382 jobs found

Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions-including sponsored, display, video, and custom ads-leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We are looking for a Senior Software Developer with a passion for dealing with internet scale datasets to work on Amazon's Analytics, Forecasting and Optimization Platform for advertising. Our platform is used across Amazon by a variety of advertising programs including Display, Video, Mobile and Kindle. Our team builds end-to-end solutions including data pipelines, large scale index data structures, time series models, software services and large scale data visualizations. Our systems are based on a mix of AWS and third-party technologies, using ones that make the best sense in a given scenario. Key job responsibilities - Own backend data pipelines, indexing systems and service & API layer application support. - Work closely with a group of highly talented and motivated software and data science engineers who build systems and models used to analyze petabytes of data - Build systems and models to analyze supply and demand side of our advertising business and devise optimization methods. - Work on analyzing exchange bidding behavior, time series modeling, optimal inventory allocation and many other exciting problems posed by a advertising business - Invent ways to overcome technical limitations and enable new forms of analyses that drive key business decisions - Investigate new technologies and champion adoption within the team - Work on a platform that spans Hadoop, Map/Reduce, Pig, FastBit, Redshift, and S3 using programming languages such as Java, C++ and Python - Mentor junior team members - Directly participate in setting the vision and objectives for strategic Amazon goals, in alignment with business needs and ad market dynamics. - Find new ways to use variety of Amazon's data sets to help one of the fastest growing businesses within Amazon BASIC QUALIFICATIONS - 8+ years of non-internship professional software development experience - 8+ years of programming with at least one software programming language experience - 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems - Experience with and deep understanding of advertising technologies (i.e., ad server, DSP) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Palo Alto - 193 500.00 USD annually USA, NY, New York - 184 200.00 USD annually

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon is continuously striving to be the most customer-centric company in the world. AWS have been helping over one million customers in over 190 countries, from Airbnb to GE, to deliver flexibility, scalability and reliability across their organizations. Behind this success is exceptionally talented, bright and driven individuals who work hard, have fun and make history." In your role, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's utility computing web services within strategic Enterprise accounts. You will represent AWS in face-to-face meetings and own the overall technical relationship between AWS and the customer. This role will engage with enterprise customers across a broad range of industry verticals including Travel and Transportation, Tourism and Leisure, Fast-Moving Consumer Goods (FMCG), Pharmaceuticals & Healthcare and Business Services. Technology trends in these verticals include IoT, Big Data, Analytics, AI/ML, Serverless and traditional cloud migrations of compute, storage and associated applications. The ideal candidate will need to demonstrate: Deep technical skill in infrastructure, software architecture and cloud computing Customer facing skills, ideally gained in presales or consultancy roles, allowing them to represent AWS in discussions with senior personnel Demonstrated ability to think strategically about solutions to business, product, and technical challenges. Awareness of technology trends and how they impact the way businesses consume IT This position requires U.S. citizenship and the ability to obtain and maintain a U.S. government security clearance. Key job responsibilities Support the AWS Business development team to help formulate a strategy to help the adoption of AWS within the focus industry verticals. Guide customers to ensure success in building and migrating applications, software and services following the principles of the AWS Well-Architected Framework. Help educate enterprise customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud. Help provide one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS. Capture and share best-practice knowledge among the AWS solutions architecture community. Author or otherwise contribute to AWS customer-facing publications such as blogs and whitepapers. Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates. Act as a technical liaison between customers, service engineering teams and support. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience PREFERRED QUALIFICATIONS - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Dallas - 153 800.00 USD annually USA, VA, Herndon - 153 800.00 USD annually

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon is continuously striving to be the most customer-centric company in the world. AWS have been helping over one million customers in over 190 countries, from Airbnb to GE, to deliver flexibility, scalability and reliability across their organizations. Behind this success is exceptionally talented, bright and driven individuals who work hard, have fun and make history." In your role, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's utility computing web services within strategic Enterprise accounts. You will represent AWS in face-to-face meetings and own the overall technical relationship between AWS and the customer. This role will engage with enterprise customers across a broad range of industry verticals including Travel and Transportation, Tourism and Leisure, Fast-Moving Consumer Goods (FMCG), Pharmaceuticals & Healthcare and Business Services. Technology trends in these verticals include IoT, Big Data, Analytics, AI/ML, Serverless and traditional cloud migrations of compute, storage and associated applications. The ideal candidate will need to demonstrate: Deep technical skill in infrastructure, software architecture and cloud computing Customer facing skills, ideally gained in presales or consultancy roles, allowing them to represent AWS in discussions with senior personnel Demonstrated ability to think strategically about solutions to business, product, and technical challenges. Awareness of technology trends and how they impact the way businesses consume IT This position requires U.S. citizenship and the ability to obtain and maintain a U.S. government security clearance. Key job responsibilities Support the AWS Business development team to help formulate a strategy to help the adoption of AWS within the focus industry verticals. Guide customers to ensure success in building and migrating applications, software and services following the principles of the AWS Well-Architected Framework. Help educate enterprise customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud. Help provide one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS. Capture and share best-practice knowledge among the AWS solutions architecture community. Author or otherwise contribute to AWS customer-facing publications such as blogs and whitepapers. Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates. Act as a technical liaison between customers, service engineering teams and support. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience implementing AWS services in a variety of distributed computing environments PREFERRED QUALIFICATIONS - 5+ years of IT implementation experience - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Dallas - 131 600.00 USD annually USA, VA, Herndon - 131 600.00 USD annually

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We're rebuilding the AWS product catalog for an AI-native world, and this role owns both how it's defined and how it grows. You'll set the standards every AWS product follows and define the new features, packages, and add-ons that service teams bring to customers, building the machine-readable foundation that billing, cost management, and AI agents all depend on. The AWS Billing organization serves over 200 AWS services across 30+ regions, and every one needs a product definition that is structurally correct, consistently described, and rich enough for both humans and AI to reason about. This is the foundation for commercial decisions made by external customers and internal teams. As Senior Product Manager - Technical External Services, you'll own the AWS product model end to end: the schema, governance rules, and quality standards every product conforms to, and the new product structures service teams build on top of them. You'll define what attributes a product carries from creation, how to create standard models for different types of services (from compute and storage to AI inference and developer tools), how products relate to and compose with one another in packages and shared commercial experiences, and how the catalog enables AI agents to discover, compare, and act on products programmatically. You'll also extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration rather than custom engineering. Your work directly determines how AWS services launch and grow their products. In this role, you'll architect the data model that underlies AWS commerce, define the governance framework that enforces it across hundreds of service teams, and establish the lifecycle and relationship standards that let products evolve and work consistently across commercial channels. You'll conduct direct research with service teams and internal consumers of product data to understand where definitions break down, translating those insights into schema improvements and governance rules. You'll work at the intersection of data architecture, billing infrastructure, and AI-native product design, defining how AWS products present themselves to the next generation of consumers. You'll collaborate with engineering teams across AWS's billing, metering, and cost management organizations. This role requires deep technical fluency in data modeling, schema design, and systems thinking, combined with the product instinct to know which standards matter and which create bureaucracy. If you're excited about defining the foundational data layer that makes AWS's commerce systems work this role offers the chance to shape how every AWS product is defined, described, and used across AWS commerce. Key job responsibilities - Define product framework: schema, required attributes, quality rules, and lifecycle governance for every AWS product - Define standard product models and product-relationship patterns for different service categories - Extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration - Architect agent-readable product metadata standards for AI consumption across internal and external experiences - Drive adoption of product standards across new offerings and established catalog systems - Conduct direct research with service teams and product data consumers to identify where definitions break down and drive improvements - Partner with engineering teams across AWS's billing, metering, and cost management organizations BASIC QUALIFICATIONS - 3+ years of working as a Technical Product Manager experience - Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Bachelor's degree in computer science, engineering, math, finance, or economics PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies - 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - Experience developing, deploying and managing AI products at scale - Experience with billing, commerce, or catalog systems - Experience building or designing agentic products and interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 167 500.00 USD annually

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description TITLE: eCommerce Operations Engineer (contractor) Groundbreaking advances in synthetic biology achieved at Client X allow us to create products that are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our consumer brands to global significance and impact. Up from three at the start of the year, today we support nine exciting brands: Biossance, Pipette, Costa Brazil, Purecane, OLIKA, Terasana, Rose, Inc., JVN Hair, and Eco Fabulous The compute ecosystem for the consumer business consists of Shopify, custom Shopify apps, Boomi, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third-party and internally created software. We will also launch our largest brand, Biossance, in different languages in 2021, the first step in a global e-commerce expansion. We are hiring an engineer who is passionate about delivering operational excellence. You know how to deal with ambiguity and prioritize your tasks in a fast-paced environment. The impact of this role is highly visible to our senior business leaders. You will lead mission-critical integrations and crisis management for our eCommerce stores. You have the knowledge and confidence to advise others on the best practices in operations and develop a roadmap with our team for our future operations' growth. Responsibilities: Develop and support Integrations between Shopify, Boomi, NetSuite, and Salesforce. Enforce and improve eCommerce operations policies including change management, user governance, data access control, and incident management. Communicate with business stakeholders, collect requirements, and collaborate with overseas developers to continuously improve our eCommerce systems. Monitor the health status of our eCommerce systems and email marketing campaigns through analytics and key metrics. Immediately address any risks that impact our live operations. On-call for emergency operation issues. Use your passion, skills, and wisdom to bring our digital platforms to their full potential in the best customer experience and growth for our brands. Required Qualifications: Bachelor's degree. Ten (10+) years related experience in system engineering and integration. Five (5+) years of experience in project management in system integration. Five (5+) years in enforcing and improving software change management in live operations. Excellent communicator who explains technical details in nontechnical language. Solid understanding of cybersecurity. Demonstrated ability to work as part of a cross-functional team and willingness to take on responsibilities outside primary job description when necessary. Proficient with MS Office, Google Suite, and Jira. Preferred Qualifications: Experience in Shopify, Google Analytics, Google Search Console, and Google Tag Management is highly preferred. Experience with Accessible Rich Internet Applications (ARIA) is a big plus.

Job Description Job Description SAP Technical Lead North Point Technology is seeking an experienced ERP Technical Lead to provide strategic and technical leadership across global SAP, Oracle, and enterprise application environments. This role focuses on ERP architecture, platform security, integrations, application development, cloud transformation, and operational reliability. The ideal candidate will lead global technical teams and ensure ERP platforms remain secure, scalable, compliant, and aligned with business transformation objectives. Responsibilities: Lead the global ERP technology strategy, architecture, and roadmap across SAP, Oracle, and related enterprise platforms. Manage and support SAP ECC, EWM, GRC, SNC, SRM, Solution Manager, SAP PO, SAP Portals, and Oracle applications. Establish enterprise architecture standards and design scalable, secure, and resilient ERP environments. Own ERP security, user-access governance, Segregation of Duties (SoD), SOX compliance, and audit readiness. Lead SAP and Oracle development, customizations, enhancements, APIs, Fiori/UI5 applications, and technical delivery. Define integration strategies across SAP, Oracle, cloud platforms, EDI, middleware, APIs, and third-party applications. Oversee system performance, monitoring, upgrades, enhancement packs, OSS Notes, vulnerability remediation, and operating system and database migrations. Ensure platform availability, stability, disaster recovery, backup readiness, and operational excellence across global ERP environments. Lead cloud-transformation initiatives and support hybrid-cloud ERP architecture. Drive the adoption of artificial intelligence, machine learning, automation, predictive analytics, and intelligent ERP processes. Gather business requirements and translate them into secure, scalable, and compliant technical solutions. Ensure ERP configurations, custom developments, integrations, and technical processes meet quality, security, and compliance standards. Lead global ERP implementations, plant deployments, acquisitions, divestitures, system conversions, and rollout programs. Manage technology vendors, system integrators, and strategic partners to ensure successful delivery and measurable business value. Lead and mentor global teams of architects, developers, security specialists, database administrators, and platform engineers. Identify technology gaps, operational risks, and improvement opportunities while ensuring timely resolution and proactive risk mitigation. Drive continuous improvement, automation, cost optimization, platform modernization, and technical-debt reduction. Partner with business and IT leaders to align ERP investments with organizational goals and digital-transformation initiatives. Provide governance across ERP application development, including coding standards, architectural compliance, code quality, secure development practices, CI/CD pipelines, and application lifecycle management. Requirements/Qualifications: Bachelor's degree in a business or technical discipline, or at least eight years of equivalent related professional experience. At least 10 years of related professional experience in SAP Basis, SAP Security, and Oracle database administration. Strong experience designing and leading enterprise IT architecture. Expert knowledge of SAP Basis and Security across SAP ECC, EWM, Fiori, PO, GRC, Solution Manager, and SAP Portals. Hands-on experience with SAP HANA implementations, administration, configuration, migrations, and performance troubleshooting. Experience completing SAP implementations, upgrades, enhancement packs, and operating system and database migrations. Experience integrating SAP and Oracle with cloud and enterprise solutions such as SuccessFactors, Concur, Ariba, OneSource, Warehouse Management, and Oracle GoldenGate. Experience supporting high-availability environments and Linux Red Hat Enterprise Linux platforms. Strong knowledge of SAP Solution Manager, including Root Cause Analysis, CCMS, EarlyWatch Alert, technical monitoring, data-volume management, interface monitoring, and business-process monitoring. Experience managing SAP GRC, ERP security, user access, and Segregation of Duties controls. Experience completing at least two end-to-end ERP implementations. Experience designing and supporting disaster recovery, backup, and recovery strategies. Strong knowledge of SAP bolt-on applications and enterprise-system integrations. Extensive SAP Basis administration experience, including Suite on HANA, SAP NetWeaver, and dual-landscape environments. Ability to communicate complex technical information clearly to technical and nontechnical stakeholders. Strong analytical, decision-making, leadership, presentation, and written communication skills. Fluency in written and spoken English. Preferred Qualifications: Master's degree in a business or technical discipline. SAP Administration certification. SAP operating system and database migration certification. Experience supporting ERP platforms in virtualized environments such as VMware. Experience working with structured project-delivery methodologies. Experience gathering requirements and developing process models, functional specifications, and integration-test plans. Experience conducting system testing, integration testing, and user-acceptance testing. Strong understanding of business processes and how they integrate across enterprise systems. Experience mentoring global technical teams and managing complex, cross-functional ERP programs. North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country's most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer's most difficult problems. At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members. Come join us! Apply with North Point Technology today! For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.

Job Description Job Description SAP Technical Lead North Point Technology is seeking an experienced ERP Technical Lead to provide strategic and technical leadership across global SAP, Oracle, and enterprise application environments. This role focuses on ERP architecture, platform security, integrations, application development, cloud transformation, and operational reliability. The ideal candidate will lead global technical teams and ensure ERP platforms remain secure, scalable, compliant, and aligned with business transformation objectives. Responsibilities: Lead the global ERP technology strategy, architecture, and roadmap across SAP, Oracle, and related enterprise platforms. Manage and support SAP ECC, EWM, GRC, SNC, SRM, Solution Manager, SAP PO, SAP Portals, and Oracle applications. Establish enterprise architecture standards and design scalable, secure, and resilient ERP environments. Own ERP security, user-access governance, Segregation of Duties (SoD), SOX compliance, and audit readiness. Lead SAP and Oracle development, customizations, enhancements, APIs, Fiori/UI5 applications, and technical delivery. Define integration strategies across SAP, Oracle, cloud platforms, EDI, middleware, APIs, and third-party applications. Oversee system performance, monitoring, upgrades, enhancement packs, OSS Notes, vulnerability remediation, and operating system and database migrations. Ensure platform availability, stability, disaster recovery, backup readiness, and operational excellence across global ERP environments. Lead cloud-transformation initiatives and support hybrid-cloud ERP architecture. Drive the adoption of artificial intelligence, machine learning, automation, predictive analytics, and intelligent ERP processes. Gather business requirements and translate them into secure, scalable, and compliant technical solutions. Ensure ERP configurations, custom developments, integrations, and technical processes meet quality, security, and compliance standards. Lead global ERP implementations, plant deployments, acquisitions, divestitures, system conversions, and rollout programs. Manage technology vendors, system integrators, and strategic partners to ensure successful delivery and measurable business value. Lead and mentor global teams of architects, developers, security specialists, database administrators, and platform engineers. Identify technology gaps, operational risks, and improvement opportunities while ensuring timely resolution and proactive risk mitigation. Drive continuous improvement, automation, cost optimization, platform modernization, and technical-debt reduction. Partner with business and IT leaders to align ERP investments with organizational goals and digital-transformation initiatives. Provide governance across ERP application development, including coding standards, architectural compliance, code quality, secure development practices, CI/CD pipelines, and application lifecycle management. Requirements/Qualifications: Bachelor's degree in a business or technical discipline, or at least eight years of equivalent related professional experience. At least 10 years of related professional experience in SAP Basis, SAP Security, and Oracle database administration. Strong experience designing and leading enterprise IT architecture. Expert knowledge of SAP Basis and Security across SAP ECC, EWM, Fiori, PO, GRC, Solution Manager, and SAP Portals. Hands-on experience with SAP HANA implementations, administration, configuration, migrations, and performance troubleshooting. Experience completing SAP implementations, upgrades, enhancement packs, and operating system and database migrations. Experience integrating SAP and Oracle with cloud and enterprise solutions such as SuccessFactors, Concur, Ariba, OneSource, Warehouse Management, and Oracle GoldenGate. Experience supporting high-availability environments and Linux Red Hat Enterprise Linux platforms. Strong knowledge of SAP Solution Manager, including Root Cause Analysis, CCMS, EarlyWatch Alert, technical monitoring, data-volume management, interface monitoring, and business-process monitoring. Experience managing SAP GRC, ERP security, user access, and Segregation of Duties controls. Experience completing at least two end-to-end ERP implementations. Experience designing and supporting disaster recovery, backup, and recovery strategies. Strong knowledge of SAP bolt-on applications and enterprise-system integrations. Extensive SAP Basis administration experience, including Suite on HANA, SAP NetWeaver, and dual-landscape environments. Ability to communicate complex technical information clearly to technical and nontechnical stakeholders. Strong analytical, decision-making, leadership, presentation, and written communication skills. Fluency in written and spoken English. Preferred Qualifications: Master's degree in a business or technical discipline. SAP Administration certification. SAP operating system and database migration certification. Experience supporting ERP platforms in virtualized environments such as VMware. Experience working with structured project-delivery methodologies. Experience gathering requirements and developing process models, functional specifications, and integration-test plans. Experience conducting system testing, integration testing, and user-acceptance testing. Strong understanding of business processes and how they integrate across enterprise systems. Experience mentoring global technical teams and managing complex, cross-functional ERP programs. North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country's most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer's most difficult problems. At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members. Come join us! Apply with North Point Technology today! For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, tech background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Join the Data & AI team as a Go-To-Market Specialist focused on Search and AI! This is an exciting opportunity to shape the future of intelligent search experiences powered by AI. As part of our Worldwide Specialist Organization, you will lead the go-to-market strategy for AWS's Search and AI services - including Amazon OpenSearch Service and related AI-powered search capabilities - helping customers unlock the value of their data through vector search, semantic search, retrieval-augmented generation (RAG), and generative AI applications. You'll work closely with product and engineering teams to translate technical capabilities into business solutions that drive customer value across geographies and verticals. Key job responsibilities Lead GTM strategy and sales motions for AWS Search and AI services, orchestrating across sales, marketing, partner, product, training, and professional services teams to accelerate adoption. Leverage deep domain expertise in search technologies and AI/ML to create best-in-class field enablement and sales programs. Support field teams in solution building for high-priority customers implementing intelligent search, RAG architectures, and AI-driven analytics. Bring market signals back to product teams to drive innovation on the OpenSearch and Search AI roadmap. Own reporting and planning cadences to AWS executives on GTM plan execution. Represent AWS with thought leadership at industry events, conferences, and symposiums. A day in the life You'll start mornings reviewing pipeline metrics and customer adoption trends for Search and AI workloads. Mid-day involves collaborating with field teams on customer architectures, running enablement sessions, or joining customer calls to position OpenSearch and AI-powered search solutions. Afternoons are spent refining GTM programs, aligning with product teams on roadmap priorities, and developing scalable plays that the broader AWS field can execute independently. About the team The AWS Data & AI Specialist team drives adoption of AWS's most innovative services at the intersection of search, analytics, and artificial intelligence. We are builders and strategists who partner across AWS to bring cutting-edge search and AI capabilities to customers worldwide. Our team values curiosity, ownership, and delivering measurable customer outcomes in a fast-paced, high-growth segment of the business. BASIC QUALIFICATIONS - 5+ years of developing, negotiating and executing business agreements experience - 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Knowledge of publisher ad tech stacks and/or advertising technology - Experience developing strategies that influence leadership decisions at the organizational level - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience selling enterprise software or cloud-based applications - Experience presenting to both technical and non-technical executive audiences - Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology PREFERRED QUALIFICATIONS - Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate - Experience interpreting data and making business recommendations - Experience identifying, negotiating, and executing complex legal agreements - Experience designing, implementing, and scaling workforce development programs across large-scale operations, including forecasting workforce needs and leveraging analytics to drive program decisions - Experience interpreting data and making business recommendations across leadership and cross-functional teams - Experience using analytical tools for workforce metrics and reporting Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Mountain View - 162 200.00 USD annually USA, WA, Seattle - 147 100.00 USD annually

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Develop, implement, and validate statistical models and analytical methodologies to support client mission objectives Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets Design and deploy predictive and prescriptive models to enable data-driven decision-making Apply advanced analytics to Navy-specific domains such as logistics , maintenance, and operational readiness Collaborate with data engineers, developers, and stakeholders to operationalize models within production environments Translate business questions into analytical approaches and clearly communicate findings to technical and non-technical audiences Build and maintain reusable analytical frameworks, code libraries, and model pipelines Apply machine learning techniques to solve classification, regression, clustering, and optimization problems Develop dashboards and visualizations, including Qlik applications, to communicate insights and model outputs effectively Conduct model validation, tuning, and performance monitoring to ensure accuracy and reliability Document methodologies, assumptions, and results to support transparency and reproducibility What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelor's degree THREE (3) or more years of experience in data science, advanced analytics, or applied statistical modeling roles Experience in Python, R, and SQL for data analysis, modeling, and data manipulation Experience applying machine learning techniques and statistical methods to real-world datasets Experience working with large, complex datasets across logistics , maintenance, supply chain, or readiness domains Experience developing data visualizations and dashboards using Qlik or similar tools Experience working within cloud or big data environments such as Databricks or similar platforms Experience working in Agile or iterative development environments Experience supporting government or defense clients (Navy experience preferred) Ability to work onsite in a client environment as required What Would Be Nice To Have: Familiarity with deploying models or integrating analytics into operational workflows Strong foundation in statistics, mathematics, or quantitative analysis (e.g., regression, hypothesis testing, time series analysis) Statistical modeling and machine learning Ability to translate complex analytical outputs into actionable recommendations for stakeholders Experience working alongside or within data platforms (e.g., Palantir Foundry or similar environments) is a plus Data analysis and interpretation Python, R, SQL programming Data visualization (Qlik, Tableau, Power BI, etc.) Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.) What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Develop, implement, and validate statistical models and analytical methodologies to support client mission objectives Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets Design and deploy predictive and prescriptive models to enable data-driven decision-making Apply advanced analytics to Navy-specific domains such as logistics , maintenance, and operational readiness Collaborate with data engineers, developers, and stakeholders to operationalize models within production environments Translate business questions into analytical approaches and clearly communicate findings to technical and non-technical audiences Build and maintain reusable analytical frameworks, code libraries, and model pipelines Apply machine learning techniques to solve classification, regression, clustering, and optimization problems Develop dashboards and visualizations, including Qlik applications, to communicate insights and model outputs effectively Conduct model validation, tuning, and performance monitoring to ensure accuracy and reliability Document methodologies, assumptions, and results to support transparency and reproducibility What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelor's degree THREE (3) or more years of experience in data science, advanced analytics, or applied statistical modeling roles Experience in Python, R, and SQL for data analysis, modeling, and data manipulation Experience applying machine learning techniques and statistical methods to real-world datasets Experience working with large, complex datasets across logistics , maintenance, supply chain, or readiness domains Experience developing data visualizations and dashboards using Qlik or similar tools Experience working within cloud or big data environments such as Databricks or similar platforms Experience working in Agile or iterative development environments Experience supporting government or defense clients (Navy experience preferred) Ability to work onsite in a client environment as required What Would Be Nice To Have: Familiarity with deploying models or integrating analytics into operational workflows Strong foundation in statistics, mathematics, or quantitative analysis (e.g., regression, hypothesis testing, time series analysis) Statistical modeling and machine learning Ability to translate complex analytical outputs into actionable recommendations for stakeholders Experience working alongside or within data platforms (e.g., Palantir Foundry or similar environments) is a plus Data analysis and interpretation Python, R, SQL programming Data visualization (Qlik, Tableau, Power BI, etc.) Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.) What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Description Job Description Overview Lead Analytics & Visual Operation Engineer Springfield, VA Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! Chenega Agile Real-Time Solutions (CARS) was created with the purpose of providing integrated enterprise IT support to Federal customers both CONUS and OCONUS. CARS employs Subject Matter Experts (SMEs) with decades of experience working in the Federal marketplace. The Lead Analytics & Visualization Operations Engineer is responsible for leading the design, development, and sustainment of operational analytics dashboards and websites that provide mission-critical insights for NGA executives and leadership. This role ensures the operational continuity and effectiveness of visualization solutions, enabling data-driven decision-making across the organization. As a Lead member of the team, this individual will supervise a small, growing team while also performing hands-on development, maintenance, and analysis of data visualization solutions. The ideal candidate is a proactive problem-solver with deep expertise in analytics, visualization technologies, and IT service operations. Responsibilities Supervise and mentor junior team members, providing guidance on analytics, visualization, and operations support. Oversee workload distribution, ensuring timely project completion and operational support. Serve as the primary point of contact for stakeholders, ensuring high-quality service delivery. Collect, condition, and analyze data to identify patterns, trends, and actionable insights. Utilize advanced analytics tools to provide real-time, meaningful visualizations for IT service and operations management. Ensure the accuracy and integration of data sources, maintaining high-quality outputs for leadership decision-making. Oversee the sustainment and management of Application Programming Interfaces (APIs) and data content sources. Troubleshoot and resolve technical issues related to operational analytics dashboards and websites. Implement best practices for data security, governance, and compliance within visualization tools. Provide superior customer service to internal stakeholders, ensuring visualization solutions meet mission needs. Collaborate with cross-functional teams to refine analytics and visualization capabilities. Develop user documentation and training materials to enhance the adoption and usability of analytics tools. Supervisory Responsibilities Other duties as assigned Qualifications High School Diploma with GED equivalent, 10+ years of relevant experience OR: Associate's degree and 6+ years' experience OR: Bachelor's Degree and 4+ years' experience Relevant experience in the following: Analytics Visual Operations Data Collection Experience in the Intelligence Community TS/SCI clearance with the ability to obtain CI poly Successfully pass background and drug screening Preferred Qualifications: Experience leading or mentoring technical teams supporting enterprise analytics, data visualization, or IT operations. Experience developing operational dashboards using tools such as Grafana, Power BI, Tableau, Kibana, or similar analytics and visualization platforms. Proficiency with SQL, Python, PowerShell, or similar scripting languages to automate data collection, analysis, and reporting. Experience supporting the National Geospatial-Intelligence Agency (NGA), Department of Defense (DoD), or other Intelligence Community (IC) organizations. Knowledge, Skills, and Abilities: Ability to work independently and yet be effective within a team setting Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others. Excellent skills in Microsoft Word, Excel, and other Office applications Proficient with Microsoft Office Applications, and experience working in a home office setting as well as the ability to train end users on frequently asked technical issues. Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired. Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it How you'll grow At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers. Benefits At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits. Learn more about what working at Chenega MIOS can mean for you. Chenega MIOS's culture Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives. Corporate citizenship Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Chenega's impact on the world. Chenega MIOS News- Tips from your Talent Acquisition Team We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links: Chenega MIOS web site - Glassdoor at-Chenega-MIOS- EI_IE369514.11,23.htm LinkedIn - Facebook - Agile Real Time Solutions, LLC

CryptoAnalyzer, a leader in cryptocurrency analytics and blockchain solutions, seeks an RRT PRN Seasonal professional to support our finance and insurance analytics team during peak project cycles. In this role, you will review, reconcile, and test financial risk models, transaction reports, and trend dashboards related to digital assets. You'll collaborate with blockchain engineers and data scientists to validate datasets, flag anomalies, and document findings. This seasonal, as-needed position is ideal for detail-oriented analysts seeking hands-on exposure to cutting-edge crypto finance operations in a fast-paced, innovative environment. Responsibilities Support review and testing of cryptocurrency financial risk models and reports Reconcile data across multiple blockchain and market data sources Validate dashboards and transaction analytics for accuracy and completeness Identify and document anomalies, trends, and potential data quality issues Collaborate with data scientists and engineers on dataset improvements Prepare clear documentation for analysis methods and findings Assist with ad hoc queries and reporting for finance and insurance clients Follow internal controls and compliance guidelines for financial data Required Skills Financial data analysis Cryptocurrency and blockchain fundamentals Risk modeling support Data reconciliation and validation SQL or similar query languages Excel/Google Sheets (advanced) Dashboard and reporting tools (e.g., Power BI, Tableau) Statistical analysis basics Documentation and audit support Compliance awareness in finance/insurance

Preferred Qualifications: 10+ years of backend software engineering in Java/Spring 3+ years of DevOps, SRE, or infrastructure engineering experience Experience with banking or financial services domain (profiles, accounts, entitlements, audit) Familiarity with APIGEE API gateway or similar Hands-on experience with Helm charts in production environments Experience with Kubernetes in production (AKS, EKS, or GKE) Knowledge of GitOps practices and tools (ArgoCD, Flux) Experience with Databricks for audit reporting or analytics Knowledge of PowerShell for operational scripting Contributions to open-source projects or published technical writing Experience with incident response and RCA (root cause analysis) documentation Familiarity with container security and image scanning tools Key Responsibilities: Design & implement REST APIs that maintain backward compatibility while evolving the entitlements domain model Orchestrate complex business workflows across multiple external systems (APIGEE, Interpose SOAP passthrough, Azure services) Own integration boundaries with downstream systems, including error handling, retry logic, idempotency, and response translation Build and maintain data persistence layers using Spring Data JPA / Hibernate against Azure SQL, with careful attention to transaction semantics and audit trails Implement caching strategies using Redis/Redisson for performance-critical paths Write production-grade tests that verify behavior, not just coverage unit, service, and resource-layer tests Design and maintain Helm charts for Kubernetes deployments across multiple environments Implement CI/CD pipelines and deployment automation using modern DevOps practices Manage containerization with Docker, optimize images, and ensure security best practices Investigate and resolve production incidents using Dynatrace, DQL queries, and log analysis Document design decisions in architecture records and implementation plans; maintain alignment between code and documentation Mentor junior engineers on domain knowledge, testing practices, and architectural patterns specific to this system

Job DescriptionJob Description "All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment". Job Title: Sr. Technical Project/Program Manager Duration: 5+ Months Location: Austin, TX Type: Remote Pay range: $70.00 to $76.08 Hourly Position Summary: The Senior Technical Project/Program Manager leads large-scale strategic initiatives that drive organizational transformation, operational excellence, and business outcomes across multiple portfolios and delivery teams. This role serves as a key connector between executives, business leaders, engineering organizations, and cross-functional stakeholders, ensuring alignment, accountability, and successful execution of complex programs. The position is responsible for developing program strategies, establishing governance frameworks, managing risks and dependencies, driving adoption of organizational change initiatives, and delivering executive-level insights that inform decision-making. The role requires strong leadership, communication, analytical, and organizational skills to successfully coordinate work across diverse stakeholder groups and evolving business priorities. Key Responsibilities: Program Leadership & Execution Lead strategic, cross-functional programs from initiation through implementation and operationalization. Develop program roadmaps, timelines, milestones, and success metrics. Manage program scope, risks, dependencies, and issue resolution. Coordinate activities across multiple teams to ensure alignment with organizational goals. Drive continuous improvement and operational efficiency initiatives. Stakeholder & Executive Management Partner with senior leadership to translate strategic objectives into actionable execution plans. Facilitate governance forums, steering committees, and leadership reviews. Prepare executive communications, status reports, dashboards, and presentations. Build strong relationships across business, technology, HR, communications, and operations teams. Act as a trusted advisor and point of coordination for complex initiatives. Organizational Change & Transformation Support enterprise transformation initiatives through planning, communication, and adoption management. Coordinate training, readiness, and change enablement activities. Monitor adoption metrics and stakeholder feedback to identify risks and improvement opportunities. Partner with change management and communications teams to ensure consistent messaging and engagement. Facilitate cross-functional collaboration to accelerate organizational maturity and business value realization. Governance, Reporting & Analytics Establish and maintain program governance processes and reporting structures. Develop and manage executive dashboards, scorecards, trackers, and progress reporting mechanisms. Analyze program performance, risks, and trends to provide actionable recommendations. Ensure data accuracy and consistency across reporting artifacts. Drive transparency and accountability through regular program reviews. Team Enablement & Cross-Functional Coordination Facilitate collaboration among Portfolio Engineers, Delivery Stream Engineers, business leaders, and technical teams. Coordinate planning cycles, readiness activities, and resource alignment. Support teams with process improvements, documentation standards, and operational best practices. Foster a culture of continuous learning, innovation, and accountability. Ensure stakeholders have clear ownership, expectations, and action plans. Job Requirements: Target Years of Exp: 3-5 Top 5 Must Haves: Executive presence, stakeholder management, tactical project management (tracking, follow-ups, etc.), familiarity with Excel and MS suite, technical writing Qualifications: Extensive experience leading large-scale technical programs and strategic initiatives. Strong knowledge of project and program management methodologies, governance, and risk management. Experience supporting organizational transformation, change management, and adoption initiatives. Proven ability to influence senior leaders and stakeholders without direct authority. Exceptional written and verbal communication skills, including executive-level presentations. Advanced proficiency with MS 365 tools, reporting solutions, collaboration platforms, and program management systems. Strong analytical, organizational, and problem-solving capabilities. Success Measures: Programs delivered on schedule and aligned with strategic objectives. Strong executive visibility and stakeholder satisfaction. Effective governance, risk mitigation, and decision-making processes. Successful adoption of transformational initiatives and new ways of working. High-quality reporting and actionable leadership insights. Improved operational efficiency and measurable business impact. About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.

Job DescriptionJob Description "All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment". Job Title: Sr. Technical Project/Program Manager Duration: 5+ Months Location: Austin, TX Type: Remote Pay range: $70.00 to $76.08 Hourly Position Summary: The Senior Technical Project/Program Manager leads large-scale strategic initiatives that drive organizational transformation, operational excellence, and business outcomes across multiple portfolios and delivery teams. This role serves as a key connector between executives, business leaders, engineering organizations, and cross-functional stakeholders, ensuring alignment, accountability, and successful execution of complex programs. The position is responsible for developing program strategies, establishing governance frameworks, managing risks and dependencies, driving adoption of organizational change initiatives, and delivering executive-level insights that inform decision-making. The role requires strong leadership, communication, analytical, and organizational skills to successfully coordinate work across diverse stakeholder groups and evolving business priorities. Key Responsibilities: Program Leadership & Execution Lead strategic, cross-functional programs from initiation through implementation and operationalization. Develop program roadmaps, timelines, milestones, and success metrics. Manage program scope, risks, dependencies, and issue resolution. Coordinate activities across multiple teams to ensure alignment with organizational goals. Drive continuous improvement and operational efficiency initiatives. Stakeholder & Executive Management Partner with senior leadership to translate strategic objectives into actionable execution plans. Facilitate governance forums, steering committees, and leadership reviews. Prepare executive communications, status reports, dashboards, and presentations. Build strong relationships across business, technology, HR, communications, and operations teams. Act as a trusted advisor and point of coordination for complex initiatives. Organizational Change & Transformation Support enterprise transformation initiatives through planning, communication, and adoption management. Coordinate training, readiness, and change enablement activities. Monitor adoption metrics and stakeholder feedback to identify risks and improvement opportunities. Partner with change management and communications teams to ensure consistent messaging and engagement. Facilitate cross-functional collaboration to accelerate organizational maturity and business value realization. Governance, Reporting & Analytics Establish and maintain program governance processes and reporting structures. Develop and manage executive dashboards, scorecards, trackers, and progress reporting mechanisms. Analyze program performance, risks, and trends to provide actionable recommendations. Ensure data accuracy and consistency across reporting artifacts. Drive transparency and accountability through regular program reviews. Team Enablement & Cross-Functional Coordination Facilitate collaboration among Portfolio Engineers, Delivery Stream Engineers, business leaders, and technical teams. Coordinate planning cycles, readiness activities, and resource alignment. Support teams with process improvements, documentation standards, and operational best practices. Foster a culture of continuous learning, innovation, and accountability. Ensure stakeholders have clear ownership, expectations, and action plans. Job Requirements: Target Years of Exp: 3-5 Top 5 Must Haves: Executive presence, stakeholder management, tactical project management (tracking, follow-ups, etc.), familiarity with Excel and MS suite, technical writing Qualifications: Extensive experience leading large-scale technical programs and strategic initiatives. Strong knowledge of project and program management methodologies, governance, and risk management. Experience supporting organizational transformation, change management, and adoption initiatives. Proven ability to influence senior leaders and stakeholders without direct authority. Exceptional written and verbal communication skills, including executive-level presentations. Advanced proficiency with MS 365 tools, reporting solutions, collaboration platforms, and program management systems. Strong analytical, organizational, and problem-solving capabilities. Success Measures: Programs delivered on schedule and aligned with strategic objectives. Strong executive visibility and stakeholder satisfaction. Effective governance, risk mitigation, and decision-making processes. Successful adoption of transformational initiatives and new ways of working. High-quality reporting and actionable leadership insights. Improved operational efficiency and measurable business impact. About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.

Job DescriptionJob Description "All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment". Job Title: Sr. Technical Project/Program Manager Duration: 5+ Months Location: Austin, TX Type: Remote Pay range: $70.00 to $76.08 Hourly Position Summary: The Senior Technical Project/Program Manager leads large-scale strategic initiatives that drive organizational transformation, operational excellence, and business outcomes across multiple portfolios and delivery teams. This role serves as a key connector between executives, business leaders, engineering organizations, and cross-functional stakeholders, ensuring alignment, accountability, and successful execution of complex programs. The position is responsible for developing program strategies, establishing governance frameworks, managing risks and dependencies, driving adoption of organizational change initiatives, and delivering executive-level insights that inform decision-making. The role requires strong leadership, communication, analytical, and organizational skills to successfully coordinate work across diverse stakeholder groups and evolving business priorities. Key Responsibilities: Program Leadership & Execution Lead strategic, cross-functional programs from initiation through implementation and operationalization. Develop program roadmaps, timelines, milestones, and success metrics. Manage program scope, risks, dependencies, and issue resolution. Coordinate activities across multiple teams to ensure alignment with organizational goals. Drive continuous improvement and operational efficiency initiatives. Stakeholder & Executive Management Partner with senior leadership to translate strategic objectives into actionable execution plans. Facilitate governance forums, steering committees, and leadership reviews. Prepare executive communications, status reports, dashboards, and presentations. Build strong relationships across business, technology, HR, communications, and operations teams. Act as a trusted advisor and point of coordination for complex initiatives. Organizational Change & Transformation Support enterprise transformation initiatives through planning, communication, and adoption management. Coordinate training, readiness, and change enablement activities. Monitor adoption metrics and stakeholder feedback to identify risks and improvement opportunities. Partner with change management and communications teams to ensure consistent messaging and engagement. Facilitate cross-functional collaboration to accelerate organizational maturity and business value realization. Governance, Reporting & Analytics Establish and maintain program governance processes and reporting structures. Develop and manage executive dashboards, scorecards, trackers, and progress reporting mechanisms. Analyze program performance, risks, and trends to provide actionable recommendations. Ensure data accuracy and consistency across reporting artifacts. Drive transparency and accountability through regular program reviews. Team Enablement & Cross-Functional Coordination Facilitate collaboration among Portfolio Engineers, Delivery Stream Engineers, business leaders, and technical teams. Coordinate planning cycles, readiness activities, and resource alignment. Support teams with process improvements, documentation standards, and operational best practices. Foster a culture of continuous learning, innovation, and accountability. Ensure stakeholders have clear ownership, expectations, and action plans. Job Requirements: Target Years of Exp: 3-5 Top 5 Must Haves: Executive presence, stakeholder management, tactical project management (tracking, follow-ups, etc.), familiarity with Excel and MS suite, technical writing Qualifications: Extensive experience leading large-scale technical programs and strategic initiatives. Strong knowledge of project and program management methodologies, governance, and risk management. Experience supporting organizational transformation, change management, and adoption initiatives. Proven ability to influence senior leaders and stakeholders without direct authority. Exceptional written and verbal communication skills, including executive-level presentations. Advanced proficiency with MS 365 tools, reporting solutions, collaboration platforms, and program management systems. Strong analytical, organizational, and problem-solving capabilities. Success Measures: Programs delivered on schedule and aligned with strategic objectives. Strong executive visibility and stakeholder satisfaction. Effective governance, risk mitigation, and decision-making processes. Successful adoption of transformational initiatives and new ways of working. High-quality reporting and actionable leadership insights. Improved operational efficiency and measurable business impact. About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.