job Title: Developer Platform/Product Location: Toyota US MI Saline Years of Experience: 7 10 Years Job Summary: We are seeking a highly skilled Developer Platform/Product with a strong background in Pega Customer Service Development. The ideal candidate will have 7 10 years of experience in software development, with a focus on delivering high quality solutions that enhance customer service capabilities. This role requires a deep understanding of Pega systems and a passion for leveraging technology to improve customer interactions. Responsibilities: Design, develop, and implement Pega Customer Service applications to meet business requirements. Collaborate with cross functional teams to gather and analyze requirements, ensuring alignment with business objectives. Conduct code reviews and provide mentorship to junior developers, fostering a culture of continuous improvement. Optimize existing Pega applications for performance and scalability. Participate in the full software development lifecycle, from requirements gathering to deployment and support. Stay updated with the latest Pega technologies and best practices, applying them to enhance product offerings. Document technical specifications and maintain comprehensive project documentation. Provide technical support and troubleshooting for Pega applications, ensuring minimal downtime and disruption. Mandatory Skills: Strong expertise in Pega Customer Service Development. Proficient in Pega PRPC (Pega Rules Process Commander) and related frameworks. Experience with Pega Customer Service modules and functionalities. Solid understanding of software development methodologies, including Agile and Waterfall. Strong problem solving skills and the ability to work under pressure. Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment. Preferred Skills: Experience with integration of Pega applications with other enterprise systems. Knowledge of Java, SQL, and web technologies (HTML, CSS, JavaScript). Familiarity with cloud based solutions and deployment strategies. Certifications in Pega development or related fields. Experience in customer service or support environments. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. 7 10 years of experience in software development, with a focus on Pega Customer Service. Proven track record of successful project delivery and customer satisfaction. Ability to adapt to changing priorities and manage multiple tasks simultaneously. If you are a motivated and experienced Developer with a passion for Pega Customer Service, we encourage you to apply and join our dynamic team at Toyota in Saline, MI.
11/12/2026
Full time
Job Description Job Description Job Title: Developer Platform/Product Location: Toyota US MI Saline Years of Experience: 7 10 Years Job Summary: We are seeking a highly skilled Developer Platform/Product with a strong background in Pega Customer Service Development. The ideal candidate will have 7 10 years of experience in software development, with a focus on delivering high quality solutions that enhance customer service capabilities. This role requires a deep understanding of Pega systems and a passion for leveraging technology to improve customer interactions. Responsibilities: Design, develop, and implement Pega Customer Service applications to meet business requirements. Collaborate with cross functional teams to gather and analyze requirements, ensuring alignment with business objectives. Conduct code reviews and provide mentorship to junior developers, fostering a culture of continuous improvement. Optimize existing Pega applications for performance and scalability. Participate in the full software development lifecycle, from requirements gathering to deployment and support. Stay updated with the latest Pega technologies and best practices, applying them to enhance product offerings. Document technical specifications and maintain comprehensive project documentation. Provide technical support and troubleshooting for Pega applications, ensuring minimal downtime and disruption. Mandatory Skills: Strong expertise in Pega Customer Service Development. Proficient in Pega PRPC (Pega Rules Process Commander) and related frameworks. Experience with Pega Customer Service modules and functionalities. Solid understanding of software development methodologies, including Agile and Waterfall. Strong problem solving skills and the ability to work under pressure. Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment. Preferred Skills: Experience with integration of Pega applications with other enterprise systems. Knowledge of Java, SQL, and web technologies (HTML, CSS, JavaScript). Familiarity with cloud based solutions and deployment strategies. Certifications in Pega development or related fields. Experience in customer service or support environments. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. 7 10 years of experience in software development, with a focus on Pega Customer Service. Proven track record of successful project delivery and customer satisfaction. Ability to adapt to changing priorities and manage multiple tasks simultaneously. If you are a motivated and experienced Developer with a passion for Pega Customer Service, we encourage you to apply and join our dynamic team at Toyota in Saline, MI.
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom Primary Function This position is a unique opportunity to serve as a hands-on BI & Analytics solutions architect and subject matter expert responsible for designing, delivering and modernizing enterprise analytics solutions across SAP and non-SAP platforms, cloud data platforms, and modern analytics ecosystems. The role will partner closely with business stakeholders and technology teams to understand business needs, define scalable solutions, lead solution delivery, and drive measurable business outcomes. This individual will be fully engaged beyond technology, gaining a deep understanding of critical business processes, managing project deliverables, and collaborating across cross-functional teams to deliver innovative and value-driven analytics solutions Responsibilities Develop a deep understanding of A. O. Smith business processes and strategy through collaboration and regular engagement with key stakeholders and process owners Support the identification and implementation of process improvement opportunities, using analytics that support organizational strategy and priorities Engage and lead high visibility Analytics projects across all BI functional areas from start to finish by Meeting with stakeholders to understand the work, collaboratively develop project charters and A3s, create, manage timelines, gather, and validate requirements; and define business value Developing functional and technical specifications that translate complex requirements into robust designs Design and develop scalable enterprise analytics solutions utilizing SAP BW/4HANA, SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS (S3, Athena, Iceberg, Glue), Tableau, Power BI, and Data Lakehouse architectures while applying Data as a Product, Hub-and-Spoke, and Data Mesh modeling principles. Design and develop scalable ELT/ETL pipelines utilizing AWS Glue, SAP Data Services (BODS), SAP SDI, SQL, Python, and cloud-native integration services. Design governed semantic models and reusable business data layers that enable self-service analytics, natural language querying, and consistent KPI definitions across reporting platforms. Develop and execute analytics modernization roadmaps supporting the transition from SAP BW on HANA to SAP Business Data Cloud (BDC), SAP Datasphere, AWS Data Lakehouse, and modern self-service analytics platforms. Design and enable AI-ready data architectures that support Large Language Models (LLMs), Retrieval Augmented Generation (RAG), semantic search, and conversational analytics capabilities. Develop and maintain solution validation, technical and functional documentation, and ensure that change management and approval processes are completed Measure actual business value realized, and conduct lessons learned Interface SAP BW with SAP and third-party analytics tools to improve usability and process efficiency Advise on development and testing proposals amongst team members across the full analytics stack Collaborate with other functional architects and business analysts to ensure end-to-end analytic needs are met Understand non-SAP business systems and support business analysts as needed Support a data driven decision culture, Analytics Road maps and Audit requests Mentor team members and functional analysts on best practices Monitor Analytics trends and best practices and identify optimization opportunities Cloud & AI Modernization Design and implement modern cloud-based analytics architectures leveraging SAP Business Data Cloud (BDC), SAP Datasphere, AWS services (Amazon S3, Athena, Glue, Iceberg), Snowflake, and Data Lakehouse patterns. Drive Data as a Product strategy by developing scalable, governed, and reusable data products that support enterprise analytics and self-service reporting. Evaluate and implement AI-powered analytics capabilities, including natural language querying, Copilot-enabled analytics, semantic models, and advanced decision-support solutions. Collaborate with business stakeholders to identify opportunities for generative AI, machine learning, and predictive analytics to improve operational efficiency and business outcomes. Qualifications Bachelor's degree in computer science, Information Systems, Mathematics, or a related field. 8+ years of experience designing and delivering enterprise analytics solutions utilizing SAP BW/4HANA and modern cloud-based analytics platforms such as SAP Business Data Cloud (BDC), SAP Datasphere, AWS, Snowflake, or equivalent cloud analytics technologies. 5+ years of experience developing enterprise reporting and analytics solutions using Business Objects, Analysis for Office, Tableau, Power BI, SAP Analytics Cloud (SAC), SSRS, or equivalent platforms. Experience leading requirements-gathering workshops, developing functional and technical specifications, defining business value, and translating complex business needs into scalable analytics solutions. Working knowledge of SAP BW/4HANA, SAP data extraction frameworks, CDS Views, SAP security concepts, SAP integration technologies, testing, data migration, cutover, user training, and hyper-care support. Experience with SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS Lakehouse architecture, or equivalent modern data platform technologies. Experience designing cloud-based data platforms and Lakehouse architecture utilizing AWS services, Snowflake, SQL, Athena, Apache Iceberg, and related analytics technologies. Experience designing governed semantic models, reusable business data layers, Data as a Product architecture, and self-service analytics solutions. Experience designing and implementing AI-enabled analytics solutions utilizing Natural Language Query (NLQ), Microsoft Copilot, Generative AI, semantic search, and conversational analytics capabilities. Experience defining, governing, and managing enterprise data products with measurable business value and adoption metrics. Experience implementing enterprise data governance, metadata management, data cataloging, business glossaries, lineage tracking, security, and compliance best practices across SAP and non-SAP analytics platforms. Strong functional knowledge of Sales, Distribution, Supply Chain, Procurement, Manufacturing, Logistics, Finance, and other enterprise business processes, including their associated data models, KPIs, reporting requirements, and ERP system integrations. Ability to troubleshoot system issues, complete complex reconciliations, and coordinate with process experts to resolve integrated business and data issues. Proven ability to mentor senior, intermediate, and junior developers and analysts. Strong relationship-building skills and the ability to communicate complex information effectively to technical and non-technical stakeholders across all levels of the organization. We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
11/10/2026
Full time
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom Primary Function This position is a unique opportunity to serve as a hands-on BI & Analytics solutions architect and subject matter expert responsible for designing, delivering and modernizing enterprise analytics solutions across SAP and non-SAP platforms, cloud data platforms, and modern analytics ecosystems. The role will partner closely with business stakeholders and technology teams to understand business needs, define scalable solutions, lead solution delivery, and drive measurable business outcomes. This individual will be fully engaged beyond technology, gaining a deep understanding of critical business processes, managing project deliverables, and collaborating across cross-functional teams to deliver innovative and value-driven analytics solutions Responsibilities Develop a deep understanding of A. O. Smith business processes and strategy through collaboration and regular engagement with key stakeholders and process owners Support the identification and implementation of process improvement opportunities, using analytics that support organizational strategy and priorities Engage and lead high visibility Analytics projects across all BI functional areas from start to finish by Meeting with stakeholders to understand the work, collaboratively develop project charters and A3s, create, manage timelines, gather, and validate requirements; and define business value Developing functional and technical specifications that translate complex requirements into robust designs Design and develop scalable enterprise analytics solutions utilizing SAP BW/4HANA, SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS (S3, Athena, Iceberg, Glue), Tableau, Power BI, and Data Lakehouse architectures while applying Data as a Product, Hub-and-Spoke, and Data Mesh modeling principles. Design and develop scalable ELT/ETL pipelines utilizing AWS Glue, SAP Data Services (BODS), SAP SDI, SQL, Python, and cloud-native integration services. Design governed semantic models and reusable business data layers that enable self-service analytics, natural language querying, and consistent KPI definitions across reporting platforms. Develop and execute analytics modernization roadmaps supporting the transition from SAP BW on HANA to SAP Business Data Cloud (BDC), SAP Datasphere, AWS Data Lakehouse, and modern self-service analytics platforms. Design and enable AI-ready data architectures that support Large Language Models (LLMs), Retrieval Augmented Generation (RAG), semantic search, and conversational analytics capabilities. Develop and maintain solution validation, technical and functional documentation, and ensure that change management and approval processes are completed Measure actual business value realized, and conduct lessons learned Interface SAP BW with SAP and third-party analytics tools to improve usability and process efficiency Advise on development and testing proposals amongst team members across the full analytics stack Collaborate with other functional architects and business analysts to ensure end-to-end analytic needs are met Understand non-SAP business systems and support business analysts as needed Support a data driven decision culture, Analytics Road maps and Audit requests Mentor team members and functional analysts on best practices Monitor Analytics trends and best practices and identify optimization opportunities Cloud & AI Modernization Design and implement modern cloud-based analytics architectures leveraging SAP Business Data Cloud (BDC), SAP Datasphere, AWS services (Amazon S3, Athena, Glue, Iceberg), Snowflake, and Data Lakehouse patterns. Drive Data as a Product strategy by developing scalable, governed, and reusable data products that support enterprise analytics and self-service reporting. Evaluate and implement AI-powered analytics capabilities, including natural language querying, Copilot-enabled analytics, semantic models, and advanced decision-support solutions. Collaborate with business stakeholders to identify opportunities for generative AI, machine learning, and predictive analytics to improve operational efficiency and business outcomes. Qualifications Bachelor's degree in computer science, Information Systems, Mathematics, or a related field. 8+ years of experience designing and delivering enterprise analytics solutions utilizing SAP BW/4HANA and modern cloud-based analytics platforms such as SAP Business Data Cloud (BDC), SAP Datasphere, AWS, Snowflake, or equivalent cloud analytics technologies. 5+ years of experience developing enterprise reporting and analytics solutions using Business Objects, Analysis for Office, Tableau, Power BI, SAP Analytics Cloud (SAC), SSRS, or equivalent platforms. Experience leading requirements-gathering workshops, developing functional and technical specifications, defining business value, and translating complex business needs into scalable analytics solutions. Working knowledge of SAP BW/4HANA, SAP data extraction frameworks, CDS Views, SAP security concepts, SAP integration technologies, testing, data migration, cutover, user training, and hyper-care support. Experience with SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS Lakehouse architecture, or equivalent modern data platform technologies. Experience designing cloud-based data platforms and Lakehouse architecture utilizing AWS services, Snowflake, SQL, Athena, Apache Iceberg, and related analytics technologies. Experience designing governed semantic models, reusable business data layers, Data as a Product architecture, and self-service analytics solutions. Experience designing and implementing AI-enabled analytics solutions utilizing Natural Language Query (NLQ), Microsoft Copilot, Generative AI, semantic search, and conversational analytics capabilities. Experience defining, governing, and managing enterprise data products with measurable business value and adoption metrics. Experience implementing enterprise data governance, metadata management, data cataloging, business glossaries, lineage tracking, security, and compliance best practices across SAP and non-SAP analytics platforms. Strong functional knowledge of Sales, Distribution, Supply Chain, Procurement, Manufacturing, Logistics, Finance, and other enterprise business processes, including their associated data models, KPIs, reporting requirements, and ERP system integrations. Ability to troubleshoot system issues, complete complex reconciliations, and coordinate with process experts to resolve integrated business and data issues. Proven ability to mentor senior, intermediate, and junior developers and analysts. Strong relationship-building skills and the ability to communicate complex information effectively to technical and non-technical stakeholders across all levels of the organization. We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform Engineering, Cloud Security, and Artificial Intelligence initiatives. Acting as a hands-on technical architect and strategic trailblazer, you will partner with key stakeholders to identify opportunities, translate ideas into actionable solutions, and deliver value through rapid proofs of concept. This role focuses heavily on designing, building, and scaling our next-generation cloud-native AI platforms, AI-powered log intelligence (AIOps), and semantic developer tooling. Location: This is a hybrid position requiring a minimum of three days per week on-site at either our Lincolnshire, IL, or Holtsville, NY office. Essential Duties/Responsabilities: Identify and evaluate emerging innovation opportunities across Platform Engineering and Cloud Infrastructure functions, matching business needs with cutting-edge technology solutions. Conduct comprehensive business and systems analyses, translating complex technical findings into clear user stories, system requirements, and actionable solution concepts. Coordinate and execute Proof of Concepts (PoCs) and hands-on delivery activities to rapidly validate and advance cloud and platform innovation initiatives. Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning (ML), Robotic Process Automation (RPA), and Virtual Agents-providing strategic recommendations for corporate adoption. Act as the primary IT Cloud Innovation Liaison, driving cross-functional collaboration and alignment with other innovation and product teams across Zebra. Plan, coordinate, and facilitate structured ideation workshops, fostering a culture of collaborative brainstorming and innovative problem-solving. Serve as an active Innovation Evangelist within IT and the broader enterprise, promoting modern engineering methodologies and pushing the boundaries of cloud-native possibilities. Track, analyze, and report key performance indicators (KPIs), ensuring leadership has complete visibility into the progress, and business outcomes of all innovation initiatives. Establish and maintain a repeatable operating model for cloud-native AI/ML deployment, ensuring all initiatives consistently address pipeline architecture, performance metrics, and compliance guidelines across GCP and Azure. Lead and mentor a high-performing team of cloud and AI platform engineers, guiding their professional evolution toward predictive log analytics, automation (AIOps), and robust cloud data readiness. Translate complex AI governance, cloud security guardrails, and regulatory requirements into practical technical specifications, partnering directly with systems engineers to integrate PII masking and RBAC into automated CI/CD pipelines. Manage roadmap alignment within assigned technology portfolios. Minimum Qualifications: Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or related field. 5+ years experience working on an operations style team (NOC, SOC, MOC, etc.) and troubleshooting networking, service desk, operations center and/or supporting cloud based Infrastructure. Hands-on Google Gemini Enterprise Expertise: Demonstrated experience working with Google Gemini Enterprise, with a proven ability to build and deploy custom agents using the Agent Development Kit (ADK). Multi-Cloud & GenAI Platform Proficiency: Deep familiarity with leading cloud platforms and generative AI solution providers, including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic. Experience working in a global, heterogeneous, cloud and on-prem environment. Practical knowledge of, or deep technical curiosity to develop, hands-on solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and agentic AI patterns (including Model Context Protocol MCP , tool calling, and orchestration frameworks). Expertise in scripting or programming languages (e.g., Python) for automation or testing is a plus; software development background is welcomed. Proven track record of deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD pipelines, backed by verifiable metrics such as high availability, latency reduction, and infrastructure cost optimization. Comprehensive understanding of enterprise cloud security, application/API security, and fine-grained identity systems, with experience integrating PII masking and complex Role-Based Access Control (RBAC) frameworks. Strong software development background with advanced scripting capabilities in Python (or similar languages) to drive automation, infrastructure provisioning (IaC), and automated testing. Active professional-level cloud certifications are highly preferred, such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or AI Engineer Preferred Qualifications Some exposure to AI/ML systems, application security, or API security is a plus. Travel up to 10% Equal Opportunity Employer: Zebra 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 and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $96,800.00 - $145,200.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However . click apply for full job details
11/06/2026
Full time
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform Engineering, Cloud Security, and Artificial Intelligence initiatives. Acting as a hands-on technical architect and strategic trailblazer, you will partner with key stakeholders to identify opportunities, translate ideas into actionable solutions, and deliver value through rapid proofs of concept. This role focuses heavily on designing, building, and scaling our next-generation cloud-native AI platforms, AI-powered log intelligence (AIOps), and semantic developer tooling. Location: This is a hybrid position requiring a minimum of three days per week on-site at either our Lincolnshire, IL, or Holtsville, NY office. Essential Duties/Responsabilities: Identify and evaluate emerging innovation opportunities across Platform Engineering and Cloud Infrastructure functions, matching business needs with cutting-edge technology solutions. Conduct comprehensive business and systems analyses, translating complex technical findings into clear user stories, system requirements, and actionable solution concepts. Coordinate and execute Proof of Concepts (PoCs) and hands-on delivery activities to rapidly validate and advance cloud and platform innovation initiatives. Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning (ML), Robotic Process Automation (RPA), and Virtual Agents-providing strategic recommendations for corporate adoption. Act as the primary IT Cloud Innovation Liaison, driving cross-functional collaboration and alignment with other innovation and product teams across Zebra. Plan, coordinate, and facilitate structured ideation workshops, fostering a culture of collaborative brainstorming and innovative problem-solving. Serve as an active Innovation Evangelist within IT and the broader enterprise, promoting modern engineering methodologies and pushing the boundaries of cloud-native possibilities. Track, analyze, and report key performance indicators (KPIs), ensuring leadership has complete visibility into the progress, and business outcomes of all innovation initiatives. Establish and maintain a repeatable operating model for cloud-native AI/ML deployment, ensuring all initiatives consistently address pipeline architecture, performance metrics, and compliance guidelines across GCP and Azure. Lead and mentor a high-performing team of cloud and AI platform engineers, guiding their professional evolution toward predictive log analytics, automation (AIOps), and robust cloud data readiness. Translate complex AI governance, cloud security guardrails, and regulatory requirements into practical technical specifications, partnering directly with systems engineers to integrate PII masking and RBAC into automated CI/CD pipelines. Manage roadmap alignment within assigned technology portfolios. Minimum Qualifications: Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or related field. 5+ years experience working on an operations style team (NOC, SOC, MOC, etc.) and troubleshooting networking, service desk, operations center and/or supporting cloud based Infrastructure. Hands-on Google Gemini Enterprise Expertise: Demonstrated experience working with Google Gemini Enterprise, with a proven ability to build and deploy custom agents using the Agent Development Kit (ADK). Multi-Cloud & GenAI Platform Proficiency: Deep familiarity with leading cloud platforms and generative AI solution providers, including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic. Experience working in a global, heterogeneous, cloud and on-prem environment. Practical knowledge of, or deep technical curiosity to develop, hands-on solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and agentic AI patterns (including Model Context Protocol MCP , tool calling, and orchestration frameworks). Expertise in scripting or programming languages (e.g., Python) for automation or testing is a plus; software development background is welcomed. Proven track record of deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD pipelines, backed by verifiable metrics such as high availability, latency reduction, and infrastructure cost optimization. Comprehensive understanding of enterprise cloud security, application/API security, and fine-grained identity systems, with experience integrating PII masking and complex Role-Based Access Control (RBAC) frameworks. Strong software development background with advanced scripting capabilities in Python (or similar languages) to drive automation, infrastructure provisioning (IaC), and automated testing. Active professional-level cloud certifications are highly preferred, such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or AI Engineer Preferred Qualifications Some exposure to AI/ML systems, application security, or API security is a plus. Travel up to 10% Equal Opportunity Employer: Zebra 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 and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $96,800.00 - $145,200.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However . click apply for full job details
Job Description Job Description Position Summary As a Sr. Performance Engineer, you will be responsible for assessing and enhancing the performance, scalability, and site reliability of our software applications. You will design and execute performance tests, analyze performance metrics, and work closely with development and operations teams to optimize system performance. What is great about working for Foundation? Plenty! We have a fun, casual, yet hard-working culture that invests in our employees, promotes creativity, and delivers on our reputation. Would you like to work for a company that offers manicures and pedicures in the office? We do! How about massages, laundry service, monthly car washes, catered lunches Wednesdays and a monthly happy hour - we offer all this and more! Essential Functions & Responsibilities Performance Testing: design, develop, and execute performance tests to evaluate system performance, scalability, and reliability under various conditions Test Planning: collaborate with stakeholders to define performance testing requirements and objectives based on application and system specifications. Performance Analysis: analyze test results, identify performance bottlenecks, and provide actionable recommendations for improvement. Optimization: work with development and operations teams to optimize application performance, including tuning code, configurations, and infrastructure. Tool Management: utilize performance testing tools (e.g. JMeter, Azure Load Testing, Dynatrace, LoadRunner, Gatling) to create and execute performance tests. Evaluate and recommend tools and technologies to improve performance testing processes. Reporting: generate detailed performance reports and present findings to stakeholders. Provide insights into performance trends and areas for improvement. Collaboration: work closely with developers, QA teams, and system administrators to understand system architecture and integrate performance testing into the development and release cycles. Continuous Improvement: stay up to date on industry trends and best practices in performance testing and optimization. Contribute to the continuous improvement of performance testing strategies and processes; All other duties as assigned Required Skills and Experience Bachelor's degree in Computer Science, Engineering, or a related field 7+ years of experience in performance testing and engineering, with a proven track record of identifying and resolving performance issues in complex systems Proficiency with performance testing tools such as JMeter, Azure Load Testing, Dynatrace, LoadRunner, Gatling, or similar. Strong understanding of performance metrics (e.g., response time, throughput, latency) and how to interpret them. Experience with programming or scripting languages (e.g., Java, Python, C#) for test automation and performance scripting Knowledge of system architecture, including web servers, databases, and network infrastructure, and how they impact performance. Strong analytical skills to diagnose performance issues and provide data-driven recommendations. Ability to work effectively with cross-functional teams, including development, operations, and QA teams. Proficiency in generating and presenting performance test reports to various stakeholders. Familiarity with Agile methodologies and practices, and experience integrating performance testing into Agile sprints. Other employee rewards include tickets to Cleveland sporting events, a variety of lunch and learns, and various employee-appreciation events throughout the year. Benefits include paid vacation, paid holidays, 401(k) with match, and tuition reimbursement, plus medical, eye and dental. Now offering discounts on pet, home, and auto insurance through Liberty Mutual! Foundation is constantly recognized as one of Northeast Ohio's top workplaces. We are a 21-time winner of the NorthCoast 99 award, a multi-year winner of The Plain Dealer's Top Workplaces award, and have been recognized multiple years on the Inc. 5000 list of fastest-growing private companies in the U.S. Let us start your future at Foundation! Foundation Software is an Equal Opportunity Employer.
11/06/2026
Full time
Job Description Job Description Position Summary As a Sr. Performance Engineer, you will be responsible for assessing and enhancing the performance, scalability, and site reliability of our software applications. You will design and execute performance tests, analyze performance metrics, and work closely with development and operations teams to optimize system performance. What is great about working for Foundation? Plenty! We have a fun, casual, yet hard-working culture that invests in our employees, promotes creativity, and delivers on our reputation. Would you like to work for a company that offers manicures and pedicures in the office? We do! How about massages, laundry service, monthly car washes, catered lunches Wednesdays and a monthly happy hour - we offer all this and more! Essential Functions & Responsibilities Performance Testing: design, develop, and execute performance tests to evaluate system performance, scalability, and reliability under various conditions Test Planning: collaborate with stakeholders to define performance testing requirements and objectives based on application and system specifications. Performance Analysis: analyze test results, identify performance bottlenecks, and provide actionable recommendations for improvement. Optimization: work with development and operations teams to optimize application performance, including tuning code, configurations, and infrastructure. Tool Management: utilize performance testing tools (e.g. JMeter, Azure Load Testing, Dynatrace, LoadRunner, Gatling) to create and execute performance tests. Evaluate and recommend tools and technologies to improve performance testing processes. Reporting: generate detailed performance reports and present findings to stakeholders. Provide insights into performance trends and areas for improvement. Collaboration: work closely with developers, QA teams, and system administrators to understand system architecture and integrate performance testing into the development and release cycles. Continuous Improvement: stay up to date on industry trends and best practices in performance testing and optimization. Contribute to the continuous improvement of performance testing strategies and processes; All other duties as assigned Required Skills and Experience Bachelor's degree in Computer Science, Engineering, or a related field 7+ years of experience in performance testing and engineering, with a proven track record of identifying and resolving performance issues in complex systems Proficiency with performance testing tools such as JMeter, Azure Load Testing, Dynatrace, LoadRunner, Gatling, or similar. Strong understanding of performance metrics (e.g., response time, throughput, latency) and how to interpret them. Experience with programming or scripting languages (e.g., Java, Python, C#) for test automation and performance scripting Knowledge of system architecture, including web servers, databases, and network infrastructure, and how they impact performance. Strong analytical skills to diagnose performance issues and provide data-driven recommendations. Ability to work effectively with cross-functional teams, including development, operations, and QA teams. Proficiency in generating and presenting performance test reports to various stakeholders. Familiarity with Agile methodologies and practices, and experience integrating performance testing into Agile sprints. Other employee rewards include tickets to Cleveland sporting events, a variety of lunch and learns, and various employee-appreciation events throughout the year. Benefits include paid vacation, paid holidays, 401(k) with match, and tuition reimbursement, plus medical, eye and dental. Now offering discounts on pet, home, and auto insurance through Liberty Mutual! Foundation is constantly recognized as one of Northeast Ohio's top workplaces. We are a 21-time winner of the NorthCoast 99 award, a multi-year winner of The Plain Dealer's Top Workplaces award, and have been recognized multiple years on the Inc. 5000 list of fastest-growing private companies in the U.S. Let us start your future at Foundation! Foundation Software is an Equal Opportunity Employer.
