Capital One
Mc Lean, Virginia
Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One's consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles. Hyper Personalization org is building the intelligence and infrastructure that will enable Capital One to deliver truly individualized, real-time customer experiences at scale - turning every channel into a context-aware decisioning surface, from home feeds to marketing and servicing messages. The org's mission is to move Capital One to deliver always-on, cohort-of-one personalization, powered by resilient data foundations, production-grade ML and GenAI systems, and low-latency application platforms that make it easy for teams across the company to experiment, innovate, and serve the right experience to every customer at the right moment. What you'll do in the role: Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services. Partner cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation, targeting rules, and real-time decisioning while integrating seamlessly with ML-driven recommendations. Design, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, guardrails, model evaluation, deployment, and both real-time and batch inference - ensuring high performance, scalability, and reliability. Architect low-latency, event-driven systems for enabling real-time dynamic personalization and decisioning based on streaming data, user behavior, and contextual signals. Drive the evolution of MLOps practices by building automated metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring & observability. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: 8+ years of experience deploying scalable, responsible AI solutions on major cloud platforms (AWS, GCP, Azure); Master's or PhD in Computer Science or a relevant technical field. 5+ years of proven expertise in designing, implementing and scaling personalization platform and recommendation systems serving one or more areas of Feed Personalization/Ads Ranking/Targeted Marketing Messaging. 5+ years of strong proficiency in Python, Java, C++, or Golang; hands-on experience with ML frameworks (PyTorch, TensorFlow) and orchestration tools (Databricks, Airflow, Kubeflow). 5+ years of experience developing and applying state-of-the-art techniques for optimizing training and inference systems to improve hardware utilization, latency, throughput, and cost. 5+ years of deep expertise in cloud-native engineering, containerization (Docker, Kubernetes), and automated CI/CD deployment. Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer 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 . click apply for full job details
Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One's consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles. Hyper Personalization org is building the intelligence and infrastructure that will enable Capital One to deliver truly individualized, real-time customer experiences at scale - turning every channel into a context-aware decisioning surface, from home feeds to marketing and servicing messages. The org's mission is to move Capital One to deliver always-on, cohort-of-one personalization, powered by resilient data foundations, production-grade ML and GenAI systems, and low-latency application platforms that make it easy for teams across the company to experiment, innovate, and serve the right experience to every customer at the right moment. What you'll do in the role: Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services. Partner cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation, targeting rules, and real-time decisioning while integrating seamlessly with ML-driven recommendations. Design, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, guardrails, model evaluation, deployment, and both real-time and batch inference - ensuring high performance, scalability, and reliability. Architect low-latency, event-driven systems for enabling real-time dynamic personalization and decisioning based on streaming data, user behavior, and contextual signals. Drive the evolution of MLOps practices by building automated metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring & observability. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: 8+ years of experience deploying scalable, responsible AI solutions on major cloud platforms (AWS, GCP, Azure); Master's or PhD in Computer Science or a relevant technical field. 5+ years of proven expertise in designing, implementing and scaling personalization platform and recommendation systems serving one or more areas of Feed Personalization/Ads Ranking/Targeted Marketing Messaging. 5+ years of strong proficiency in Python, Java, C++, or Golang; hands-on experience with ML frameworks (PyTorch, TensorFlow) and orchestration tools (Databricks, Airflow, Kubeflow). 5+ years of experience developing and applying state-of-the-art techniques for optimizing training and inference systems to improve hardware utilization, latency, throughput, and cost. 5+ years of deep expertise in cloud-native engineering, containerization (Docker, Kubernetes), and automated CI/CD deployment. Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer 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 . click apply for full job details
L3Harris Technologies
Greenville, Texas
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Application Development - Engineering Operations Tools & Application Development Job Code: 37565 Job Location: Greenville, TX (On-site) Job Schedule: 1st Shift 9/80 Job Description: As a Sr. Application Development Specialist, you will be responsible for playing a crucial role in developing, maintaining and integrating our backend systems in a closed area, including our Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. You will primarily manage, enhance and integrate our microservices infrastructure while contributing to broader general to be defined tasking due to the unique nature of the program. This role requires a self-driven individual who can work independently and prioritize tasking based on program rea need balanced with broader business requirements and is proactive in staying current with emerging technologies and can participate in efforts effectively with a small team of developers as well as balance the program security control functions. Essential Functions: Develop, maintain, integrate, upgrade and enhance Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. Develop, maintain, integrate, and upgrade the upkeep of and management of microservices within our technology stack. Collaborate with cross-functional teams to integrate backend systems with web applications. Personally, maintaining some self-driven or time driven projects with a large amount of autonomy as required. Stay updated with industry trends and technologies to ensure our systems remain cutting-edge. Troubleshoot and resolve issues related to API integrations and microservices versus program security control implementation and provide solutions not too far out of line with general established solutions. Contributes to the design and architecture of scalable and efficient backend systems. Advocate and arbitrate with the team for best design based on requirements defined to be met. Understanding in Golang, C#, JavaScript, and Vue, or equivalent languages. Familiarity with PLM tools and CAD/CAM and teams Custom developed applications/systems garnered towards the ISR business model. Strong understanding of microservices architecture implementation. Experience with integrating disparate tools into a PLM suite such as Simulations, Requirements Management, MBSE, or "unique space" and be comfortable explaining what was required in detail. Excellent problem-solving skills and the ability to adapt to new technologies, provide solutions and once confirmed, implement said solutions. Strong communication skills, status and prioritization and the ability to work effectively in a fast-paced environment with minimal oversight. Utilization of and development for Teamcenter RAC and/or Active Workspace experience Experience and hands on exposure for working with large data migrations/transforms. Aptitude in working directly with infrastructure/architecture across various virtualization platforms and program vs enterprise teams. Comfort in uncharted digital territories with results delivery as it applies to business need. Other duties as assigned by Supervisor. Qualifications: Bachelor's Degree with six (6) years of Software development with a focus on backend systems experience. Graduate Degree with four (4) years of Software development with a focus on backend systems experience. In lieu of a degree, minimum of 10 years of Software development with a focus on backend systems experience. Must have an active Secret clearance at the time of hire. Must be a U.S. Citizen. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Application Development - Engineering Operations Tools & Application Development Job Code: 37565 Job Location: Greenville, TX (On-site) Job Schedule: 1st Shift 9/80 Job Description: As a Sr. Application Development Specialist, you will be responsible for playing a crucial role in developing, maintaining and integrating our backend systems in a closed area, including our Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. You will primarily manage, enhance and integrate our microservices infrastructure while contributing to broader general to be defined tasking due to the unique nature of the program. This role requires a self-driven individual who can work independently and prioritize tasking based on program rea need balanced with broader business requirements and is proactive in staying current with emerging technologies and can participate in efforts effectively with a small team of developers as well as balance the program security control functions. Essential Functions: Develop, maintain, integrate, upgrade and enhance Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. Develop, maintain, integrate, and upgrade the upkeep of and management of microservices within our technology stack. Collaborate with cross-functional teams to integrate backend systems with web applications. Personally, maintaining some self-driven or time driven projects with a large amount of autonomy as required. Stay updated with industry trends and technologies to ensure our systems remain cutting-edge. Troubleshoot and resolve issues related to API integrations and microservices versus program security control implementation and provide solutions not too far out of line with general established solutions. Contributes to the design and architecture of scalable and efficient backend systems. Advocate and arbitrate with the team for best design based on requirements defined to be met. Understanding in Golang, C#, JavaScript, and Vue, or equivalent languages. Familiarity with PLM tools and CAD/CAM and teams Custom developed applications/systems garnered towards the ISR business model. Strong understanding of microservices architecture implementation. Experience with integrating disparate tools into a PLM suite such as Simulations, Requirements Management, MBSE, or "unique space" and be comfortable explaining what was required in detail. Excellent problem-solving skills and the ability to adapt to new technologies, provide solutions and once confirmed, implement said solutions. Strong communication skills, status and prioritization and the ability to work effectively in a fast-paced environment with minimal oversight. Utilization of and development for Teamcenter RAC and/or Active Workspace experience Experience and hands on exposure for working with large data migrations/transforms. Aptitude in working directly with infrastructure/architecture across various virtualization platforms and program vs enterprise teams. Comfort in uncharted digital territories with results delivery as it applies to business need. Other duties as assigned by Supervisor. Qualifications: Bachelor's Degree with six (6) years of Software development with a focus on backend systems experience. Graduate Degree with four (4) years of Software development with a focus on backend systems experience. In lieu of a degree, minimum of 10 years of Software development with a focus on backend systems experience. Must have an active Secret clearance at the time of hire. Must be a U.S. Citizen. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris Technologies
Greenville, Texas
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Application Development - Engineering Operations Tools & Application Development Job Code: 37565 Job Location: Greenville, TX (On-site) Job Schedule: 1st Shift 9/80 Job Description: As a Sr. Application Development Specialist, you will be responsible for playing a crucial role in developing, maintaining and integrating our backend systems in a closed area, including our Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. You will primarily manage, enhance and integrate our microservices infrastructure while contributing to broader general to be defined tasking due to the unique nature of the program. This role requires a self-driven individual who can work independently and prioritize tasking based on program rea need balanced with broader business requirements and is proactive in staying current with emerging technologies and can participate in efforts effectively with a small team of developers as well as balance the program security control functions. Essential Functions: Develop, maintain, integrate, upgrade and enhance Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. Develop, maintain, integrate, and upgrade the upkeep of and management of microservices within our technology stack. Collaborate with cross-functional teams to integrate backend systems with web applications. Personally, maintaining some self-driven or time driven projects with a large amount of autonomy as required. Stay updated with industry trends and technologies to ensure our systems remain cutting-edge. Troubleshoot and resolve issues related to API integrations and microservices versus program security control implementation and provide solutions not too far out of line with general established solutions. Contributes to the design and architecture of scalable and efficient backend systems. Advocate and arbitrate with the team for best design based on requirements defined to be met. Understanding in Golang, C#, JavaScript, and Vue, or equivalent languages. Familiarity with PLM tools and CAD/CAM and teams Custom developed applications/systems garnered towards the ISR business model. Strong understanding of microservices architecture implementation. Experience with integrating disparate tools into a PLM suite such as Simulations, Requirements Management, MBSE, or "unique space" and be comfortable explaining what was required in detail. Excellent problem-solving skills and the ability to adapt to new technologies, provide solutions and once confirmed, implement said solutions. Strong communication skills, status and prioritization and the ability to work effectively in a fast-paced environment with minimal oversight. Utilization of and development for Teamcenter RAC and/or Active Workspace experience Experience and hands on exposure for working with large data migrations/transforms. Aptitude in working directly with infrastructure/architecture across various virtualization platforms and program vs enterprise teams. Comfort in uncharted digital territories with results delivery as it applies to business need. Other duties as assigned by Supervisor. Qualifications: Bachelor's Degree with six (6) years of Software development with a focus on backend systems experience. Graduate Degree with four (4) years of Software development with a focus on backend systems experience. In lieu of a degree, minimum of 10 years of Software development with a focus on backend systems experience. Must have an active Secret clearance at the time of hire. Must be a U.S. Citizen. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Application Development - Engineering Operations Tools & Application Development Job Code: 37565 Job Location: Greenville, TX (On-site) Job Schedule: 1st Shift 9/80 Job Description: As a Sr. Application Development Specialist, you will be responsible for playing a crucial role in developing, maintaining and integrating our backend systems in a closed area, including our Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. You will primarily manage, enhance and integrate our microservices infrastructure while contributing to broader general to be defined tasking due to the unique nature of the program. This role requires a self-driven individual who can work independently and prioritize tasking based on program rea need balanced with broader business requirements and is proactive in staying current with emerging technologies and can participate in efforts effectively with a small team of developers as well as balance the program security control functions. Essential Functions: Develop, maintain, integrate, upgrade and enhance Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. Develop, maintain, integrate, and upgrade the upkeep of and management of microservices within our technology stack. Collaborate with cross-functional teams to integrate backend systems with web applications. Personally, maintaining some self-driven or time driven projects with a large amount of autonomy as required. Stay updated with industry trends and technologies to ensure our systems remain cutting-edge. Troubleshoot and resolve issues related to API integrations and microservices versus program security control implementation and provide solutions not too far out of line with general established solutions. Contributes to the design and architecture of scalable and efficient backend systems. Advocate and arbitrate with the team for best design based on requirements defined to be met. Understanding in Golang, C#, JavaScript, and Vue, or equivalent languages. Familiarity with PLM tools and CAD/CAM and teams Custom developed applications/systems garnered towards the ISR business model. Strong understanding of microservices architecture implementation. Experience with integrating disparate tools into a PLM suite such as Simulations, Requirements Management, MBSE, or "unique space" and be comfortable explaining what was required in detail. Excellent problem-solving skills and the ability to adapt to new technologies, provide solutions and once confirmed, implement said solutions. Strong communication skills, status and prioritization and the ability to work effectively in a fast-paced environment with minimal oversight. Utilization of and development for Teamcenter RAC and/or Active Workspace experience Experience and hands on exposure for working with large data migrations/transforms. Aptitude in working directly with infrastructure/architecture across various virtualization platforms and program vs enterprise teams. Comfort in uncharted digital territories with results delivery as it applies to business need. Other duties as assigned by Supervisor. Qualifications: Bachelor's Degree with six (6) years of Software development with a focus on backend systems experience. Graduate Degree with four (4) years of Software development with a focus on backend systems experience. In lieu of a degree, minimum of 10 years of Software development with a focus on backend systems experience. Must have an active Secret clearance at the time of hire. Must be a U.S. Citizen. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
