Yoh, A Day & Zimmermann Company
New York, New York
Job Description Job Title: AI Infrastructure Support Engineer Location: New York, NY Type - Hybrid 4 days Onsite Terms; Full Time Salary- $140000/yr - $170000/yr Our client provides a range of financial products and services in the United States and internationally. It operates through Securities Services, Market and Wealth Services, Investment and Wealth Management, and Other segments. The Securities Services segment offers custody, trust and depositary, accounting, exchange-traded funds, middle-office solutions, transfer agency, services for private equity and real estate funds, foreign exchange, securities lending, liquidity/lending services, and data analytics. In this role, you'll make an impact in the following ways: Deliver operational support and drive issue resolution for AI infrastructure, GPU platforms, and associated production services. Support the deployment, orchestration, and monitoring of AI/ML workloads across distributed environments using Kubernetes and Docker. Apply hands-on expertise with NVIDIA GPU infrastructure, including A100, H100, and B200 nodes, to support provisioning, utilization, performance tuning, and ongoing platform operations. Build, maintain, and optimize automation scripts and tooling using Ansible, Python and Shell scripting to improve efficiency and reliability. Manage incidents, service requests, and change activity through enterprise workflow and ticketing platforms such as JIRA and ServiceNow. Partner with cross-functional teams across engineering, platform, and operations to implement DevOps best practices, including CI/CD using GitLab, containerized deployment models, and secure access management through Azure AD. Create and maintain clear technical documentation, including runbooks, standard operating procedures, support guides, and infrastructure architecture artifacts. Diagnose and resolve networking, storage, and system performance issues affecting AI infrastructure and high-performance compute workloads. Participate in a rotating on-call support model, including occasional weekend coverage, to help maintain high availability and operational excellence. To be successful in this role, we're seeking the following: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. Strong experience supporting AI infrastructure, GPU platforms, or high-performance compute environments in enterprise or production settings. Hands-on experience working with NVIDIA GPU nodes, including A100, H100, and B200 systems. Solid understanding of Kubernetes and Docker for deploying, managing, and troubleshooting distributed workloads. Proficiency in Ansible, Python and Shell scripting for automation, tooling, and operational support tasks. Experience with DevOps practices and tools, including GitLab CI/CD, infrastructure automation, and container-based delivery models. Familiarity with enterprise ticketing and service management platforms such as JIRA and ServiceNow. Good knowledge of networking, storage, Linux systems administration, and infrastructure troubleshooting in complex technical environments. Understanding of identity and access management, including secure access controls such as Azure AD. Strong problem-solving skills, attention to detail, and the ability to manage multiple priorities in a fast-paced environment. Effective written and verbal communication skills, with the ability to document processes and collaborate across technical and non-technical teams. Willingness to participate in on-call rotations and provide occasional weekend support as needed. Estimated Min Rate : $140000.00 Estimated Max Rate : $170000.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
11/14/2026
Full time
Job Description Job Title: AI Infrastructure Support Engineer Location: New York, NY Type - Hybrid 4 days Onsite Terms; Full Time Salary- $140000/yr - $170000/yr Our client provides a range of financial products and services in the United States and internationally. It operates through Securities Services, Market and Wealth Services, Investment and Wealth Management, and Other segments. The Securities Services segment offers custody, trust and depositary, accounting, exchange-traded funds, middle-office solutions, transfer agency, services for private equity and real estate funds, foreign exchange, securities lending, liquidity/lending services, and data analytics. In this role, you'll make an impact in the following ways: Deliver operational support and drive issue resolution for AI infrastructure, GPU platforms, and associated production services. Support the deployment, orchestration, and monitoring of AI/ML workloads across distributed environments using Kubernetes and Docker. Apply hands-on expertise with NVIDIA GPU infrastructure, including A100, H100, and B200 nodes, to support provisioning, utilization, performance tuning, and ongoing platform operations. Build, maintain, and optimize automation scripts and tooling using Ansible, Python and Shell scripting to improve efficiency and reliability. Manage incidents, service requests, and change activity through enterprise workflow and ticketing platforms such as JIRA and ServiceNow. Partner with cross-functional teams across engineering, platform, and operations to implement DevOps best practices, including CI/CD using GitLab, containerized deployment models, and secure access management through Azure AD. Create and maintain clear technical documentation, including runbooks, standard operating procedures, support guides, and infrastructure architecture artifacts. Diagnose and resolve networking, storage, and system performance issues affecting AI infrastructure and high-performance compute workloads. Participate in a rotating on-call support model, including occasional weekend coverage, to help maintain high availability and operational excellence. To be successful in this role, we're seeking the following: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. Strong experience supporting AI infrastructure, GPU platforms, or high-performance compute environments in enterprise or production settings. Hands-on experience working with NVIDIA GPU nodes, including A100, H100, and B200 systems. Solid understanding of Kubernetes and Docker for deploying, managing, and troubleshooting distributed workloads. Proficiency in Ansible, Python and Shell scripting for automation, tooling, and operational support tasks. Experience with DevOps practices and tools, including GitLab CI/CD, infrastructure automation, and container-based delivery models. Familiarity with enterprise ticketing and service management platforms such as JIRA and ServiceNow. Good knowledge of networking, storage, Linux systems administration, and infrastructure troubleshooting in complex technical environments. Understanding of identity and access management, including secure access controls such as Azure AD. Strong problem-solving skills, attention to detail, and the ability to manage multiple priorities in a fast-paced environment. Effective written and verbal communication skills, with the ability to document processes and collaborate across technical and non-technical teams. Willingness to participate in on-call rotations and provide occasional weekend support as needed. Estimated Min Rate : $140000.00 Estimated Max Rate : $170000.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
11/14/2026
Full time
Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 The Team: The Product Operations team drives operational excellence and strategic execution across S&P Global's Geoscience, Engineering and Upstream Data Science software portfolio, serving subsurface professionals worldwide with industry-leading platforms. Operating at the intersection of Product, Technology, Commercial, and Customer Success functions, the team values data-driven decision making, cross-functional collaboration, and customer-centric innovation. This highly visible team plays a critical role in the company's SaaS transformation journey while maintaining our position with the leadingas the trusted partner for energy industry professionals globally. Responsibilities and Impact: Product Portfolio Operations & Performance: Design and implement best-in-class operating cadence across the $100M+ software portfolio, including standardized development workflows, release governance, and comprehensive performance frameworks tracking ACV, ARR, NRR, churn, and feature-level ROI to guide executive decision-making Cross-Functional Alignment & Strategic Execution: Serve as the connective tissue between Product, Engineering, Commercial, and Customer Success teams, leading quarterly business reviews, driving accountability against portfolio OKRs, and ensuring alignment between product roadmaps, commercial timelines, and go-to-market execution SaaS Transformation Leadership: Support the critical transition from legacy desktop software to cloud-native SaaS platforms, partnering with Product Management and Engineering on release velocity, usage-based pricing models, platform scalability, and operational readiness for new platform launches Customer-Centric Feedback Integration: Create structured mechanisms to capture and prioritize insights from Technical Advisors, Customer Support, and Commercial teams, translating feedback into actionable product improvements that enhance customer experience, retention, and drive product-led growth initiatives Go-to-Market & Commercial Enablement: Operationalize product launches across global markets, ensure strong alignment between product positioning, pricing, and packaging strategies, and support deal qualification frameworks while enabling expansion into underpenetrated markets AI/Analytics Integration & Innovation: Drive scalable AI and advanced analytics integration across the multi-product portfolio, supporting data-driven product investment decisions and enabling next-generation capabilities for subsurface professionals worldwide What We're Looking For: Basic Required Qualifications: 8+ years of experience in Product Operations, Product Management, Strategy, or Business Operations roles Proven experience in enterprise software or SaaS environments with demonstrated ability to operate effectively in complex, cross-functional organizations spanning Product, Engineering, and Commercial teams Strong analytical and financial acumen, including expertise with SaaS metrics such as ACV, ARR, NRR, churn analysis, and unit economics to drive data-driven decision making Experience building and implementing operating models, executive dashboards, performance frameworks, and execution processes that drive organizational alignment and accountability Exceptional communication and presentation skills with executive-level presence, including ability to facilitate cross-functional meetings, lead quarterly business reviews, and influence stakeholders at all levels Experience with product portfolio management and go-to-market operations, including product launches, release governance, and commercial enablement activities Bachelor's degree in Business, Engineering, Computer Science, or related field, with Additional Preferred Qualifications: Experience in energy, geoscience, or engineering software markets with familiarity of subsurface workflows such as seismic interpretation, reservoir modeling, or production optimization Proven track record supporting desktop-to-SaaS platform transformations, including migration strategies, cloud-native architecture considerations, and change management for technical user bases Exposure to AI/ML-enabled products, advanced analytics platforms, or data science applications, particularly in technical or scientific software environments Background working with global teams and international customers, including experience with market expansion strategies and cross-cultural stakeholder management Compensation/Benefits Information: (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $110,000 to $149,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . Right to Work Requirements: This role is limited to persons with an indefinite right to work in the United States About S&P Global Energy At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 The Team: The Product Operations team drives operational excellence and strategic execution across S&P Global's Geoscience, Engineering and Upstream Data Science software portfolio, serving subsurface professionals worldwide with industry-leading platforms. Operating at the intersection of Product, Technology, Commercial, and Customer Success functions, the team values data-driven decision making, cross-functional collaboration, and customer-centric innovation. This highly visible team plays a critical role in the company's SaaS transformation journey while maintaining our position with the leadingas the trusted partner for energy industry professionals globally. Responsibilities and Impact: Product Portfolio Operations & Performance: Design and implement best-in-class operating cadence across the $100M+ software portfolio, including standardized development workflows, release governance, and comprehensive performance frameworks tracking ACV, ARR, NRR, churn, and feature-level ROI to guide executive decision-making Cross-Functional Alignment & Strategic Execution: Serve as the connective tissue between Product, Engineering, Commercial, and Customer Success teams, leading quarterly business reviews, driving accountability against portfolio OKRs, and ensuring alignment between product roadmaps, commercial timelines, and go-to-market execution SaaS Transformation Leadership: Support the critical transition from legacy desktop software to cloud-native SaaS platforms, partnering with Product Management and Engineering on release velocity, usage-based pricing models, platform scalability, and operational readiness for new platform launches Customer-Centric Feedback Integration: Create structured mechanisms to capture and prioritize insights from Technical Advisors, Customer Support, and Commercial teams, translating feedback into actionable product improvements that enhance customer experience, retention, and drive product-led growth initiatives Go-to-Market & Commercial Enablement: Operationalize product launches across global markets, ensure strong alignment between product positioning, pricing, and packaging strategies, and support deal qualification frameworks while enabling expansion into underpenetrated markets AI/Analytics Integration & Innovation: Drive scalable AI and advanced analytics integration across the multi-product portfolio, supporting data-driven product investment decisions and enabling next-generation capabilities for subsurface professionals worldwide What We're Looking For: Basic Required Qualifications: 8+ years of experience in Product Operations, Product Management, Strategy, or Business Operations roles Proven experience in enterprise software or SaaS environments with demonstrated ability to operate effectively in complex, cross-functional organizations spanning Product, Engineering, and Commercial teams Strong analytical and financial acumen, including expertise with SaaS metrics such as ACV, ARR, NRR, churn analysis, and unit economics to drive data-driven decision making Experience building and implementing operating models, executive dashboards, performance frameworks, and execution processes that drive organizational alignment and accountability Exceptional communication and presentation skills with executive-level presence, including ability to facilitate cross-functional meetings, lead quarterly business reviews, and influence stakeholders at all levels Experience with product portfolio management and go-to-market operations, including product launches, release governance, and commercial enablement activities Bachelor's degree in Business, Engineering, Computer Science, or related field, with Additional Preferred Qualifications: Experience in energy, geoscience, or engineering software markets with familiarity of subsurface workflows such as seismic interpretation, reservoir modeling, or production optimization Proven track record supporting desktop-to-SaaS platform transformations, including migration strategies, cloud-native architecture considerations, and change management for technical user bases Exposure to AI/ML-enabled products, advanced analytics platforms, or data science applications, particularly in technical or scientific software environments Background working with global teams and international customers, including experience with market expansion strategies and cross-cultural stakeholder management Compensation/Benefits Information: (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $110,000 to $149,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . Right to Work Requirements: This role is limited to persons with an indefinite right to work in the United States About S&P Global Energy At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment . click apply for full job details
Job Description Job Description Principal GNC Engineer Location: Playa Vista, California (in-person, five days per week) The return lane isn't going to build itself. Come build it with us. Outpost is an orbital logistics company rewriting the rules of global logistics by building reusable Earth-return vehicles that unlock in-space manufacturing, on-orbit warehousing, and 60-minute global delivery through space. Our CarryAll vehicle family returns payloads ranging from 200 kilograms to 10 metric tons, lands within 10 meters of its target, and can then be refurbished and launched again. One vehicle, many missions: responsive logistics and precision delivery for national security; commercial cargo moved with real cadence; R&D payloads flown, tested, and refined across repeatable cycles; and critical aid delivered where roads and runways can't reach. The demand is already here, validated through defense and civil agreements and supported by a growing pipeline of government and commercial customers. We have the customers, the team, and a clear technical path ahead of us. We're building the return lane. Come build it with us The Role Outpost is building vehicles that bring things back from space. Getting mass from orbit to a precise point on the ground is a GNC problem end to end: a deorbit burn that has to hit an entry corridor, a hypersonic entry that has to bleed energy inside structural and thermal limits, and a guided descent that has to land on a target, repeatably, and cheaply enough to do it often. We're hiring a Principal GNC Engineer to own that chain. This is not a role where you hand algorithms over a wall. You'll design the guidance and estimation architecture, write the flight code, put it on hardware, sit through the HIL runs, go out to the drop tests and flight campaigns, and come back with data that changes the design. If you want to see your controller fly within months rather than years, this is that job. Basic Qualifications: Bachelor's degree in a related technical discipline with 5+ years as a GNC or Controls professional or Advanced degree with 3+ years as a GNC or Controls professional Software development experience in C++ and Python. Experience in software tools such as Git, Jira, and CI Pipeline Algorithms on real hardware (e.g. Extended Kalman Filters, LQR) Strong understanding of classical dynamics, modeling and simulation, classical and modern control. Ability to work in a fast paced, autonomously driven atmosphere. Passion for space and the application of advanced estimation and control techniques in this domain Additional Qualifications: Experience with implementing optimal control for burn planning Experience with satellite maneuvering and thruster systems Demonstrated project or professional experience in satellite attitude determination and control Experience in end-to-end development of three axis stabilized spacecraft incorporating momentum, magnetic, and/or propulsive control. Experience with flexible body control, orbital maneuvering, filtering, fault management, software development, and navigation filtering. Responsibilities: Modeling, design, analysis, implementation and test of satellite attitude determination and control (ADCS) algorithms. Hardware performance specification including reaction wheel and torque rod sizing, sensor noise and performance, characteristics, redundancy and fault management. Define and own ADCS requirements definition with electrical and mechanical engineers Implement closed loop pointing, orbit raising, and station keeping algorithms for flight. Analyze platform stability to ensure low jitter of line-of-sight instruments. Develop high fidelity 6 degree of freedom satellite simulations using Python, Matlab or C++. Develop entry guidance, entry corridor and reachability analysis, deorbit burn targeting, aerothermal and load-constrained trajectory shaping. Develop EKF and UKF with GNSS, IMU, air data, radar or laser altimetry, magnetometers, and optical or terrain-relative sensors; sensor error modeling and calibration; GNSS-denied or degraded navigation, including through plasma blackout. Implement control of aerodynamically unstable or marginally stable vehicles, gain scheduling and robust control across wide Mach and dynamic pressure ranges, actuator and effector allocation, autonomous mode sequencing and abort logic. Support flight test campaigns at test sites - test planning, instrumentation requirements, real-time support, and flight data reconstruction. Compensation & Benefits: Salary: Principal: $190,000- $225,00, based on experience Additional Compensation: Annual performance-based bonuses that reward your impact. Shared upside: Meaningful equity in Outpost so you share directly in the value you help create. Comprehensive healthcare: Medical, dental, and vision coverage to keep you and your loved ones covered. We cover the base tier of medical insurance and all premiums of vision and dental. Protection when it matters: Company-provided short- and long-term disability coverage for peace of mind, plus life insurance for even more security. PTO: Recharge on your own terms with paid time off, plus 9 days of paid holidays. Invest in your future: 401(k) with company match to help you build long-term wealth. Fueled for the mission: Daily DoorDash lunch stipend, plus unlimited snacks, coffee, and tea to keep you energized. Mission that matters: Work shoulder-to-shoulder with leaders from aerospace, new space, and deep-tech industries building the future of orbital infrastructure. Pet Friendly Office: Bring your furry friend into the office so that they can be a part of our mission too. Monthly Company Happy Hours and Events: Drinks at the local bar, hibachi nights, mini golfing and more! You must be a U.S. citizen or lawful permanent resident of the U.S., protected individual as defined by 22 C.F.R. 120.15 , or eligible to obtain the required authorizations from the U.S. Department of State
09/30/2026
Full time
Job Description Job Description Principal GNC Engineer Location: Playa Vista, California (in-person, five days per week) The return lane isn't going to build itself. Come build it with us. Outpost is an orbital logistics company rewriting the rules of global logistics by building reusable Earth-return vehicles that unlock in-space manufacturing, on-orbit warehousing, and 60-minute global delivery through space. Our CarryAll vehicle family returns payloads ranging from 200 kilograms to 10 metric tons, lands within 10 meters of its target, and can then be refurbished and launched again. One vehicle, many missions: responsive logistics and precision delivery for national security; commercial cargo moved with real cadence; R&D payloads flown, tested, and refined across repeatable cycles; and critical aid delivered where roads and runways can't reach. The demand is already here, validated through defense and civil agreements and supported by a growing pipeline of government and commercial customers. We have the customers, the team, and a clear technical path ahead of us. We're building the return lane. Come build it with us The Role Outpost is building vehicles that bring things back from space. Getting mass from orbit to a precise point on the ground is a GNC problem end to end: a deorbit burn that has to hit an entry corridor, a hypersonic entry that has to bleed energy inside structural and thermal limits, and a guided descent that has to land on a target, repeatably, and cheaply enough to do it often. We're hiring a Principal GNC Engineer to own that chain. This is not a role where you hand algorithms over a wall. You'll design the guidance and estimation architecture, write the flight code, put it on hardware, sit through the HIL runs, go out to the drop tests and flight campaigns, and come back with data that changes the design. If you want to see your controller fly within months rather than years, this is that job. Basic Qualifications: Bachelor's degree in a related technical discipline with 5+ years as a GNC or Controls professional or Advanced degree with 3+ years as a GNC or Controls professional Software development experience in C++ and Python. Experience in software tools such as Git, Jira, and CI Pipeline Algorithms on real hardware (e.g. Extended Kalman Filters, LQR) Strong understanding of classical dynamics, modeling and simulation, classical and modern control. Ability to work in a fast paced, autonomously driven atmosphere. Passion for space and the application of advanced estimation and control techniques in this domain Additional Qualifications: Experience with implementing optimal control for burn planning Experience with satellite maneuvering and thruster systems Demonstrated project or professional experience in satellite attitude determination and control Experience in end-to-end development of three axis stabilized spacecraft incorporating momentum, magnetic, and/or propulsive control. Experience with flexible body control, orbital maneuvering, filtering, fault management, software development, and navigation filtering. Responsibilities: Modeling, design, analysis, implementation and test of satellite attitude determination and control (ADCS) algorithms. Hardware performance specification including reaction wheel and torque rod sizing, sensor noise and performance, characteristics, redundancy and fault management. Define and own ADCS requirements definition with electrical and mechanical engineers Implement closed loop pointing, orbit raising, and station keeping algorithms for flight. Analyze platform stability to ensure low jitter of line-of-sight instruments. Develop high fidelity 6 degree of freedom satellite simulations using Python, Matlab or C++. Develop entry guidance, entry corridor and reachability analysis, deorbit burn targeting, aerothermal and load-constrained trajectory shaping. Develop EKF and UKF with GNSS, IMU, air data, radar or laser altimetry, magnetometers, and optical or terrain-relative sensors; sensor error modeling and calibration; GNSS-denied or degraded navigation, including through plasma blackout. Implement control of aerodynamically unstable or marginally stable vehicles, gain scheduling and robust control across wide Mach and dynamic pressure ranges, actuator and effector allocation, autonomous mode sequencing and abort logic. Support flight test campaigns at test sites - test planning, instrumentation requirements, real-time support, and flight data reconstruction. Compensation & Benefits: Salary: Principal: $190,000- $225,00, based on experience Additional Compensation: Annual performance-based bonuses that reward your impact. Shared upside: Meaningful equity in Outpost so you share directly in the value you help create. Comprehensive healthcare: Medical, dental, and vision coverage to keep you and your loved ones covered. We cover the base tier of medical insurance and all premiums of vision and dental. Protection when it matters: Company-provided short- and long-term disability coverage for peace of mind, plus life insurance for even more security. PTO: Recharge on your own terms with paid time off, plus 9 days of paid holidays. Invest in your future: 401(k) with company match to help you build long-term wealth. Fueled for the mission: Daily DoorDash lunch stipend, plus unlimited snacks, coffee, and tea to keep you energized. Mission that matters: Work shoulder-to-shoulder with leaders from aerospace, new space, and deep-tech industries building the future of orbital infrastructure. Pet Friendly Office: Bring your furry friend into the office so that they can be a part of our mission too. Monthly Company Happy Hours and Events: Drinks at the local bar, hibachi nights, mini golfing and more! You must be a U.S. citizen or lawful permanent resident of the U.S., protected individual as defined by 22 C.F.R. 120.15 , or eligible to obtain the required authorizations from the U.S. Department of State
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist, AI Solution Architect to join our KPMG Managed Services practice. Responsibilities: Architect and lead end-to-end delivery of enterprise-scale AI solutions using Agile and DevOps practices, providing technical leadership across planning, development, code quality, reviews, and release management with tools such as Azure DevOps, JIRA, Git, and CI/CD pipelines. Design and implement secure, resilient, and scalable cloud-native architectures on Microsoft Azure, leveraging IaaS/PaaS services, modern application stacks, and enterprise data platforms to meet regulatory and performance requirements. Drive AI, GenAI, and agent-based solution strategy by leading proofs of concept and pilots, and guiding successful initiatives through transition into production-ready, operational platforms. Translate complex business needs into pragmatic technical solutions by partnering with business stakeholders, product owners, and enterprise architects to shape roadmaps, evaluate emerging technologies, and align AI capabilities to measurable business outcomes. Design and enable advanced agentic and intelligent automation patterns, including retrieval-augmented generation (RAG), multi-agent and A2A architectures, orchestration, state management, observability, and interoperable workflows that scale beyond pilot stages. Establish and enforce standards for architecture artifacts, documentation, deployment patterns, monitoring, and support while embedding security, privacy, and responsible AI principles into all solution designs; mentor and guide onshore and offshore engineering teams to foster a high-performance, innovation-driven culture. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment. Qualifications: Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments. Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required. Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation. Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment. Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs. Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills. Ability to travel as required. Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa). KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $124735 - $254495 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
07/14/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist, AI Solution Architect to join our KPMG Managed Services practice. Responsibilities: Architect and lead end-to-end delivery of enterprise-scale AI solutions using Agile and DevOps practices, providing technical leadership across planning, development, code quality, reviews, and release management with tools such as Azure DevOps, JIRA, Git, and CI/CD pipelines. Design and implement secure, resilient, and scalable cloud-native architectures on Microsoft Azure, leveraging IaaS/PaaS services, modern application stacks, and enterprise data platforms to meet regulatory and performance requirements. Drive AI, GenAI, and agent-based solution strategy by leading proofs of concept and pilots, and guiding successful initiatives through transition into production-ready, operational platforms. Translate complex business needs into pragmatic technical solutions by partnering with business stakeholders, product owners, and enterprise architects to shape roadmaps, evaluate emerging technologies, and align AI capabilities to measurable business outcomes. Design and enable advanced agentic and intelligent automation patterns, including retrieval-augmented generation (RAG), multi-agent and A2A architectures, orchestration, state management, observability, and interoperable workflows that scale beyond pilot stages. Establish and enforce standards for architecture artifacts, documentation, deployment patterns, monitoring, and support while embedding security, privacy, and responsible AI principles into all solution designs; mentor and guide onshore and offshore engineering teams to foster a high-performance, innovation-driven culture. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment. Qualifications: Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments. Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required. Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation. Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment. Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs. Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills. Ability to travel as required. Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa). KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $124735 - $254495 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Ensure successful technology development utilizing Agile / DevOps methodologies of complex systems and solutions Lead entire development life cycles with software engineering best practices, including setting coding standards, performing code reviews, running SCRUMs with JIRA expertise, source control management (Git, Sourcetree, etc.), configuring continuous integration, and continuous delivery systems (Jenkins, Nexus, Docker, etc.) Learn / analyze existing codebases / systems for the full stack and develop code as needed to support products and solutions (Technologies include: Cloud native IaaS / PaaS (Azure, AWS), Web UI frameworks (Angular, React, etc.), API definition (RAML, Swagger, JSON), Backend (Java, Databases, etc.), Integrations (ESB, legacy system integration, etc.) Help architect new applications by evaluating technologies working with solution architects and product managers Oversight of all documentation to ensure the development team are efficient / effective (technical details, setup information, standards, environments, etc.) Qualifications: A minimum of three years of technical full-stack development experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Deep understanding of Full-Stack development, including modern UI and backend coding fundamentals (JavaScript core best practices, object-oriented design, data structures, API design, complex problem solving, etc.) Proficiency with at least one modern JavaScript framework (Angular2/4, ReactJs, etc.), backend / AP RESTful service (Java with SpringMVC, etc.), cloud native solutions utilizing Azure / AWS, and DevOps tooling platforms (Jenkins, Ansible, Chef, or similar) Experience working with relational and non-relational databases (SQL Server, cosmos database, etc.) Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
07/14/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Ensure successful technology development utilizing Agile / DevOps methodologies of complex systems and solutions Lead entire development life cycles with software engineering best practices, including setting coding standards, performing code reviews, running SCRUMs with JIRA expertise, source control management (Git, Sourcetree, etc.), configuring continuous integration, and continuous delivery systems (Jenkins, Nexus, Docker, etc.) Learn / analyze existing codebases / systems for the full stack and develop code as needed to support products and solutions (Technologies include: Cloud native IaaS / PaaS (Azure, AWS), Web UI frameworks (Angular, React, etc.), API definition (RAML, Swagger, JSON), Backend (Java, Databases, etc.), Integrations (ESB, legacy system integration, etc.) Help architect new applications by evaluating technologies working with solution architects and product managers Oversight of all documentation to ensure the development team are efficient / effective (technical details, setup information, standards, environments, etc.) Qualifications: A minimum of three years of technical full-stack development experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Deep understanding of Full-Stack development, including modern UI and backend coding fundamentals (JavaScript core best practices, object-oriented design, data structures, API design, complex problem solving, etc.) Proficiency with at least one modern JavaScript framework (Angular2/4, ReactJs, etc.), backend / AP RESTful service (Java with SpringMVC, etc.), cloud native solutions utilizing Azure / AWS, and DevOps tooling platforms (Jenkins, Ansible, Chef, or similar) Experience working with relational and non-relational databases (SQL Server, cosmos database, etc.) Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
