Job Description Job Description SUMMARY The Program Analyst supports the coordination and integration of multiple integrated project teams (IPTs) and working groups spanning supply chain, logistics, and sustainment activities across the Department of Energy (DOE) / National Nuclear Security Administration (NNSA) and the National Laboratories. The analyst interfaces with technical, engineering, and scientific experts and organizations to identify, gather, and organize complex requirements into frameworks that optimize NNSA's nuclear weapons acquisition and sustainment programs. Support encompasses data analysis, requirements analysis, and configuration management across life cycle planning, management, and program execution. Specific duties include: Coordinate and support multiple IPTs and working groups related to supply chain, logistics, and sustainment. Perform data analysis, requirements analysis, and configuration management in support of transportation modeling and dashboard development. Analyze large data sets consisting of procedures, requirements, technical specifications, parts, and suppliers, and provide input to supply chain analyses and data visualizations. Support the development of sustainment plans, material fielding plans, and strategic planning across weapons programs. Support systems integration, interface control, and coordination across the nuclear security enterprise. Identify requirements, interfaces, conflicts, and integration issues and provide recommended resolutions based on sound engineering rationale supported by thorough analysis. Develop standardized product sustainment and support practices that apply across weapons and acquisition activities, and capture them in requirements documents. Assist Defense Programs (DP) to develop, implement, manage, and maintain a configuration management process for logistics, including the supporting technical tools. Develop and implement business processes and operations for logistics and supply chain management, and analyze existing requirements processes and tools for effective implementation. SKILLS / QUALIFICATIONS Experience analyzing large, complex government or industrial programs. Configuration management experience including data interface, requirements analysis and integration, procedure development, and document management. Experience developing programmatic plans and assessments and providing integrated project team support. Experience producing data visualizations and dashboards. Understanding of data modeling concepts and techniques. data modeling or front-end programming experience (R, Python, SQL, JavaScript, or similar) is a plus. An active DOE Q or Department of War (DOW) Top Secret clearance is required. EXPERIENCE / EDUCATIONAL REQUIREMENTS Business, management, engineering, logistics, supply chain, or another relevant field. (preferred) Relevant experience will be considered in lieu of a degree. OTHER UNIQUE REQUIREMENTS Experience in complex DOE/NNSA or DOW engineering, acquisition, sustainment, or supply chain programs. (desired) DOE 6.X and/or DOW 5000-series acquisition experience. (preferred) Knowledge of the interfaces between DOE/NNSA programs, field sites, contractors, and other government agencies involved in weapons production, handling, and transportation. (preferred) Knowledge of DOE/NNSA weapons programs. (preferred) Experience analyzing, designing, and optimizing complex manufacturing supply chains. (preferred) Selected applicants are required to submit to drug testing and a background investigation as part of the Department of Energy clearance process.
11/14/2026
Full time
Job Description Job Description SUMMARY The Program Analyst supports the coordination and integration of multiple integrated project teams (IPTs) and working groups spanning supply chain, logistics, and sustainment activities across the Department of Energy (DOE) / National Nuclear Security Administration (NNSA) and the National Laboratories. The analyst interfaces with technical, engineering, and scientific experts and organizations to identify, gather, and organize complex requirements into frameworks that optimize NNSA's nuclear weapons acquisition and sustainment programs. Support encompasses data analysis, requirements analysis, and configuration management across life cycle planning, management, and program execution. Specific duties include: Coordinate and support multiple IPTs and working groups related to supply chain, logistics, and sustainment. Perform data analysis, requirements analysis, and configuration management in support of transportation modeling and dashboard development. Analyze large data sets consisting of procedures, requirements, technical specifications, parts, and suppliers, and provide input to supply chain analyses and data visualizations. Support the development of sustainment plans, material fielding plans, and strategic planning across weapons programs. Support systems integration, interface control, and coordination across the nuclear security enterprise. Identify requirements, interfaces, conflicts, and integration issues and provide recommended resolutions based on sound engineering rationale supported by thorough analysis. Develop standardized product sustainment and support practices that apply across weapons and acquisition activities, and capture them in requirements documents. Assist Defense Programs (DP) to develop, implement, manage, and maintain a configuration management process for logistics, including the supporting technical tools. Develop and implement business processes and operations for logistics and supply chain management, and analyze existing requirements processes and tools for effective implementation. SKILLS / QUALIFICATIONS Experience analyzing large, complex government or industrial programs. Configuration management experience including data interface, requirements analysis and integration, procedure development, and document management. Experience developing programmatic plans and assessments and providing integrated project team support. Experience producing data visualizations and dashboards. Understanding of data modeling concepts and techniques. data modeling or front-end programming experience (R, Python, SQL, JavaScript, or similar) is a plus. An active DOE Q or Department of War (DOW) Top Secret clearance is required. EXPERIENCE / EDUCATIONAL REQUIREMENTS Business, management, engineering, logistics, supply chain, or another relevant field. (preferred) Relevant experience will be considered in lieu of a degree. OTHER UNIQUE REQUIREMENTS Experience in complex DOE/NNSA or DOW engineering, acquisition, sustainment, or supply chain programs. (desired) DOE 6.X and/or DOW 5000-series acquisition experience. (preferred) Knowledge of the interfaces between DOE/NNSA programs, field sites, contractors, and other government agencies involved in weapons production, handling, and transportation. (preferred) Knowledge of DOE/NNSA weapons programs. (preferred) Experience analyzing, designing, and optimizing complex manufacturing supply chains. (preferred) Selected applicants are required to submit to drug testing and a background investigation as part of the Department of Energy clearance process.
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details
11/14/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details
11/14/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details
This job is with Ferguson, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Posting: Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. IT Manager - Business Systems Analysis Join our IT Boundary Applications & Analytics team as an IT Manager - Business Systems Analysis and lead a talented team of Business Systems Analysts who help turn complex business needs into effective technology solutions. You'll develop and empower your team, strengthen BSA practices, and partner across Business and IT to support critical applications, modernization efforts, and strategic technology initiatives that move the business forward. Location: This is a Hybrid role based out of our HQ location in Newport News, VA, in accordance with our Flex schedule; 3 days office / 2 days remote. Duties and Responsibilities: Lead, coach, and develop Business Systems Analysts; set expectations, allocate work, provide feedback, and build capability across requirements, process analysis, facilitation, and business customer management. Manage delivery of the IT strategy and roadmap for the BSA function, providing vision and guidance aligned with business goals, demand priorities, and technology strategy. Guide the development and standardization of business analysis processes, policies, templates, quality standards, governance practices, and performance metrics. Ensure consistent elicitation, analysis, documentation, communication, validation, and approval of functional and non-functional requirements. Partner with business and IT leaders to understand strategic objectives, assess demand, prioritize initiatives, define timelines, and resolve dependencies and risks. Oversee analysis of business processes, user needs, costs, benefits, system requirements, organizational impacts, and solution alternatives. Optimize the design, development, operation, and support of IT systems by ensuring requirements are complete, traceable, feasible, and aligned with business outcomes. Lead customer workshops and multi-functional discussions to clarify needs, evaluate trade-offs, gain alignment, and support sound decisions. Oversee change-impact analysis, system demonstrations, training support, implementation readiness, and escalated production issue analysis. Organize technical and business reports, portfolio metrics, recommendations, and status updates for management and key team members. Promote effective collaboration among Business, Product, Architecture, Engineering, Quality, Operations, Security, Data, and project teams. Adhere to Company compliance and Health, Safety and Environment (HSE) policies, procedures, and requirements. Maintain regular and reliable attendance. Perform other duties as assigned. Qualifications and Requirements: 7+ years of progressive business analysis, systems analysis, product delivery, or related technology experience, including leadership of people, teams, or complex analysis work. Bachelor degree in Information Systems, Computer Science, Business, Engineering, or a related field, or equivalent relevant experience. Experience leading requirements elicitation, process analysis, solution evaluation, impact assessment, documentation, and stakeholder approval across sophisticated initiatives. Solid understanding of business analysis practices, software development lifecycle methodologies, demand management, testing, implementation, and production support. Experience establishing standards, improving processes, managing priorities, and using metrics to improve analysis quality and delivery outcomes. Demonstrated ability to coach and develop analysts and communicate effectively with technical and non-technical audiences at all organizational levels. Strong leadership, facilitation, analytical, problem-solving, presentation, documentation, and multi-functional collaboration skills. Experience managing a Business Systems Analysis, Business Analysis, or related technology function in an enterprise environment. Experience with application modernization, process transformation, portfolio planning, or large-scale technology initiatives. Experience with business process modeling, requirements-management tools, Agile product delivery, and data-informed performance metrics. Relevant business analysis, product, Agile, project management, technology, or leadership certification. At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more! - Pay Range: - $7,568.91 - $13,247.76 - Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles. - This role is Bonus or Incentive Plan eligible. - Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements. - The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability. Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Equal Employment Opportunity and Reasonable Accommodation Information
11/14/2026
Full time
This job is with Ferguson, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Posting: Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. IT Manager - Business Systems Analysis Join our IT Boundary Applications & Analytics team as an IT Manager - Business Systems Analysis and lead a talented team of Business Systems Analysts who help turn complex business needs into effective technology solutions. You'll develop and empower your team, strengthen BSA practices, and partner across Business and IT to support critical applications, modernization efforts, and strategic technology initiatives that move the business forward. Location: This is a Hybrid role based out of our HQ location in Newport News, VA, in accordance with our Flex schedule; 3 days office / 2 days remote. Duties and Responsibilities: Lead, coach, and develop Business Systems Analysts; set expectations, allocate work, provide feedback, and build capability across requirements, process analysis, facilitation, and business customer management. Manage delivery of the IT strategy and roadmap for the BSA function, providing vision and guidance aligned with business goals, demand priorities, and technology strategy. Guide the development and standardization of business analysis processes, policies, templates, quality standards, governance practices, and performance metrics. Ensure consistent elicitation, analysis, documentation, communication, validation, and approval of functional and non-functional requirements. Partner with business and IT leaders to understand strategic objectives, assess demand, prioritize initiatives, define timelines, and resolve dependencies and risks. Oversee analysis of business processes, user needs, costs, benefits, system requirements, organizational impacts, and solution alternatives. Optimize the design, development, operation, and support of IT systems by ensuring requirements are complete, traceable, feasible, and aligned with business outcomes. Lead customer workshops and multi-functional discussions to clarify needs, evaluate trade-offs, gain alignment, and support sound decisions. Oversee change-impact analysis, system demonstrations, training support, implementation readiness, and escalated production issue analysis. Organize technical and business reports, portfolio metrics, recommendations, and status updates for management and key team members. Promote effective collaboration among Business, Product, Architecture, Engineering, Quality, Operations, Security, Data, and project teams. Adhere to Company compliance and Health, Safety and Environment (HSE) policies, procedures, and requirements. Maintain regular and reliable attendance. Perform other duties as assigned. Qualifications and Requirements: 7+ years of progressive business analysis, systems analysis, product delivery, or related technology experience, including leadership of people, teams, or complex analysis work. Bachelor degree in Information Systems, Computer Science, Business, Engineering, or a related field, or equivalent relevant experience. Experience leading requirements elicitation, process analysis, solution evaluation, impact assessment, documentation, and stakeholder approval across sophisticated initiatives. Solid understanding of business analysis practices, software development lifecycle methodologies, demand management, testing, implementation, and production support. Experience establishing standards, improving processes, managing priorities, and using metrics to improve analysis quality and delivery outcomes. Demonstrated ability to coach and develop analysts and communicate effectively with technical and non-technical audiences at all organizational levels. Strong leadership, facilitation, analytical, problem-solving, presentation, documentation, and multi-functional collaboration skills. Experience managing a Business Systems Analysis, Business Analysis, or related technology function in an enterprise environment. Experience with application modernization, process transformation, portfolio planning, or large-scale technology initiatives. Experience with business process modeling, requirements-management tools, Agile product delivery, and data-informed performance metrics. Relevant business analysis, product, Agile, project management, technology, or leadership certification. At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more! - Pay Range: - $7,568.91 - $13,247.76 - Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles. - This role is Bonus or Incentive Plan eligible. - Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements. - The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability. Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Equal Employment Opportunity and Reasonable Accommodation Information
Job Description Responsible for developing complex requirements, enhancing, modifying and/or maintaining applications in the Financial Crimes technology to accomplish business goals. Software developers design, code, test, debug and document programs as well as support activities for the maintaining the application. Work closely with business partners in defining requirements for system applications. Typically requires 10+ years of applicable experience. Utilizes in-depth knowledge of business requirements, business environments, and technological alternatives to recommend innovations that enhance and/or provide a competitive advantage to the organization. Responsible for providing insight and direction from a data perspective, assessment of impact on technology systems and participation in the full development lifecycle of the capability being delivered. Contribute to story refinement/defining requirements. Estimate work necessary to realize a story/requirement through the delivery lifecycle. Perform proof of concept as necessary to mitigate risk or implement new ideas. Setup and automate continuous integration/continuous delivery pipeline. Working closely with Production Support teams, Platform teams and Business Partners, this person handles technical aspects of the application, including Change Management, Maintenance, Platform Upgrades, and Changes to requirements from both upstream and downstream interfacing applications. Demonstrated data sourcing, data analysis and modeling skills with the ability to build innovative data provisioning models to support large scale financial crimes data sourcing initiatives. Work with a team of Data Analysts and Developers related to Data to ensure best practice and governance is followed. Promoting and applying best practices and standards at a project, program level. Partners with the business to develop plans, including ongoing success measures, to sustain the change. Accountable for analyzing present-state, developing alternative future-state approaches and facilitating implementation. Effectively communicates with managers, peers and business partners on deliverables and timelines. Responsible for being Agile and following agile practice. In parallel, ensuring all Enterprise Change Standards are met. Experience in Teradata 16.x , SQL/BTEQ scripting, TPT, Informatica 10.x UNIX Shell scripting, Autosys, Cloudera CDP, Hadoop (Hive, Impala, PySpark, Scala) and Data analysis. Strong Data sourcing, data modelling and provisioning skills as related to support large scale AML monitoring and surveillance data assets. Database -Executed database intensive development, data migrations and conversions. Knowledge and experience working with SQL performance tuning. A person who can handle all at once - Design/Build, Hands-on development, Co-ordination of development in distributed environment Very good at engaging Business stakeholders and apt at Business engagement and requirement discovery Good experience in SDLC, Agile, Continuous Integration Continuous Delivery, and change management (CICD ) - Jira, Bitbucket,Jenkins, Artifactory, Ansible Good knowledge of Unix and development of shell scripts is required Good to have business knowledge in financial domains related to Anti-Money Laundering and Financial Crimes Effective communication and listening skills Software development in Agile environment. Education: BS/MS in Computer Science, Engineering, or any quantitative discipline
11/14/2026
Full time
Job Description Responsible for developing complex requirements, enhancing, modifying and/or maintaining applications in the Financial Crimes technology to accomplish business goals. Software developers design, code, test, debug and document programs as well as support activities for the maintaining the application. Work closely with business partners in defining requirements for system applications. Typically requires 10+ years of applicable experience. Utilizes in-depth knowledge of business requirements, business environments, and technological alternatives to recommend innovations that enhance and/or provide a competitive advantage to the organization. Responsible for providing insight and direction from a data perspective, assessment of impact on technology systems and participation in the full development lifecycle of the capability being delivered. Contribute to story refinement/defining requirements. Estimate work necessary to realize a story/requirement through the delivery lifecycle. Perform proof of concept as necessary to mitigate risk or implement new ideas. Setup and automate continuous integration/continuous delivery pipeline. Working closely with Production Support teams, Platform teams and Business Partners, this person handles technical aspects of the application, including Change Management, Maintenance, Platform Upgrades, and Changes to requirements from both upstream and downstream interfacing applications. Demonstrated data sourcing, data analysis and modeling skills with the ability to build innovative data provisioning models to support large scale financial crimes data sourcing initiatives. Work with a team of Data Analysts and Developers related to Data to ensure best practice and governance is followed. Promoting and applying best practices and standards at a project, program level. Partners with the business to develop plans, including ongoing success measures, to sustain the change. Accountable for analyzing present-state, developing alternative future-state approaches and facilitating implementation. Effectively communicates with managers, peers and business partners on deliverables and timelines. Responsible for being Agile and following agile practice. In parallel, ensuring all Enterprise Change Standards are met. Experience in Teradata 16.x , SQL/BTEQ scripting, TPT, Informatica 10.x UNIX Shell scripting, Autosys, Cloudera CDP, Hadoop (Hive, Impala, PySpark, Scala) and Data analysis. Strong Data sourcing, data modelling and provisioning skills as related to support large scale AML monitoring and surveillance data assets. Database -Executed database intensive development, data migrations and conversions. Knowledge and experience working with SQL performance tuning. A person who can handle all at once - Design/Build, Hands-on development, Co-ordination of development in distributed environment Very good at engaging Business stakeholders and apt at Business engagement and requirement discovery Good experience in SDLC, Agile, Continuous Integration Continuous Delivery, and change management (CICD ) - Jira, Bitbucket,Jenkins, Artifactory, Ansible Good knowledge of Unix and development of shell scripts is required Good to have business knowledge in financial domains related to Anti-Money Laundering and Financial Crimes Effective communication and listening skills Software development in Agile environment. Education: BS/MS in Computer Science, Engineering, or any quantitative discipline
Job Description Job Title: MES Business Analyst (Process & Discrete Manufacturing) Duration: 6+ Months contract Location: Richmond, VA Pay Range: $50-$55/hr. Role Overview: Business Analyst with strong experience in MES implementations for Process and Discrete Manufacturing environments (Tobacco or similar). Responsible for requirements gathering, process analysis, solution design support, testing, and stakeholder management across manufacturing digitalization initiatives. Key Responsibilities: Gather and document business and functional requirements. Conduct workshops with Manufacturing, Quality, Supply Chain, and IT teams. Translate business needs into MES solutions and user stories. Support solution design, SIT, UAT, deployment, and hypercare activities. Create BRDs, FRDs, process maps, RTMs, and test scenarios. Act as the liaison between business users and technical teams. Required Experience: MES implementation/enhancement projects in Process and Discrete (Tobacco or similar) Manufacturing and environments. Functional Expertise of: End to end Manufacturing processes Production Planning, Scheduling, Execution and Order Management Material Genealogy & Traceability Shop Floor Operations Quality Management ( Checklist / SPC) OEE & Performance Monitoring Experience with MES platforms such as AspenTech, TrackSys, Siemens Opcenter, Apriso, AVEVA MES, SAP Digital Manufacturing, or similar. Knowledge of MES integration with SAP/ERP, PLC, SCADA, Historians, and Quality Systems. Strong skills in requirements management, process mapping, gap analysis, and UAT. Preferred Qualifications: Bachelor's degree in Engineering, IT, or related field. Knowledge of ISA-95/ISA-88 standards. Experience in Agile delivery and global manufacturing programs. Key Competencies: MES Domain Expertise Tobacco Manufacturing Knowledge Business Analysis & Process Improvement Stakeholder Management Problem Solving & Communication Ideal Candidate: Proven BA with hands-on experience delivering MES solutions for Tobacco and Discrete Manufacturing operations, driving end-to-end requirements, testing, and stakeholder engagement. "We are an equal opportunity employer. It is our policy to provide employment, compensation, and other benefits related to employment without regard to race, color, religion, sex, gender, national or ethnic origin, disability, veteran status, age, genetic information, citizenship, or any other basis prohibited by applicable federal, state, or local law."
11/14/2026
Full time
Job Description Job Title: MES Business Analyst (Process & Discrete Manufacturing) Duration: 6+ Months contract Location: Richmond, VA Pay Range: $50-$55/hr. Role Overview: Business Analyst with strong experience in MES implementations for Process and Discrete Manufacturing environments (Tobacco or similar). Responsible for requirements gathering, process analysis, solution design support, testing, and stakeholder management across manufacturing digitalization initiatives. Key Responsibilities: Gather and document business and functional requirements. Conduct workshops with Manufacturing, Quality, Supply Chain, and IT teams. Translate business needs into MES solutions and user stories. Support solution design, SIT, UAT, deployment, and hypercare activities. Create BRDs, FRDs, process maps, RTMs, and test scenarios. Act as the liaison between business users and technical teams. Required Experience: MES implementation/enhancement projects in Process and Discrete (Tobacco or similar) Manufacturing and environments. Functional Expertise of: End to end Manufacturing processes Production Planning, Scheduling, Execution and Order Management Material Genealogy & Traceability Shop Floor Operations Quality Management ( Checklist / SPC) OEE & Performance Monitoring Experience with MES platforms such as AspenTech, TrackSys, Siemens Opcenter, Apriso, AVEVA MES, SAP Digital Manufacturing, or similar. Knowledge of MES integration with SAP/ERP, PLC, SCADA, Historians, and Quality Systems. Strong skills in requirements management, process mapping, gap analysis, and UAT. Preferred Qualifications: Bachelor's degree in Engineering, IT, or related field. Knowledge of ISA-95/ISA-88 standards. Experience in Agile delivery and global manufacturing programs. Key Competencies: MES Domain Expertise Tobacco Manufacturing Knowledge Business Analysis & Process Improvement Stakeholder Management Problem Solving & Communication Ideal Candidate: Proven BA with hands-on experience delivering MES solutions for Tobacco and Discrete Manufacturing operations, driving end-to-end requirements, testing, and stakeholder engagement. "We are an equal opportunity employer. It is our policy to provide employment, compensation, and other benefits related to employment without regard to race, color, religion, sex, gender, national or ethnic origin, disability, veteran status, age, genetic information, citizenship, or any other basis prohibited by applicable federal, state, or local law."
SANS Consulting Services, Inc.
Mundelein, Illinois
Job Description Must be US Citizen or Green Card as slient is unable to sponsor H1B or other work Visas. Job Title - Forward Deployed Engineer (LEAD AI ENGINEER with capital markets) Location - New York, NY ( 4 days onsite with the client, 1 day remote) Duration - 12+ Months The Work : You'd embed with a hedge fund or investment management firm 4 days a week as the technical lead on the deployment. Your job is to customize our products to fit their environment and ship the workflows they use every day, from backend integrations to the interfaces users touch. Some of our products drop in cleanly. Others need real engineering to fit the client's setup. Your judgment decides the mix. You stay with one deployment long enough to see the work mature. You're not rotating through customer logos and you're not handing off to a platform team. The feedback loop is short. You'll see what works and what doesn't from the people who actually use the system, not from a roadmap committee three quarters out. FDE work is heavy on building. Most weeks land around 80 percent building, including the planning and decision-making that are now part of how modern AI software gets made. The rest is working across the client firm with portfolio managers, analysts, traders, ops, compliance, and tech leadership. You Should Have 5+ years of production software engineering. You've built systems that businesses run on every day, and you can walk us through the architecture decisions, the failure modes you hit at scale, and how you fixed them. Full-stack delivery. Strong Python and TypeScript, with React experience on the user-facing side. Our deployments end in interfaces that portfolio managers and analysts use daily, and you own that last mile. Engineering process discipline. You design APIs and integrations that production systems depend on, and you bring SDLC rigor with you: code review, testing, versioned releases, documented decisions. Hands-on production AI work: agents, retrieval, evaluation suites, human-in-the-loop review. You've shipped LLM-powered workflows to real users and iterated on how they failed. We care more about what you've shipped than the calendar. You know real-world RAG is more about chunking, reranking, and grounding evaluation than picking a vector DB. You've made the call between off-the-shelf agent frameworks and custom orchestration, and you can defend the choice. Track record of owning a bounded client engagement from kickoff to production within 90 to 180 days, including scope negotiation, written milestone delivery, and stakeholder management across business, operations, and compliance. Shipped in a regulated or operationally complex environment where audit trails, evidence, and human-in-the-loop governance are first-class requirements, not afterthoughts. Comfort being measured on deployment outcomes: time-to-first-value, production reliability, user activation, and whether the client will take a reference call. The disposition to own a customer-facing deployment end to end. On Domain Experience - Financial services experience is not required, but it's preferred. If you haven't worked in this domain before, show us you've learned a complex one quickly and we'll take that seriously. It Helps If You Are currently somewhere a portfolio manager would recognize. Hedge fund, alternative asset manager, major investment bank, or AI-for-finance startup. Have been the embedded engineer at a prior enterprise software company. FDE, solutions engineer, deployed engineer, whatever the title was. Build with AI on the side. Side projects, open source, agent experiments you've actually put into the world. Have worked in a highly regulated or operationally complex environment.
11/14/2026
Full time
Job Description Must be US Citizen or Green Card as slient is unable to sponsor H1B or other work Visas. Job Title - Forward Deployed Engineer (LEAD AI ENGINEER with capital markets) Location - New York, NY ( 4 days onsite with the client, 1 day remote) Duration - 12+ Months The Work : You'd embed with a hedge fund or investment management firm 4 days a week as the technical lead on the deployment. Your job is to customize our products to fit their environment and ship the workflows they use every day, from backend integrations to the interfaces users touch. Some of our products drop in cleanly. Others need real engineering to fit the client's setup. Your judgment decides the mix. You stay with one deployment long enough to see the work mature. You're not rotating through customer logos and you're not handing off to a platform team. The feedback loop is short. You'll see what works and what doesn't from the people who actually use the system, not from a roadmap committee three quarters out. FDE work is heavy on building. Most weeks land around 80 percent building, including the planning and decision-making that are now part of how modern AI software gets made. The rest is working across the client firm with portfolio managers, analysts, traders, ops, compliance, and tech leadership. You Should Have 5+ years of production software engineering. You've built systems that businesses run on every day, and you can walk us through the architecture decisions, the failure modes you hit at scale, and how you fixed them. Full-stack delivery. Strong Python and TypeScript, with React experience on the user-facing side. Our deployments end in interfaces that portfolio managers and analysts use daily, and you own that last mile. Engineering process discipline. You design APIs and integrations that production systems depend on, and you bring SDLC rigor with you: code review, testing, versioned releases, documented decisions. Hands-on production AI work: agents, retrieval, evaluation suites, human-in-the-loop review. You've shipped LLM-powered workflows to real users and iterated on how they failed. We care more about what you've shipped than the calendar. You know real-world RAG is more about chunking, reranking, and grounding evaluation than picking a vector DB. You've made the call between off-the-shelf agent frameworks and custom orchestration, and you can defend the choice. Track record of owning a bounded client engagement from kickoff to production within 90 to 180 days, including scope negotiation, written milestone delivery, and stakeholder management across business, operations, and compliance. Shipped in a regulated or operationally complex environment where audit trails, evidence, and human-in-the-loop governance are first-class requirements, not afterthoughts. Comfort being measured on deployment outcomes: time-to-first-value, production reliability, user activation, and whether the client will take a reference call. The disposition to own a customer-facing deployment end to end. On Domain Experience - Financial services experience is not required, but it's preferred. If you haven't worked in this domain before, show us you've learned a complex one quickly and we'll take that seriously. It Helps If You Are currently somewhere a portfolio manager would recognize. Hedge fund, alternative asset manager, major investment bank, or AI-for-finance startup. Have been the embedded engineer at a prior enterprise software company. FDE, solutions engineer, deployed engineer, whatever the title was. Build with AI on the side. Side projects, open source, agent experiments you've actually put into the world. Have worked in a highly regulated or operationally complex environment.
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.
Job Description Job Description Summary : DXC's Global Cyber Security team is building AI-enabled security capabilities that make our risk management faster, more consistent, and more scalable. AI Security Engineers design, build, and operate the solutions that power vulnerability management, cloud security posture management, DevSecOps, risk management, and security metrics across DXC's global environment. You will combine security domain knowledge with software engineering and AI to turn manual security processes into automated, reliable, and measurable systems. You will work closely with the Vulnerability Management Lead, Data Protection Manager, security architects, risk analysts, cloud and platform engineers, and application development teams. The role suits a builder who is comfortable working in code, prototyping quickly with AI-assisted development tools, and taking solutions from proof of concept to production. Roles and Responsibilities Design, build, and maintain AI-enabled security solutions that automate vulnerability triage, enrichment, prioritization, and ticket routing. Use AI-assisted development ("vibe coding") and modern engineering practices to rapidly prototype security tools, then harden them for production use. Build automation workflows and integrations across scanners, cloud control planes, CI/CD pipelines, ticketing systems such as Azure DevOps, and SIEM and SOAR platforms. Develop cloud security posture management capabilities, including automated misconfiguration detection, policy-as-code, drift remediation, and guardrails for multi-cloud environments. Embed security into DevSecOps pipelines through automated SAST, DAST, SCA, secrets detection, container and infrastructure-as-code scanning, and AI-assisted code review and fix suggestions. Engineer AI solutions for risk management, such as evidence collection, control testing, risk register enrichment, and automated assessment support. Build security dashboards and metrics pipelines that give leadership and practitioners accurate, timely views of posture, backlog, remediation performance, and risk trends. Design human-in-the-loop controls, approval gates, and audit logging for automated and AI-driven actions, so that automation is safe, governed, and explainable. Evaluate and validate AI models, agents, and tools for accuracy, false-positive rates, cost, and security, and document their limitations. Apply secure coding and engineering practices to security tooling itself, including secrets management, least-privilege access, dependency hygiene, and testing. Produce clear technical documentation, runbooks, and knowledge articles so that solutions can be operated and handed off reliably. Partner with the security operations, governance, and IT teams to identify manual processes that are good candidates for automation and deliver them iteratively. Skills and Attributes for Success Strong programming skills in Python and PowerShell, with working knowledge of JavaScript or TypeScript and familiarity with infrastructure-as-code tools such as Terraform or Bicep. Practical experience using AI-assisted coding tools and LLM APIs, with an understanding of prompt design, evaluation, and the limits of model output. Experience building API integrations and event-driven automation, including REST APIs, webhooks, and message queues. Working knowledge of cloud security posture management and cloud platforms, particularly Azure and Microsoft 365, with exposure to AWS or GCP. Familiarity with DevSecOps tooling and CI/CD platforms such as Azure DevOps, GitHub Actions, or GitLab. Understanding of vulnerability management, threat intelligence, and risk frameworks such as NIST CSF, NIST AI RMF, and CIS Benchmarks. Ability to design dashboards and metrics using tools such as Power BI, Kusto (KQL), or similar platforms. Strong problem-solving skills, a bias toward action, and comfort turning ambiguous security problems into working solutions. Clear communication skills, with the ability to explain technical designs to both engineers and non-technical stakeholders. Requirements Bachelor's degree in computer science, Information Systems, Engineering, or a similar discipline, or equivalent experience. Minimum of 3 years of experience in security engineering, security automation, DevSecOps, or software engineering with a security focus. Demonstrated experience building automation or tooling that is in production use, ideally in a security context. Hands-on experience with at least one of: vulnerability management platforms, cloud security posture management tools, SAST/DAST/SCA tooling, or SIEM/SOAR platforms. Experience with Microsoft Defender for Cloud, Microsoft Sentinel, Microsoft Defender for Endpoint, or equivalent platforms. Familiarity with Azure DevOps and Git-based version control workflows. Experience with AI or LLM application development, including retrieval-augmented generation, agent frameworks, or evaluation of model outputs, is strongly preferred.
11/14/2026
Full time
Job Description Job Description Summary : DXC's Global Cyber Security team is building AI-enabled security capabilities that make our risk management faster, more consistent, and more scalable. AI Security Engineers design, build, and operate the solutions that power vulnerability management, cloud security posture management, DevSecOps, risk management, and security metrics across DXC's global environment. You will combine security domain knowledge with software engineering and AI to turn manual security processes into automated, reliable, and measurable systems. You will work closely with the Vulnerability Management Lead, Data Protection Manager, security architects, risk analysts, cloud and platform engineers, and application development teams. The role suits a builder who is comfortable working in code, prototyping quickly with AI-assisted development tools, and taking solutions from proof of concept to production. Roles and Responsibilities Design, build, and maintain AI-enabled security solutions that automate vulnerability triage, enrichment, prioritization, and ticket routing. Use AI-assisted development ("vibe coding") and modern engineering practices to rapidly prototype security tools, then harden them for production use. Build automation workflows and integrations across scanners, cloud control planes, CI/CD pipelines, ticketing systems such as Azure DevOps, and SIEM and SOAR platforms. Develop cloud security posture management capabilities, including automated misconfiguration detection, policy-as-code, drift remediation, and guardrails for multi-cloud environments. Embed security into DevSecOps pipelines through automated SAST, DAST, SCA, secrets detection, container and infrastructure-as-code scanning, and AI-assisted code review and fix suggestions. Engineer AI solutions for risk management, such as evidence collection, control testing, risk register enrichment, and automated assessment support. Build security dashboards and metrics pipelines that give leadership and practitioners accurate, timely views of posture, backlog, remediation performance, and risk trends. Design human-in-the-loop controls, approval gates, and audit logging for automated and AI-driven actions, so that automation is safe, governed, and explainable. Evaluate and validate AI models, agents, and tools for accuracy, false-positive rates, cost, and security, and document their limitations. Apply secure coding and engineering practices to security tooling itself, including secrets management, least-privilege access, dependency hygiene, and testing. Produce clear technical documentation, runbooks, and knowledge articles so that solutions can be operated and handed off reliably. Partner with the security operations, governance, and IT teams to identify manual processes that are good candidates for automation and deliver them iteratively. Skills and Attributes for Success Strong programming skills in Python and PowerShell, with working knowledge of JavaScript or TypeScript and familiarity with infrastructure-as-code tools such as Terraform or Bicep. Practical experience using AI-assisted coding tools and LLM APIs, with an understanding of prompt design, evaluation, and the limits of model output. Experience building API integrations and event-driven automation, including REST APIs, webhooks, and message queues. Working knowledge of cloud security posture management and cloud platforms, particularly Azure and Microsoft 365, with exposure to AWS or GCP. Familiarity with DevSecOps tooling and CI/CD platforms such as Azure DevOps, GitHub Actions, or GitLab. Understanding of vulnerability management, threat intelligence, and risk frameworks such as NIST CSF, NIST AI RMF, and CIS Benchmarks. Ability to design dashboards and metrics using tools such as Power BI, Kusto (KQL), or similar platforms. Strong problem-solving skills, a bias toward action, and comfort turning ambiguous security problems into working solutions. Clear communication skills, with the ability to explain technical designs to both engineers and non-technical stakeholders. Requirements Bachelor's degree in computer science, Information Systems, Engineering, or a similar discipline, or equivalent experience. Minimum of 3 years of experience in security engineering, security automation, DevSecOps, or software engineering with a security focus. Demonstrated experience building automation or tooling that is in production use, ideally in a security context. Hands-on experience with at least one of: vulnerability management platforms, cloud security posture management tools, SAST/DAST/SCA tooling, or SIEM/SOAR platforms. Experience with Microsoft Defender for Cloud, Microsoft Sentinel, Microsoft Defender for Endpoint, or equivalent platforms. Familiarity with Azure DevOps and Git-based version control workflows. Experience with AI or LLM application development, including retrieval-augmented generation, agent frameworks, or evaluation of model outputs, is strongly preferred.
Job Description DBA Halcrya Technologies Location: San Diego, CA - In Office Reports to: Founder & CEO Works closely with: Engineering leadership, engineers, and business stakeholders Compensation: $35-$40 per hour, depending on experience. Employment: Full-time, hourly THE MISSION Turn the founder's vision, business knowledge, and intellectual property into clear product requirements that engineering can build, test, and deliver. You will work directly with the CEO to capture ideas, ask precise questions, organize complex information, analyze business needs, and translate that knowledge into actionable product specifications. You will lead the back-and-forth needed to clarify what the application should do, how users should experience it, and what successful delivery looks like. This is a hands-on role for someone who can move quickly between conversation, analysis, documentation, and execution. Success means engineering can pick up an approved work item and understand what to build, why it matters, and how it will be accepted. WHAT YOU WILL OWN 1. Capture and structure the founder's knowledge • Run focused discovery sessions with the CEO to extract business logic, product concepts, workflows, exceptions, priorities, and desired user experiences. • Turn voice notes, meeting recordings, sketches, and scattered ideas into organized, searchable product knowledge. • Ask follow-up questions, identify contradictions, and distinguish confirmed decisions from assumptions and unresolved questions. • Maintain a searchable record of business rules, workflows, decisions, and revisions so another team member can pick up the work without relying on the founder's memory. 2. Perform business and product analysis • Define the user, problem, intended outcome, and business value behind each request. • Map current and proposed workflows, user journeys, roles, permissions, data needs, integrations, and exception paths. • Identify missing requirements, dependencies, duplicate requests, conflicting rules, and opportunities to simplify delivery. • Separate the minimum useful release from later enhancements and recommend scope based on value, urgency, effort, and dependencies. • Produce simple wireframes or annotated prototypes when visuals clarify the intended experience. 3. Prepare work engineering can execute • Translate approved concepts into concise product briefs, feature specifications, epics where useful, and small executable work items. • Write clear user stories or task descriptions with acceptance criteria, business rules, edge cases, dependencies, and relevant references. • Define loading, empty, error, and permission states where relevant to the experience. • Confirm readiness with engineering before work begins. Record the approved scope, accountable owner, agreed delivery date, dependencies, acceptance criteria, and evidence needed to verify completion. • Keep scope and acceptance criteria current when decisions change. 4. Manage delivery and feedback • Maintain the product backlog and delivery board in the company's selected project management system. • Coordinate priorities, owners, dependencies, milestones, and handoffs with engineering leadership. • Flag blockers and at-risk commitments before deadlines slip. Bring the CEO a short list of decisions needed and use written updates to protect engineering focus time. • Review demos against approved business requirements and capture specific feedback. Track business acceptance and link to QA and release status from the teams that own those checks. • Coordinate business acceptance with the CEO and track changes through completion. HOW YOU WILL USE AI Use AI daily to accelerate transcription, knowledge extraction, workflow mapping, first drafts of requirements, backlog organization, and consistency checks. Build reusable templates and prompts so repeated work gets faster without losing accuracy. An epic is an organizing container, not a complete engineering handoff. Our preferred approach is a living product specification linked to small, testable work items, supporting designs, and explicit acceptance criteria. Use epics when they help group related work. AI-generated requirements must be checked against source conversations and confirmed decisions. Never convert an AI assumption into an approved requirement. Use company-approved tools and follow company policies for confidential information and intellectual property. We may need to capture and structure more than 100 ideas or feature requests in a compressed period. You must be able to batch intake, identify duplicates, prioritize, and move the highest-value items into engineering readiness. The level of detail should match the complexity and risk of each item. CORE DELIVERABLES • A searchable product knowledge base and decision log. • Prioritized backlog with clear ownership, status, and dependencies. • Product briefs, workflow maps, and supporting wireframes. • Engineering-ready work items with measurable acceptance criteria. • A concise weekly CEO update showing what is in progress, who owns it, when it is due, what is blocked or at risk, what shipped, and which items passed business acceptance. BACKGROUND AND SKILLS • Early-career experience in technical project coordination, business analysis, product operations, or software delivery. Relevant internships and substantial project work count. Fintech experience is helpful and optional. • Experience turning founder or stakeholder conversations into requirements that engineers successfully delivered. • Working knowledge of web applications, APIs, databases, integrations, permissions, and the software development lifecycle. • Ability to read technical documentation and discuss implementation constraints with engineers; production coding is not required. • Practical experience using AI tools to accelerate analysis and documentation while verifying accuracy. • Strong interviewing, analytical writing, process mapping, organization, and follow-through. • Experience with tools such as ClickUp, Linear, Jira, or similar; familiarity with wireframing or prototyping tools. • Ability to respectfully challenge unclear ideas, ask direct questions, and keep discovery moving toward decisions. • Comfort working in office with a fast-moving founder and adapting as product understanding evolves. FIRST 30 DAYS Establish the intake process, product knowledge base, decision log, and requirements template. Capture and prioritize the initial body of ideas and deliver the first approved engineering handoffs. Run a repeatable discovery-to-engineering process, expand the organized backlog, and support delivery of the first prioritized features. Demonstrate consistent throughput, fewer clarification loops, traceable decisions, and delivered features that match the CEO's approved intent. HOW SUCCESS IS MEASURED • Speed from discovery to approved, engineering-ready requirements. • Clarity and completeness of handoffs, measured through engineering feedback. • Reduced rework caused by missing or misunderstood requirements. • Reliable visibility into priorities, dependencies, blockers, and decisions. • Delivered functionality that satisfies approved acceptance criteria. This role owns product requirements, project coordination, and business acceptance with the CEO. Engineering owns architecture, estimates, and implementation. Technology Operations owns independent QA, release verification, security governance, and technical documentation standards. APPLICATION Share an example of an ambiguous idea you turned into a shipped feature. Explain how you captured requirements, clarified open questions, worked with engineers, and verified the result. Include a sanitized example of a specification, workflow, or project board you created.
11/14/2026
Full time
Job Description DBA Halcrya Technologies Location: San Diego, CA - In Office Reports to: Founder & CEO Works closely with: Engineering leadership, engineers, and business stakeholders Compensation: $35-$40 per hour, depending on experience. Employment: Full-time, hourly THE MISSION Turn the founder's vision, business knowledge, and intellectual property into clear product requirements that engineering can build, test, and deliver. You will work directly with the CEO to capture ideas, ask precise questions, organize complex information, analyze business needs, and translate that knowledge into actionable product specifications. You will lead the back-and-forth needed to clarify what the application should do, how users should experience it, and what successful delivery looks like. This is a hands-on role for someone who can move quickly between conversation, analysis, documentation, and execution. Success means engineering can pick up an approved work item and understand what to build, why it matters, and how it will be accepted. WHAT YOU WILL OWN 1. Capture and structure the founder's knowledge • Run focused discovery sessions with the CEO to extract business logic, product concepts, workflows, exceptions, priorities, and desired user experiences. • Turn voice notes, meeting recordings, sketches, and scattered ideas into organized, searchable product knowledge. • Ask follow-up questions, identify contradictions, and distinguish confirmed decisions from assumptions and unresolved questions. • Maintain a searchable record of business rules, workflows, decisions, and revisions so another team member can pick up the work without relying on the founder's memory. 2. Perform business and product analysis • Define the user, problem, intended outcome, and business value behind each request. • Map current and proposed workflows, user journeys, roles, permissions, data needs, integrations, and exception paths. • Identify missing requirements, dependencies, duplicate requests, conflicting rules, and opportunities to simplify delivery. • Separate the minimum useful release from later enhancements and recommend scope based on value, urgency, effort, and dependencies. • Produce simple wireframes or annotated prototypes when visuals clarify the intended experience. 3. Prepare work engineering can execute • Translate approved concepts into concise product briefs, feature specifications, epics where useful, and small executable work items. • Write clear user stories or task descriptions with acceptance criteria, business rules, edge cases, dependencies, and relevant references. • Define loading, empty, error, and permission states where relevant to the experience. • Confirm readiness with engineering before work begins. Record the approved scope, accountable owner, agreed delivery date, dependencies, acceptance criteria, and evidence needed to verify completion. • Keep scope and acceptance criteria current when decisions change. 4. Manage delivery and feedback • Maintain the product backlog and delivery board in the company's selected project management system. • Coordinate priorities, owners, dependencies, milestones, and handoffs with engineering leadership. • Flag blockers and at-risk commitments before deadlines slip. Bring the CEO a short list of decisions needed and use written updates to protect engineering focus time. • Review demos against approved business requirements and capture specific feedback. Track business acceptance and link to QA and release status from the teams that own those checks. • Coordinate business acceptance with the CEO and track changes through completion. HOW YOU WILL USE AI Use AI daily to accelerate transcription, knowledge extraction, workflow mapping, first drafts of requirements, backlog organization, and consistency checks. Build reusable templates and prompts so repeated work gets faster without losing accuracy. An epic is an organizing container, not a complete engineering handoff. Our preferred approach is a living product specification linked to small, testable work items, supporting designs, and explicit acceptance criteria. Use epics when they help group related work. AI-generated requirements must be checked against source conversations and confirmed decisions. Never convert an AI assumption into an approved requirement. Use company-approved tools and follow company policies for confidential information and intellectual property. We may need to capture and structure more than 100 ideas or feature requests in a compressed period. You must be able to batch intake, identify duplicates, prioritize, and move the highest-value items into engineering readiness. The level of detail should match the complexity and risk of each item. CORE DELIVERABLES • A searchable product knowledge base and decision log. • Prioritized backlog with clear ownership, status, and dependencies. • Product briefs, workflow maps, and supporting wireframes. • Engineering-ready work items with measurable acceptance criteria. • A concise weekly CEO update showing what is in progress, who owns it, when it is due, what is blocked or at risk, what shipped, and which items passed business acceptance. BACKGROUND AND SKILLS • Early-career experience in technical project coordination, business analysis, product operations, or software delivery. Relevant internships and substantial project work count. Fintech experience is helpful and optional. • Experience turning founder or stakeholder conversations into requirements that engineers successfully delivered. • Working knowledge of web applications, APIs, databases, integrations, permissions, and the software development lifecycle. • Ability to read technical documentation and discuss implementation constraints with engineers; production coding is not required. • Practical experience using AI tools to accelerate analysis and documentation while verifying accuracy. • Strong interviewing, analytical writing, process mapping, organization, and follow-through. • Experience with tools such as ClickUp, Linear, Jira, or similar; familiarity with wireframing or prototyping tools. • Ability to respectfully challenge unclear ideas, ask direct questions, and keep discovery moving toward decisions. • Comfort working in office with a fast-moving founder and adapting as product understanding evolves. FIRST 30 DAYS Establish the intake process, product knowledge base, decision log, and requirements template. Capture and prioritize the initial body of ideas and deliver the first approved engineering handoffs. Run a repeatable discovery-to-engineering process, expand the organized backlog, and support delivery of the first prioritized features. Demonstrate consistent throughput, fewer clarification loops, traceable decisions, and delivered features that match the CEO's approved intent. HOW SUCCESS IS MEASURED • Speed from discovery to approved, engineering-ready requirements. • Clarity and completeness of handoffs, measured through engineering feedback. • Reduced rework caused by missing or misunderstood requirements. • Reliable visibility into priorities, dependencies, blockers, and decisions. • Delivered functionality that satisfies approved acceptance criteria. This role owns product requirements, project coordination, and business acceptance with the CEO. Engineering owns architecture, estimates, and implementation. Technology Operations owns independent QA, release verification, security governance, and technical documentation standards. APPLICATION Share an example of an ambiguous idea you turned into a shipped feature. Explain how you captured requirements, clarified open questions, worked with engineers, and verified the result. Include a sanitized example of a specification, workflow, or project board you created.
Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.
11/14/2026
Full time
Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/14/2026
Full time
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
11/14/2026
Full time
Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
Job Description Senior SAP Functional Analyst, Utilities Billing We are seeking a Senior SAP Functional Analyst to design, configure, and support SAP solutions for utility billing operations. This role combines deep SAP IS-U expertise with business analysis, solution design, troubleshooting, and technical leadership. You will partner with business and technology teams to deliver reliable solutions across the meter-to-cash lifecycle and support ongoing modernization initiatives. Job Details Salary: $100,000-$120,000/yr Location: Tampa, Florida Employment Type: Full time W-2 What You'll Do Configure, enhance, and support SAP IS-U Billing & Invoicing solutions, including billing schemas, rate models, regulated and deregulated tariffs, budget billing, real-time pricing, time-of-use billing, bill simulation, collective billing, and exception management. Lead functional analysis and solution design across Billing & Invoicing and SAP FICA or Device Management , including integration across the meter-to-cash lifecycle. Support complex implementations and integrations, including batch processing, web services, OData services, bill print processes, and SAP S/4HANA Utilities and Fiori environments. Partner with business stakeholders to translate operational, policy, and regulatory requirements into scalable SAP solutions, specifications, testing plans, and implementation deliverables. Serve as a technical and functional lead on projects, providing guidance on SAP best practices, troubleshooting complex issues, and coordinating work across business, IT, vendor, and support teams. Mentor SAP configuration professionals, review technical deliverables, establish team standards, and help ensure high-quality solutions. Contribute throughout the SDLC, from requirements analysis and estimation through configuration, testing, training, deployment, and ongoing application support. Support project planning, including budgets, forecasts, actuals, and project financial tracking as needed. Job Requirements Bachelor's degree in Information/Computer Science, Information Systems, Business Administration, Engineering, Mathematics, or a related discipline, or equivalent relevant experience. 8+ years of SAP configuration experience involving systems analysis, solution design, and development. Extensive SAP IS-U Billing & Invoicing expertise, with substantial experience spanning Billing & Invoicing plus SAP FICA or Device Management in utility environments. Strong understanding of electricity and/or gas meter-to-cash processes, including complex rate configuration, invoicing, billing exceptions, and integrations. Experience with SAP S/4HANA Utilities, Fiori, technical specifications, Agile delivery, and leading or mentoring technical team members. Preferred Qualifications A master's degree in a related discipline and SAP professional configuration certification in an applicable area such as Billing & Invoicing, FICA, or Device Management are preferred. Notes for review Salary, location, and employment type were not included in the source description and should be completed before publishing.
11/14/2026
Full time
Job Description Senior SAP Functional Analyst, Utilities Billing We are seeking a Senior SAP Functional Analyst to design, configure, and support SAP solutions for utility billing operations. This role combines deep SAP IS-U expertise with business analysis, solution design, troubleshooting, and technical leadership. You will partner with business and technology teams to deliver reliable solutions across the meter-to-cash lifecycle and support ongoing modernization initiatives. Job Details Salary: $100,000-$120,000/yr Location: Tampa, Florida Employment Type: Full time W-2 What You'll Do Configure, enhance, and support SAP IS-U Billing & Invoicing solutions, including billing schemas, rate models, regulated and deregulated tariffs, budget billing, real-time pricing, time-of-use billing, bill simulation, collective billing, and exception management. Lead functional analysis and solution design across Billing & Invoicing and SAP FICA or Device Management , including integration across the meter-to-cash lifecycle. Support complex implementations and integrations, including batch processing, web services, OData services, bill print processes, and SAP S/4HANA Utilities and Fiori environments. Partner with business stakeholders to translate operational, policy, and regulatory requirements into scalable SAP solutions, specifications, testing plans, and implementation deliverables. Serve as a technical and functional lead on projects, providing guidance on SAP best practices, troubleshooting complex issues, and coordinating work across business, IT, vendor, and support teams. Mentor SAP configuration professionals, review technical deliverables, establish team standards, and help ensure high-quality solutions. Contribute throughout the SDLC, from requirements analysis and estimation through configuration, testing, training, deployment, and ongoing application support. Support project planning, including budgets, forecasts, actuals, and project financial tracking as needed. Job Requirements Bachelor's degree in Information/Computer Science, Information Systems, Business Administration, Engineering, Mathematics, or a related discipline, or equivalent relevant experience. 8+ years of SAP configuration experience involving systems analysis, solution design, and development. Extensive SAP IS-U Billing & Invoicing expertise, with substantial experience spanning Billing & Invoicing plus SAP FICA or Device Management in utility environments. Strong understanding of electricity and/or gas meter-to-cash processes, including complex rate configuration, invoicing, billing exceptions, and integrations. Experience with SAP S/4HANA Utilities, Fiori, technical specifications, Agile delivery, and leading or mentoring technical team members. Preferred Qualifications A master's degree in a related discipline and SAP professional configuration certification in an applicable area such as Billing & Invoicing, FICA, or Device Management are preferred. Notes for review Salary, location, and employment type were not included in the source description and should be completed before publishing.
Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
11/14/2026
Full time
Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
Job Description Senior PolyPaths Consultant & L3 Support Lead About the role Arrayo builds and embeds senior delivery teams inside the risk and technology functions of major financial institutions. We're hiring a Senior PolyPaths Consultant & L3 Support Lead to support a fixed income risk platform, with a particular focus on mortgage products. You'll combine deep PolyPaths expertise with ownership of production support and hands-on data engineering. The work spans daily risk runs, complex incident resolution, platform configuration, and the pipelines and automation that connect PolyPaths to the broader risk environment. This role calls for someone who can get productive quickly, take responsibility for critical production processes, and work confidently with Market Risk, Quant, Front Office and technology stakeholders. What you'll do Serve as the PolyPaths subject matter expert across configuration, scenario setup, batch processing, and integration with upstream and downstream systems. Support mortgage and securitized product analytics across agency MBS, CMOs, TBAs, non-agency RMBS, CMBS and ABS, including prepayment and default assumptions, OAS, duration, convexity and key rate sensitivities. Own L3 production support: investigate complex incidents, identify root causes, implement permanent fixes, and protect service levels for daily and intraday risk runs. Lead post-incident reviews, maintain runbooks, mentor L1/L2 support analysts, and participate in the on-call rotation. Write and optimize SQL to validate and reconcile trades, positions, market data and risk results. Develop and maintain ETL workflows using SSIS or equivalent tooling, and build Databricks pipelines and notebooks using PySpark and SQL. Use Python to automate batch processes, monitoring, data validation, reconciliation and exception reporting. Support PolyPaths upgrades and model assumption changes through regression testing, UAT and release planning, coordinating with the vendor on defects and enhancements. Document systems, processes and fixes to support audit and control requirements, and transfer knowledge to permanent teams. What we're looking for At least five years of hands-on PolyPaths experience across configuration, analytics, integration or production support. Strong fixed income risk knowledge, particularly mortgage products, prepayment modeling and OAS analytics. Proven experience providing or leading L3 support in financial services, including incident, problem and change management. Strong Python skills, with experience developing production-quality scripts for automation, data processing and validation. Advanced SQL skills, including complex queries, performance tuning and stored procedures. Hands-on experience with SSIS or another enterprise ETL platform, such as Informatica, Talend, Azure Data Factory or DataStage. Practical Databricks experience, including Spark, Delta Lake, notebooks and job orchestration. Working knowledge of market risk measures, including sensitivities, VaR, scenario and stress analysis, and P&L explain. Strong troubleshooting skills, clear communication, and the ability to work effectively under pressure around critical risk deadlines. Experience with other analytics platforms such as Bloomberg, Yield Book, Intex or Aladdin; workflow schedulers; CI/CD tooling; cloud platforms; or regulatory frameworks such as FRTB and CCAR/DFAST would be a plus. Why Arrayo You'll join a firm of senior practitioners working across risk, data and technology at leading financial institutions. This engagement offers direct ownership of a critical risk platform, close collaboration with business and technical teams, and the opportunity to improve both production reliability and the underlying data processes.
11/14/2026
Full time
Job Description Senior PolyPaths Consultant & L3 Support Lead About the role Arrayo builds and embeds senior delivery teams inside the risk and technology functions of major financial institutions. We're hiring a Senior PolyPaths Consultant & L3 Support Lead to support a fixed income risk platform, with a particular focus on mortgage products. You'll combine deep PolyPaths expertise with ownership of production support and hands-on data engineering. The work spans daily risk runs, complex incident resolution, platform configuration, and the pipelines and automation that connect PolyPaths to the broader risk environment. This role calls for someone who can get productive quickly, take responsibility for critical production processes, and work confidently with Market Risk, Quant, Front Office and technology stakeholders. What you'll do Serve as the PolyPaths subject matter expert across configuration, scenario setup, batch processing, and integration with upstream and downstream systems. Support mortgage and securitized product analytics across agency MBS, CMOs, TBAs, non-agency RMBS, CMBS and ABS, including prepayment and default assumptions, OAS, duration, convexity and key rate sensitivities. Own L3 production support: investigate complex incidents, identify root causes, implement permanent fixes, and protect service levels for daily and intraday risk runs. Lead post-incident reviews, maintain runbooks, mentor L1/L2 support analysts, and participate in the on-call rotation. Write and optimize SQL to validate and reconcile trades, positions, market data and risk results. Develop and maintain ETL workflows using SSIS or equivalent tooling, and build Databricks pipelines and notebooks using PySpark and SQL. Use Python to automate batch processes, monitoring, data validation, reconciliation and exception reporting. Support PolyPaths upgrades and model assumption changes through regression testing, UAT and release planning, coordinating with the vendor on defects and enhancements. Document systems, processes and fixes to support audit and control requirements, and transfer knowledge to permanent teams. What we're looking for At least five years of hands-on PolyPaths experience across configuration, analytics, integration or production support. Strong fixed income risk knowledge, particularly mortgage products, prepayment modeling and OAS analytics. Proven experience providing or leading L3 support in financial services, including incident, problem and change management. Strong Python skills, with experience developing production-quality scripts for automation, data processing and validation. Advanced SQL skills, including complex queries, performance tuning and stored procedures. Hands-on experience with SSIS or another enterprise ETL platform, such as Informatica, Talend, Azure Data Factory or DataStage. Practical Databricks experience, including Spark, Delta Lake, notebooks and job orchestration. Working knowledge of market risk measures, including sensitivities, VaR, scenario and stress analysis, and P&L explain. Strong troubleshooting skills, clear communication, and the ability to work effectively under pressure around critical risk deadlines. Experience with other analytics platforms such as Bloomberg, Yield Book, Intex or Aladdin; workflow schedulers; CI/CD tooling; cloud platforms; or regulatory frameworks such as FRTB and CCAR/DFAST would be a plus. Why Arrayo You'll join a firm of senior practitioners working across risk, data and technology at leading financial institutions. This engagement offers direct ownership of a critical risk platform, close collaboration with business and technical teams, and the opportunity to improve both production reliability and the underlying data processes.
Job Description Our client, an asset management firm in New York City, is hiring a Full Stack .NET Developer for a consulting engagement on its financial operations platforms. Responsibilities Help shape the design of enhancements to the platforms Build new features across the C# back end and Angular front end Handle releases as updates go to production Troubleshoot and fix bugs as they come up Produce one-off reports when requested Review and clarify business requirements with Business Analysts Work closely with the client's New York development team Requirements 5+ years of hands-on C# and ASP.NET development on .NET Core or the .NET Framework Experience writing unit tests Strong front-end skills in Angular Hands-on work developing RESTful APIs Agile delivery experience, including Git version control, refactoring and mocking Strong SQL, ideally on Microsoft SQL Server or another relational database A firm grounding in OOP principles, common design patterns and coding best practices Comfort adjusting to shifting priorities on financial software projects Ability to pick up new tools and bring forward ideas to improve processes Openness to working in technologies outside .NET Pluses Working knowledge of a CI/CD or DevOps platform Exposure to an API integration platform Prior work on financial operations systems The role is hybrid, working from the client's New York City office part of the week. Work Authorization: Candidates must be currently authorized to work in the United States without employer sponsorship, now or in the future. H-1B transfers and visa sponsorship are not supported for this position.
11/14/2026
Full time
Job Description Our client, an asset management firm in New York City, is hiring a Full Stack .NET Developer for a consulting engagement on its financial operations platforms. Responsibilities Help shape the design of enhancements to the platforms Build new features across the C# back end and Angular front end Handle releases as updates go to production Troubleshoot and fix bugs as they come up Produce one-off reports when requested Review and clarify business requirements with Business Analysts Work closely with the client's New York development team Requirements 5+ years of hands-on C# and ASP.NET development on .NET Core or the .NET Framework Experience writing unit tests Strong front-end skills in Angular Hands-on work developing RESTful APIs Agile delivery experience, including Git version control, refactoring and mocking Strong SQL, ideally on Microsoft SQL Server or another relational database A firm grounding in OOP principles, common design patterns and coding best practices Comfort adjusting to shifting priorities on financial software projects Ability to pick up new tools and bring forward ideas to improve processes Openness to working in technologies outside .NET Pluses Working knowledge of a CI/CD or DevOps platform Exposure to an API integration platform Prior work on financial operations systems The role is hybrid, working from the client's New York City office part of the week. Work Authorization: Candidates must be currently authorized to work in the United States without employer sponsorship, now or in the future. H-1B transfers and visa sponsorship are not supported for this position.
Job Description Role Summary We are seeking talented, full-stack software engineers to join a team working on modern cloud-based platforms with direct impact on the investment process. Our team is modernizing legacy platforms and building the next generation of cloud-enabled applications used by Risk Analysts, Portfolio Managers, and Quants. This is a great opportunity for someone who wants to combine deep technical engineering with real business impact. This role is eligible for hybrid work, with up to three days per week from home. This is a full-time/salaried position, Visa sponsorship is not available for this role. Technology stack: C# / .NET, PostgreSQL, React, AWS (SNS/SQS, S3, Lambda, ECS, and DynamoDB), Snowflake, Dagster Responsibilities Design, build, and deliver scalable software solutions across applications, services, databases, and infrastructure Develop and enhance backend services and cloud-native applications using modern object-oriented languages, microservices patterns, and AWS or similar cloud technologies Take end-to-end ownership of applications and services, including development, support, troubleshooting, and continuous improvement Contribute to architecture and design discussions, evaluate tradeoffs, identify risks, and help drive technical alignment Apply modern engineering practices such as automated testing, code reviews, observability, CI/CD, and iterative delivery Qualifications Required: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field - or equivalent practical experience 5+ years of progressive software engineering experience building applications in object-oriented languages such as C#/.NET, Java, or similar Hands-on experience designing and delivering cloud-native solutions in AWS or a comparable cloud platform Strong understanding of distributed systems, backend application design, APIs, and data-intensive applications Experience contributing to technical design and architecture in a collaborative engineering environment
11/14/2026
Full time
Job Description Role Summary We are seeking talented, full-stack software engineers to join a team working on modern cloud-based platforms with direct impact on the investment process. Our team is modernizing legacy platforms and building the next generation of cloud-enabled applications used by Risk Analysts, Portfolio Managers, and Quants. This is a great opportunity for someone who wants to combine deep technical engineering with real business impact. This role is eligible for hybrid work, with up to three days per week from home. This is a full-time/salaried position, Visa sponsorship is not available for this role. Technology stack: C# / .NET, PostgreSQL, React, AWS (SNS/SQS, S3, Lambda, ECS, and DynamoDB), Snowflake, Dagster Responsibilities Design, build, and deliver scalable software solutions across applications, services, databases, and infrastructure Develop and enhance backend services and cloud-native applications using modern object-oriented languages, microservices patterns, and AWS or similar cloud technologies Take end-to-end ownership of applications and services, including development, support, troubleshooting, and continuous improvement Contribute to architecture and design discussions, evaluate tradeoffs, identify risks, and help drive technical alignment Apply modern engineering practices such as automated testing, code reviews, observability, CI/CD, and iterative delivery Qualifications Required: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field - or equivalent practical experience 5+ years of progressive software engineering experience building applications in object-oriented languages such as C#/.NET, Java, or similar Hands-on experience designing and delivering cloud-native solutions in AWS or a comparable cloud platform Strong understanding of distributed systems, backend application design, APIs, and data-intensive applications Experience contributing to technical design and architecture in a collaborative engineering environment
Job Description About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We've been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Preferred Location: Charlotte, NC Experience Level: 10+ Years of Experience Role purpose: Design, develop and harden a Universal Gateway that connects conversational AI agents to enterprise applications. The Gateway will manage conversation state, enforce business rules, execute authorized backend operations and return the data and guidance needed by the conversational agent. Key responsibilities: Design and implement Gateway APIs used by Google CXAS agents, including session initialization, journey resolution, state transitions and business-operation execution. Implement an external state engine covering current journey, active state, required information, pending actions, customer confirmation and completion status. Define versioned journey configurations, transition rules, policies and state-specific response guidance. Ensure the Gateway validates actions proposed by an agent against current state, identity, authorization and business rules. Develop adapters for customer backend systems using approved API contracts. Implement timeouts, retries, idempotency, concurrency controls and recovery from partial failures. Persist session state and audit records with appropriate isolation, retention and protection of customer data. Implement authentication, authorization, secrets management and service-to-service security. Provide correlated traces showing the incoming request, policy decision, state before and after, backend operation and response. Integrate automated tests and AgentCert evidence into the development workflow. Package and deploy services to the agreed Google Cloud environment, including Cloud Run where selected. Produce API documentation, architecture decisions, operational runbooks and handover material. Required skills: Strong production backend development experience in Python, Java preferably FastAPI or an equivalent framework. REST APIs, OpenAPI specifications, JSON Schema and typed request/response validation. Practical experience implementing workflow engines, finite-state machines or business-process orchestration. Distributed systems concepts: Concurrency, retries, timeouts and transaction boundaries. Experience with persistent data stores and session management. Google Cloud delivery experience, including IAM, containerized services, logging, monitoring and secrets management. Enterprise API integration and automated unit, integration and contract testing. Understanding of LLM tool calling and the distinction between model-generated intent and authorized business execution. Git, code reviews and CI/CD. Preferred skills: Telecom billing & background, customer service or service-restoration processes. Integration with Google CXAS or another conversational AI platform. Agent evaluation, failure injection, load testing and observability. Experience replacing synthetic adapters with enterprise backend integrations. What is in it for you: Be part of the fastest-growing AI-first digital transformation and engineering company in the world Be a leader of an energetic team of highly dynamic and talented individuals Exposure to working with fortune 500 companies and innovative market disruptors Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
11/14/2026
Full time
Job Description About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We've been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Preferred Location: Charlotte, NC Experience Level: 10+ Years of Experience Role purpose: Design, develop and harden a Universal Gateway that connects conversational AI agents to enterprise applications. The Gateway will manage conversation state, enforce business rules, execute authorized backend operations and return the data and guidance needed by the conversational agent. Key responsibilities: Design and implement Gateway APIs used by Google CXAS agents, including session initialization, journey resolution, state transitions and business-operation execution. Implement an external state engine covering current journey, active state, required information, pending actions, customer confirmation and completion status. Define versioned journey configurations, transition rules, policies and state-specific response guidance. Ensure the Gateway validates actions proposed by an agent against current state, identity, authorization and business rules. Develop adapters for customer backend systems using approved API contracts. Implement timeouts, retries, idempotency, concurrency controls and recovery from partial failures. Persist session state and audit records with appropriate isolation, retention and protection of customer data. Implement authentication, authorization, secrets management and service-to-service security. Provide correlated traces showing the incoming request, policy decision, state before and after, backend operation and response. Integrate automated tests and AgentCert evidence into the development workflow. Package and deploy services to the agreed Google Cloud environment, including Cloud Run where selected. Produce API documentation, architecture decisions, operational runbooks and handover material. Required skills: Strong production backend development experience in Python, Java preferably FastAPI or an equivalent framework. REST APIs, OpenAPI specifications, JSON Schema and typed request/response validation. Practical experience implementing workflow engines, finite-state machines or business-process orchestration. Distributed systems concepts: Concurrency, retries, timeouts and transaction boundaries. Experience with persistent data stores and session management. Google Cloud delivery experience, including IAM, containerized services, logging, monitoring and secrets management. Enterprise API integration and automated unit, integration and contract testing. Understanding of LLM tool calling and the distinction between model-generated intent and authorized business execution. Git, code reviews and CI/CD. Preferred skills: Telecom billing & background, customer service or service-restoration processes. Integration with Google CXAS or another conversational AI platform. Agent evaluation, failure injection, load testing and observability. Experience replacing synthetic adapters with enterprise backend integrations. What is in it for you: Be part of the fastest-growing AI-first digital transformation and engineering company in the world Be a leader of an energetic team of highly dynamic and talented individuals Exposure to working with fortune 500 companies and innovative market disruptors Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
Date Posted: 2026-08-20 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Raytheon's Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities. Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. The Operations and Mission Analysis (Southwest) department is currently seeking a Spacecraft Concept & Mission Engineer to support Raytheon's Advanced Technology organization. In this role, you will support Advanced Technology's Alternate Missions & Space product line in developing satellite technology, assessing mission CONOPs and constellations, and supporting new mission and program captures for national security space customers. Advanced Technology incubates new technologies and explores novel mission areas for the RTX business, captures new programs, and executes unique projects. You will be supporting new research and development with opportunities for developing inventions and intellectual property. This is an onsite role located in Tucson, AZ. What You Will Do You will join a team of engineers and analysts to realize team objectives: Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization. Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers. Develop common mission analysis, performance analysis, and mission planning toolsets for a portfolio of systems. Utilize grid computing infrastructure to enable generation and analysis of large datasets Produce visualizations of complex systems and mission CONOPs in STK or similar tools. Coordinate with product line management and customers Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture. Opportunities to pursue IRAD funding and author intellectual property disclosures. Engage directly in mission planning application software development and testing Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited by local laws/regulations. Depth in at least one system-level or subsystem-level technical domain: Guidance, Navigation, and Control Orbital Mechanics Mission Planning Mission Analysis / Performance Analysis Satellite Technology Multidisciplinary design, System-of-Systems design Experience with using programming languages such as Python, MATLAB, and/or C++ to model physical systems. Experience in one or more of the following skill areas: System performance, CONOPS Algorithms and signal processing Modeling and simulation (i.e., 6-DOF) An active and transferable Top Secret U.S. government issued security clearance is required at the time of application for this position, with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Advanced Degree in STEM (and can be considered as additional years of experience) An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics. Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked. Highly self-motivated and independent work ethic. Ability to question data and address root cause issues. Familiarity with Git version control and SLURM grid computing infrastructure. Experience with Ansys STK What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/14/2026
Full time
Date Posted: 2026-08-20 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Raytheon's Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities. Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. The Operations and Mission Analysis (Southwest) department is currently seeking a Spacecraft Concept & Mission Engineer to support Raytheon's Advanced Technology organization. In this role, you will support Advanced Technology's Alternate Missions & Space product line in developing satellite technology, assessing mission CONOPs and constellations, and supporting new mission and program captures for national security space customers. Advanced Technology incubates new technologies and explores novel mission areas for the RTX business, captures new programs, and executes unique projects. You will be supporting new research and development with opportunities for developing inventions and intellectual property. This is an onsite role located in Tucson, AZ. What You Will Do You will join a team of engineers and analysts to realize team objectives: Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization. Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers. Develop common mission analysis, performance analysis, and mission planning toolsets for a portfolio of systems. Utilize grid computing infrastructure to enable generation and analysis of large datasets Produce visualizations of complex systems and mission CONOPs in STK or similar tools. Coordinate with product line management and customers Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture. Opportunities to pursue IRAD funding and author intellectual property disclosures. Engage directly in mission planning application software development and testing Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited by local laws/regulations. Depth in at least one system-level or subsystem-level technical domain: Guidance, Navigation, and Control Orbital Mechanics Mission Planning Mission Analysis / Performance Analysis Satellite Technology Multidisciplinary design, System-of-Systems design Experience with using programming languages such as Python, MATLAB, and/or C++ to model physical systems. Experience in one or more of the following skill areas: System performance, CONOPS Algorithms and signal processing Modeling and simulation (i.e., 6-DOF) An active and transferable Top Secret U.S. government issued security clearance is required at the time of application for this position, with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Advanced Degree in STEM (and can be considered as additional years of experience) An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics. Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked. Highly self-motivated and independent work ethic. Ability to question data and address root cause issues. Familiarity with Git version control and SLURM grid computing infrastructure. Experience with Ansys STK What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
