323 jobs found

BUILD A BETTER CAREER WITH MSC Serving customers and our community starts with the best people doing their best work. That is precisely what we have created at MSC Industrial Supply Co. We are a leading North American distributor of metalworking and maintenance, repair, and operations (MRO), products and services. We offer more than 2 million products and have over 80 years of experience across dozens of industries. We aim to execute our Built to Make You Better brand promise for all our stakeholders, including our associates. Requisition ID :20296 Employment Type :Full Time Job Category :Sales Work Location :Davidson, NC (CSC) BRIEF POSITION SUMMARY: The Ecommerce Channel Manager is integral to helping our wholesale division fulfill our goals of growing our e-commerce sales while maintaining and improving the consumer perception of the brands we carry online. This role encompasses functions related to online strategy, governance, and brand management for our wholesale business with e-retailers, offline (bricks) & online (clicks) and omnichannel accounts. This position is responsible for the delivery and implementation of e-Commerce projects and programs for all channels, including e-Commerce, resellers and Key Accounts. This position includes regular interaction with various stakeholders, the field sales organization, category teams, and the marketing communications team. The role will be directly responsible for go-to-market support, digital merchandising, distribution, and brand/category related projects in online marketplace. The Ecommerce Channel Manager drives distributor and end user sales by communicating these programs via the field sales organization. The Manager is also responsible for using sales, profit, customer, consumer, and competitor data to make informed decisions regarding tactical execution of channel marketing strategies that align with business objectives. DUTIES AND RESPONSIBILITIES GO-TO-MARKET SUPPORT Develop strategies to maximize channel opportunities with GTM (go-to-market) strategies, assortment optimization, and ongoing analysis of performance. Coordinates the development and distribution of digital merchandising content (product data, copy, images) Interacts with our customers (online retailers/wholesalers/digital marketplaces) and account managers across channels to provide feedback on how to improve business performance Develops a thorough competitive and situational assessment of the channel to support strategic planning and annual marketing planning Creates and drives marketing programs to meet strategic growth objectives and to grow sales among customers (via push programs) and end-users (via pull programs) Collaborates with sales team and category team to position products commercially that align with strategic goals Works alongside sales, category managers, and marketing communications teams to engineer brand strategies and tactics at the customer level Actively seek out and understand distributor and end user VOC through regular contact to successfully establish new promotions and programs to meet end-user needs Works closely with product teams to effectively launch new product promotions Monitors/tracks and analyzes the effectiveness of programs to support reporting, course corrections, and decision-making PROJECT & CHANGE MANAGEMENT Forms relationships with Sales leaders across the organization to understand how our team can better support the development of healthy online marketplace sales, while growing sales overall for the company Acts as a thought leader to support accounts in developing an omni-channel relationship with resellers/consumers Develops and delivers training to stakeholders within sales organization on distribution management, go-to-market strategy, digital merchandising support, etc. related to wholesale. Assists in preparing material to educate the organization on e-commerce projects and content best Fosters the MSC Culture in the department and throughout the company to ensure fulfillment of MSC's vision and unity of purpose. Participation in special projects and performs additional duties as required QUALIFICATIONS What You Need: Bachelor's degree in business, Communications, Merchandising, Marketing, or relevant experience required. Five years of experience working in project management required. Ability to build strong relationships, highly customer service oriented, organized, a strong communicator and resourcefulness required. Excellent organizational, written and verbal communication, and interpersonal skills required. Strong presentation skills required. Excellent computer skills (Excel, PowerPoint, Word) required; SAP skills is a plus. Strong knowledge of principles and methods for pricing, promoting, and placing products required. Data analytic skills (ability to gather, analyze, and interpret data) required. Experience conducting and analyzing market research, then turning findings into actionable projects required. Experience measuring and tracking success required. Knowledge of marketplace management (Amazon, Walmart, eBay etc.) required. Bonus Points If You Have: Experience working industrial distribution market preferred. Experience working with sales teams preferred. Other Requirements: A valid driver's license may be required. Position requires up to 15% travel This position may require access to International Traffic in Arms Regulations Information ("ITAR") and/or Controlled Unclassified Information ("CUI") INDICATES ESSENTIAL DUTIES To perform this job successfully an associate must be able to perform each essential duty satisfactorily. The requirements listed are representative of knowledge, experience level and abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. Compensation starting at $72100 - $113300 depending on candidate location and experience. The salary range represented is based on similar roles in comparable industries, and the cost of labor in respective cities. Actual compensation is based on the candidate's relevant experience, education requirements and peer pay equity. The Company reserves the right to modify the range as market conditions change. Applicants must be currently authorized to work in the United States. We are unable to sponsor or take over sponsorship of an employment Visa for this position at this time. This job posting will remain open for a minimum of 3 business days from the original posting date or longer as needed to fill the position. WHY MSC? People. Collaboration. Insight. That's how you build something that works. Built on a foundation of trust, MSC works side by side with our customers to help them drive business results. With more than one million product offerings and 80+ years of experience across industries, MSC strives to help our customers achieve greater productivity, profitability, and growth through inventory management and other innovative supply chain solutions. We care about our associates and have programs in place to help our 6,500+ team members achieve their potential. OUR COMMITMENT TO YOU Our associates are our top priority and investing in their well-being is one way we execute our Built to Make You Better brand promise. Alongside competitive pay, we have a comprehensive benefits program to support you and your family's health, well-being and financial future. We offer dynamic healthcare plans, generous 401K and stock purchasing programs, tuition reimbursement opportunities, and paid time away for holidays, vacations, and illness. Visit our page for a better look at our extensive benefits: Your Future Benefits. You will also have the opportunity to join our Associate Inclusion Circles: Women, Pride, Black, Generational, Veterans, HOLA, and Able. These circles are open to all associates and are designed to promote awareness, collaboration, and respect. EQUAL EMPLOYMENT OPPORTUNITY STATEMENT At MSC, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all qualified applicants and our associates without regard to race, color, religion, age, sex, national origin, disability, protected veteran status, sexual orientation or any category protected by applicable law. Accommodation requests can be made at any stage of the recruitment process; applicants are asked to make their needs/requirements known. PandoLogic. Category:Sales,

Exciting opportunity to lead cloud solutions and microservices of hyper growth Irving, TX-based company! Great bonus potential! This Jobot Job is hosted by: John Armel Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $120,000 - $160,000 per year A bit about us: We are seeking a dynamic and experienced Cloud Solutions Architect to join our hyper-growth financial services client. This role is crucial to our business as you will be responsible for designing and implementing cloud-based solutions to meet the needs of our clients. The successful candidate will have a deep understanding of cloud computing technologies, business drivers, and emerging computing trends. You will work closely with our clients to ensure the architecture is aligned with the client's business requirements. This role requires a high level of technical expertise and the ability to work collaboratively with various teams. Why join us? Exciting opportunity to lead cloud solutions and microservices of hyper growth Irving, TX-based company! Great bonus potential! Job Details Responsibilities: 1. Design and implement complex cloud-based solutions for our clients. 2. Provide expertise and leadership in Solutions Architecture in the infrastructure and applications space. 3. Develop cloud architecture and solutions optimized for cloud platforms to meet business needs and requirements. 4. Manage and facilitate multi-cloud deployments, ensuring efficient and effective use of resources. 5. Develop and coordinate cloud architecture, and oversee the work of other architects. 6. Develop and implement cloud governance policies and procedures to ensure the security and integrity of cloud services. 7. Automate processes to improve efficiency and reduce manual intervention. 8. Utilize SDLC methodologies to deliver robust, quality solutions to clients. 9. Work closely with clients to understand their business requirements and translate them into technical solutions. 10. Stay up-to-date with the latest industry trends and advancements in cloud computing to inform architectural decisions. Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, or a related field. 2. Minimum of 5 years of experience in cloud architecture and solution design. 3. Proven experience with cloud governance, multi-cloud deployments, automation, scalable cloud solutions, and SDLC. 4. Strong knowledge of Azure and other cloud service providers. 5. Proven ability to design and implement complex cloud solutions. 6. Strong understanding of cloud computing technology and infrastructure as well as experience designing and migrating applications to the cloud. 7. Strong knowledge in software development languages and tools to drive automation and reliability into the infrastructure. 8. Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders. 9. Strong problem-solving skills, with the ability to think strategically and act tactically. 10. Certifications in Azure, AWS, Google Cloud, or other cloud technologies are highly desirable. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Senior Manager, Product Management, Enterprise AI/ML Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team Enterprise AI/ML is powering real-time, intelligent banking by introducing new AI/ML capabilities and safely scaling business-led innovations. This horizontal platform team builds intelligence capabilities, spanning distributed compute technologies, control plane operations, and cost management, directly engaging with users of Capital One's largest AI & ML platforms to understand and solve complex technical and operational challenges. We drive transformative solutions in partnership with engineering, risk, security, and business teams to ensure that rigorous governance, security, resiliency, and availability requirements are met. We are seeking a Technical Product Leader with a proven history of building exceptional products and experiences for technical users like data scientists, ML engineers, and software developers, who is capable of bringing a fresh, innovative perspective to influence and shape the platforms and tools that thousands of engineers use every day to deliver intelligent, personalized customer experiences. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 5 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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. Cambridge, MA: $200,700 - $229,100 for Sr. Mgr, Product Management Chicago, IL: $182,500 - $208,300 for Sr. Mgr, Product Management McLean, VA: $200,700 - $229,100 for Sr. Mgr, Product Management New York, NY: $219,000 - $249,900 for Sr. Mgr, Product Management Richmond, VA: $182,500 - $208,300 for Sr. Mgr, Product Management San Francisco, CA: $219,000 - $249,900 for Sr. Mgr, Product Management 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).

Senior Manager, Product Management, Enterprise AI/ML Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team Enterprise AI/ML is powering real-time, intelligent banking by introducing new AI/ML capabilities and safely scaling business-led innovations. This horizontal platform team builds intelligence capabilities, spanning distributed compute technologies, control plane operations, and cost management, directly engaging with users of Capital One's largest AI & ML platforms to understand and solve complex technical and operational challenges. We drive transformative solutions in partnership with engineering, risk, security, and business teams to ensure that rigorous governance, security, resiliency, and availability requirements are met. We are seeking a Technical Product Leader with a proven history of building exceptional products and experiences for technical users like data scientists, ML engineers, and software developers, who is capable of bringing a fresh, innovative perspective to influence and shape the platforms and tools that thousands of engineers use every day to deliver intelligent, personalized customer experiences. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 5 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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. Cambridge, MA: $200,700 - $229,100 for Sr. Mgr, Product Management Chicago, IL: $182,500 - $208,300 for Sr. Mgr, Product Management McLean, VA: $200,700 - $229,100 for Sr. Mgr, Product Management New York, NY: $219,000 - $249,900 for Sr. Mgr, Product Management Richmond, VA: $182,500 - $208,300 for Sr. Mgr, Product Management San Francisco, CA: $219,000 - $249,900 for Sr. Mgr, Product Management 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).

Senior Associate, Data Scientist - Model Risk Office Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models Leverage a broad stack of technologies - from foundational frameworks (PyTorch, Hugging Face), to orchestration tools (LangChain, Vector Databases) to LLMOps, observability platforms, and more - to reveal the insights hidden within huge volumes of multi-modal data Build machine learning models to challenge "champion models" that are deployed in production today and contribute to the model governance framework for the next generation of models Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives. The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Master's Degree or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 2 years' experience in Python, Scala, or R for large scale data analysis At least 2 years' experience with machine learning 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. Chicago, IL: $123,300 - $140,700 for Sr Assoc, Data Science McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science Richmond, VA: $123,300 - $140,700 for Sr Assoc, Data Science 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).

Manager, Data Scientist - Model Risk Office Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models Leverage a broad stack of technologies - from foundational frameworks (PyTorch, Hugging Face), to orchestration tools (LangChain, Vector Databases) to LLMOps, observability platforms, and more - to reveal the insights hidden within huge volumes of multi-modal data Build machine learning models to challenge "champion models" that are deployed in production today and contribute to the model governance framework for the next generation of models Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives. The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics At least 1 year of experience leveraging open source programming languages for large scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational or vector databases Preferred Qualifications: PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics At least 1 year of experience working with AWS At least 4 years' experience in Python, Scala, or R for large scale data analysis At least 4 years' experience with machine learning, including GenAI At least 4 years' experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection. 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. Chicago, IL: $179,400 - $204,700 for Mgr, Data Science McLean, VA: $197,300 - $225,100 for Mgr, Data Science Richmond, VA: $179,400 - $204,700 for Mgr, Data Science 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).

Senior Manager, Product Management, Enterprise AI/ML Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team Enterprise AI/ML is powering real-time, intelligent banking by introducing new AI/ML capabilities and safely scaling business-led innovations. This horizontal platform team builds intelligence capabilities, spanning distributed compute technologies, control plane operations, and cost management, directly engaging with users of Capital One's largest AI & ML platforms to understand and solve complex technical and operational challenges. We drive transformative solutions in partnership with engineering, risk, security, and business teams to ensure that rigorous governance, security, resiliency, and availability requirements are met. We are seeking a Technical Product Leader with a proven history of building exceptional products and experiences for technical users like data scientists, ML engineers, and software developers, who is capable of bringing a fresh, innovative perspective to influence and shape the platforms and tools that thousands of engineers use every day to deliver intelligent, personalized customer experiences. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 5 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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. Cambridge, MA: $200,700 - $229,100 for Sr. Mgr, Product Management Chicago, IL: $182,500 - $208,300 for Sr. Mgr, Product Management McLean, VA: $200,700 - $229,100 for Sr. Mgr, Product Management New York, NY: $219,000 - $249,900 for Sr. Mgr, Product Management Richmond, VA: $182,500 - $208,300 for Sr. Mgr, Product Management San Francisco, CA: $219,000 - $249,900 for Sr. Mgr, Product Management 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).

Manager, Data Scientist - Model Risk Office Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models Leverage a broad stack of technologies - from foundational frameworks (PyTorch, Hugging Face), to orchestration tools (LangChain, Vector Databases) to LLMOps, observability platforms, and more - to reveal the insights hidden within huge volumes of multi-modal data Build machine learning models to challenge "champion models" that are deployed in production today and contribute to the model governance framework for the next generation of models Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives. The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics At least 1 year of experience leveraging open source programming languages for large scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational or vector databases Preferred Qualifications: PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics At least 1 year of experience working with AWS At least 4 years' experience in Python, Scala, or R for large scale data analysis At least 4 years' experience with machine learning, including GenAI At least 4 years' experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection. 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. Chicago, IL: $179,400 - $204,700 for Mgr, Data Science McLean, VA: $197,300 - $225,100 for Mgr, Data Science Richmond, VA: $179,400 - $204,700 for Mgr, Data Science 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).

Senior Associate, Data Scientist - Model Risk Office Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models Leverage a broad stack of technologies - from foundational frameworks (PyTorch, Hugging Face), to orchestration tools (LangChain, Vector Databases) to LLMOps, observability platforms, and more - to reveal the insights hidden within huge volumes of multi-modal data Build machine learning models to challenge "champion models" that are deployed in production today and contribute to the model governance framework for the next generation of models Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives. The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Master's Degree or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 2 years' experience in Python, Scala, or R for large scale data analysis At least 2 years' experience with machine learning 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. Chicago, IL: $123,300 - $140,700 for Sr Assoc, Data Science McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science Richmond, VA: $123,300 - $140,700 for Sr Assoc, Data Science 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).

Onsite in Milpitas, CA Profitable, Series C FinTech Startup - AWS, Terraform, Docker, Kubernetes, Active Directory This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $165,000 - $200,000 per year A bit about us: We're a mission-driven fintech company building technology that helps millions of workers access the money they've already earned - when they need it most. Our platform integrates with employers and payroll systems to provide real-time wage access and financial wellness tools that reduce reliance on payday loans, overdraft fees, and other costly alternatives. Founded in Silicon Valley, our team is focused on using modern payment infrastructure and scalable cloud platforms to solve real financial challenges for everyday workers. We are seeking a Senior AWS DevOps & Cloud Security Engineer to own and drive the security, production infrastructure, and DevOps automation across our AWS environment. This is a critical role where you will be directly responsible for: Designing and securing cloud infrastructure. Managing production-grade systems at scale. Leading DevOps practices across CI/CD, monitoring, and infrastructure automation. This position is onsite in Milpitas, CA. Why join us? Company sponsored Health, Dental, and Vision insurance Health, Dental and Vision Reimbursement account 401K, traditional, and Roth with a company match Tuition Assistance or Tuition Reimbursement Unlimited Paid Time off Monthly Gym Reimbursement Paid time off to volunteer Paid Family Leave Complimentary office lunches Opportunity to work with a great team committed to making a difference. + More! Job Details Responsibilities: Own and maintain the security posture across AWS accounts, environments, and production workloads. Design and operate scalable, highly available, and secure AWS infrastructure. Manage Active Directory integration with AWS IAM, supporting access for EC2, EKS, and applications. Lead DevOps initiatives including CI/CD pipelines, Infrastructure as Code (IaC), version control, and automated deployments. Administer and secure Windows Server and IIS workloads hosted in AWS. Deploy and manage containerized applications using Docker and EKS. Establish and enforce cloud governance and compliance standards (CIS, NIST, HIPAA). Implement monitoring and observability solutions including logging, metrics, alerting, and dashboards. Build automation tools and scripts to streamline operations and improve reliability. Participate in on-call rotations, incident response, and root cause analysis. Optimize cloud environments for performance, availability, and cost efficiency. Required Skills & Qualifications 7+ years of experience in DevOps, Infrastructure, or Cloud Engineering roles. Strong AWS expertise across EC2, VPC, IAM, RDS, S3, Systems Manager, KMS, GuardDuty, CloudWatch, Config, CloudTrail, etc. Proven experience in cloud security, including IAM governance, least privilege policies, and secrets management. In-depth experience with Active Directory, including IAM-AD integration and federated authentication. Production experience with Docker (4+ years) and Amazon EKS/Kubernetes. Strong scripting skills: PowerShell (primary), Bash, or Python. CI/CD pipeline experience using Azure DevOps (VSTS/TFS), GitHub Actions, or Jenkins. Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Hands-on experience with Windows Server IIS, .NET/C# applications, and SQL Server. Proficiency in monitoring and APM tools such as Datadog, Dynatrace, AppDynamics, Site24x7. Solid understanding of networking: DNS, Load Balancing, SSL/TLS, VPC, routing, firewalls. Preferred Qualifications AWS Certifications: DevOps Engineer - Professional, Security - Specialty, or Solutions Architect - Professional. Experience with secrets management tools: AWS Secrets Manager, SSM Parameter Store, or HashiCorp Vault. Familiarity with Zero Trust, SSO, SAML, and OIDC-based authentication models. Knowledge of cost optimization strategies using AWS Cost Explorer, Trusted Advisor, and Savings Plans. Experience working in regulated industries (e.g., healthcare, finance, or government). Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Fully On-site in Boyers, PA TS-SCI w/ CI poly REQUIRED (DO NOT APPLY UNLESS YOU HAVE THIS) Relocation Assistance offered! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $190,000 - $235,000 per year A bit about us: A mission-focused engineering organization supporting classified U.S. Government programs is seeking an experienced Data Center Operations & Security Lead to oversee secure infrastructure environments within a high-availability facility. This role is responsible for maintaining operational continuity across compute, storage, networking, and physical infrastructure while ensuring compliance with federal security and communications protection requirements. The selected individual will serve as the on-site technical leader responsible for coordinating operations, managing incidents, supervising technicians, and maintaining audit-ready environments aligned with DoD and national security standards. Why join us? Competitive Base Salary Company paid health plan for employees PTO Dental and Vision, FSA, HSA Relocation bonus if needed! Many more great perks! Job Details Key Responsibilities Lead daily operations of a secure data center supporting classified workloads, ensuring continuous system availability and compliance with security policies. Perform Tier 2-3 troubleshooting and oversee preventive maintenance across servers, storage platforms, and networking infrastructure. Manage physical infrastructure activities including rack-and-stack deployments, structured cabling, environmental monitoring, and power distribution coordination. Supervise on-site technical personnel and coordinate with systems, network, cybersecurity, and facilities teams to resolve operational issues. Serve as COMSEC Custodian, maintaining accountability and compliance for government-issued cryptographic materials. Act as Major Incident Manager during outages or high-severity events, leading response coordination and root-cause investigations. Maintain asset inventories, lifecycle documentation, and configuration records using enterprise service management platforms. Support compliance initiatives aligned with frameworks such as DISA STIG, FedRAMP, ISO 27001, and SOC 2. Prepare for and support inspections, audits, and customer site visits. Coordinate with vendors and stakeholders to ensure infrastructure reliability and performance optimization. Required Qualifications Active TS/SCI clearance with CI Polygraph Bachelor's degree in Information Technology, Engineering, Facilities Engineering, or related discipline (or equivalent experience) 15+ years supporting enterprise or classified data center operations Hands-on experience with: VMware vSphere / ESXi environments Windows and Linux server administration Enterprise storage platforms (e.g., Dell EMC or similar) Cisco and/or Palo Alto networking technologies Monitoring platforms such as SolarWinds, Splunk, or comparable tools Strong experience with incident, change, and configuration management processes Prior support of classified government environments or cleared infrastructure facilities Ability to complete required COMSEC training within six months of hire Preferred Qualifications Data center certifications (CDCP, CDCS, CDCFM, or equivalent) IT service governance certifications (ITIL v4, COBIT) Security or networking certifications (Security+, Network+, or similar) Familiarity with power and cooling infrastructure (UPS, CRAC units, PDUs, BMS systems) Experience leading major incident response efforts Demonstrated leadership within 24x7 operations environments Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

80% Remote, 20% Travel Free M/D/V 401k PTO Join a Purpose-Driven Biotech Team Advancing Cancer Car This Jobot Consulting Job is hosted by: Tim Lynott Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $98 - $102 per hour A bit about us: We see a world where urologic cancer patients can benefit from our innovative immunotherapies to live with dignity and have an enhanced quality of life. Our product candidate, cretostimogene grenadenorepvec, is an investigational engineered oncolytic immunotherapy. In BCG-unresponsive Non-Muscle Invasive Bladder Cancer (NMIBC), cretostimogene has shown clinical benefit and has been generally well-tolerated as both a monotherapy and in combination with other therapies in clinical trials. Why join us? 80% Remote, 20% Travel Free M/D/V 401k PTO Join a Purpose-Driven Biotech Team Advancing Cancer Car Job Details About the Company Our client is a specialized Contract Manufacturing Organization (CMO) that is undergoing a critical NetSuite ERP implementation. One that requires both technical depth and governance rigor to execute correctly. As the organization continues to scale its operational infrastructure, every system and process is being built with intention and precision. This role sits at the center of that effort. The Opportunity This is not a standard IT project role. This is a seat at the table during one of the most consequential operational moments in this organization's history. As the IT Business Relationship Manager supporting the NetSuite implementation, you will serve as the connective tissue between the Finance leadership team and the external professional services team executing the deployment. You will be equal parts strategic partner, governance enforcer, and implementation driver - ensuring that the system is built right, the controls are documented properly, and the business is protected every step of the way. For the right candidate, this engagement has a multiyear roadmap. This is a long runway, not a short sprint. What You'll Own Implementation Partnership & Business Alignment Serve as the primary IT liaison between the Finance team and the professional services implementation partner deploying NetSuite Translate business requirements from Finance and Operations stakeholders into documented functional and technical specifications Facilitate working sessions, decision logs, and cross-functional alignment to keep the implementation on track and on scope Ensure the Finance team's voice is embedded in every phase of the deployment - from requirements through go-live Governance, Compliance & Controls Own IT General Controls (ITGC) documentation, testing, and sign-off throughout the implementation lifecycle Ensure change control processes are established, enforced, and audit-ready from day one Support SOX 404(b) compliance requirements, including control design, walkthroughs, and evidence management Partner with Finance and Compliance stakeholders to ensure the NetSuite environment meets all regulatory and internal audit standards Project Management & Execution Manage project timelines, milestone tracking, risk identification, and stakeholder communications Coordinate between internal teams and the external implementation partner to resolve blockers and dependencies Maintain a clear and current view of open items, decisions required, and upcoming deliverables Bring structure to a complex, multi-stakeholder environment without losing speed Testing & Validation Lead and coordinate User Acceptance Testing (UAT), including test script development, execution oversight, and defect tracking Ensure testing documentation meets the governance and audit standards required for a SOX-compliant ERP environment Support data migration validation, integration testing, and cutover planning as the go-live date approaches What We're Looking For Experience Profile Demonstrated experience supporting or leading NetSuite ERP implementations in a complex, multi-stakeholder environment - CMO, contract services, or manufacturing experience strongly preferred Hands-on familiarity with ITGC frameworks, SOX 404(b) requirements, and change control processes in the context of ERP deployments Proven ability to build and document business requirements, functional specifications, and testing protocols Strong project management instincts - you don't need someone to build your workplan for you Experience partnering with Finance teams as a business-facing IT professional, not just a technical implementer The Right Fit A natural translator - equally comfortable in a governance conversation with an auditor and a working session with a Finance VP Detail-oriented without losing sight of the big picture; you track the milestones and the meaning behind them Comfortable operating in a fast-moving, high-accountability environment where the org chart is still being built Collaborative by default, decisive when it counts CMO or contract manufacturing industry exposure is a meaningful differentiator here - understanding how a CMO operates financially and operationally will accelerate your impact from day one Logistics & Structure Engagement Type: Contract to Hire (6 months consulting then offer for FTE) Location: Remote with monthly travel to Brighton, MI (expenses covered) Hours: Must be available and working Eastern Standard Time hours Duration: Initial contract scope with strong potential for a multiyear engagement based on performance and organizational roadmap Rate: Competitive; commensurate with experience Why This One Is Worth Your Attention Most ERP implementation roles ask you to execute someone else's plan. This one asks you to help build it with a seat at the table, a motivated Finance team that wants a real partner, and an organization that is growing in a direction that makes the work matter. If you've done this before, you know how rare it is to walk into a NetSuite implementation with clear executive support, a defined governance mandate, and real potential for longevity. This is that engagement. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Fully On-site in Boyers, PA TS-SCI w/ CI poly REQUIRED (DO NOT APPLY UNLESS YOU HAVE THIS) Relocation Assistance offered! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $190,000 - $235,000 per year A bit about us: A mission-focused engineering organization supporting classified U.S. Government programs is seeking an experienced Data Center Operations & Security Lead to oversee secure infrastructure environments within a high-availability facility. This role is responsible for maintaining operational continuity across compute, storage, networking, and physical infrastructure while ensuring compliance with federal security and communications protection requirements. The selected individual will serve as the on-site technical leader responsible for coordinating operations, managing incidents, supervising technicians, and maintaining audit-ready environments aligned with DoD and national security standards. Why join us? Competitive Base Salary Company paid health plan for employees PTO Dental and Vision, FSA, HSA Relocation bonus if needed! Many more great perks! Job Details Key Responsibilities Lead daily operations of a secure data center supporting classified workloads, ensuring continuous system availability and compliance with security policies. Perform Tier 2-3 troubleshooting and oversee preventive maintenance across servers, storage platforms, and networking infrastructure. Manage physical infrastructure activities including rack-and-stack deployments, structured cabling, environmental monitoring, and power distribution coordination. Supervise on-site technical personnel and coordinate with systems, network, cybersecurity, and facilities teams to resolve operational issues. Serve as COMSEC Custodian, maintaining accountability and compliance for government-issued cryptographic materials. Act as Major Incident Manager during outages or high-severity events, leading response coordination and root-cause investigations. Maintain asset inventories, lifecycle documentation, and configuration records using enterprise service management platforms. Support compliance initiatives aligned with frameworks such as DISA STIG, FedRAMP, ISO 27001, and SOC 2. Prepare for and support inspections, audits, and customer site visits. Coordinate with vendors and stakeholders to ensure infrastructure reliability and performance optimization. Required Qualifications Active TS/SCI clearance with CI Polygraph Bachelor's degree in Information Technology, Engineering, Facilities Engineering, or related discipline (or equivalent experience) 15+ years supporting enterprise or classified data center operations Hands-on experience with: VMware vSphere / ESXi environments Windows and Linux server administration Enterprise storage platforms (e.g., Dell EMC or similar) Cisco and/or Palo Alto networking technologies Monitoring platforms such as SolarWinds, Splunk, or comparable tools Strong experience with incident, change, and configuration management processes Prior support of classified government environments or cleared infrastructure facilities Ability to complete required COMSEC training within six months of hire Preferred Qualifications Data center certifications (CDCP, CDCS, CDCFM, or equivalent) IT service governance certifications (ITIL v4, COBIT) Security or networking certifications (Security+, Network+, or similar) Familiarity with power and cooling infrastructure (UPS, CRAC units, PDUs, BMS systems) Experience leading major incident response efforts Demonstrated leadership within 24x7 operations environments Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Fully On-site in Boyers, PA TS-SCI w/ CI poly REQUIRED (DO NOT APPLY UNLESS YOU HAVE THIS) Relocation Assistance offered! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $190,000 - $235,000 per year A bit about us: A mission-focused engineering organization supporting classified U.S. Government programs is seeking an experienced Data Center Operations & Security Lead to oversee secure infrastructure environments within a high-availability facility. This role is responsible for maintaining operational continuity across compute, storage, networking, and physical infrastructure while ensuring compliance with federal security and communications protection requirements. The selected individual will serve as the on-site technical leader responsible for coordinating operations, managing incidents, supervising technicians, and maintaining audit-ready environments aligned with DoD and national security standards. Why join us? Competitive Base Salary Company paid health plan for employees PTO Dental and Vision, FSA, HSA Relocation bonus if needed! Many more great perks! Job Details Key Responsibilities Lead daily operations of a secure data center supporting classified workloads, ensuring continuous system availability and compliance with security policies. Perform Tier 2-3 troubleshooting and oversee preventive maintenance across servers, storage platforms, and networking infrastructure. Manage physical infrastructure activities including rack-and-stack deployments, structured cabling, environmental monitoring, and power distribution coordination. Supervise on-site technical personnel and coordinate with systems, network, cybersecurity, and facilities teams to resolve operational issues. Serve as COMSEC Custodian, maintaining accountability and compliance for government-issued cryptographic materials. Act as Major Incident Manager during outages or high-severity events, leading response coordination and root-cause investigations. Maintain asset inventories, lifecycle documentation, and configuration records using enterprise service management platforms. Support compliance initiatives aligned with frameworks such as DISA STIG, FedRAMP, ISO 27001, and SOC 2. Prepare for and support inspections, audits, and customer site visits. Coordinate with vendors and stakeholders to ensure infrastructure reliability and performance optimization. Required Qualifications Active TS/SCI clearance with CI Polygraph Bachelor's degree in Information Technology, Engineering, Facilities Engineering, or related discipline (or equivalent experience) 15+ years supporting enterprise or classified data center operations Hands-on experience with: VMware vSphere / ESXi environments Windows and Linux server administration Enterprise storage platforms (e.g., Dell EMC or similar) Cisco and/or Palo Alto networking technologies Monitoring platforms such as SolarWinds, Splunk, or comparable tools Strong experience with incident, change, and configuration management processes Prior support of classified government environments or cleared infrastructure facilities Ability to complete required COMSEC training within six months of hire Preferred Qualifications Data center certifications (CDCP, CDCS, CDCFM, or equivalent) IT service governance certifications (ITIL v4, COBIT) Security or networking certifications (Security+, Network+, or similar) Familiarity with power and cooling infrastructure (UPS, CRAC units, PDUs, BMS systems) Experience leading major incident response efforts Demonstrated leadership within 24x7 operations environments Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Exciting opportunity to lead cloud solutions and microservices of hyper growth Irving, TX-based company! Great bonus potential! This Jobot Job is hosted by: John Armel Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $120,000 - $160,000 per year A bit about us: We are seeking a dynamic and experienced Cloud Solutions Architect to join our hyper-growth financial services client. This role is crucial to our business as you will be responsible for designing and implementing cloud-based solutions to meet the needs of our clients. The successful candidate will have a deep understanding of cloud computing technologies, business drivers, and emerging computing trends. You will work closely with our clients to ensure the architecture is aligned with the client's business requirements. This role requires a high level of technical expertise and the ability to work collaboratively with various teams. Why join us? Exciting opportunity to lead cloud solutions and microservices of hyper growth Irving, TX-based company! Great bonus potential! Job Details Responsibilities: 1. Design and implement complex cloud-based solutions for our clients. 2. Provide expertise and leadership in Solutions Architecture in the infrastructure and applications space. 3. Develop cloud architecture and solutions optimized for cloud platforms to meet business needs and requirements. 4. Manage and facilitate multi-cloud deployments, ensuring efficient and effective use of resources. 5. Develop and coordinate cloud architecture, and oversee the work of other architects. 6. Develop and implement cloud governance policies and procedures to ensure the security and integrity of cloud services. 7. Automate processes to improve efficiency and reduce manual intervention. 8. Utilize SDLC methodologies to deliver robust, quality solutions to clients. 9. Work closely with clients to understand their business requirements and translate them into technical solutions. 10. Stay up-to-date with the latest industry trends and advancements in cloud computing to inform architectural decisions. Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, or a related field. 2. Minimum of 5 years of experience in cloud architecture and solution design. 3. Proven experience with cloud governance, multi-cloud deployments, automation, scalable cloud solutions, and SDLC. 4. Strong knowledge of Azure and other cloud service providers. 5. Proven ability to design and implement complex cloud solutions. 6. Strong understanding of cloud computing technology and infrastructure as well as experience designing and migrating applications to the cloud. 7. Strong knowledge in software development languages and tools to drive automation and reliability into the infrastructure. 8. Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders. 9. Strong problem-solving skills, with the ability to think strategically and act tactically. 10. Certifications in Azure, AWS, Google Cloud, or other cloud technologies are highly desirable. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Fully On-site in Boyers, PA TS-SCI w/ CI poly REQUIRED (DO NOT APPLY UNLESS YOU HAVE THIS) Relocation Assistance offered! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $190,000 - $235,000 per year A bit about us: A mission-focused engineering organization supporting classified U.S. Government programs is seeking an experienced Data Center Operations & Security Lead to oversee secure infrastructure environments within a high-availability facility. This role is responsible for maintaining operational continuity across compute, storage, networking, and physical infrastructure while ensuring compliance with federal security and communications protection requirements. The selected individual will serve as the on-site technical leader responsible for coordinating operations, managing incidents, supervising technicians, and maintaining audit-ready environments aligned with DoD and national security standards. Why join us? Competitive Base Salary Company paid health plan for employees PTO Dental and Vision, FSA, HSA Relocation bonus if needed! Many more great perks! Job Details Key Responsibilities Lead daily operations of a secure data center supporting classified workloads, ensuring continuous system availability and compliance with security policies. Perform Tier 2-3 troubleshooting and oversee preventive maintenance across servers, storage platforms, and networking infrastructure. Manage physical infrastructure activities including rack-and-stack deployments, structured cabling, environmental monitoring, and power distribution coordination. Supervise on-site technical personnel and coordinate with systems, network, cybersecurity, and facilities teams to resolve operational issues. Serve as COMSEC Custodian, maintaining accountability and compliance for government-issued cryptographic materials. Act as Major Incident Manager during outages or high-severity events, leading response coordination and root-cause investigations. Maintain asset inventories, lifecycle documentation, and configuration records using enterprise service management platforms. Support compliance initiatives aligned with frameworks such as DISA STIG, FedRAMP, ISO 27001, and SOC 2. Prepare for and support inspections, audits, and customer site visits. Coordinate with vendors and stakeholders to ensure infrastructure reliability and performance optimization. Required Qualifications Active TS/SCI clearance with CI Polygraph Bachelor's degree in Information Technology, Engineering, Facilities Engineering, or related discipline (or equivalent experience) 15+ years supporting enterprise or classified data center operations Hands-on experience with: VMware vSphere / ESXi environments Windows and Linux server administration Enterprise storage platforms (e.g., Dell EMC or similar) Cisco and/or Palo Alto networking technologies Monitoring platforms such as SolarWinds, Splunk, or comparable tools Strong experience with incident, change, and configuration management processes Prior support of classified government environments or cleared infrastructure facilities Ability to complete required COMSEC training within six months of hire Preferred Qualifications Data center certifications (CDCP, CDCS, CDCFM, or equivalent) IT service governance certifications (ITIL v4, COBIT) Security or networking certifications (Security+, Network+, or similar) Familiarity with power and cooling infrastructure (UPS, CRAC units, PDUs, BMS systems) Experience leading major incident response efforts Demonstrated leadership within 24x7 operations environments Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Fully On-site in Boyers, PA TS-SCI w/ CI poly REQUIRED (DO NOT APPLY UNLESS YOU HAVE THIS) Relocation Assistance offered! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $190,000 - $235,000 per year A bit about us: A mission-focused engineering organization supporting classified U.S. Government programs is seeking an experienced Data Center Operations & Security Lead to oversee secure infrastructure environments within a high-availability facility. This role is responsible for maintaining operational continuity across compute, storage, networking, and physical infrastructure while ensuring compliance with federal security and communications protection requirements. The selected individual will serve as the on-site technical leader responsible for coordinating operations, managing incidents, supervising technicians, and maintaining audit-ready environments aligned with DoD and national security standards. Why join us? Competitive Base Salary Company paid health plan for employees PTO Dental and Vision, FSA, HSA Relocation bonus if needed! Many more great perks! Job Details Key Responsibilities Lead daily operations of a secure data center supporting classified workloads, ensuring continuous system availability and compliance with security policies. Perform Tier 2-3 troubleshooting and oversee preventive maintenance across servers, storage platforms, and networking infrastructure. Manage physical infrastructure activities including rack-and-stack deployments, structured cabling, environmental monitoring, and power distribution coordination. Supervise on-site technical personnel and coordinate with systems, network, cybersecurity, and facilities teams to resolve operational issues. Serve as COMSEC Custodian, maintaining accountability and compliance for government-issued cryptographic materials. Act as Major Incident Manager during outages or high-severity events, leading response coordination and root-cause investigations. Maintain asset inventories, lifecycle documentation, and configuration records using enterprise service management platforms. Support compliance initiatives aligned with frameworks such as DISA STIG, FedRAMP, ISO 27001, and SOC 2. Prepare for and support inspections, audits, and customer site visits. Coordinate with vendors and stakeholders to ensure infrastructure reliability and performance optimization. Required Qualifications Active TS/SCI clearance with CI Polygraph Bachelor's degree in Information Technology, Engineering, Facilities Engineering, or related discipline (or equivalent experience) 15+ years supporting enterprise or classified data center operations Hands-on experience with: VMware vSphere / ESXi environments Windows and Linux server administration Enterprise storage platforms (e.g., Dell EMC or similar) Cisco and/or Palo Alto networking technologies Monitoring platforms such as SolarWinds, Splunk, or comparable tools Strong experience with incident, change, and configuration management processes Prior support of classified government environments or cleared infrastructure facilities Ability to complete required COMSEC training within six months of hire Preferred Qualifications Data center certifications (CDCP, CDCS, CDCFM, or equivalent) IT service governance certifications (ITIL v4, COBIT) Security or networking certifications (Security+, Network+, or similar) Familiarity with power and cooling infrastructure (UPS, CRAC units, PDUs, BMS systems) Experience leading major incident response efforts Demonstrated leadership within 24x7 operations environments Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Strategic Capital Group: Associate/Sr Associate, Artificial Intelligence (AI) GP Development (Value Creation Team) Location: New York I. About Investcorp: Investcorp is a global alternative investment manager founded in 1982, specializing in private equity, real assets, credit, and liquid strategies for institutional and private clients worldwide. II. About the Strategic Capital Group: Investcorp Strategic Capital Group (SCG) acquires minority interests in leading private market asset managers (Partner GPs) to support long-term business growth. Through its value creation function (GP Development), SCG works closely with Partner GP management teams to develop and implement strategic initiatives spanning fundraising, technology, operations, and human capital. SCG embraced the practical deployment of artificial intelligence in 2023 and now seeks an Associate, AI GP Development to enhance AI implementation across SCG's ecosystem. III. Job Summary: As a GP Development Associate/Sr Associate in the Strategic Capital Group (SCG), you will build relationships across our portfolio of private market GPs ("Partner GPs") while designing, deploying, and scaling artificial intelligence solutions to support the development of our Partner GPs' business initiatives. This role focuses on the practical application of AI, automation, and agentic workflows across a private market GP's full range of internal processes. The Associate will work closely with SCG colleagues and management at Partner GPs to identify, prototype, and manage change for AI-enabled initiatives across a firm's investment process, technology, operations, fundraising. IV. Key Responsibilities: Relationship Management: Build relationships across our portfolio of private market GPs. Strategic Initiatives: Collaborate with Partner GP management teams to design and implement AI-enabled strategic initiatives across a GP's investment process, value creation, fundraising, technology, operations, and other functions. Project Management: Execute multiple GP Development and AI deployment projects simultaneously across the Partner GP portfolio. Subject Matter Expertise: Deploy subject matter expertise in fields most relevant to private market GPs such as artificial intelligence, automation, technology, investments, fundraising, operations, human capital, procurement, product development, fundraising, and firm infrastructure. Agentic Workflows & Automation: Design, build, and manage agentic workflows, including multi-agent orchestration, desktop agents, and human-in-the-loop automation to improve productivity and decision-making. Technical Execution: Develop scripts, tools, and prototypes using Python and SQL; integrate AI models and enterprise systems via APIs. AI Tools & Platforms: Leverage and evaluate leading AI platforms including ChatGPT, Claude, and Microsoft Copilot to support scalable AI adoption. Change Management and MDM: Support organizational change management related to AI adoption, including master data management (MDM), training, workflow redesign, stakeholder communication, and user enablement. CRM and Message Boards: Monitor and populate CRM systems and Partner GP message boards, tracking inquiries, initiatives, and internal follow-ups. Reporting and Tracking: Maintain databases of Partner GP interactions, AI initiatives, deliverables, and performance metrics. V. Qualifications: Education: Bachelor's degree in Computer Science / Machine Learning, or Business, Finance, Economics, Engineering, or a related field. MBA or advanced degree additive. Experience: 2-5+ years of experience in management consulting, private equity value creation, technology, analytics, or a related field. Hands-on experience with Python, SQL, APIs, and AI-enabled workflow development strongly preferred. Attributes: Self-motivated, detail-oriented, and comfortable working in a fast-paced, entrepreneurial environment with strong interpersonal and communication skills. VI. Compensation: Competitive salary and benefits package, including performance-based bonuses. VII. Location: New York City. Four days in-office and one WFH with occasional business travel. Relocation assistance is available. VIII. Skills & Qualifications A. Core requirements: Problem solving: Ability to translate ambiguous business questions into structured, data backed approaches and actionable outputs. End to end delivery: Experience taking work from early exploration through real world deployment, including user testing and adoption. Analytical rigor: Strong AI/quantitative foundation applied to practical business decisions. Data wrangling: Hands on experience cleaning, transforming, and engineering real world datasets. Stakeholder communication: Clear written and verbal communication with both technical and non technical audiences. Programming & applications: Proficiency in Python Working knowledge of SQL Proficiency in Microsoft Excel Agentic AI Experience designing, building, and supporting AI driven workflows, agents, and products. Hands on experience using one or more of Enterprise ChatGPT, Claude, or Microsoft Copilot. Experience applying agentic AI concepts to real business problems, including tool use, retrieval and knowledge, multi agent coordination, memory, and handoffs. Experience with agent development across one or more approaches: o Desktop and browser based agents: Building agents in tools like ChatGPT, Claude, or Copilot to automate desktop and browser workflows. o Business facing agent platforms: Building and managing agents in platforms such as Copilot Studio or similar low to moderate code environments. o SDKs: Building more customized or scalable agents using SDKs and APIs. Experience managing the agentic AI lifecycle, including: o Business requirements: Translating business needs into well scoped agent designs and delivery plans. o User testing and feedback: Running user testing, gathering feedback, and iterating based on real usage. o Risk and governance: Setting guardrails, managing permissions, and protecting sensitive data for safe deployment. o Evaluation and monitoring: Validating outputs, testing edge cases, and tracking quality, cost, and performance over time. o Adoption and enablement: Training users and creating playbooks to support adoption. o Documentation: Maintaining clear documentation for use cases, workflows, limitations, and support paths. B. Desired (but not required) qualifications: Integrations, automation, and data visualization: Comfort working with APIs and/or integrations across systems and data sources. Familiarity with Microsoft Power Platform tools such as Power Automate. Familiarity with Power BI for analysis and dashboard creation. Cloud and data platforms: Familiarity with Databricks. Familiarity with Azure, AWS, or GCP. Engineering best practices: Working knowledge of version control and collaborative development practices such as Git.

Summary GENERAL SUMMARY: Responsible for the establishment and maintenance of Bryan Health data and AI governance program and infrastructure. As the organizations data and AI governance champion, collaborates with leaders and data stewards across Bryan Health to develop, implement, and execute the organizations data and AI governance strategies, policies, and procedures and serves as the technical expert in the quality of foundational data supporting operations, analytics, and AI. As a critical part of Bryans Data Analytics Center of Excellence, recommends data and AI governance policies to entity governance for review and approval, while working with Data Analytics, IT and key business units to constantly improve data definitions, integrity, security, and reliability, ensuring high-quality inputs for analytics and AI models. Additionally, the Data Governance Program Manager works closely with Data Engineering and Analytics to embed governance principles into data source architecture and maintenance. PRINCIPAL JOB FUNCTIONS: 1. Commits to the mission, vision, beliefs and consistently demonstrates our core values. 2. Participates in or supports work stream planning process. 3. Effectively communicates with executive sponsors, project advocates, leaders, and data stewards to help them understand and apply policy and principles of data and AI governance while ensuring that deliverables meet business requirements. 4. Develops and plays a hands-on role in operationalizing an organization-wide data and AI governance strategy, framework and roadmap that aligns with the organizations overall data, analytics, AI, and data security strategy. 5. Defines and enforces data standards, data classification, and data protection guidelines to ensure consistent and reliable data across systems, processes, and business units. 6. Translates Data and AI governance policies and standards into actionable strategies and implementable solutions, ensuring practical application and demonstratable impact on data reliability. 7. Develops and implements policies and standards for managing data used in AI models to ensure quality, security, privacy, and compliance with relevant regulations. 8. Collaborates with business stakeholders, data owners and data stewards to establish data and AI governance roles, responsibilities, and accountabilities within the organization. 9. Collaborates with Data Science and AI/ML teams to ensure the reliability of data used in AI training, validation, and deployment. 10. Aligns data governance policies with AI development lifecycle, ensuring proper data stewardship and governance throughout the AI project lifecycle. 11. Conducts assessments to identify data issues, gaps, and opportunities for improvement, using SQL, scripting, and analytics tools to analyze data quality and validate adherence to governance standards. 12. Provides guidance and training to business users and data stewards on data and AI governance policies, procedures, and best practices. 13. Leads data fluency initiatives by applying strong analytical skills and delivering clear, effective coaching that builds staff confidence in using data. 14. Collaborates with Data Council, Advisory Teams, and other governance groups for program oversight and issue resolution. 15. Identifies and mitigates risks related to AI data, including bias, fairness, and privacy concerns, to support responsible AI practices. 16. Works closely with Data Analytics and IT to design and implement data governance tools, technologies, and platforms to provide data quality checks, data cataloging, and data lineage tracking. 17. Stays up to date with AI and data governance industry trends, emerging technologies, regulatory changes, and standards around the evolving legal, ethical, and technological standards related to AI and data governance, and proactively recommends improvements and enhancements to governance frameworks. 18. Ensures that data used in AI systems complies with data privacy laws and organizational policies and maintains auditability of AI data pipelines. 19. Engages and advises the Bryan Data Council on project prioritization and other agenda items as needed. 20. Develops effective collaborative relationships with stakeholders across the Bryan Health System. 21. Works with executive sponsors and project advocates to ensure products meet business requirements. 22. Collaborates with other teams and leaders to ensure resources and priorities align with Data Council guidance. 23. Establishes effective relationships with clients and provides leadership for all data and AI governance at Bryan. 24. Maintains professional growth and development through seminars, workshops, and professional affiliations to keep abreast of latest the latest trends in field of expertise. Keeps abreast of industry news and trends. 25. Effectively facilitates and participates on multi-disciplinary teams; attends and participates in project meetings and activities. 26. Performs other related projects and duties as assigned. (Essential Job functions are marked with an asterisk ). REQUIRED KNOWLEDGE, SKILLS AND ABILITIES: 1. Expert knowledge and hands-on experience with principles of data governance and data governance program design. 2. Expert knowledge in defining and implementing data quality rules and metric definition cataloging. 3. Knowledge of AI and AI governance. 4. Knowledge of health care market and industry trends. 5. Knowledge of databases, data structures, data lineage and data usage. 6. Knowledge of computer hardware equipment and software applications relevant to work functions. 7. Excellent problem solving and process improvement skills. 8. Excellent communication skills and ability to explain the strategic value of data integrity, governance, and stewardship to both technical and business stakeholders. 9. Strong ability in program and project management. 10. Strong ability to perform data validation and quality assurance processes. 11. Proficient with common analytics, reporting and visualization tools and methods (including SQL, Power BI, Python, Excel) 12. Ability to perform crucial conversations with desired outcomes. 13. Ability to communicate effectively both verbally and in writing. 14. Ability to establish and maintain effective working relationships with all levels of personnel and medical staff. 15. Ability to effectively interact with clients that have a broad range of computer knowledge and ability. 16. Ability to plan for and act on changes in the business and market environment that impact current business plans and processes. 17. Ability to problem solve and engage independent critical thinking skills. 18. Ability to prioritize work demands and work with minimal supervision. 19. Ability to maintain confidentiality relevant to sensitive information. 20. Ability to maintain regular and punctual attendance. EDUCATION AND EXPERIENCE: Bachelors degree in Data Science, Data Management, Analytics, Computer Science, Public Health, Hospital Administration, Business, or related field required. Masters degree preferred. Five (5) years of related work experience including writing complex queries with Microsoft SQL Server required. Prior project leadership experience (formal or informal) required. Prior data governance experience required. Prior Epic experience preferred. OTHER CREDENTIALS / CERTIFICATIONS: Epic Cogito Fundamentals and Cogito Project Manager certification preferred. Epic certification in Cogito Fundamentals and Cogito Project Manager required within six (6) months of hire. PHYSICAL REQUIREMENTS: (Physical Requirements are based on federal criteria and assigned by Human Resources upon review of the Principal Job Functions.) (DOT) Characterized as sedentary work requiring exertion of up to 10 pounds of force occasionally and/or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See Advantage AI Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

Job DescriptionJob DescriptionDescription: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. eSimplicity is seeking a skilled and motivated Senior AI/ML Engineer to join our data analytics team. In this role, you will be responsible for leading end-to-end model lifecycle engineering on Azure, advance MLOps best practices, and build AI agents (Copilot Studio + Python frameworks) that translate signals into timely, actionable decisions. Successful candidates will be eligible to hold a U.S. Federal Public Trust security clearance. This position is contingent upon contract award. Responsibilities: Architect, implement, and productionize ML solutions (supervised/unsupervised, NLP, deep learning) with robust data preprocessing, feature engineering, and evaluation pipelines. Lead model selection, training, validation, optimization, and calibration, ensuring reliability, fairness, and performance at scale. Establish MLOps workflows (CI/CD for ML, experiment tracking, model registry, reproducible builds and deployments). Implement model monitoring (drift, data/feature quality, bias, and business KPIs), alerting, and automated rollback to keep systems safe and responsive. Design high-quality data pipelines (ingest, transform, validate) across structured and unstructured sources; enforce data contracts and lineage. Partner with analytics teams to make datasets discoverable, documented, and performant for iterative model development. Build AI agents that operationalize safety analytics (Copilot Studio, Python agents, retrieval pipelines) to accelerate triage and decision flow. Integrate agents with APIs, event streams, dashboards, and case management systems to reduce cycle time from signal to action. Champion secure-by-design practices, reproducibility, and auditability (model cards, data sheets, deployment records). Contribute to coding standards, code reviews, and knowledge sharing; mentor engineers and data scientists. Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement. Translate mission goals into technical roadmaps and measurable outcomes tied to Sentinel time-to-intervention targets. Provide technical vision and direction to complex model-related initiatives. Offer guidance and oversight to junior personnel and contribute as a hands-on expert in the field. Engage closely with project managers, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with business goals. Translate technical specifications into code and design documents Requirements: Required Qualifications: PhD or Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, OR related field; equivalent education as determined by the organization may be considered where permitted by law. Experience:8+ years hands-on developing and deploying AI/ML models in production environments. Programming: Python (including packaging, testing, performance optimization). ML Expertise: Deep understanding of algorithms, model selection, training/validation/optimization, and evaluation at scale. Data Skills: data preprocessing, feature engineering, and data visualization for decision support. Deep Learning & MLOps: Proficiency in PyTorch/TensorFlow, and modern MLOps (deployment, monitoring, scaling, CI/CD, experiment tracking, model registry). Cloud: Proven experience with Azure for AI/ML workloads (e.g., Azure ML, Azure Synapse, Azure Data Lake). AI Agents: Experience developing AI agents in Copilot Studio and via Python frameworks (tooling, orchestration, retrieval, connectors). Strong attention to detail with a commitment to delivering high-quality and accurate work. Excellent communication skills, both written and verbal, with the ability to collaborate effectively across teams. Proven ability to manage time and prioritize tasks in a fast-paced environment. Demonstrated problem-solving skills with a proactive and solution-oriented mindset. Preferred Qualifications: Experience with streaming/event-driven architectures (Event Hubs), feature stores, and vector databases (for retrieval augmented generation). Hands-on with responsible AI (fairness, explainability, privacy), model governance (model cards, audits), and security in cloud ML. Familiarity with domain-specific risk analytics and public sector/regulated environments. Soft leadership skills - including mentoring of other technical personnel on the program. Certifications in Azure AI/ML and/or MLOps advantageous. Working Environment: eSimplicity supports a hybrid work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer a highly competitive salary and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.