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8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238 CarMax, the way your career should be! About this job At CarMax, we are industry disruptors. At the heart of our innovation is new digital products. Working on many different aspects of the customer experience, our Senior Engineers research and discover new opportunities and shape products to fulfill them. From inception to completion, you will develop tools and technology, learning quickly from our spirit of experimentation. You will have a direct impact on improving the performance of our business and ensuring customers can buy the vehicles they want in a way that is right for them! Purpose of the role It takes a passion for technology to develop ground-breaking products. Working collaboratively and creatively as part of a close-knit product team, you will be part of the development process from end to end: consulting users, carrying out experiments, tackling complex business problems and implementing new products. You can balance customer needs with business goals and know how to deliver technical solutions that enhance business value. Creative, curious, and highly analytical, you never stop learning and thrive on constant change in the digital marketplace. What you will do - Essential Responsibilities Take a lead role in implementing our new Cloud based Financial solutions and specifically by managing business requirements and leading the functional design, prototyping and process design stages of our Cloud ERP implementation. Including partnering with our SI partner, other technology teams and internal business SMEs. Work with fellow CarMax associates to understand the real-life process and data challenges and discover what they need to create a seamless customer experience and an efficient associate experience. Collaborate with colleagues in product design, product management, systems architecture, and various operational and technical teams to develop solutions and bring great ideas to life. Market your innovative ideas internally and evolve them according to feedback and critique within an agile environment. Stay on top of industry trends and best practice to continuously improve what we do and ensure our customer and associate experience is the best it can be. Leads analysis for conversion of existing legacy data into Oracle by analyzing data extracts and data mapping Effectively leads change, working with management and users to ensure involvement, participation, and encouragement of others' ideas and contributions for effective teamwork and successful project execution Work hands-on to understand, validate, build, test, train, and support our users as you help simplify business processes across various platforms Work with offshore/onsite technical teams to develop solutions based on the business requirements Responsible for application configuration, Functional specs, and Standard Operating Procedure (SOP) documents Conduct business interviews in solidifying business system requirements. Collaborate with Application team members, Product owners to prioritize and create transparency for critical initiatives required to scale the company. Ensure the business requirements are broken down into technical user stories for development Setup/configure Oracle ERP Cloud Financials suite according to the approved business requirements. Qualifications and Requirements Basic Qualifications Bachelor's Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 5+ years of relevant work experience or Master's Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 3+ years of relevant work experience Preferred Qualifications Demonstrated expertise in the Implementation, Upgrade, Enhancement, Analysis, Design, Development, Testing, and Support of Oracle Fusion Cloud 5+ years' experience in architecting and designing finance solutions in Oracle Enterprise applications 5+ years of Finance functional experience in Oracle eBusiness Suite and Oracle Cloud ERP Financial modules GL, AR, AP, PO, FA, Cash Management, Tax, Project Accounting (Billing/Costing), Inventory Costing with at least two cloud full lifecycle implementations Hands on Experience in end-to-end business processes (Record to Report, Order to Cash, Invoice to Report and Procure to Pay) Experience in Oracle Cloud OTBI, BI Publisher, Financial Reporting tools Experience in Forecasting, Planning & Analysis (FP&A) applications Ability to articulate complex systems and technical topics in a clear, concise manner Strong problem solving and analytical capabilities Develop, design, test and validate configuration/customizing related to new business processes developed as part of the business process improvement initiatives either as production support initiatives or in new projects. Work with the ERP security team on resolving authorization issues and provide recommendations on optimal security setup for ongoing project requirements. Work with the in-house development team by providing functional specifications for new development/configuration; test and validate the development/configuration for release to production and business use. Work independently with business process owners on presenting innovative solutions, leading workshops from scoping phase through realization phase of the projects. Ability to handle multiple simultaneous tasks and consistently deliver on activities Software Specific Qualifications and Requirements Experience in the following required: Oracle ERP Financial modules GL, AR, AP, PO, FA, Cash Management, Tax, Project Accounting (Billing/Costing), Inventory Costing (EBS or Fusion) Oracle Cloud OTBI, BI Publisher, Financial Reporting tools SQL knowledge Business process knowledge Requirements Gathering Unit Testing Experience in the following preferred: Oracle certification Work Location and Arrangement: West Creek: This role will be based out of the CarMax Home Office at West Creek (Richmond, VA) and associates will work onsite 5 days per week OR Plano: This role will be based out of the CarMax Dallas Tech Hub (Plano, TX) and associates will work onsite 2 days per week Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role. About CarMax CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 250 locations nationwide. Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For . Our Commitment to Diversity and Inclusion: CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment. CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application . 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 CarMax Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

Sr Lead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 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 theCapital 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 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 Machine Learning Engineer (KServe + Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deploy ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer 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 theCapital 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 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 Technology Development Operations EngineerCooley is seeking a Senior DevOps Engineer to join the Infrastructure & Development Operations team.Position summary: The Technology Development Operations (DevOps) Engineer is responsible for building, maintaining, and optimizing the infrastructure and automation pipelines that support Cooley's custom application delivery. Working under the guidance of the Development Operations Manager, this role focuses on improving the efficiency, security, and reliability of the firm's hybrid cloud environments and CI/CD workflows. The engineer will collaborate closely with development, data, and infrastructure teams to ensure seamless integration and deployment of applications. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Build, configure, and maintain DevOps infrastructure across hybrid cloud environments (AWS, Azure, on-prem) Develop and maintain Infrastructure as Code (IaC) using Terraform and related tools Implement and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins Automate provisioning, configuration, and deployment processes to support rapid and secure software delivery Monitor system performance, availability, and security using tools like Datadog, AppDynamics, or New Relic Participate in incident response, root cause analysis, and postmortem documentation Support release management processes across Dev/Test/Prod environments Work with development and data teams to integrate applications into the DevOps-managed environment Attend stand-ups and planning sessions to stay aligned with product and infrastructure roadmaps Provide documentation and knowledge sharing for operational processes and tooling Consult peer teams for feedback during the design, testing, and implementation stages All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 6+ years of experience in cloud infrastructure and DevOps Proficiency in AWS or Azure architecture, configuration, and security Experience designing CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform skills, including use of Terragrunt and advanced workflows Hands-on experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Experience deploying .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's degree in Computer Science, IT, Engineering, or associated discipline Experience with ETL workflows and tools such as AWS EMR, Azure Synapse, Data Factory, Hive, Spark, or Airflow Experience deploying AKS/EKS/GKE via IaC Familiarity with enterprise Data Lake environments (e.g., Databricks, Snowflake)Competencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues. Excellent organizational, planning, and time management skills and ability to work either independently and in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of business professionals, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $155,000 - $220,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. As a P4 Senior IT Architect you will help redesign and rebuild our next-generation platform on a modern cloud-native technology stack. You will partner closely with staff engineers, product, and enterprise architecture to translate business strategy into secure, scalable, and maintainable technical solutions. You will provide architectural direction for one or more domains within the ecosystem, ensuring that solutions are aligned with enterprise standards, are testable and observable, and can be delivered incrementally by engineering teams. Our Tech Stack Primary Skills: C# / .NET, TypeScript, React, Postgres, RESTful APIs / GraphQL Secondary Skills: Kafka, Git/version control, Terraform, CI/CD pipelines, Unit testing frameworks (xUnit, Jest) Nice to Have: Azure cloud platform, Redis, Microservices architecture, MFE Architecture AI & Tooling: Experience evaluating and incorporating AI-assisted development, testing, and observability tools into architectural designs and standards, including guidance on patterns and risks. What You'll Do Define and document target architectures, domain boundaries, and integration patterns for the platform, with a focus on modularity, testability, and resilience. Partner with P5 Staff Engineers, P6 Principal/Enterprise Architects, and product leadership to translate business and product strategy into actionable architectural roadmaps. Create and maintain architectural artifacts such as context diagrams, sequence diagrams, data models, and API/interface contracts. Evaluate current-state systems and propose pragmatic migration paths to the target architecture, including strangler patterns, domain carve-outs, and phased delivery approaches. Collaborate with engineering teams to ensure designs are understood, feasible, and implemented as intended, providing hands-on guidance and design reviews as needed. Define non-functional requirements (security, performance, availability, scalability, observability) and ensure they are incorporated into designs, backlogs, and acceptance criteria. Work closely with Quality Engineering and DevOps to ensure architectures support automated testing, CI/CD quality gates, and robust observability and incident response. Assess and recommend technologies, frameworks, and platforms (including AI-assisted tools) that align with enterprise standards and the needs of the platform. Act as a trusted advisor and architectural point-of-contact for one or more product domains, helping to unblock teams and guide decision-making. Minimum Qualifications:- Typically 8+ years of experience in software engineering or architecture roles, with significant experience designing distributed systems and integrations. About You Technical & architectural skills: Strong hands-on background with C#/.NET and modern web technologies (e.g., TypeScript, REST/GraphQL APIs). Experience designing and integrating microservices and event-driven architectures using technologies such as Kafka. Solid understanding of relational database design and data modeling (PostgreSQL preferred), including balancing transactional and reporting needs. Familiarity with cloud-native architectures and platforms (Azure preferred), including security, networking, and resiliency considerations. Experience defining and driving adoption of architectural standards, patterns, and best practices across teams. Non-technical & leadership skills: Strong systems thinking skills with the ability to balance near-term delivery with long-term architectural health. Excellent communication and facilitation skills; able to lead design sessions and explain complex concepts to technical and non-technical stakeholders. Experience partnering with product managers and business stakeholders to shape roadmaps and ensure architectural concerns are represented in planning. Ability to influence without direct authority, building consensus and alignment across engineering teams. Comfortable working in an Agile environment, supporting incremental delivery while maintaining architectural integrity. Education & Experience Bachelor's degree or above in Computer Science, Software Engineering, or related field, or equivalent experience. Typically requires 8+ years of relevant experience in software engineering and/or architecture, with demonstrated ownership of domain or system-level designs. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $120,400 - $200,600 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Overview As a USP Staff Software Engineer, you will design and deliver solutions that help our healthcare system work more efficiently and effectively-helping millions of people receive their prescription medications each year. You'll work on small, cross-functional, highly collaborative teams and operate as a senior technical leader who turns product intent into clear, actionable engineering work. This role plays a critical part in bridging product strategy and technical execution. You will help break down complex product requirements into scalable technical solutions, consult across multiple engineering teams, and ensure delivery aligns with approved USP architectures and platform standards. The role has a strong emphasis on automation and modern cloud-native development, helping advance USP's platform capabilities while improving engineering effectiveness and long-term system health . What You'll Do Translate product requirements into technical execution Partner closely with Product, Design, and Engineering leaders to decompose product requirements into well-defined technical work, including epics, features, service boundaries, APIs, data models, and non-functional requirements. Lead technical discovery efforts to identify dependencies, risks, and tradeoffs early, producing clear plans that improve delivery predictability. Create and maintain technical artifacts such as design documents, RFCs, integration contracts, and architectural diagrams that enable alignment and execution across teams. Collaborate and consult across engineering teams Act as a technical consultant and advisor across USP and partner engineering teams, helping drive consistency in architecture, APIs, event contracts, and shared platform approaches. Facilitate alignment with platform, security, and architecture stakeholders, helping teams converge on sound technical decisions. Influence outcomes through strong communication , technical credibility, and pragmatic problem-solving rather than formal authority. Build solution technologies aligned to USP architectures Utilize a representative modern tech stack-including Node.js, TypeScript, React, GraphQL (Apollo), Azure Cloud Services, event-driven architectures and messaging platforms, and robust CI/CD and cloud-native tooling-to design, develop, and deploy scalable solutions that meet USP's architectural standards. Ensure all solution technologies are built with scalability, reliability, and maintainability in mind, leveraging cloud-native and AI best practices and event-driven patterns. Apply modern CI/CD processes to streamline development and deployment, maintaining alignment with USP platform standards and promoting engineering effectiveness. Apply event-driven architecture principles to enable asynchronous workflows, interoperability, and loose coupling. Identify and drive opportunities to apply AI and intelligent automation to product and tech workflows, decision support, and engineering productivity. Guide teams in designing AI-enabled capabilities that are reliable, observable, secure, and maintainable in accordance with company standards and governance processes Quality, ownership, and operational excellence Own the quality of the solutions you build through strong testing strategies, observability, and resilient system design that deliver on solution obligations. Support and maintain production systems, contributing to incident resolution and continuous improvement. Partner with platform teams to identify and deliver desired platform services and capabilities while adhering to best practices. Contribute to a healthy agile environment through iterative delivery, clear communication, and continuous learning. Minimum Qualifications 10+ years of professional software engineering experience building and operating production systems. About You Required Qualifications Strong experience designing and delivering cloud-native solutions on Azure. Deep experience with GraphQL API design, schema evolution, and performance considerations. Hands-on experience with event-driven architectures , including event modeling, asynchronous workflows, and messaging systems. Demonstrated ability to translate ambiguous business or product problems into clear technical designs and execution plans. Proven experience delivering AI-enabled capabilities and automated processes in production environments. Strong written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences. A collaborative, consultative mindset with the ability to influence across teams. Preferred Qualifications Experience working in healthcare, regulated environments, or large-scale platform ecosystems. Experience building shared platforms, internal frameworks, or reusable architectural patterns. Familiarity with workflow orchestration or service choreography patterns. Experience mentoring senior engineers and raising the overall technical bar of an organization. What Success Looks Like Product requirements consistently translate into clear, actionable technical plans with fewer surprises. Engineering teams deliver solutions that align with USP architectural standards while moving quickly and safely. AI-enabled capabilities are introduced thoughtfully, improving product outcomes and/or engineering effectiveness. Systems are modular, scalable, and easier to evolve as USP continues to grow. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $148,700 - $247,900 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds' Data & Analytics is looking for a Specialist, Data Engineering to join our DataEngineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. What You'll Do The Specialist, Data Engineering will support and expand the data platforms that power our commercial data products and analytics offerings. This role will contribute to the design and delivery of scalable, reusable data assets that enable both internal teams and external partners to derive value from our data. You will work across proprietary and third-party data sources to build well-structured, high-quality datasets, prototypes, and sample data assets that support commercialization efforts. This role partners closely with Data Systems Analysts, Product, and Analytics teams to translate evolving business concepts into tangible, testable data solutions. Position Description Design and develop data solutions that integrate proprietary and third-party data sources to support commercial data products and proof-of-concept initiatives. Build and optimize data ingestion and transformation pipelines that enable rapid iteration while maintaining quality and governance standards. Work with structured and unstructured data to prepare enhanced, sample, or prototype datasets for internal stakeholders and potential external customers. Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse, standardize, and enrich data aligned to defined business use cases. Collaborate with Product, Analytics, and external-facing teams to translate commercialization objectives into scalable data assets. Contribute to conceptual data models and reusable data patterns that support future data product expansion. Partner with application and platform teams to understand upstream data flows and design appropriate ingestion strategies. Support monitoring of data quality, performance, and reliability for commercialized data assets. Priority will be given to candidates who reside in the Columbus, OH metropolitan area. We are unable to provide sponsorship for this role presently, or in the future. Minimum Qualifications Degree or equivalent and typically requires 4+ years of relevant experience Education Bachelor's degree in Computer Science, Information Systems, or related field Critical Skills 4+ years of experience in data engineering, analytics engineering, or modern data platform environments 4+ years h ands-on experience with cloud data technologies such as Snowflake, Databricks, or similar platforms Strong ( 4+ years) SQL skills and experience transforming data for analytical, reporting, or product-oriented use cases Experience integrating data from multiple internal and third-party systems Experience working with structured and semi-structured data in batch and/or streaming environments Working knowledge of data modeling principles and data quality practices Experience supporting analytics, reporting, or externally facing data use cases Preferred Skills Experience with or interest in data commercialization, data products, or externally facing analytics solutions Experience building prototype or proof-of-concept data assets, or interest in working in rapid iteration environments Comfort working with evolving requirements and ambiguity Ability to translate loosely defined business ideas into structured data outputs Strong collaboration skills across product, analytics, and technical teams Ownership mindset with a bias toward execution We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $105,500 - $175,900 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!

Senior Technology Development Operations EngineerCooley is seeking a Senior DevOps Engineer to join the Infrastructure & Development Operations team.Position summary: The Technology Development Operations (DevOps) Engineer is responsible for building, maintaining, and optimizing the infrastructure and automation pipelines that support Cooley's custom application delivery. Working under the guidance of the Development Operations Manager, this role focuses on improving the efficiency, security, and reliability of the firm's hybrid cloud environments and CI/CD workflows. The engineer will collaborate closely with development, data, and infrastructure teams to ensure seamless integration and deployment of applications. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Build, configure, and maintain DevOps infrastructure across hybrid cloud environments (AWS, Azure, on-prem) Develop and maintain Infrastructure as Code (IaC) using Terraform and related tools Implement and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins Automate provisioning, configuration, and deployment processes to support rapid and secure software delivery Monitor system performance, availability, and security using tools like Datadog, AppDynamics, or New Relic Participate in incident response, root cause analysis, and postmortem documentation Support release management processes across Dev/Test/Prod environments Work with development and data teams to integrate applications into the DevOps-managed environment Attend stand-ups and planning sessions to stay aligned with product and infrastructure roadmaps Provide documentation and knowledge sharing for operational processes and tooling Consult peer teams for feedback during the design, testing, and implementation stages All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 6+ years of experience in cloud infrastructure and DevOps Proficiency in AWS or Azure architecture, configuration, and security Experience designing CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform skills, including use of Terragrunt and advanced workflows Hands-on experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Experience deploying .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's degree in Computer Science, IT, Engineering, or associated discipline Experience with ETL workflows and tools such as AWS EMR, Azure Synapse, Data Factory, Hive, Spark, or Airflow Experience deploying AKS/EKS/GKE via IaC Familiarity with enterprise Data Lake environments (e.g., Databricks, Snowflake)Competencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues. Excellent organizational, planning, and time management skills and ability to work either independently and in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of business professionals, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $155,000 - $220,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Senior Technology Development Operations ManagerCooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team.Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure) Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries Lead the evolution of our DevOps and DevSecOps practice maturity Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure Define, document, and enforce configuration standards and governance through IaC Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling Serve as a technical escalation point Work with our development and data teams to integrate products into a DevOps-managed environment Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases Participate in software releases and deployments Contribute to the design, update, refinement, and documentation of operational processes Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD Brainstorm new ideas and ways to improve product delivery and efficiency Consult peer teams for feedback during the design, testing, and implementation stages Serve as direct supervisor and mentor to direct reports Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests Support business professional development and continued educational opportunities In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles Proficiency in AWS or Azure architecture, configuration, and security Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform expertise, including advanced workflows and tools like Terragrunt Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Hands-on with .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Supervisory experience Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. We are seeking a Software Engineer with deep interest and experience in Identity & Access Management (IAM) to help design, build, and secure authentication and authorization capabilities across CoverMyMeds' platforms. This role sits on a core IAM platform team that owns end-user identity, federated authentication, and authentication infrastructure for web applications, partnering closely with Security, Product, and other engineering teams. This is a hands-on individual contributor role in a product-oriented, Kanban-driven environment, where impact is achieved through technical depth, secure engineering practices, and collaboration. What You'll Do Identity Engineering & Integrations Design, build, and maintain authentication and authorization solutions using OIDC, OAuth 2.0, and SAML . Integrate applications and APIs with identity platforms such as Okta, Auth0, Ping, or Microsoft Entra ID . Implement SSO, MFA, federated authentication, session management, and secure token handling . Contribute to identity services such as login gateways, authorization middleware, claims transformation, and access policy enforcement. Support SMART on FHIR (OAuth 2.0) use cases and unified authentication initiatives. Security & Standards Apply industry-standard security practices including least privilege, secure defaults, defense in depth, and secure secret handling . Partner with Security on threat modeling, risk reviews, and secure SDLC practices . Implement identity solutions aligned with NIST-based identity and access control principles . Software Development & Delivery Build production-quality systems using one or more of JavaScript/TypeScript, Ruby, Python, or C# . Write clean, testable, maintainable code with strong engineering discipline (CI/CD, code reviews, automated testing). Create clear technical documentation for APIs, integrations, and operational support. Participate in on-call or operational support for critical identity services as needed. Ways of Working Work within a Kanban delivery model , managing flow and continuously improving quality and throughput. Collaborate with Product, Security, and stakeholders to define outcomes and manage tradeoffs. Bring an enterprise-first mindset , constructively challenging designs and contributing new ideas. Priority will be given to candidates who reside in the Columbus , OH metropolitan area. We are unable to provide sponsorship for this role now or in the future. Minimum Qualifications Degree or equivalent and typically requires 4+ years of relevant experience Education Degree not required . Critical Skills: 4+ years' experience building and shipping production software as an individual contributor. Deep experience (4+ years) with Okta and/or Auth0 (policies, apps, federation, claims). Hands-on experience (4+ years) implementing or integrating authentication and authorization using OIDC, OAuth 2.0, and/or SAML. Strong understanding of secure engineering practices and common identity threats. Experience working in at least one of the following: JavaScript/TypeScript, Ruby, Python, C# . Ability to collaborate across engineering, product, and security teams and communicate technical decisions clearly. Preferred Qualifications Experience with SMART on FHIR , SCIM, directory integrations, or identity lifecycle management. Familiarity with RBAC/ABAC , claims-based authorization, or policy engines. Experience in regulated environments and audit support. Experience improving reliability of critical auth systems (SLIs/SLOs, graceful degradation). We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $100,100 - $166,900 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!

Senior Technology Development Operations ManagerCooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team.Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure) Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries Lead the evolution of our DevOps and DevSecOps practice maturity Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure Define, document, and enforce configuration standards and governance through IaC Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling Serve as a technical escalation point Work with our development and data teams to integrate products into a DevOps-managed environment Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases Participate in software releases and deployments Contribute to the design, update, refinement, and documentation of operational processes Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD Brainstorm new ideas and ways to improve product delivery and efficiency Consult peer teams for feedback during the design, testing, and implementation stages Serve as direct supervisor and mentor to direct reports Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests Support business professional development and continued educational opportunities In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles Proficiency in AWS or Azure architecture, configuration, and security Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform expertise, including advanced workflows and tools like Terragrunt Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Hands-on with .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Supervisory experience Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is hiring a Senior Data Architect to lead the modernization of our enterprise analytics visualization ecosystem. This role defines the architectural strategy for transitioning from on-premises BI capabilities to modern, cloud-based solutions that support internal teams and external healthcare partners. The ideal candidate has deep experience in BI/visualization architecture, cloud migration, and enterprise-scale analytics environments-preferably within healthcare. What You'll Do Evaluate and document the current on-premises visualization environment, including semantic layers, security, performance, and integrations. Define the target-state cloud architecture across Azure, Databricks, Tableau, and Power BI. Build and lead a multi-year roadmap to migrate visualization platforms to cloud-based solutions. Establish enterprise standards for semantic modeling, certified datasets, naming conventions, and governed business logic. Develop reusable architectural patterns for: Self-service analytics Embedded/external-facing analytics Multi-tenant and secure access models Performance optimization Architect row-level, object-level, and role-based security aligned with HIPAA and regulatory requirements. Partner with data engineering to align upstream transformations with downstream semantic and visualization needs. Create governance for dashboard certification, promotion workflows, metadata, and lineage visibility. Lead design reviews to ensure alignment with modernization standards. Mentor BI developers, analytics engineers, and architects on best practices. Minimum Qualifications Degree or equivalent and typically requires 7+ years of relevant experience Education Bachelor's degree in Computer Science, Information Systems, or related field. Critical Skills 7+ years of technical experience; 5+ years in analytics or BI architecture with strong focus on visualization and semantic layers. Proven experience (5+ years) leading BI modernization or cloud migration efforts. Strong background (5+ years) in dimensional/semantic modeling and BI performance optimization. Experience with Azure-based analytics ecosystems and Databricks. Comfortable supporting large-scale environments serving internal and external users. Deep knowledge of BI security, including RLS and multi-audience access controls. Ability to translate complex business and technical requirements into scalable architecture. Preferred Skills Healthcare industry experience. Strong communication and influence across technical and business teams. Experience with customer-facing or embedded analytics. Background building enterprise BI standards and reusable frameworks. Familiarity with data catalogs, metadata tools, and governance practices. Success operating in large, distributed enterprise environments. Ability to balance long-term strategy with incremental modernization delivery. Bonus: Cognos experience. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $124,100 - $206,900 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!

Senior Lead Machine Learning Engineer, (Intelligent Foundations & Experiences)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 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 theCapital 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 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).

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Current Need: We are seeking a highly skilled Azure Cloud & Systems Engineer to design, build, support, and continuously improve our Azure cloud environment and the infrastructure supporting our business-critical applications. This role requires deep technical expertise across Azure services, networking, security, Windows/Linux VMs, and secure file transfer technologies. The ideal candidate has extensive hands-on cloud engineering experience, excels in critical situations, communicates clearly with both technical and non-technical stakeholders, and thrives in a collaborative, team-oriented environment. This position also participates in an on-call rotation for after-hours incident response. Key Responsibilities: Azure Cloud Engineering Design, deploy, administer, and secure Azure resources (compute, networking, storage, governance). Create and maintain Alerting, Monitoring, and Dashboarding. Manage Azure policies, RBAC, tagging strategy, and enterprise governance controls. Support Azure Networking, including VNets, firewalls, routing, VPNs, endpoints, and private networking. Provision and maintain Windows and Linux virtual machines and related services. Support web applications and Azure components. Manage secure file transfer solutions (e.g., GoAnywhere, SFTP/FTP). Systems Engineering & Administration Maintain and troubleshoot enterprise-class systems, networks, and virtualized environments. Document cloud and network architectures, procedures, and environment configurations. Collaborate with DevOps and Database teams to ensure reliable, secure, scalable systems. Participate in an on-call rotation and respond to system-related incidents. Operational Excellence Perform advanced network troubleshooting using industry-standard tools. Provide accurate time estimates for tasks and follow through to complete resolution. Communicate technical concepts clearly to non-technical stakeholders. Remain self-directed, detail-oriented, and proactive in identifying and resolving issues. Quickly learn new technologies through self-study and hands-on experimentation. Minimum Requirement: Degree or equivalent and typically requires 4+ years of relevant experience. Education: 4-year degree in computer science or 4+ years of related experience Critical Skills: 4+ years' experience building cloud solutions and supporting cloud applications 3+ years of experience in Azure focused role Azure Engineering: 3-4+ years building, maintaining, and securing Azure resources Azure Networking: Deep understanding of TCP/IP, routing, VPNs, firewalls, NSGs, peering, etc Virtual Machines: 3+ years administering Windows Server VMs (Linux experience a plus) Strong PowerShell skills Security Technologies: Experience with VPNs, firewalls, secure transfer tools (SFTP/GoAnywhere) Troubleshooting: Proficient with network/system diagnostic tools and methodologies Ability to travel up to 10% Additional Knowledge & Skills: Excellent communication (written and verbal) skills Experience with KQL (Kusto Query Language) Experience with Powershell and other scripting languages Experience with Palo Alto firewalls (preferred). Experience working in healthcare environments (plus). Ability to work effectively in team and cross-functional project settings. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $86,000 - $143,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Lead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systemsPreferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer 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 theCapital 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 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 Technology Site Reliability EngineerCooley is seeking a Senior Site Reliability Engineer to join the Infrastructure & Development Operationsteam.Position summary: The Senior Technology Site Reliability Engineer("SRE") is responsible for ensuring the reliability, scalability, and performance of the firm's critical infrastructure and applications. The SREblends software engineering with systems engineering to build and maintain automated, resilient, and observable systems that support high availability and operational excellence. In addition to being technically advanced, the SRE will have a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Monitor and maintain production systems to ensure high availability and performance Implement and manage service-level indicators (SLIs), objectives (SLO's), agreements (SLA's), and error budgets Participate in on-call rotations and incident response, including root cause analysis and postmortems Develop and maintain infrastructure as code (IaC) using Terraform Automate deployment, scaling, and recovery processes to reduce manual intervention Partner with DevOps to build and maintain CI/CD pipelines to support safe and efficient software delivery Implement observability solutions using metrics, logs, traces, and alerting systems (Prometheus, Grafana, DataDog, etc.) Proactively identify and resolve system bottlenecks and reliability risks Work closely with Infrastructure, DevOps, Development, and security teams to embed reliability into the development lifecycle Contribute to a culture of blameless post-mortems and continuous improvement Document operational procedures and share knowledge across teams All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 6+ years direct applicable experience (e.g. site reliability engineering or related field) Proficiency in Terraform and programming languages such as Python, Go, or Java Deep expertise in cloud platforms, particularly AWS, and container orchestration Strong background in distributed systems, performance tuning, and automation Hands-on experience with configuration management tools such as Puppet, Chef, or SaltPreferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Experience with IaC deployment of AKS/EKS/GKE architecture Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work independently and in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of business professionals, management, stakeholders, and vendors with the ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $140,000 - $205,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Sr. Distinguished Machine Learning EngineerOverview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, C/C++ Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talentBasic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical settingPreferred Qualifications: Master's Degree 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 3+ years of experience using Dask, RAPIDS, or in High Performance Computing 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software engineers with an inspiring leadership styleCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer 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 theCapital 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 One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Discription: Seeks an experienced Cloud Platform/DevOps consultant to augment the Cloud Platform Engineering team. The consultant will operate as an embedded engineer, supporting day-to-day sprint priorities and contributing to various cloud infrastructure, Kubernetes, CI/CD, security, and platform automation initiatives. This engagement is execution-focused, with an emphasis on GCP, AWS, Terraform, Kubernetes, GitOps workflows, DevSecOps, and automation-driven engineering. Engagement Model: The consultant will work as an integrated member of the Cloud Platform Engineering team, contributing to any active sprint priorities as assigned. Work may span platform improvements, operational support, incident response, engineering execution, and cross-team collaboration. Will set priorities on a weekly or sprint basis; the consultant must be able to pivot as needed and deliver high-quality, reliable engineering output. Potential Project Assignments The consultant may be asked to contribute to one or more of the following initiatives during the engagement: GCP Hosted Looker Network Setup (Prod Environment) Potential Deliverables: ? Production-ready GCP network configuration for Hosted Looker ? Terraform modules and GitOps-reviewed deployment artifacts GCP Security Audit Remediation (Project Secure) Potential Deliverables: ? Completed InfoSec remediation items ? Updated Terraform modules and documentation reflecting required controls FinOps Year-End Optimization & Cast.AI Expansion Potential Deliverables: ? AWS Account cleanup and suspension ? Identified GCP cost optimization opportunities (e.g. unused or orphaned resources, underutilized, etc ? Executed right-sizing/scale-down changes ? Cast.AI rollout updates for target clusters Credentials DB Migration (MongoDB ? Firestore) Potential Deliverables: ? Firestore infrastructure and IaC configurations ? Migration support artifacts, testing results, and documentation GKE Upgrades & Cluster Modernization Potential Deliverables: ? Validate GKE upgrade path, provide documentations, and support ? Updated charts, workloads, and platform components supporting upgrades General Cloud Platform Engineering Support Potential Deliverables: ? Participate in the Systems Support channel to assist engineers with issues related to cloud services, CI/CD, Artifactory, Terraform, Kubernetes, and platform tooling ? Identify opportunities to streamline support, reduce repetitive toil through automation, improve documentation, and enhance developer self-service ? Ensure that larger engineering asks are properly captured in Jira, triaged, and funneled into sprint planning instead of ad-hoc or chat-only support ? Troubleshoot deployment, build, and configuration issues in partnership with application teams ? Improve platform reliability, observability, and operational excellence via incremental changes We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About CoverMyMeds CoverMyMeds is a leading healthcare technology company dedicated to helping patients get the medications they need more easily and efficiently. Through innovative platforms and collaborative partnerships, we remove barriers in the prescription process, making healthcare simpler and more accessible for everyone. Application Support Engineer ) We're looking for an Application Support Engineer to support and enhance our on-premise and cloud applications, ensuring reliable delivery, performance, and availability across our platforms. Position Summary In this role, you'll lead technical efforts to maintain, improve, and troubleshoot application services while mentoring teammates and driving operational excellence. Key Responsibilities Serve as a team leader and mentor. Design strategies to improve application availability, performance, and overall system health. Diagnose and resolve complex application issues. Perform root-cause analysis and implement long-term fixes. Identify and resolve recurring incidents to reduce mean time to resolution. Support application deployments and DevOps workflows. Create and refine processes to meet SLO/SLA targets. Develop, maintain, and automate Disaster Recovery documentation. Manage application-related data tasks, including SQL queries, stored procedures, and jobs. Participate in a 24/7 on-call rotation. Provide documentation and evidence for annual audits. Minimum Requirements Must be authorized to work in the U.S. (no sponsorship available). Bachelor's degree or equivalent experience; typically 4+ years of relevant work experience. Critical Skills Able to work independently and exercise sound judgment. 4-7+ years with Windows Server administration. 4-7+ years supporting both fat-client and web applications on Windows Server with SQL Server backends. 3+ years supporting system integrations (web services/APIs on IIS). 3+ years with automated build/provisioning processes. Scripting experience (PowerShell, Python, etc.) for application or cloud automation. 2+ years writing T-SQL and updating stored procedures. Preferred Skills Strong written and verbal communication skills. Ability to analyze complex systems with high attention to detail. Experience with public cloud providers (Azure, AWS, or GCP). Virtualization experience (VMware, Citrix). Familiarity with IT monitoring ( Solarwinds , LogicMonitor ) and APM tools (Datadog, Dynatrace). Experience with DevOps tools (Jenkins, Git, Rundeck , Terraform). Inclusive, team-focused leadership mindset. Cloud certification strongly preferred. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $110,400 - $184,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS)As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You'll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You'll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering.What you'll do in the roleThe MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and deliver GenAI models and componentsthat solve complex business problems, while working in collaboration with the Product and Data Science teams. Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. Retrain, maintain, and monitor models in production. Construct optimized, scalable data pipelines to feed ML models. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Go, Scala or JavaBasic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, Go or Java At least 2 years of experience building, scaling, and optimizing ML systemsPreferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer 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 theCapital 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 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).