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principal test engineer
Oracle
Senior Principal Business Operations Lead (Nashville, TN)
Oracle Nashville, Tennessee
The Global Program Controls organization provides governance, reporting, controls processes, cost management support, and portfolio visibility to help Oracle Cloud Infrastructure deliver global data center programs with greater consistency, transparency, and execution discipline. We are seeking a highly experienced individual contributor to help transform complex operational and technical information into accurate, decision-ready insights for senior executives. This role is designed for someone who is relentless about data integrity, intellectually curious, highly responsive, and comfortable operating in a complex, fast-moving, technical environment. The successful candidate will be able to move fluidly between detailed operational data and CEO-level communication-digging into the underlying facts, identifying inconsistencies, resolving ambiguity, and distilling the results into clear, concise, and credible executive reporting. This is not a traditional data analyst, project manager, or communications role. It combines elements of all three. The ideal candidate will bring strong analytical judgment, executive communication skills, technical aptitude, and a delivery-oriented mindset. Prior data center experience is not required. More important is a genuine interest in learning technical subject matter and the ability to become conversant in areas such as data center operations, low-voltage infrastructure, rack and compute deployment, hardware testing, and server turn-up activities. Key Responsibilities Data Integrity and Analytical Rigor Establish confidence in the accuracy, consistency, completeness, and traceability of critical business and operational data. Investigate discrepancies across systems, reports, teams, and data sources, and drive issues through resolution. Ask probing questions, challenge unsupported assumptions, and ensure that reported information can withstand executive scrutiny. Develop practical processes and controls that improve data quality and reporting reliability over time. Identify gaps in available information and work across teams to establish a clear, defensible source of truth. Balance speed with precision, particularly during time-sensitive executive requests and operational escalations. Executive Reporting and Communication Translate highly technical, tactical, or operational information into clear and compelling narratives for the CEO and other senior executives. Produce executive reports, briefings, presentations, summaries, and decision-support materials. Distill large volumes of information into the few insights, risks, decisions, and actions that matter most. Tailor the depth, language, and format of communications to the intended executive audience. Ensure that executive materials are accurate, concise, logically structured, and supported by verifiable data. Anticipate likely executive questions and prepare the supporting analysis needed to answer them. Business and Technical Learning Develop a deep understanding of the company's business model, operations, technology, customers, systems, and key performance drivers. Become comfortable with technical concepts related to data center operations, low-voltage work, rack and compute deployment, hardware validation and testing, server installation, and server turn-up. Learn unfamiliar technical and operational subject matter quickly, even without prior domain experience. Engage confidently with engineers, operators, vendors, and subject-matter experts to understand technical processes, terminology, dependencies, and risks. Ask thoughtful questions and continue learning until able to accurately explain technical topics to both operational and executive audiences. Build strong working relationships with subject-matter experts and learn enough to challenge, clarify, and synthesize their input. Connect information across functions to identify broader implications, dependencies, risks, and opportunities. Approach technical subject matter with curiosity, humility, and genuine enthusiasm rather than hesitation or avoidance. Program Execution and Problem Solving Bring a project manager's discipline to ambiguous, cross-functional work. Define problems, organize workstreams, clarify owners, establish milestones, and drive deliverables to completion. Coordinate across technical, operational, finance, strategy, and leadership teams to obtain required inputs and resolve blockers. Step into urgent or unstructured situations, create order quickly, and drive toward a practical solution. Manage multiple high-priority requests while maintaining accuracy, responsiveness, and sound judgment. Follow through persistently until commitments are completed and issues are resolved. Executive and Operational Support Serve as a trusted, high-leverage partner to senior leadership on critical analyses, executive deliverables, and time-sensitive business issues. Independently take ownership of complex requests with limited initial direction. Help diagnose and resolve urgent business or operational "fire drills." Exercise discretion when handling sensitive, confidential, or executive-level information. Provide flexibility during periods of elevated business activity, including occasional support outside standard working hours when urgent circumstances require it. Responsibilities Candidate Profile The ideal candidate is a senior, hands-on operator who combines intellectual curiosity with an exceptional standard for accuracy. This person is comfortable going deep into the details without losing sight of the larger business narrative. They are not satisfied with numbers simply because they appear in a system or report. They want to understand where the data came from, how it was calculated, whether it is complete, and whether it tells the full story. At the same time, they understand that analysis creates value only when it leads to clarity, decisions, and action. They are energized-not intimidated-by technical complexity and unfamiliar subject matter. They do not need to arrive with deep expertise in data center infrastructure, low-voltage systems, rack and compute deployment, testing, or server turn-up. They do need to enjoy learning how these areas work, be willing to engage deeply with technical experts, and develop enough fluency to identify risks, ask credible questions, and communicate clearly about the work. Required Qualifications Approximately 10-15 years of relevant experience in business operations, strategy and operations, analytics, executive reporting, program management, management consulting, finance, corporate strategy, or a related field. Demonstrated success translating complex technical or operational information into executive-level reports and presentations. Exceptional written communication skills, including the ability to draft concise, polished language suitable for a CEO or board-level audience. Strong analytical judgment and a demonstrated commitment to data accuracy and integrity. Experience investigating inconsistent or incomplete data and coordinating across teams to resolve underlying issues. Proven ability to lead complex, cross-functional initiatives as a senior individual contributor. Strong project and program management capabilities, including planning, prioritization, dependency management, and follow-through. Ability to learn unfamiliar businesses, technologies, infrastructure, and operating models quickly. Demonstrated comfort engaging with detailed technical information and working closely with engineering or operations teams. Comfort operating in an environment with ambiguity, changing priorities, and urgent requests. High degree of ownership, responsiveness, discretion, and professional judgment. This is an onsite position in Nashville, TN. Preferred Qualifications Experience in management consulting, corporate strategy, finance, operations, transformation, technical program management, or an executive office. Experience preparing materials for C-suite executives, boards of directors, investors, or other senior stakeholders. Familiarity with business intelligence, reporting, data governance, operational metrics, or enterprise systems. Experience working in a technically complex, infrastructure-intensive, or operationally demanding environment. Exposure to data center operations, physical infrastructure, low-voltage systems, hardware deployment, testing, commissioning, or related technical environments. Evidence of succeeding across industries or learning a new industry quickly. Advanced proficiency with presentation, spreadsheet, reporting, and data-visualization tools. What Success Looks Like Within the first year, the successful candidate will: Become a trusted source of accurate, well-supported information for senior leadership. Develop a strong working understanding of the company's technical and operational environment. Build practical fluency in data center operations, infrastructure deployment, testing, and server turn-up processes. Improve the clarity, consistency, and credibility of executive reporting. Reduce time spent reconciling conflicting data and resolving recurring reporting issues click apply for full job details
09/23/2026
Full time
The Global Program Controls organization provides governance, reporting, controls processes, cost management support, and portfolio visibility to help Oracle Cloud Infrastructure deliver global data center programs with greater consistency, transparency, and execution discipline. We are seeking a highly experienced individual contributor to help transform complex operational and technical information into accurate, decision-ready insights for senior executives. This role is designed for someone who is relentless about data integrity, intellectually curious, highly responsive, and comfortable operating in a complex, fast-moving, technical environment. The successful candidate will be able to move fluidly between detailed operational data and CEO-level communication-digging into the underlying facts, identifying inconsistencies, resolving ambiguity, and distilling the results into clear, concise, and credible executive reporting. This is not a traditional data analyst, project manager, or communications role. It combines elements of all three. The ideal candidate will bring strong analytical judgment, executive communication skills, technical aptitude, and a delivery-oriented mindset. Prior data center experience is not required. More important is a genuine interest in learning technical subject matter and the ability to become conversant in areas such as data center operations, low-voltage infrastructure, rack and compute deployment, hardware testing, and server turn-up activities. Key Responsibilities Data Integrity and Analytical Rigor Establish confidence in the accuracy, consistency, completeness, and traceability of critical business and operational data. Investigate discrepancies across systems, reports, teams, and data sources, and drive issues through resolution. Ask probing questions, challenge unsupported assumptions, and ensure that reported information can withstand executive scrutiny. Develop practical processes and controls that improve data quality and reporting reliability over time. Identify gaps in available information and work across teams to establish a clear, defensible source of truth. Balance speed with precision, particularly during time-sensitive executive requests and operational escalations. Executive Reporting and Communication Translate highly technical, tactical, or operational information into clear and compelling narratives for the CEO and other senior executives. Produce executive reports, briefings, presentations, summaries, and decision-support materials. Distill large volumes of information into the few insights, risks, decisions, and actions that matter most. Tailor the depth, language, and format of communications to the intended executive audience. Ensure that executive materials are accurate, concise, logically structured, and supported by verifiable data. Anticipate likely executive questions and prepare the supporting analysis needed to answer them. Business and Technical Learning Develop a deep understanding of the company's business model, operations, technology, customers, systems, and key performance drivers. Become comfortable with technical concepts related to data center operations, low-voltage work, rack and compute deployment, hardware validation and testing, server installation, and server turn-up. Learn unfamiliar technical and operational subject matter quickly, even without prior domain experience. Engage confidently with engineers, operators, vendors, and subject-matter experts to understand technical processes, terminology, dependencies, and risks. Ask thoughtful questions and continue learning until able to accurately explain technical topics to both operational and executive audiences. Build strong working relationships with subject-matter experts and learn enough to challenge, clarify, and synthesize their input. Connect information across functions to identify broader implications, dependencies, risks, and opportunities. Approach technical subject matter with curiosity, humility, and genuine enthusiasm rather than hesitation or avoidance. Program Execution and Problem Solving Bring a project manager's discipline to ambiguous, cross-functional work. Define problems, organize workstreams, clarify owners, establish milestones, and drive deliverables to completion. Coordinate across technical, operational, finance, strategy, and leadership teams to obtain required inputs and resolve blockers. Step into urgent or unstructured situations, create order quickly, and drive toward a practical solution. Manage multiple high-priority requests while maintaining accuracy, responsiveness, and sound judgment. Follow through persistently until commitments are completed and issues are resolved. Executive and Operational Support Serve as a trusted, high-leverage partner to senior leadership on critical analyses, executive deliverables, and time-sensitive business issues. Independently take ownership of complex requests with limited initial direction. Help diagnose and resolve urgent business or operational "fire drills." Exercise discretion when handling sensitive, confidential, or executive-level information. Provide flexibility during periods of elevated business activity, including occasional support outside standard working hours when urgent circumstances require it. Responsibilities Candidate Profile The ideal candidate is a senior, hands-on operator who combines intellectual curiosity with an exceptional standard for accuracy. This person is comfortable going deep into the details without losing sight of the larger business narrative. They are not satisfied with numbers simply because they appear in a system or report. They want to understand where the data came from, how it was calculated, whether it is complete, and whether it tells the full story. At the same time, they understand that analysis creates value only when it leads to clarity, decisions, and action. They are energized-not intimidated-by technical complexity and unfamiliar subject matter. They do not need to arrive with deep expertise in data center infrastructure, low-voltage systems, rack and compute deployment, testing, or server turn-up. They do need to enjoy learning how these areas work, be willing to engage deeply with technical experts, and develop enough fluency to identify risks, ask credible questions, and communicate clearly about the work. Required Qualifications Approximately 10-15 years of relevant experience in business operations, strategy and operations, analytics, executive reporting, program management, management consulting, finance, corporate strategy, or a related field. Demonstrated success translating complex technical or operational information into executive-level reports and presentations. Exceptional written communication skills, including the ability to draft concise, polished language suitable for a CEO or board-level audience. Strong analytical judgment and a demonstrated commitment to data accuracy and integrity. Experience investigating inconsistent or incomplete data and coordinating across teams to resolve underlying issues. Proven ability to lead complex, cross-functional initiatives as a senior individual contributor. Strong project and program management capabilities, including planning, prioritization, dependency management, and follow-through. Ability to learn unfamiliar businesses, technologies, infrastructure, and operating models quickly. Demonstrated comfort engaging with detailed technical information and working closely with engineering or operations teams. Comfort operating in an environment with ambiguity, changing priorities, and urgent requests. High degree of ownership, responsiveness, discretion, and professional judgment. This is an onsite position in Nashville, TN. Preferred Qualifications Experience in management consulting, corporate strategy, finance, operations, transformation, technical program management, or an executive office. Experience preparing materials for C-suite executives, boards of directors, investors, or other senior stakeholders. Familiarity with business intelligence, reporting, data governance, operational metrics, or enterprise systems. Experience working in a technically complex, infrastructure-intensive, or operationally demanding environment. Exposure to data center operations, physical infrastructure, low-voltage systems, hardware deployment, testing, commissioning, or related technical environments. Evidence of succeeding across industries or learning a new industry quickly. Advanced proficiency with presentation, spreadsheet, reporting, and data-visualization tools. What Success Looks Like Within the first year, the successful candidate will: Become a trusted source of accurate, well-supported information for senior leadership. Develop a strong working understanding of the company's technical and operational environment. Build practical fluency in data center operations, infrastructure deployment, testing, and server turn-up processes. Improve the clarity, consistency, and credibility of executive reporting. Reduce time spent reconciling conflicting data and resolving recurring reporting issues click apply for full job details
Oracle
Principal Modern Planner
Oracle Nashville, Tennessee
We are looking for a Principal Modern Planner to own demand planning and forecasting for networking hardware supporting large-scale cloud data center builds and expansions. This role will connect data center build plans, network architecture, product roadmaps, engineering changes, BOMs, and historical demand to a long-range view of hardware requirements. The planner will work across Networking Engineering, Network Architecture, Data Center Planning, Product, Supply Chain, Procurement, Finance, and Data/Analytics to understand the underlying demand drivers, reconcile different inputs, and improve the quality and consistency of the demand plan. The role also has a strong analytics and data component. The successful candidate will use forecasting, statistical analysis, data modeling, automation, and AI/ML to improve planning processes, identify issues in the demand signal, and provide better visibility into future capacity and supply requirements. This is a hands-on Principal role for someone who can move between planning strategy, detailed data analysis, and networking hardware fundamentals, and who can work effectively with both technical teams and senior leadership. Responsibilities Own demand planning and forecasting for networking hardware supporting data center builds, expansions, and ongoing capacity requirements. Develop and maintain long-range demand forecasts, including 24+ month outlooks, across networking products, platforms, and SKUs. Work with Data Center Planning, Network Engineering, Product, Supply Chain, Procurement, and Finance to understand upcoming builds, deployment timing, architecture changes, and other demand drivers. Translate data center build plans and network architecture requirements into hardware and component demand, including the relationship between capacity, racks, network topology, BOMs, and SKUs. Develop forecasting models using historical demand, deployment trends, engineering inputs, product roadmaps, and other relevant signals. Build scenarios to understand the demand impact of changes in data center build timing, network architecture, product transitions, capacity plans, and supply constraints. Work with engineering teams to incorporate BOM changes, new product introductions, product transitions, substitutions, and EOL/EOS plans into the forecast. Identify issues in the demand signal, including double counting, overlapping assumptions, missing requirements, and inconsistent inputs across planning processes. Establish metrics and analytical methods to measure forecast accuracy, bias, volatility, and confidence, and use those insights to improve the planning process. Build and maintain the data and analytical foundation needed to connect data center plans, deployment information, engineering/BOM data, demand, supply, and inventory. Automate recurring planning, reconciliation, and reporting processes using SQL, Python, and other analytical technologies. Apply statistical forecasting, machine learning, optimization, simulation, and AI where they can materially improve planning quality or reduce manual work. Establish a regular planning cadence with engineering and business partners, including mechanisms for reviewing assumptions, reconciling changes, and obtaining alignment on the demand plan. Prepare analysis and recommendations for senior leadership on demand changes, capacity requirements, supply risks, and key planning assumptions. Lead complex planning issues across organizational boundaries and drive them to resolution. Mentor other planners and analytical team members and help establish scalable planning practices. Required Qualifications Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Statistics, Operations Research, Supply Chain, Economics, or a related field. 5-8 years of experience in demand planning, forecasting, capacity planning, supply-chain planning, analytics, operations research, or a related area. Experience working with technology hardware, networking, semiconductor, cloud infrastructure, or data center infrastructure. Strong understanding of demand forecasting and long-range planning, including forecast accuracy, bias, scenario planning, and demand drivers. Experience working with complex hardware products, including BOMs, SKUs, product lifecycle, NPI, EOL/EOS, and product transitions. Experience connecting engineering, deployment, or infrastructure plans to hardware demand. Strong analytical and quantitative skills, including hands-on experience with SQL and Python/R. Experience working with large datasets and using data to investigate problems and support planning decisions. Strong cross-functional communication skills and experience working with engineering, supply chain, product, and business stakeholders. Ability to operate independently, navigate ambiguity, and influence decisions across organizations. Preferred Qualifications Experience with data center build and deployment planning or cloud infrastructure capacity planning. Experience with networking hardware such as Ethernet switches, NICs, DPUs/SmartNICs, optical transceivers, cables, or related components. Familiarity with data center networking architectures and high-performance/AI networking. Experience developing models that connect data center builds and network architecture to BOM and SKU-level demand. Experience with networking or semiconductor supply chains, including lead times, constraints, allocation, substitutions, and technology transitions. Experience with time-series forecasting, probabilistic forecasting, machine learning, optimization, simulation, or other advanced analytical methods. Experience building data pipelines, analytical datasets, dashboards, or planning tools. Experience using GenAI or automation to improve planning and forecasting processes. Experience presenting planning analysis and recommendations to senior engineering or business leadership. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $90,100 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process . click apply for full job details
09/23/2026
Full time
We are looking for a Principal Modern Planner to own demand planning and forecasting for networking hardware supporting large-scale cloud data center builds and expansions. This role will connect data center build plans, network architecture, product roadmaps, engineering changes, BOMs, and historical demand to a long-range view of hardware requirements. The planner will work across Networking Engineering, Network Architecture, Data Center Planning, Product, Supply Chain, Procurement, Finance, and Data/Analytics to understand the underlying demand drivers, reconcile different inputs, and improve the quality and consistency of the demand plan. The role also has a strong analytics and data component. The successful candidate will use forecasting, statistical analysis, data modeling, automation, and AI/ML to improve planning processes, identify issues in the demand signal, and provide better visibility into future capacity and supply requirements. This is a hands-on Principal role for someone who can move between planning strategy, detailed data analysis, and networking hardware fundamentals, and who can work effectively with both technical teams and senior leadership. Responsibilities Own demand planning and forecasting for networking hardware supporting data center builds, expansions, and ongoing capacity requirements. Develop and maintain long-range demand forecasts, including 24+ month outlooks, across networking products, platforms, and SKUs. Work with Data Center Planning, Network Engineering, Product, Supply Chain, Procurement, and Finance to understand upcoming builds, deployment timing, architecture changes, and other demand drivers. Translate data center build plans and network architecture requirements into hardware and component demand, including the relationship between capacity, racks, network topology, BOMs, and SKUs. Develop forecasting models using historical demand, deployment trends, engineering inputs, product roadmaps, and other relevant signals. Build scenarios to understand the demand impact of changes in data center build timing, network architecture, product transitions, capacity plans, and supply constraints. Work with engineering teams to incorporate BOM changes, new product introductions, product transitions, substitutions, and EOL/EOS plans into the forecast. Identify issues in the demand signal, including double counting, overlapping assumptions, missing requirements, and inconsistent inputs across planning processes. Establish metrics and analytical methods to measure forecast accuracy, bias, volatility, and confidence, and use those insights to improve the planning process. Build and maintain the data and analytical foundation needed to connect data center plans, deployment information, engineering/BOM data, demand, supply, and inventory. Automate recurring planning, reconciliation, and reporting processes using SQL, Python, and other analytical technologies. Apply statistical forecasting, machine learning, optimization, simulation, and AI where they can materially improve planning quality or reduce manual work. Establish a regular planning cadence with engineering and business partners, including mechanisms for reviewing assumptions, reconciling changes, and obtaining alignment on the demand plan. Prepare analysis and recommendations for senior leadership on demand changes, capacity requirements, supply risks, and key planning assumptions. Lead complex planning issues across organizational boundaries and drive them to resolution. Mentor other planners and analytical team members and help establish scalable planning practices. Required Qualifications Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Statistics, Operations Research, Supply Chain, Economics, or a related field. 5-8 years of experience in demand planning, forecasting, capacity planning, supply-chain planning, analytics, operations research, or a related area. Experience working with technology hardware, networking, semiconductor, cloud infrastructure, or data center infrastructure. Strong understanding of demand forecasting and long-range planning, including forecast accuracy, bias, scenario planning, and demand drivers. Experience working with complex hardware products, including BOMs, SKUs, product lifecycle, NPI, EOL/EOS, and product transitions. Experience connecting engineering, deployment, or infrastructure plans to hardware demand. Strong analytical and quantitative skills, including hands-on experience with SQL and Python/R. Experience working with large datasets and using data to investigate problems and support planning decisions. Strong cross-functional communication skills and experience working with engineering, supply chain, product, and business stakeholders. Ability to operate independently, navigate ambiguity, and influence decisions across organizations. Preferred Qualifications Experience with data center build and deployment planning or cloud infrastructure capacity planning. Experience with networking hardware such as Ethernet switches, NICs, DPUs/SmartNICs, optical transceivers, cables, or related components. Familiarity with data center networking architectures and high-performance/AI networking. Experience developing models that connect data center builds and network architecture to BOM and SKU-level demand. Experience with networking or semiconductor supply chains, including lead times, constraints, allocation, substitutions, and technology transitions. Experience with time-series forecasting, probabilistic forecasting, machine learning, optimization, simulation, or other advanced analytical methods. Experience building data pipelines, analytical datasets, dashboards, or planning tools. Experience using GenAI or automation to improve planning and forecasting processes. Experience presenting planning analysis and recommendations to senior engineering or business leadership. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $90,100 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process . click apply for full job details
Principal Embedded Software Engineer
Draper Cambridge, Massachusetts
Overview: Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit . Job Description Summary: The Principal Embedded Software Engineer develops high performance solutions for resource constrained targets. Develops next-generation resilient and fault tolerant software solutions in the application domains of undersea, terrestrial, air, hypersonics and space. The Engineer is involved in the full software development life cycle. Job Description: Duties/Responsibilities • Evaluates requirements, proposes solutions, explores design trades to support a design. • Designs algorithms using modern theory and proven techniques. • Develops embedded software based on prototype algorithms with supervision. • Analyzes designs to demonstrate performance and functionality. • Develops and executes software tests to check compliance with requirements. • Evaluates results to establish problem causes and develop solutions for inefficient or problems. • Prepares technical data, procedures, reports, drawings, manuals, and other required documentation. • Drive solutions to complex problems with limited direction - contribute to requirements development and architecture solution ideation. • Responsibility for subset of engineering scope. • Identifies program/system-level technical risks and develop and execute mitigation strategies. • Actively mentor less experienced engineers. • Performs other duties as assigned. Skills/Abilities • Excellent development and troubleshooting skills on embedded targets. • Excellent knowledge of OS coding techniques IP protocols interfaces and hardware subsystems. • Expertise in software development for real-time systems. • Mastery of high level development languages (e.g. C/C++, Rust) • Excellent organizational skills and attention to detail. • Strong analytical and problem-solving skills. • Knowledge of software configuration management tools defect tracking tools and peer review processes. • Excellent time management skills with the proven ability to meet deadlines. • Excellent verbal and written communications skills. • Experience with UML/SysML. • Experience with in-circuit emulators, JTAG debuggers and laboratory test equipment. Education Requires a bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering. Experience Requires 10-15 years experience in Software Engineering or related. Additional Job Description: Applicants selected for this position will be required to obtain and maintain a government security clearance. Secret clearance is preferred. Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration. Job Location - City: Cambridge Job Location - State: Massachusetts Job Location - Postal Code: The US base salary range for this full-time position is $75,000.00 - $275,000.00 Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits. Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact .
09/23/2026
Full time
Overview: Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit . Job Description Summary: The Principal Embedded Software Engineer develops high performance solutions for resource constrained targets. Develops next-generation resilient and fault tolerant software solutions in the application domains of undersea, terrestrial, air, hypersonics and space. The Engineer is involved in the full software development life cycle. Job Description: Duties/Responsibilities • Evaluates requirements, proposes solutions, explores design trades to support a design. • Designs algorithms using modern theory and proven techniques. • Develops embedded software based on prototype algorithms with supervision. • Analyzes designs to demonstrate performance and functionality. • Develops and executes software tests to check compliance with requirements. • Evaluates results to establish problem causes and develop solutions for inefficient or problems. • Prepares technical data, procedures, reports, drawings, manuals, and other required documentation. • Drive solutions to complex problems with limited direction - contribute to requirements development and architecture solution ideation. • Responsibility for subset of engineering scope. • Identifies program/system-level technical risks and develop and execute mitigation strategies. • Actively mentor less experienced engineers. • Performs other duties as assigned. Skills/Abilities • Excellent development and troubleshooting skills on embedded targets. • Excellent knowledge of OS coding techniques IP protocols interfaces and hardware subsystems. • Expertise in software development for real-time systems. • Mastery of high level development languages (e.g. C/C++, Rust) • Excellent organizational skills and attention to detail. • Strong analytical and problem-solving skills. • Knowledge of software configuration management tools defect tracking tools and peer review processes. • Excellent time management skills with the proven ability to meet deadlines. • Excellent verbal and written communications skills. • Experience with UML/SysML. • Experience with in-circuit emulators, JTAG debuggers and laboratory test equipment. Education Requires a bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering. Experience Requires 10-15 years experience in Software Engineering or related. Additional Job Description: Applicants selected for this position will be required to obtain and maintain a government security clearance. Secret clearance is preferred. Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration. Job Location - City: Cambridge Job Location - State: Massachusetts Job Location - Postal Code: The US base salary range for this full-time position is $75,000.00 - $275,000.00 Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits. Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact .
Director, Product Security
Crunchyroll, LLC Los Angeles, California
About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role Crunchyroll is growing and evolving, creating both new opportunities and new challenges as it protects millions of anime fans worldwide while still shipping quickly and with high quality. We are looking for a security leader who wants to shape how engineering builds and operates securely at scale. In this Principal-level, hands-on Director role reporting to the VP of Information Security, you will connect strategy to execution by turning security goals into secure-by-default, compliant systems and practices that teams actually use. You will partner closely with engineering leaders and senior ICs to reduce friction, align on priorities, and drive consistent follow-through, protecting our fans and our platform without sacrificing delivery velocity. Success will be through influence and enablement, and you will also periodically build practical solutions, such as reference implementations and tooling integrations, that make it easier for teams to adopt the right security patterns. Core Areas of Responsibility In this role, you will be a force multiplier for engineering, setting the direction, building key parts, and ensuring follow-through so security becomes a durable part of how Crunchyroll ships. You will own the engineering-facing mechanisms that make security real in day-to-day delivery: Security execution at scale: Drive adoption of security controls across engineering by driving adoption of clear engineering playbooks, paved paths, and secure-by-default platform capabilities that can be consistently adopted across services, regardless of engineering domain. Engineering teams remain accountable for design, implementation, operation, and remediation of their services. This role provides security strategy, guidance, tooling, visibility, coordination, and escalation mechanisms that enable teams to meet those obligations consistently at scale Vulnerability closure and systemic risk reduction: Facilitate the operating rhythm across engineering for vulnerability intake, triage, tracking of vulnerability ownership, SLAs, remediation planning, verification, and escalation. Establish systems and processes that ensure timely fixes and eliminate repeat issues through improvements. Tooling integration and evidence readiness: Coordinate with engineering teams to integrate enterprise security tooling into CI/CD and production environments, and ensure engineering can reliably produce evidence of compliance in a low-friction, automated way. Design-time security embedded in engineering workflows: Ensure threat modeling and security architecture considerations are built into how engineering designs and ships using approved patterns and reference architectures as the default starting point. Pragmatic requirements shaping: When requirements are infeasible or disproportionately costly, you'll drive early escalation and propose alternatives (sequencing, compensating controls, platform changes) so we maintain momentum without accepting unmanaged risk. Cross-team alignment and escalation: Identify cross-domain architectural risks and drive alignment / decision-making through established engineering leadership and architecture governance processes, bringing the right stakeholders together and escalating when tradeoffs require executive judgment. Incident readiness and closure: Improve security incident preparedness in engineering (runbooks, exercises, detection hooks) and ensure post-incident actions translate into durable engineering improvements. Partner with Global Security for execution: Serve as the primary engineering counterpart to Global Security, translating enterprise policies, controls, tooling, and compliance requirements into recommendations or actionable insights that are adoptable engineering practices, and feeding back where standards need better patterns, automation, or sequencing to scale. What success looks like Success in this role is not about managing security reviews, success is measurable engineering outcomes: Drive enterprise-wide adoption of Security and Privacy by Design, ensuring security, privacy, and compliance requirements are proactively integrated into products, services, and technology platforms Security controls are implemented broadly with minimal friction because the secure path is well defined Vulnerabilities have clear owners, predictable remediation, and decreased recurring issues Success in this role is about partnering with Engineering teams on security initiatives and enabling them to be effective with an understanding that Engineering teams have clear ownership of platforms and will be accountable for them About You We get excited about candidates like you, because You have 12+ years of progressive experience in information security, application security, cloud security, or software engineering, including significant experience leading enterprise-scale security initiatives through technical influence rather than direct authority. You exhibit Principal-level technical leadership with a proven track record of leading cross-team security initiatives through influence, clarity, and shipping real systems-not just policies. You possess strong application security fundamentals such as: authn/authz, session security, secure API design, data protection, threat modeling, and secure SDLC practices. You have pragmatic risk management, with the ability to prioritize, quantify tradeoffs, and create guardrails that teams actually adopt. You have cloud & platform security experience such as: IAM concepts, secrets management, key management, service-to-service auth patterns, and logging/detection fundamentals. You possess a DevSecOps and automation mindset and have experience integrating security checks into CI/CD with minimal developer friction. You exhibit depth in vulnerability management, knowing how to triage, develop remediation strategies, verify fixes, all while partnering with teams to close the loop quickly. You possess excellent communication skills that include concise, executive-ready writing and strong technical coaching abilities for engineers. You meet people where they are and endeavor to build intrinsic motivation to develop solutions to problems through shared understanding. Preferred, but not required: Experience with streaming/media security and DRM ecosystems and output protection concepts. Experience with mobile and device ecosystems (iOS/Android/TV devices), including secure storage patterns and platform attestation. Familiarity with reverse engineering tools and client hardening/anti-tamper approaches. Exposure to privacy/security compliance partnerships (GRC) and working with legal/product on policy requirements. About the Team Crunchyroll's Security team is focused on partnering with teams across the organization to provide secure solutions and protect company assets as we serve the Anime community. We provide Security, GRC (Governance, Risk, and Compliance), Data Privacy, and Network Infrastructure services to the enterprise. Everyday we have an opportunity to make a positive impact while being at the center of innovative initiatives. If you are looking to join a team where you will make a difference, we would love to hear from you. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - Los Angeles, CA $249,000-$305,000 USD About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service . click apply for full job details
09/23/2026
Full time
About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role Crunchyroll is growing and evolving, creating both new opportunities and new challenges as it protects millions of anime fans worldwide while still shipping quickly and with high quality. We are looking for a security leader who wants to shape how engineering builds and operates securely at scale. In this Principal-level, hands-on Director role reporting to the VP of Information Security, you will connect strategy to execution by turning security goals into secure-by-default, compliant systems and practices that teams actually use. You will partner closely with engineering leaders and senior ICs to reduce friction, align on priorities, and drive consistent follow-through, protecting our fans and our platform without sacrificing delivery velocity. Success will be through influence and enablement, and you will also periodically build practical solutions, such as reference implementations and tooling integrations, that make it easier for teams to adopt the right security patterns. Core Areas of Responsibility In this role, you will be a force multiplier for engineering, setting the direction, building key parts, and ensuring follow-through so security becomes a durable part of how Crunchyroll ships. You will own the engineering-facing mechanisms that make security real in day-to-day delivery: Security execution at scale: Drive adoption of security controls across engineering by driving adoption of clear engineering playbooks, paved paths, and secure-by-default platform capabilities that can be consistently adopted across services, regardless of engineering domain. Engineering teams remain accountable for design, implementation, operation, and remediation of their services. This role provides security strategy, guidance, tooling, visibility, coordination, and escalation mechanisms that enable teams to meet those obligations consistently at scale Vulnerability closure and systemic risk reduction: Facilitate the operating rhythm across engineering for vulnerability intake, triage, tracking of vulnerability ownership, SLAs, remediation planning, verification, and escalation. Establish systems and processes that ensure timely fixes and eliminate repeat issues through improvements. Tooling integration and evidence readiness: Coordinate with engineering teams to integrate enterprise security tooling into CI/CD and production environments, and ensure engineering can reliably produce evidence of compliance in a low-friction, automated way. Design-time security embedded in engineering workflows: Ensure threat modeling and security architecture considerations are built into how engineering designs and ships using approved patterns and reference architectures as the default starting point. Pragmatic requirements shaping: When requirements are infeasible or disproportionately costly, you'll drive early escalation and propose alternatives (sequencing, compensating controls, platform changes) so we maintain momentum without accepting unmanaged risk. Cross-team alignment and escalation: Identify cross-domain architectural risks and drive alignment / decision-making through established engineering leadership and architecture governance processes, bringing the right stakeholders together and escalating when tradeoffs require executive judgment. Incident readiness and closure: Improve security incident preparedness in engineering (runbooks, exercises, detection hooks) and ensure post-incident actions translate into durable engineering improvements. Partner with Global Security for execution: Serve as the primary engineering counterpart to Global Security, translating enterprise policies, controls, tooling, and compliance requirements into recommendations or actionable insights that are adoptable engineering practices, and feeding back where standards need better patterns, automation, or sequencing to scale. What success looks like Success in this role is not about managing security reviews, success is measurable engineering outcomes: Drive enterprise-wide adoption of Security and Privacy by Design, ensuring security, privacy, and compliance requirements are proactively integrated into products, services, and technology platforms Security controls are implemented broadly with minimal friction because the secure path is well defined Vulnerabilities have clear owners, predictable remediation, and decreased recurring issues Success in this role is about partnering with Engineering teams on security initiatives and enabling them to be effective with an understanding that Engineering teams have clear ownership of platforms and will be accountable for them About You We get excited about candidates like you, because You have 12+ years of progressive experience in information security, application security, cloud security, or software engineering, including significant experience leading enterprise-scale security initiatives through technical influence rather than direct authority. You exhibit Principal-level technical leadership with a proven track record of leading cross-team security initiatives through influence, clarity, and shipping real systems-not just policies. You possess strong application security fundamentals such as: authn/authz, session security, secure API design, data protection, threat modeling, and secure SDLC practices. You have pragmatic risk management, with the ability to prioritize, quantify tradeoffs, and create guardrails that teams actually adopt. You have cloud & platform security experience such as: IAM concepts, secrets management, key management, service-to-service auth patterns, and logging/detection fundamentals. You possess a DevSecOps and automation mindset and have experience integrating security checks into CI/CD with minimal developer friction. You exhibit depth in vulnerability management, knowing how to triage, develop remediation strategies, verify fixes, all while partnering with teams to close the loop quickly. You possess excellent communication skills that include concise, executive-ready writing and strong technical coaching abilities for engineers. You meet people where they are and endeavor to build intrinsic motivation to develop solutions to problems through shared understanding. Preferred, but not required: Experience with streaming/media security and DRM ecosystems and output protection concepts. Experience with mobile and device ecosystems (iOS/Android/TV devices), including secure storage patterns and platform attestation. Familiarity with reverse engineering tools and client hardening/anti-tamper approaches. Exposure to privacy/security compliance partnerships (GRC) and working with legal/product on policy requirements. About the Team Crunchyroll's Security team is focused on partnering with teams across the organization to provide secure solutions and protect company assets as we serve the Anime community. We provide Security, GRC (Governance, Risk, and Compliance), Data Privacy, and Network Infrastructure services to the enterprise. Everyday we have an opportunity to make a positive impact while being at the center of innovative initiatives. If you are looking to join a team where you will make a difference, we would love to hear from you. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - Los Angeles, CA $249,000-$305,000 USD About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service . click apply for full job details
Northrop Grumman
Principal/Senior Principal Systems Engineer Signals Processing
Northrop Grumman
RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: SCITRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Mission Systems is seeking a Principal Systems Engineer or a Sr Principal Systems Engineer with a Signal Processing background to work in Sacramento, California. Join a team that develops transformative signal processing solutions to solve complex challenges in Signals Intelligence (SIGINT). Your work will contribute to real-world national security initiatives. We offer a wide variety of professional development opportunities, mentorship by senior engineers, and access to cutting-edge tools and technologies like Ultra-Wideband (UWB) Software-Defined Radios (SDRs) and Graphics Processing Units (GPUs) for deployment of advanced signal processing algorithms. The engineer will be expected to have a basic understanding of core communications systems engineering concepts from their electrical engineering degree to perform analysis, devise requirements for and implement the signal processing algorithms. Responsibilities: Perform architecture trades, design analysis, and performance modeling Provide engineering support for hardware development efforts. Design detection and characterization algorithms for Radio Frequency communication signals Implement detection and characterization algorithms Test signal processing algorithms and receivers in a lab environment. Design, test, and produce detection, characterization, and geolocation algorithms. Support the deployment of core products on new platforms (e.g., manned aircraft, drones, ships, etc.). This position can be filled at the level 3 Principal or Level 4 Senior Principal based on specific requirements listed below. Basic Qualifications for Principal Systems Engineer Level 3: BS degree in STEM with 5 years relevant experience; or MS degree in STEM field with 3 years of related experience; or PhD in STEM field with 1 year of related experience Domain Expertise: Understanding tactical SIGINT operations, military capabilities, and geolocation concepts. Requirements Translation: Ability to convert complex operational needs into technical system requirements DSP Fundamentals: Understanding of modulation/demodulation, FFT/spectral analysis, filtering (FIR/IIR), resampling, channelization, and detection/estimation theory. SIGINT/RF Fundamentals: Experience with Software Defined Radios (SDR), RF front-ends, IQ data, geolocation techniques (DF/beamforming), and signal characterization Ability to obtain and maintain a Top Secret/SCI security clearance Basic Qualifications for Sr Principal Systems Engineer Level 4: BS in STEM degree with 8 years relevant experience; or MS degree in a STEM field with 6 years of related experience; or PhD in STEM field with 3 years of related experience Domain Expertise: Understanding tactical SIGINT operations, military capabilities, and geolocation concepts. Requirements Translation: Ability to convert complex operational needs into technical system requirements DSP Fundamentals: Understanding of modulation/demodulation, FFT/spectral analysis, filtering (FIR/IIR), resampling, channelization, and detection/estimation theory. SIGINT/RF Expertise: Experience with Software Defined Radios (SDR), RF front-ends, IQ data, geolocation techniques (DF/beamforming), and signal characterization Ability to obtain and maintain a Top Secret/SCI security clearance. Preferred Qualifications: Experience with the Atlassian tool suite (Jira, Confluence, Bitbucket) Practical experience or coursework in programming languages such as C++, Rust, or Python. Experience with simulating and processing RF communications in GNU Radio. Agile/DevOps: Experience in Agile software development and containerization tools like Docker or Kubernetes for deploying SIGINT applications GPU Acceleration: Demonstrated experience with CUDA for algorithm optimization Active TS with SCI clearance What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Primary Level Salary Range: $114,000.00 - $171,000.00Secondary Level Salary Range: $142,200.00 - $213,400.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: SCITRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Mission Systems is seeking a Principal Systems Engineer or a Sr Principal Systems Engineer with a Signal Processing background to work in Sacramento, California. Join a team that develops transformative signal processing solutions to solve complex challenges in Signals Intelligence (SIGINT). Your work will contribute to real-world national security initiatives. We offer a wide variety of professional development opportunities, mentorship by senior engineers, and access to cutting-edge tools and technologies like Ultra-Wideband (UWB) Software-Defined Radios (SDRs) and Graphics Processing Units (GPUs) for deployment of advanced signal processing algorithms. The engineer will be expected to have a basic understanding of core communications systems engineering concepts from their electrical engineering degree to perform analysis, devise requirements for and implement the signal processing algorithms. Responsibilities: Perform architecture trades, design analysis, and performance modeling Provide engineering support for hardware development efforts. Design detection and characterization algorithms for Radio Frequency communication signals Implement detection and characterization algorithms Test signal processing algorithms and receivers in a lab environment. Design, test, and produce detection, characterization, and geolocation algorithms. Support the deployment of core products on new platforms (e.g., manned aircraft, drones, ships, etc.). This position can be filled at the level 3 Principal or Level 4 Senior Principal based on specific requirements listed below. Basic Qualifications for Principal Systems Engineer Level 3: BS degree in STEM with 5 years relevant experience; or MS degree in STEM field with 3 years of related experience; or PhD in STEM field with 1 year of related experience Domain Expertise: Understanding tactical SIGINT operations, military capabilities, and geolocation concepts. Requirements Translation: Ability to convert complex operational needs into technical system requirements DSP Fundamentals: Understanding of modulation/demodulation, FFT/spectral analysis, filtering (FIR/IIR), resampling, channelization, and detection/estimation theory. SIGINT/RF Fundamentals: Experience with Software Defined Radios (SDR), RF front-ends, IQ data, geolocation techniques (DF/beamforming), and signal characterization Ability to obtain and maintain a Top Secret/SCI security clearance Basic Qualifications for Sr Principal Systems Engineer Level 4: BS in STEM degree with 8 years relevant experience; or MS degree in a STEM field with 6 years of related experience; or PhD in STEM field with 3 years of related experience Domain Expertise: Understanding tactical SIGINT operations, military capabilities, and geolocation concepts. Requirements Translation: Ability to convert complex operational needs into technical system requirements DSP Fundamentals: Understanding of modulation/demodulation, FFT/spectral analysis, filtering (FIR/IIR), resampling, channelization, and detection/estimation theory. SIGINT/RF Expertise: Experience with Software Defined Radios (SDR), RF front-ends, IQ data, geolocation techniques (DF/beamforming), and signal characterization Ability to obtain and maintain a Top Secret/SCI security clearance. Preferred Qualifications: Experience with the Atlassian tool suite (Jira, Confluence, Bitbucket) Practical experience or coursework in programming languages such as C++, Rust, or Python. Experience with simulating and processing RF communications in GNU Radio. Agile/DevOps: Experience in Agile software development and containerization tools like Docker or Kubernetes for deploying SIGINT applications GPU Acceleration: Demonstrated experience with CUDA for algorithm optimization Active TS with SCI clearance What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Primary Level Salary Range: $114,000.00 - $171,000.00Secondary Level Salary Range: $142,200.00 - $213,400.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Lead AI Engineer
KeyBank Brooklyn, Ohio
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Lead AI Engineer
KeyBank Atlanta, Georgia
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Lead AI Engineer
KeyBank Amherst, New York
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Lead AI Engineer
KeyBank Columbus, Ohio
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Lead AI Engineer
KeyBank Pittsburgh, Pennsylvania
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Lead AI Engineer
KeyBank Chicago, Illinois
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Lead AI Engineer
KeyBank Charlotte, North Carolina
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Lead AI Engineer
KeyBank Albany, New York
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Lead AI Engineer
KeyBank New York, New York
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Lead AI Engineer
KeyBank Buffalo, New York
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Principal Product Manager, Mobile
ButterflyMX Remote, Oregon
Our Mission ButterflyMX is on a mission to empower people to automate property access, operations, and security from a single platform. Our products are installed in more than 23,000+ multifamily, commercial, gated communities, and student-housing properties worldwide, including properties developed, owned, and managed by the most trusted names in real estate. Our features are designed for developers, owners, property managers, and tenants and our products lower operating costs and improve tenant satisfaction. Our Solution Developers and owners no longer need to run building wiring or install in-unit hardware. Property managers can grant building access, revoke permissions, and review entry logs from an online dashboard. Residents can open doors from their smartphones, issue visitor access, and see who is trying to enter the building. Our Culture & Values Fantastic people are the key to our success. As a distributed, primarily remote workforce, we're looking for more intelligent, passionate, collaborative, AI-forward, and down-to-earth individuals to join our growing team. We're driven by a shared commitment to excellence and innovation, grounded in our core values: We delight our customers, We take ownership, We are a community of collaborators, We speak up, We think big and do small, and We are tenacious. Role Overview ButterflyMX is hiring for a Principal PM to lead the mobile product experience for a new and growing area of our business. You'll own the mobile experience for this new surface area while solving the needs of property managers and operators who are part of the same ecosystem. This is a role for someone who can hit the ground running with existing momentum and still bring the curiosity and rigor to challenge what we think we know. Responsibilities Own the product roadmap for this new area: evaluate what we've scoped, stress-test the assumptions, and evolve the plan based on what you learn Conduct rigorous discovery by getting close to end users and operators, sharpening the problem definition while iterating with Design and Engineering on the solution Embed AI into the product where it creates genuine value, not as a feature checkbox but as a lever for better experiences and smarter operations Make smart calls about what we build versus partner versus white-label Establish the metrics that matter and hold yourself accountable to them Requirements 7+ years in product management with a track record of owning products from concept to market Mobile-first instincts: you think in mobile experiences natively, understand what makes a consumer app sticky, and have shipped products people use on their phones Comfort with ambiguity and early-stage product challenges: you can operate with a partial playbook, fill in the gaps, and make confident decisions with incomplete information Strong discovery discipline: you know how to get close to customers, synthesize qualitative signal, and translate it into a clear product direction AI-native thinking: you approach product problems by asking how intelligent systems can improve the experience, not by adding AI as an afterthought. You stay current on what the technology can actually do, and you bring that knowledge into discovery, design, and prioritization conversations A builder's mindset: you don't just write specs and hand them off. You prototype, tinker, use the tools available to you today to explore ideas quickly, and you close the loop between what you ask engineering to build and how it actually works Sharp communication skills: you can influence across engineering, design, go-to-market, and leadership by writing well, presenting clearly, and earning trust without authority Bonus if you have at least one Experience in proptech, multifamily real estate, or property operations Experience building consumer mobile apps with meaningful engagement, retention, or marketplace dynamics Experience navigating third-party integrations or white-label partnerships as part of a product strategy Background in platforms where the end user and the buyer are different people: you understand that tension and know how to build for both Compensation The expected base salary range for this position is $200,000-$240,000. Actual compensation will depend on factors including budget, skills, experience, location, and internal equity. This position may also be eligible for bonuses, equity, or other forms of compensation, where applicable. Benefits Comprehensive Medical (ButterflyMX covers 90% of the cost), Dental, and Vision plans (ButterflyMX covers 100% of the cost) starting day 1 401(k) plan with a match 13 paid holidays, 25 PTO days Paid Family Leave Employee Assistance Program Quarterly self-care stipends Access to optional benefits including pre-tax flexible healthcare spending accounts (FSA and HSA), Dependent Care FSA, and Commuter Benefits, as well as optional Supplemental Life, AD&D, Hospital Indemnity, Disability, Legal, Accident, Critical Illness, Pet, and Personal Liability Insurance And more! ButterflyMX is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. You must have the authorization to work in the US to become an employee. We strive to create an accessible and inclusive experience for all candidates and employees. If you need reasonable accommodations during the application or the recruiting process, please let our recruiting team know.
09/23/2026
Full time
Our Mission ButterflyMX is on a mission to empower people to automate property access, operations, and security from a single platform. Our products are installed in more than 23,000+ multifamily, commercial, gated communities, and student-housing properties worldwide, including properties developed, owned, and managed by the most trusted names in real estate. Our features are designed for developers, owners, property managers, and tenants and our products lower operating costs and improve tenant satisfaction. Our Solution Developers and owners no longer need to run building wiring or install in-unit hardware. Property managers can grant building access, revoke permissions, and review entry logs from an online dashboard. Residents can open doors from their smartphones, issue visitor access, and see who is trying to enter the building. Our Culture & Values Fantastic people are the key to our success. As a distributed, primarily remote workforce, we're looking for more intelligent, passionate, collaborative, AI-forward, and down-to-earth individuals to join our growing team. We're driven by a shared commitment to excellence and innovation, grounded in our core values: We delight our customers, We take ownership, We are a community of collaborators, We speak up, We think big and do small, and We are tenacious. Role Overview ButterflyMX is hiring for a Principal PM to lead the mobile product experience for a new and growing area of our business. You'll own the mobile experience for this new surface area while solving the needs of property managers and operators who are part of the same ecosystem. This is a role for someone who can hit the ground running with existing momentum and still bring the curiosity and rigor to challenge what we think we know. Responsibilities Own the product roadmap for this new area: evaluate what we've scoped, stress-test the assumptions, and evolve the plan based on what you learn Conduct rigorous discovery by getting close to end users and operators, sharpening the problem definition while iterating with Design and Engineering on the solution Embed AI into the product where it creates genuine value, not as a feature checkbox but as a lever for better experiences and smarter operations Make smart calls about what we build versus partner versus white-label Establish the metrics that matter and hold yourself accountable to them Requirements 7+ years in product management with a track record of owning products from concept to market Mobile-first instincts: you think in mobile experiences natively, understand what makes a consumer app sticky, and have shipped products people use on their phones Comfort with ambiguity and early-stage product challenges: you can operate with a partial playbook, fill in the gaps, and make confident decisions with incomplete information Strong discovery discipline: you know how to get close to customers, synthesize qualitative signal, and translate it into a clear product direction AI-native thinking: you approach product problems by asking how intelligent systems can improve the experience, not by adding AI as an afterthought. You stay current on what the technology can actually do, and you bring that knowledge into discovery, design, and prioritization conversations A builder's mindset: you don't just write specs and hand them off. You prototype, tinker, use the tools available to you today to explore ideas quickly, and you close the loop between what you ask engineering to build and how it actually works Sharp communication skills: you can influence across engineering, design, go-to-market, and leadership by writing well, presenting clearly, and earning trust without authority Bonus if you have at least one Experience in proptech, multifamily real estate, or property operations Experience building consumer mobile apps with meaningful engagement, retention, or marketplace dynamics Experience navigating third-party integrations or white-label partnerships as part of a product strategy Background in platforms where the end user and the buyer are different people: you understand that tension and know how to build for both Compensation The expected base salary range for this position is $200,000-$240,000. Actual compensation will depend on factors including budget, skills, experience, location, and internal equity. This position may also be eligible for bonuses, equity, or other forms of compensation, where applicable. Benefits Comprehensive Medical (ButterflyMX covers 90% of the cost), Dental, and Vision plans (ButterflyMX covers 100% of the cost) starting day 1 401(k) plan with a match 13 paid holidays, 25 PTO days Paid Family Leave Employee Assistance Program Quarterly self-care stipends Access to optional benefits including pre-tax flexible healthcare spending accounts (FSA and HSA), Dependent Care FSA, and Commuter Benefits, as well as optional Supplemental Life, AD&D, Hospital Indemnity, Disability, Legal, Accident, Critical Illness, Pet, and Personal Liability Insurance And more! ButterflyMX is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. You must have the authorization to work in the US to become an employee. We strive to create an accessible and inclusive experience for all candidates and employees. If you need reasonable accommodations during the application or the recruiting process, please let our recruiting team know.
Principal Software Engineer
Blitzy Cambridge, Massachusetts
Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups. Our Culture Who we are: Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500. How we work: We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally. Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission. Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration. We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships. About the Role We are hiring a Principal Engineer to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today. This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code. This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions - not people management or process. Responsibilities Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence. Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value. Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform. Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity. Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance. Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval. Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed. Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions. Qualifications Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures. Expertise in REST and gRPC, with proficiency in Node.js and JavaScript. Proficiency in AWS, along with experience using at least one additional cloud platform such as GCP or Azure. Advanced knowledge of Kubernetes and Terraform in production environments. Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling. Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB. Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval. Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis. Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus. Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems. Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability. Proven track record of operating at Staff+, Principal Engineer, or comparable scope, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision. Salary Range: $300,000 - $500,000 + Bonus + Equity Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger. Base salary ranges are determined by country, role, level, experience, and skills. The range displayed on each job posting reflects Blitzy's good faith determination of the minimum and maximum targets for new hire salaries across all US locations. Individual pay is determined by related factors, including job skills, experience, and relevant education or training, which may impact a final offer. Your Talent Partner can share more about the specific salary range during the hiring process.
09/23/2026
Full time
Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups. Our Culture Who we are: Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500. How we work: We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally. Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission. Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration. We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships. About the Role We are hiring a Principal Engineer to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today. This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code. This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions - not people management or process. Responsibilities Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence. Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value. Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform. Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity. Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance. Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval. Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed. Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions. Qualifications Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures. Expertise in REST and gRPC, with proficiency in Node.js and JavaScript. Proficiency in AWS, along with experience using at least one additional cloud platform such as GCP or Azure. Advanced knowledge of Kubernetes and Terraform in production environments. Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling. Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB. Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval. Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis. Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus. Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems. Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability. Proven track record of operating at Staff+, Principal Engineer, or comparable scope, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision. Salary Range: $300,000 - $500,000 + Bonus + Equity Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger. Base salary ranges are determined by country, role, level, experience, and skills. The range displayed on each job posting reflects Blitzy's good faith determination of the minimum and maximum targets for new hire salaries across all US locations. Individual pay is determined by related factors, including job skills, experience, and relevant education or training, which may impact a final offer. Your Talent Partner can share more about the specific salary range during the hiring process.
Principal Product Manager - Subscriber Lifecycle
Dow Jones New York, New York
Job Description: About the Role: As Principal Product Manager - Subscriber Lifecycle, you will own the product responsible for showing new customers the value of their subscription, building the habits that keep them engaged, and giving them compelling reasons to stay subscribed across The Wall Street Journal and other Dow Jones subscription products. You will own the in-life subscriber lifecycle end to end, from onboarding and activation through retention, save offers, upsell, and winback, across web and mobile app surfaces that reach millions of subscribers. You will lead a team of product managers and work closely with marketing, engineering, design, and subscription strategy to set direction, run experiments, and ship work that directly protects and grows recurring revenue. You will report to the VP of Product - Commerce. About the Team: Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies. You Will: Work with marketing and subscription business stakeholders to define and execute the long-term product strategy for the in-life subscriber lifecycle across web and mobile app platforms Lead and develop a team of product managers as a player-coach Own prioritization and trade-offs across a complex multi-brand, multi-surface portfolio (WSJ, Barron's, MarketWatch; web and native mobile apps), driving alignment with engineering, design, marketing, data science, and senior leadership Run a rigorous experimentation program, using A/B testing and funnel analysis to drive measurable outcomes across activation, engagement, save, and winback experiences. Own the strategy for core retention systems and tooling Exhibit strong product judgment on high-impact decisions, balancing retention and revenue goals with subscriber experience and long-term brand health You Have: At least 8 years' of product management experience with a focus on subscriber retention, engagement, subscription, or direct-to-consumer products A track record of managing and developing product managers, including hiring, coaching, and performance management Proven ability to use AI tools to improve the quality and velocity of your work, while coaching the people around you to do the same Deep expertise in experimentation and data-driven decision making Ability to engage in detailed discussions with engineering, understand subscription and messaging system architecture, and make product decisions informed by technical feasibility A track record of influencing VP-level and above stakeholders and communicating product strategy, trade-offs, and business impact to executive audiences. A strong understanding of subscriber lifecycle metrics Knowledge of digital media and subscription businesses Experience with native mobile app product and platforms such as Braze or Piano (a plus) Our Benefits Comprehensive Healthcare Plans Paid Time Off Retirement Plans Comprehensive Insurance Plans Lifestyle programs & Wellness Resources Education Benefits Family Care Benefits & Caregiving Support Commuter Transit Program Subscription Discounts Employee Referral Program Learn more about all our US benefits Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets Reasonable Accommodation We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at . Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations. Business Area: Dow Jones - Technology Job Category: Software Product Engineering Union Status: Non-Union roleBase Pay Range: $150,000 - $185,000 We're committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate's experience, skills, location, and other relevant factors. For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions. For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
09/23/2026
Full time
Job Description: About the Role: As Principal Product Manager - Subscriber Lifecycle, you will own the product responsible for showing new customers the value of their subscription, building the habits that keep them engaged, and giving them compelling reasons to stay subscribed across The Wall Street Journal and other Dow Jones subscription products. You will own the in-life subscriber lifecycle end to end, from onboarding and activation through retention, save offers, upsell, and winback, across web and mobile app surfaces that reach millions of subscribers. You will lead a team of product managers and work closely with marketing, engineering, design, and subscription strategy to set direction, run experiments, and ship work that directly protects and grows recurring revenue. You will report to the VP of Product - Commerce. About the Team: Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies. You Will: Work with marketing and subscription business stakeholders to define and execute the long-term product strategy for the in-life subscriber lifecycle across web and mobile app platforms Lead and develop a team of product managers as a player-coach Own prioritization and trade-offs across a complex multi-brand, multi-surface portfolio (WSJ, Barron's, MarketWatch; web and native mobile apps), driving alignment with engineering, design, marketing, data science, and senior leadership Run a rigorous experimentation program, using A/B testing and funnel analysis to drive measurable outcomes across activation, engagement, save, and winback experiences. Own the strategy for core retention systems and tooling Exhibit strong product judgment on high-impact decisions, balancing retention and revenue goals with subscriber experience and long-term brand health You Have: At least 8 years' of product management experience with a focus on subscriber retention, engagement, subscription, or direct-to-consumer products A track record of managing and developing product managers, including hiring, coaching, and performance management Proven ability to use AI tools to improve the quality and velocity of your work, while coaching the people around you to do the same Deep expertise in experimentation and data-driven decision making Ability to engage in detailed discussions with engineering, understand subscription and messaging system architecture, and make product decisions informed by technical feasibility A track record of influencing VP-level and above stakeholders and communicating product strategy, trade-offs, and business impact to executive audiences. A strong understanding of subscriber lifecycle metrics Knowledge of digital media and subscription businesses Experience with native mobile app product and platforms such as Braze or Piano (a plus) Our Benefits Comprehensive Healthcare Plans Paid Time Off Retirement Plans Comprehensive Insurance Plans Lifestyle programs & Wellness Resources Education Benefits Family Care Benefits & Caregiving Support Commuter Transit Program Subscription Discounts Employee Referral Program Learn more about all our US benefits Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets Reasonable Accommodation We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at . Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations. Business Area: Dow Jones - Technology Job Category: Software Product Engineering Union Status: Non-Union roleBase Pay Range: $150,000 - $185,000 We're committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate's experience, skills, location, and other relevant factors. For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions. For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
Oracle
Principal Software Engineer - OCI Planning & Capacity
Oracle Seattle, Washington
Oracle Cloud Infrastructure (OCI) is seeking a highly motivated Software Developer 4 to join the Infrastructure Planning and Capacity Management organization. This team develops the platforms, services, workflows, and operational tooling that enable Oracle to plan, source, deploy, and manage capacity across its global cloud infrastructure footprint. Our systems support critical business and engineering processes that influence billions of dollars in infrastructure investments and help drive Oracle's worldwide data center expansion. We build cloud-native services, workflow platforms, data pipelines, and analytics solutions used by engineering, operations, supply chain, finance, and executive leadership teams across OCI. As a member of this team, you will design and develop scalable cloud services and distributed systems that power infrastructure planning, capacity forecasting, deployment readiness, sourcing operations, and operational decision-making at global scale. The ideal candidate has strong software engineering fundamentals, experience building cloud-native applications, and a passion for solving complex operational challenges through automation, data, and scalable platform development. Responsibilities Responsibilities Design, develop, test, and operate cloud-native services supporting OCI infrastructure planning and capacity management. Build scalable backend services, APIs, workflow engines, and automation platforms that support business-critical operational processes. Develop and maintain distributed systems capable of processing large-scale infrastructure, operational, and planning datasets. Partner with product managers, TPMs, infrastructure teams, supply chain organizations, and business stakeholders to define and deliver technical solutions. Build data ingestion, transformation, and analytics pipelines that improve forecasting accuracy and operational visibility. Contribute to system architecture, technical design reviews, and engineering best practices. Drive operational excellence through monitoring, observability, reliability improvements, and automation. Participate in on-call rotations and production support activities as required. Identify opportunities to simplify workflows, improve operational efficiency, and reduce manual effort through software solutions. Collaborate across OCI organizations to integrate with infrastructure, inventory, planning, and capacity management systems. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field. 7+ years of professional software development experience. Strong programming skills in Java, Python, Go, C#, or similar modern programming languages. Experience designing and building cloud-native services and APIs. Experience developing applications deployed within cloud environments. Strong understanding of software engineering fundamentals, data structures, algorithms, and system design. Experience working with relational and/or distributed databases. Familiarity with modern development practices including CI/CD, automated testing, source control, and observability. Strong problem-solving, debugging, and analytical skills. Excellent written and verbal communication skills. Preferred Qualifications Experience building distributed systems and highly scalable backend services. Experience with data engineering, data pipelines, ETL workflows, streaming platforms, or large-scale analytics systems. Familiarity with infrastructure planning, capacity management, data center operations, hardware lifecycle management, or supply chain workflows. Experience working within cloud infrastructure organizations such as OCI, AWS, Azure, or Google Cloud. Experience developing workflow orchestration, business process automation, or operational management systems. Familiarity with Oracle APEX development and low-code application frameworks. Experience with Kubernetes, containerized applications, and microservice architectures. Experience with data warehousing, forecasting systems, or operational analytics platforms. Knowledge of cloud infrastructure concepts including compute, storage, networking, and capacity planning. Experience working with large-scale enterprise systems and highly cross-functional stakeholder environments. What You'll Build You will help develop the next generation of OCI planning and capacity management platforms, including: Capacity forecasting and planning services Infrastructure sourcing and deployment workflows Data pipelines and operational analytics platforms Executive reporting and operational visibility systems Process automation and workflow orchestration services Cloud-native platforms supporting OCI's global infrastructure growth Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/23/2026
Full time
Oracle Cloud Infrastructure (OCI) is seeking a highly motivated Software Developer 4 to join the Infrastructure Planning and Capacity Management organization. This team develops the platforms, services, workflows, and operational tooling that enable Oracle to plan, source, deploy, and manage capacity across its global cloud infrastructure footprint. Our systems support critical business and engineering processes that influence billions of dollars in infrastructure investments and help drive Oracle's worldwide data center expansion. We build cloud-native services, workflow platforms, data pipelines, and analytics solutions used by engineering, operations, supply chain, finance, and executive leadership teams across OCI. As a member of this team, you will design and develop scalable cloud services and distributed systems that power infrastructure planning, capacity forecasting, deployment readiness, sourcing operations, and operational decision-making at global scale. The ideal candidate has strong software engineering fundamentals, experience building cloud-native applications, and a passion for solving complex operational challenges through automation, data, and scalable platform development. Responsibilities Responsibilities Design, develop, test, and operate cloud-native services supporting OCI infrastructure planning and capacity management. Build scalable backend services, APIs, workflow engines, and automation platforms that support business-critical operational processes. Develop and maintain distributed systems capable of processing large-scale infrastructure, operational, and planning datasets. Partner with product managers, TPMs, infrastructure teams, supply chain organizations, and business stakeholders to define and deliver technical solutions. Build data ingestion, transformation, and analytics pipelines that improve forecasting accuracy and operational visibility. Contribute to system architecture, technical design reviews, and engineering best practices. Drive operational excellence through monitoring, observability, reliability improvements, and automation. Participate in on-call rotations and production support activities as required. Identify opportunities to simplify workflows, improve operational efficiency, and reduce manual effort through software solutions. Collaborate across OCI organizations to integrate with infrastructure, inventory, planning, and capacity management systems. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field. 7+ years of professional software development experience. Strong programming skills in Java, Python, Go, C#, or similar modern programming languages. Experience designing and building cloud-native services and APIs. Experience developing applications deployed within cloud environments. Strong understanding of software engineering fundamentals, data structures, algorithms, and system design. Experience working with relational and/or distributed databases. Familiarity with modern development practices including CI/CD, automated testing, source control, and observability. Strong problem-solving, debugging, and analytical skills. Excellent written and verbal communication skills. Preferred Qualifications Experience building distributed systems and highly scalable backend services. Experience with data engineering, data pipelines, ETL workflows, streaming platforms, or large-scale analytics systems. Familiarity with infrastructure planning, capacity management, data center operations, hardware lifecycle management, or supply chain workflows. Experience working within cloud infrastructure organizations such as OCI, AWS, Azure, or Google Cloud. Experience developing workflow orchestration, business process automation, or operational management systems. Familiarity with Oracle APEX development and low-code application frameworks. Experience with Kubernetes, containerized applications, and microservice architectures. Experience with data warehousing, forecasting systems, or operational analytics platforms. Knowledge of cloud infrastructure concepts including compute, storage, networking, and capacity planning. Experience working with large-scale enterprise systems and highly cross-functional stakeholder environments. What You'll Build You will help develop the next generation of OCI planning and capacity management platforms, including: Capacity forecasting and planning services Infrastructure sourcing and deployment workflows Data pipelines and operational analytics platforms Executive reporting and operational visibility systems Process automation and workflow orchestration services Cloud-native platforms supporting OCI's global infrastructure growth Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Northrop Grumman
Software Engineer/Principal Software Engineer
Northrop Grumman
RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: Top SecretTRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated and, multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. What You'll Get To Do: Synthesize software requirements into verification requirements, software test objectives, success criteria, and required resources for software and system level tests and demonstrations. Support the development of software requirements and detailed integration software test plans, procedures, test readiness reviews (TRRs), test data and test reports. Execution of software qualification and acceptance testing per those requirements, plans and procedures. Participate in internal and customer software test planning working groups. Design, develop, and implement testing methods and equipment specific to software. Collaborate with systems engineers, software development engineers and other stakeholders involved in the testing process. Review software test plans, procedures, and reports, witness testing as the Cognizant Engineer Participate in technical exchange meetings, interfacing with customers (internal/external) and contributing to a broad range of program deliverables. This position can be filled as a Software Engineer or a Principal Software Engineer. Basic Qualifications for Software Engineer: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline from an accredited university and 2 years of related experience, or a Master's Degree in a STEM discipline and 0 years of related experience Must be a US Citizen in order to meet the security clearance requirement Must have the ability to obtain and maintain a Top Secret security clearance within a reasonable period of time as determined by the company Experience with Agile, Git, GitLab, or Bitbucket and working in cross-functional Scrum team Experience in software development using languages such as C/C++, Python, Java, Docker Basic Qualifications for Principal Software Engineer: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline from an accredited university and 5 years of related experience, or a Master's Degree in a STEM discipline and 3 years of related experience Must be a US Citizen in order to meet the security clearance requirement Must have the ability to obtain and maintain a Top Secret security clearance within a reasonable period of time as determined by the company Experience with Agile, Git, GitLab, or Bitbucket and working in cross-functional Scrum team Experience in software development using languages such as C/C++, Python, Java, Docker Preferred Qualifications: Current and active Top Secret security clearance with an investigation completed within the last 6 years. Experience in Deliverables Management Experience with Software Testing Experience in Software Test Planning Hands-on design, deployment, and dynamic management of containerized systems Experience with Kubernetes (K8s, k3s) and cloud-native OS environments Experience with modern software factories and DevOps/DevSecOps practices Familiarity with Atlassian and CI/CD tools: Bitbucket, JIRA, Jenkins, Confluence Advanced scripting in Python, Linux Bash, and related languages Linux/UNIX experience in production environments Practical experience working in Agile and DevOps teams What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Primary Level Salary Range: $91,800.00 - $137,600.00Secondary Level Salary Range: $114,000.00 - $171,000.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: Top SecretTRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated and, multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. What You'll Get To Do: Synthesize software requirements into verification requirements, software test objectives, success criteria, and required resources for software and system level tests and demonstrations. Support the development of software requirements and detailed integration software test plans, procedures, test readiness reviews (TRRs), test data and test reports. Execution of software qualification and acceptance testing per those requirements, plans and procedures. Participate in internal and customer software test planning working groups. Design, develop, and implement testing methods and equipment specific to software. Collaborate with systems engineers, software development engineers and other stakeholders involved in the testing process. Review software test plans, procedures, and reports, witness testing as the Cognizant Engineer Participate in technical exchange meetings, interfacing with customers (internal/external) and contributing to a broad range of program deliverables. This position can be filled as a Software Engineer or a Principal Software Engineer. Basic Qualifications for Software Engineer: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline from an accredited university and 2 years of related experience, or a Master's Degree in a STEM discipline and 0 years of related experience Must be a US Citizen in order to meet the security clearance requirement Must have the ability to obtain and maintain a Top Secret security clearance within a reasonable period of time as determined by the company Experience with Agile, Git, GitLab, or Bitbucket and working in cross-functional Scrum team Experience in software development using languages such as C/C++, Python, Java, Docker Basic Qualifications for Principal Software Engineer: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline from an accredited university and 5 years of related experience, or a Master's Degree in a STEM discipline and 3 years of related experience Must be a US Citizen in order to meet the security clearance requirement Must have the ability to obtain and maintain a Top Secret security clearance within a reasonable period of time as determined by the company Experience with Agile, Git, GitLab, or Bitbucket and working in cross-functional Scrum team Experience in software development using languages such as C/C++, Python, Java, Docker Preferred Qualifications: Current and active Top Secret security clearance with an investigation completed within the last 6 years. Experience in Deliverables Management Experience with Software Testing Experience in Software Test Planning Hands-on design, deployment, and dynamic management of containerized systems Experience with Kubernetes (K8s, k3s) and cloud-native OS environments Experience with modern software factories and DevOps/DevSecOps practices Familiarity with Atlassian and CI/CD tools: Bitbucket, JIRA, Jenkins, Confluence Advanced scripting in Python, Linux Bash, and related languages Linux/UNIX experience in production environments Practical experience working in Agile and DevOps teams What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Primary Level Salary Range: $91,800.00 - $137,600.00Secondary Level Salary Range: $114,000.00 - $171,000.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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