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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. Senior Machine Learning Ops Engineer Summary As a Senior Machine Learning Ops Engineer at McKesson, you will be instrumental in building, deploying, and maintaining robust and scalable machine learning systems. You will bridge the gap between data science and operations, ensuring our AI/ML models are seamlessly integrated into production environments, monitored effectively, and continuously optimized to deliver maximum business value. What You'll Do Design, develop, and implement end-to-end MLOps pipelines for the deployment, monitoring, and management of machine learning models in production. Collaborate closely with data scientists to understand model requirements, optimize model performance for production, and ensure efficient model handoffs. Build and maintain automated CI/CD pipelines for ML models, enabling rapid iteration and reliable deployment. Implement robust monitoring, logging, and alerting systems for ML models, tracking performance, data drift, and model decay. Develop and manage scalable infrastructure for ML model training and inference, leveraging cloud platforms (e.g., Azure, AWS, GCP). Ensure the security, reliability, and compliance of ML systems, adhering to industry best practices and McKesson's internal standards. Containerize ML applications and services using Docker and orchestrate deployments with Kubernetes. Evaluate and integrate new MLOps tools and technologies to improve efficiency and capabilities. Provide technical leadership and mentorship to junior engineers, fostering best practices in MLOps. Troubleshoot and resolve complex issues related to ML model deployment, performance, and infrastructure. What You Bring Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field. 5+ years of experience in software engineering, DevOps, or MLOps roles, with a strong focus on machine learning systems. Proficiency in at least one major programming language (e.g., Python, Java, Scala) with extensive experience in Python for ML workflows. Hands-on experience with MLOps platforms and tools (e.g., MLflow, Kubeflow, Sagemaker, Azure ML, Google AI Platform). Strong understanding of machine learning concepts, algorithms, and model lifecycle management. Experience with cloud platforms (Azure, AWS, or GCP) and their ML-related services. Azure experience is a plus. Proficiency with containerization technologies (Docker) and orchestration tools (Kubernetes). Solid understanding of CI/CD principles and experience with tools like Jenkins, GitLab CI, Azure DevOps, etc. Experience with data pipeline tools and technologies (e.g., Apache Spark, Kafka, Airflow). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Excellent problem-solving skills, with a focus on building scalable and resilient systems. Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams. Minimum Requirements Degree or equivalent and typically requires 7+ years of relevant 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 $155,600 - $259,300 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 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. communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Job title: Sr Data Engineer Current Need: The Senior Data Engineer will be part of McKesson Decision Intelligence team , and r esponsibilities include managing data exploration and analysis, requirements assessment, data source identification, exploratory research, and defining as well as maintaining data definitions, business rules, and lineage. Additional duties involve documentation, collaborating with Data Architects and Engineers on product design, data stewardship, metadata management, ensuring data quality, conducting different types of testing (functional, regression, exploratory), and preparing and executing test cases and plans. Key Responsibilities Support a cross-functional team and provide in-depth data insights for complex business problems that can be approached with advanced analytics Work closely with the other Data Engineers and Scientists to deliver results Citizen of PSAS BU data engineering team and enable the BU Driven Data Insights Coordinate and collaborate with program managers and other internal stakeholders including gathering requirements and modeling criteria Leverage tools and resources to plan, evaluate and execute strategic initiatives Strong delegation and management skills to ensure work is conducted in a timely , quality fashion by internal and external partners and multi-shore teams/resources. Continuously improve and optimize business processes and operations. Identifying , publicizing the tech debt across data landscape and championing addressal pursuits. Data Engineering and Analytics support Thinks in automation first, enterprise first and reusability mindset. Develops solution architectures and designs and helps build consensus among teams to champion the data solutions. Collaborates with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of Data technologies, tools and processes. Implements data governance practices in partnership with business stakeholders and peers, data governance office teams and solution teams to advocate for data literacy and data democratization across enterprise. Builds scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in the batch and real-time mode Analyzes, models structured data and implement/scale algorithms to support analysis using advanced statistical and mathematical methods from statistics, data mining, econometrics, and operations research, using distributed and parallel programming techniques. Must be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS), and Infrastructure as a Service (IaaS) Experience with automation to Infrastructure ( IaC - Infrastructure as Code) Troubleshooting, Monitoring and Performance Tuning of various software components of various data science analytical solutions, RESTful web services etc Understanding of large database mining tools and statistical languages utilized to efficiently build approaches and execute on analytical use cases. Specific experience with Snowflake, Databricks, Azure data factory, PySpark , Analytical SQL, Splunk , Alation , R, Python . Experience with SAP and IBM DataStage is also extremely beneficial. Working Experience with SAP Systems such as SAP ECC, SAP BW/HANA, MDM, BPC and SAC Recommended. Functional Knowledge of SAP FI/CO, Pricing and Master Data is desirable Communicate results and educate others through reports and presentations. Minimum Job Qualifications (Knowledge, Skills, & Abilities) : Education/Training - Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, or a related field. 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role. Proficiency in SQL, Python, R, or similar analytical tools. Experience with data visualization platforms such as Power BI, Tableau, or Looker. Strong understanding of statistical analysis, predictive modeling, and data mining techniques. Experience with analytical tools such as Databricks & Snowflake Excellent communication and stakeholder management skills. Ability to manage multiple projects and priorities in a fast-paced environment. Specialized Knowledge/Skills - Leadership Skills: Exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation. This position operates under consultative direction towards broad corporate goals, requiring a high degree of initiative and independence in achieving project outcomes. Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-term objectives . Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges. Working Conditions: Environment (Office, warehouse, etc.) - Traditional office environmen t . 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 $129,000 - $215,000 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 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!

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. Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of scalable data engineering and analytics solutions across the PSaS Business Unit. This role serves as a technical leader and player-coach, combining deep hands-on engineering with solution leadership, mentorship, and cross-functional influence. What You'll Do Lead end-to-end technical delivery for complex data engineering initiatives or domains. Serve as a senior technical point of contact for data engineering within cross-functional squads. Design and build scalable, reliable batch and real-time data pipelines across internal and external systems. Lead solution design and influence architectural decisions in collaboration with Data Architects and enterprise teams. Define and uphold engineering standards, patterns, and best practices aligned with enterprise data strategy. Mentor and guide data engineers through design reviews, code reviews, and technical coaching. Ensure quality, reliability, performance, and long-term maintainability of data products. Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate analytical requirements into scalable solutions. Drive an automation-first and reusability-focused mindset across data engineering solutions. Oversee testing strategies, production readiness, observability, and operational stability of data pipelines. Proactively identify technical debt and lead remediation efforts. Enable advanced analytics and ML use cases through optimized data models and pipelines. Communicate technical designs, tradeoffs, risks, and outcomes clearly to stakeholders. What You Bring Recognized expertise in data engineering and analytics within large, enterprise environments. Strong ability to independently lead complex technical initiatives with minimal oversight. Proven experience influencing technical direction and mentoring other engineers without formal people-management responsibility. Deep understanding of data architecture, ETL/ELT patterns, and large-scale data processing. Strong stakeholder communication and collaboration skills. Technical Skills Advanced proficiency in SQL, Python, and scripting. Strong hands-on experience with: Databricks, Snowflake, Azure Data Factory Confluent Kafka / Azure Event Hub PySpark and analytical SQL Power BI and/or Tableau Apache Airflow, dbt, Alation Strong understanding of data modeling, metadata, lineage, and data quality practices. Experience with cloud platforms (SaaS, PaaS, IaaS). Experience implementing automation and Infrastructure as Code (IaC). Ability to support advanced analytics and ML enablement (non-pure DS focus). Minimum Requirements Degree or equivalent and typically requires 10+ years of relevant experience. Preferable Skills & Experience Experience leading enterprise-scale or BU-wide data initiatives. Exposure to real-time, event-driven data architectures. Familiarity with data governance programs and stewardship responsibilities. Experience experimenting with emerging data and AI technologies. Background in highly regulated or complex business environments. 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 $142,700 - $237,900 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 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!

Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity. We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety HMO and PPO options. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture! NeoGenomics is looking for a Senior Systems Engineer who wants to learn to continue to learn in order to allow our company to grow. This is a hybrid position in Aliso Viejo, CA with a Monday - Friday, day shift. Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics: As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory. Position Summary: As a Sr. Systems Engineer you will lead infrastructure performance for NeoGenomics' on-premise high-performance computing (HPC) and scientific storage environments and optimizes the edge-to-core data lifecycle to ensure massive volumes of Whole Slide Imaging (WSI) and NGS data flow seamlessly from laboratory instruments to compute resources and long-term storage. You will fine-tunes network throughput, storage latency, and compute job scheduling to ensure the physical laboratory infrastructure functions as a high-velocity launchpad for downstream AI analysis and hybrid cloud processing. Responsibilities: Designs, deploys, and maintains on-premise high-performance computing clusters and scientific storage solutions (e.g., high-throughput NAS, object storage) tuned for large-scale biomedical data Optimizes the write path for critical lab instruments (digital pathology scanners, NGS sequencers), ensuring network and storage configurations prevent data bottlenecks during high-volume acquisition Architects automated data lifecycle policies to move data efficiently between hot local processing tiers, warm on-premise retention, and cold cloud archival, balancing performance with cost Designs and maintains secure, high-bandwidth connectivity (e.g., Direct Connect, ExpressRoute) between on-premise infrastructure and cloud environments (Azure, AWS), partnering with Cloud DevOps teams to enable seamless hybrid workflows Monitors and tunes file system performance (I/O profiling), network latency, and job scheduler configurations to meet strict Service Level Agreements (SLAs) for lab turnaround times Leads technical evaluation, specification, and procurement of specialized compute hardware (GPU nodes for inference) and storage arrays to support growing data volumes Implements robust local backup and disaster recovery strategies for raw instrument data to ensure data integrity and business continuity prior to cloud replication Partners with Lab Operations and Engineering teams to troubleshoot complex hardware-software interaction issues at the instrument level Ensures all on-premise scientific infrastructure adheres to strict security standards (encryption at rest and in transit) and regulatory requirements (HIPAA, GxP) Education, Experience & Qualifications: Bachelor's degree in Computer Engineering, Electrical Engineering, or equivalent work experience required 12 or more years of experience in systems engineering with a strong focus on Linux administration and high-performance computing (HPC) environments required Manages petabyte-scale storage systems (NAS, SAN, Object Storage) and parallel file systems (e.g., Lustre, GPFS, Isilon, NetApp) in research or clinical settings Applies deep expertise in networking optimization for data-intensive workloads (10GbE/40GbE/100GbE, RDMA, TCP/IP tuning) Designs hybrid infrastructure connecting on-premise data centers to public cloud providers (Azure, AWS) Supports biomedical instrumentation, imaging pipelines, or genomics workflows Demonstrates infrastructure mastery with expert-level knowledge of Linux kernel tuning, storage I/O subsystems, and hardware architecture (CPU/GPU/RAM interactions) Automates system administration and data movement tasks using Python, Bash, or similar scripting languages Configures and manages job schedulers and workload managers (e.g., Slurm, LSF, Grid Engine) for efficient resource allocation Applies strong network engineering skills including switching, routing, and firewall configuration for high-throughput scientific data flows Uses a rigorous problem-solving approach to troubleshoot complex hardware and software bottlenecks in distributed systems Yes PI4e1d9c43b5f3-0781

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!

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. The Enterprise Architect Lead, Digital Solutions is an individual contributor responsible for shaping and supporting the enterprise digital architecture that enables scalable, secure, and innovative digital solutions for US Oncology Practices. This role partners closely with senior leaders, business stakeholders, clinical teams, and technology teams to translate Practice strategy into well-defined architectural designs and roadmaps. Key Role Success Metrics : Unified enterprise architecture blueprint defined and maintained. Multi-year digital roadmap developed and contributed to, with updates as needed. Architecture governance consistently applied and reinforced across teams. Modernization and interoperability improvements delivered through aligned initiatives. Key Responsibilities : Define and evolve enterprise digital architecture vision, principles, and roadmaps within established strategic direction. Provide architectural leadership for major digital initiatives and platforms. Advise senior leaders and stakeholders on technology tradeoffs, risks, and architectural impacts. Ensure digital solutions are secure, scalable, interoperable, and compliant with enterprise and regulatory standards. Establish and maintain reference architectures, patterns, and governance artifacts. Mentor architects and technical team members through design guidance and best practices. Role Characteristics : Broad cross-domain scope with strong technical influence. Operates effectively in complex problem spaces with evolving requirements. Combines deep technical expertise with business understanding. Recognized subject-matter expert contributing to cross-domain design decisions. Minimum Qualifications : Degree or equivalent and typically requires 10+ years of relevant experience. Less years required if has relevant Master's or Doctorate qualifications. Critical Experience/Skills : 10+ years in enterprise architecture or engineering leadership roles. Expertise in cloud modernization, multi-tenant platforms, and large-scale system design. Strong integration architecture background with APIs and interoperability standards. Experience with data platforms, semantic layers, analytics, and governed access models. Experience applying AI/ML to enterprise digital solutions and cloud-native AI services. Preferred Experience/Skills : Experience in oncology, clinical operations, or life sciences. Certifications: TOGAF, AWS/Azure Architect. Familiarity with clinical systems and oncology digital workflows preferred. Travel : Up to 25% travel required. 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 $150,500 - $250,800 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!

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 Summary The Senior Software Development Manager leads multiple engineering teams responsible for delivering reliable, modern data platform and reporting solutions. The role balances people leadership, technical judgment, and delivery accountability while partnering closely with Product, Architecture, and customer-facing functions. The organization is entering a new era of data-driven engineering, where modern architectures, AI-powered insights, and scalable data platforms shape every product and operational decision. As part of this role, the Software Development Manager, will lead teams that are building the foundation of this transformation, driving the evolution from traditional reporting and siloed systems to a unified, intelligent analytics ecosystem centered on Databricks Lakehouse, Looker semantic models, and next-generation data products. This role is ideal for leaders and builders who want to drive transformation, deliver impact, and shape a next-generation analytics platform that empowers every decision across the organization. Key Responsibilities Development Manager During standups, help Scrum team in identifying roadblocks and immediately coordinate removal (stakeholders, tools, process). Schedule ad hoc working sessions when deeper discussion is needed to unblock delivery. For design/architecture reviews: first analyze and propose options; then partner with the Architect to finalize solutions. Align with the Product Manager on the agreed solution and review the scope along with acceptance criteria and dependencies. Pre-refinement: meet with Product to confirm the next slice of work and recommend developer assignment. Attend and participate in Refinement; ensure readiness for the next sprint(s). Attend Triads (e.g., Product-Design-Engineering) to anticipate challenges and coordinate early mitigation. Proactively identify issues; assist with cross-team communications and external coordination. Schedule meetings with requesters or Customer-facing teams (e.g., SAM, RNA, Support, OPS, EDI) when requirements are unclear. Work as Release Manager and manage Production deployment 3 to 4 times a year. Monitor the Global Escalations and respond promptly: If immediate action is needed, assign a developer and reprioritize their workload. Communicate ETA/updates back to the Escalations group. Field inbound requests from internal and Customer-facing teams; triage before assigning. Maintain focused group chats to accelerate issue resolution and information sharing. Attend every meeting developers have with their case requesters, document notes and decisions. Act as gatekeeper for new Reporting requests/features/enhancements: Gather requirements and clarify scope before engaging the team. Perform basic analysis on reported issues before handing off to developers to minimize churn. Track throughput and trends via the Salesforce Reporting Dashboard; use data to drive prioritization and bandwidth allocation. Ways of Working & Team Culture Promote and protect a high-trust, collaborative culture. Encourage collective problem-solving. Provide feedback respectfully in 1:1 setting on a regular basis. Help to get team members ready for the next step in their career. Respect team members and peers Expect fast-moving, evolving tickets which involves re-prioritization and balancing act for the team and getting work delivered timely. Advocate for Product Management support to clarify business context. Minimum Requirement Degree or equivalent experience. Typically requires 9+ years of professional experience and 1+ years of supervisory and/or management experience. Critical Skills 9+ years in software engineering with 1+ years in people management across cross-functional delivery. Proven success as a Development Manager in Agile/Kanban environments. Strong experience coordinating with Product, Architecture, DBA, and Customer-facing teams. Demonstrated ability to triage escalations, manage release cycles, and maintain clear stakeholder communications. Hands-on familiarity with data platforms withSnowflake, Databricks, Azure Synapse, and BI/reporting ecosystems such as SSRS, PBIRS, Power BI. Solid grasp of Jira, Salesforce Service Cloud workflows. Excellent requirements analysis, prioritization, and risk/impediment management skills. Empathetic, servant leader: protects team focus, delivers candid feedback privately, and creates conditions for high performance. Nice-to-Have Healthcare or 340B program domain familiarity. Certifications: CSM/PSM, SAFe, PMP, Azure (Data/Architect), Power BI. Experience building operational dashboards and instrumentation for throughput/quality. Tools & Stack Project/Support: Jira (Scrum/Kanban, Fix Versions), Salesforce (Cases, Dashboards), MS Teams Data/Compute:Databricks, Snowflake, Azure Synapse BI/Reporting: SSRS, PBIRS, Power BI + Gateway Languages/DB: SQL, C#, exposure to modern data pipelines preferred Candidates must be authorized to work in USA. Sponsorship is not available for this role. Work Environment Hybrid in Atlanta, GA Occasional travel ( 10%) for team or stakeholder workshops as needed. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. 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 $121,400 - $202,400 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. McKesson's Macro Helix division has an opportunity for a Senior Associate Software Engineer. In this role, you will need to develop and maintain state of the art solutions using latest technology. Role Overview Responsible for the software applications development function including analysis, design, programming, debugging, and modification of computer programs for commercial or end user applications or products. Will also have responsibility for testing and documentation. Analyzes and investigates applications engineering tasks and prepares design specifications, analysis, and recommendations. Ensures that system improvements are successfully implemented and monitored to increase efficiency. Creates systems software engineering policies, standards and procedures. Demonstrates competence in own area, and has mastered most of the basic job functions. May still be acquiring higher skill level, and gaining exposure to more complex tasks within job function. Typically works with moderate guidance in area of knowledge. Includes those who have completed formal training programs. Full use and application of standard principles, theories, concepts, and techniques. Still developing skills and knowledge necessary at career level. Provides resolutions to an assortment of problems of moderately complex scope. Uses judgment within defined practices and procedures. Handles projects which have short term focus. Works under normal supervision. Incumbents still occasionally directed on several aspects of their work. Follows established directions. Work is reviewed for accuracy and overall adequacy Key Responsibilities Analyze existing software and develop secure solution Develop, test, implement, maintain applications Work closely with QA and Product Owners throughout development cycle Actively participate in Agile Ceremonies: Daily Stand-ups/ Sprint Planning/ Refinements / Retrospective/ Demos Give presentations of work done to product owners and stakeholders Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Prepare and deploy solutions by determining and designing system specifications, standards and programming Updates knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment Work independently or collaborate with the team Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4+ year degree in computer science or related field Critical Skills 2+ years of experience in web and software development 2+ years of full cycle software development using Visual Studios 2012 or higher Language Proficiency: 2+ years of experience with C#, JavaScript, SQL and HTML Database Proficiency: 2+ years of experience with SQL Server 2012 or higher Other Technical Experience: 2+ years of experience working with ASP.NET, Angular JS, Material Design, CSS Proficiency in functional programming/API development and management Source code management with GitHub and Bitbucket Additional Knowledge & Skills Agile Methodology Excellent written and verbal communication skills PaaS Development with Azure Cloud Candidates must be authorized to work in USA. Sponsorship is not available for this role. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work-from-home model. If located in DFW area, the selected candidate may be expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated according to team needs and business priorities. 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 $84,000 - $140,000 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 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!

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. Job Title: Senior/Lead Data Scientist Current Need: The ideal candidate will reside in either Irving, TX or Toronto, Canada. The Lead Data Scientist is responsible for driving the full lifecycle of advanced analytics and machine learning solutions-from problem framing and hypothesis design to production deployment and continuous monitoring-delivering measurable business outcomes for McKesson's businesses. This role partners with business stakeholders to translate requirements into technical solutions, ensures robust model governance and performance benchmarking, and pioneers innovative analytical approaches that improve operational efficiency and market competitiveness. The Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP where appropriate. In addition, the role works closely with product, engineering, and business teams, champions McKesson's enterprise model development standards, and upholds the company's ILEAD leadership principles. Key Responsibilities Identify opportunities for leveraging company data to drive innovative and scalable machine learning solutions that address complex business challenges. Develop and implement strategies that enhance operational efficiency, automate decision-making, improve customer outcomes, and optimize resource allocation. Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, recommendation systems, anomaly detection, and NLP/LLM. Develop custom machine learning models and algorithms tailored to business needs. Apply these models to large datasets to generate actionable insights and support strategic decision-making Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments. Ensure scalability, reliability, and compliance with enterprise standards Build and maintain scalable data infrastructure to support both real-time and batch decisioning. Leverage cloud-native tools and platforms to optimize performance and cost Engage with business stakeholders to translate requirements into technical solutions. Provide thought leadership and guidance on analytical approaches and data strategy Ensure model governance, documentation, and performance benchmarking. Maintain compliance with Responsible AI and data privacy standards Build and maintain scalable data systems and infrastructure that empower our business teams to make better decisions Minimum Job Qualifications (Knowledge, Skills, & Abilities): Education/Training - Bachelors in math, statistics, engineering, or another STEM field or equivalent experience and typically requires 10+ years of relevant experience. Less years required if has relevant Master's or Doctorate qualifications. Business Experience - 10+ years of hands-on data science experience delivering models to production with measurable business impact; 4+ years leading projects or small teams as a tech lead. Experience in at least two or more relevant domain (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience). Proven track record working in cross-functional product/engineering environments. Specialized Knowledge/Skills - Supervised/unsupervised learning, time-series, causal methods/experimentation, optimization; familiarity with LLMs/NLP and retrieval-augmented workflows preferred. Expert in Python and SQL; proficiency with PySpark; experience with Azure ML, MLflow, model registries, monitoring/telemetry (e.g., Evidently) and CI/CD. Git, testing, packaging, pipelines; containerization; performance/cost tuning in cloud; observability and on-call patterns for ML services. Feature engineering, working knowledge of healthcare/commercial data sets. Demonstrated adherence to enterprise cybersecurity standards and secure development lifecycle for data/ML. Executive storytelling; ability to translate technical results into decisions and outcomes. 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 $158,000 - $263,300 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 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. 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!

INFRASTRUCTURE ARCHITECT - AWS DIRECT HIRE ATLANTA, GA (Hybrid) USC/GC - NO SPONSORSHIP PROVIDED Job Summary The Infrastructure Architect will lead the strategic design and implementation of enterprise-grade cloud infrastructure solutions on AWS. This senior role architects scalable, secure, and highly available infrastructure supporting multi-tenant SaaS applications, comprehensive monitoring systems, and mission-critical operations. The position requires deep AWS expertise, multi-tenant architecture proficiency, and ability to integrate AWS Marketplace and third-party solutions while delivering robust, cost-effective infrastructure at scale. Essential Duties and Responsibilities Define infrastructure architecture strategy and roadmap aligned with business objectives Design scalable, secure AWS infrastructure following Well-Architected Framework and SaaS Lens principles Architect multi-tenant SaaS infrastructure with tenant isolation, resource segregation, and automated provisioning Develop production-grade Infrastructure as Code using Terraform, AWS CDK, and CloudFormation Create reusable, modular infrastructure components and tenant-aware templates Design CI/CD pipelines using GitLab CI/CD for infrastructure deployment with automated testing and security scanning Implement deployment strategies (blue-green, canary, rolling) for infrastructure and containerized workloads (ECS/EKS) Design enterprise monitoring and observability using Nagios, CloudWatch, Prometheus, and Grafana Establish tenant-aware monitoring with APM, distributed tracing (X-Ray), log aggregation, and intelligent alerting Architect solutions leveraging AWS Marketplace products for monitoring, security, and infrastructure management Establish secure integration patterns with third-party SaaS platforms (OAuth, SAML, API gateways) Design tenant isolation strategies across compute, storage, network, and database layers Implement metering, usage tracking, and cost allocation systems for multi-tenant environments Establish tenant tiering (free/standard/premium) with resource quotas, SLAs, and performance isolation Establish infrastructure standards, governance frameworks, and policy-as-code (Config, SCPs, OPA) Design disaster recovery, backup strategies, and business continuity procedures Design multi-account strategies using AWS Organizations, Control Tower, and Landing Zone Lead technical architecture reviews and recommend optimal AWS infrastructure solutions Mentor engineering teams on AWS best practices, infrastructure patterns, and DevOps practices Lead incident response, post-mortems, and continuous improvement initiatives Document architectural decisions, infrastructure designs, and operational procedures Work effectively across global teams and different time zones QUALIFICATIONS AND BACKGROUND Education Required: Bachelor's degree in Computer Science or Information Systems Preferred: Master's degree in Computer Science or Information Systems Certifications Required: AWS Certified DevOps Engineer Professional Experience Required: 10+ years in infrastructure architecture and cloud engineering Extensive hands-on AWS infrastructure expertise across core services Deep expertise with Terraform, AWS CDK, and CloudFormation Templates (CFT) Proven track record architecting production-grade AWS infrastructure for enterprise environments Expert-level infrastructure CI/CD pipeline design using GitLab CI/CD Strong proficiency in SaaS infrastructure and multi-tenant design principles Experience architecting large-scale infrastructure for multi-tenant SaaS platforms Proven success integrating AWS Marketplace products and third-party SaaS platforms Experience with enterprise monitoring and observability platforms including Nagios Preferred: Experience building/operating SaaS infrastructure at scale Multi-cloud experience (Azure, GCP) AWS SaaS Factory program participation AWS Marketplace seller/ISV experience Advanced FinOps and infrastructure cost optimization expertise Skills: AWS Cloud Infrastructure (Expert Level): Compute: EC2, ECS/Fargate, EKS, Lambda, Auto Scaling, Batch Storage: S3, EBS, EFS, FSx, Storage Gateway, Backup Database: RDS, Aurora, DynamoDB, Redshift, ElastiCache, DocumentDB Networking: VPC, Route 53, CloudFront, API Gateway, Direct Connect, Transit Gateway, PrivateLink VPN Security: IAM, KMS, Secrets Manager, Cognito, GuardDuty, Security Hub, WAF, Shield, Macie Management: CloudWatch, CloudTrail, Systems Manager, Config, Control Tower, Organizations, Service Catalog Infrastructure as Code Terraform (advanced modules, state management, workspaces, complex architectures) AWS CDK (TypeScript/Python with constructs, patterns, custom resources) CloudFormation (nested stacks, StackSets, custom resources, drift detection) Policy-as-code (AWS Config Rules, Service Control Policies, OPA) Git version control with GitFlow and trunk-based development SaaS & Multi-Tenant Infrastructure: Tenant isolation patterns (VPC isolation, account-level, database-level, row-level security) Identity & access manage

Job Duties: Design and build a data warehouse using computingbased data cloud (Snowflake) for machine learning, data analysis, self-serve analytics and reporting needs. Develop Extract, Transform, Load (ETL) pipelines to orchestrate execution of scripts, automate data transformation and loading data into data warehouses. Perform data cleansing, validation, testing and schema design to ensure accuracy and reliability of data insights. Manage and build automated workflows and monitor these pipelines and DAGs (Directed Acyclic Graphs). Identify and work on improvements by automating manual processes to optimize data delivery, re-design infrastructure for more scalability using python & sql. Collaborate with cross-functional teams including data engineers, analysts and data scientists to understand the business logic and needs to create an effective and efficient pipeline and data model. Create ad-hoc report/data visualizations based on user requirements. Participate in ETL flow design reviews and recommend solutions to improve processes. Perform data quality checks and alerting to identify issues and resolve bugs in a timely manner. Participate in source code and design reviews in a software development lifecycle (SDLC) driven environment using technical, functional, and domain knowledge. Identify issues or gaps and suggest improvements to the team processes. Provide support for customer requests for all the products handled by the team. Full-time telecommuting is an option. Minimum Requirements: Masters degree (or its foreign degree equivalent) in Analytics, Data Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field. Special Skill Requirements: 1. Data warehouse design and dimensional modeling 2. Extract, Transform, Load (ETL) 3. SQL 4. Python 5. Data Visualization (Tableau or Power BI) 6. Gitlab 7. Azure 8. PySpark 9. OLAP and OLTP system experience (MySQL Database, Postgres DB, or Snowflake) 10. Machine Learning 11. Data Pipeline - Performance & Scalability Techniques. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. Salary: $177,813.00 - $195,594.00 per annum. Submit resume with references to: Req.# 53.2 at: ATTN: HR,

Role: Senior Software DeveloperBill Rate: $75/hour C2CLocation: Frisco, TXDuration: 12+ months/ long-term Interview Criteria: Telephonic + ZoomDirect Client Requirement Senior Software DeveloperWhat you will do: Lead the design, development, and implementation of software applications to support Fiserv's business goals. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Perform coding, testing, and debugging of applications to ensure optimal performance and reliability. Maintain and improve existing codebases and lead peer review processes ensuring adherence to coding standards. Mentor junior developers and provide technical guidance to enhance team capabilities. What you will need to have: 10+ years of software development experience in Java, Spring Boot, Spring Security, Spring Batch, Spring Microservices. 4+ years of experience in SQL Server with expertise in writing stored procedures. 3+ years of experience in Pivotal Cloud Foundry (PCF), AWS, Azure. 3+ years of experience developing and designing in Microsoft Azure Cloud. Bachelor's degree in Computer Science, Software Engineering, or related field and/or equivalent military experience. What would be great to have: Experience in Splunk, REST APIs, Front-end frameworks (Angular or React 3+ years of experience with CI/CD pipelines and DevOps practices. 3+ years of experience with Agile methodologies and tools (e.g., Jira, Confluence Experience in the financial services industry. Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible Srinivasa Reddy Kandi Client Delivery Manager Valiant Technologies LLC Equal Opportunity Employer: 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 based on 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

Job Title: Business Analyst Senior Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 293895 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan . These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. Department Information The Georgia Tech Professional Education (GTPE) Academic Program department's portfolio consists of 16+ diverse academic programs, supported by a team of 25+ staff members, serving a population of more than 8,000+ students. The Business Analyst role conducts discovery for, defines requirements, prioritizes, and routes development work to the appropriate technical support teams on behalf of Academic Programs (AP.) Technical support teams include the Salesforce CRM Services team, Digital Strategy team, Accenture consulting partners, and the Office of Graduate Education Slate team. The BA may also handle some tasks independently using declarative (no- or low-code) tools. Following development, the BA manages UAT, as well as adoption and enablement hand off back to the functional users. Functional users include a diverse group, ranging from department leadership, program managers, advisors, students, digital communications specialists, events managers, and more. Technical systems and tools frequently utilized by the AP BA include: Salesforce CRM, Marketing Cloud, Slate, ClickUp, ITBM, Copado, Azure, Miro, Microsoft 365 suite Knowledge and understanding of the following tools and systems would also be beneficial: Ellucian Banner, Drupal, Litmus, Formstack, Qualtrics, Zoom AP s primary use for Salesforce CRM relates to student support and engagement. This includes case management, events management, and segmented email communication through Marketing Cloud. Additionally, over the past 4 years there has been rapid development and release of numerous custom solutions that include custom apps, expanding integrations, various flows, extensive reports and dashboards, and an experience cloud site that supports student success. AP is currently pursuing development of a Knowledge base and adoption of Einstein AI (Agentforce) features. This is an opportunity to dive into the deep end on what is possible with Salesforce in the Higher Ed environment and serve as a vital member of a dynamic team. Job Summary Provide liaison services between functional user and technical systems groups in the development or modification of typically complex information systems. Lead in definition of user business requirements and assure they are appropriately addressed in application implementation. Redefine business processes to maximize application usage as required. This position will interact on a consistent basis with: assigned user group management and staff, technical project management and staff. This position typically will advise and counsel: assigned user group management and staff, technical project management and staff. This position will supervise: NA (may provide work guidance). Responsibilities Job Duty 1 - Document and analyze more complex user business processes and requirements; identify solutions including modification of business process Job Duty 2 - Develop specifications and test plans associated with system development or modification Job Duty 3 - Advise and support technical group in systems development Job Duty 4 - Lead testing of new or modified systems Job Duty 5 - Provide communications link between user and technical group Job Duty 6 - Prepare reports and other documentation related to system assignments Job Duty 7 - Provide ongoing user support including troubleshooting and resolution of more complex system issues Job Duty 8 - Perform other duties as assigned Required Qualifications Educational Requirements Bachelor's Degree in Accounting, Business or IT related field or equivalent combination of education and experience Required Experience Eight to ten years of job related experience Preferred Qualifications Preferred Certifications Salesforce Certified Business Analyst Salesforce Platform App Builder Salesforce Marketing Cloud Email Specialist Salesforce Certified Administrator Demonstrated Salesforce Trailhead knowledge/ranking Preferred Skills Requirements Analysis: Strong skills in needs analysis and eliciting requirements from both technical and non-technical teams. If you can cut through conflicting requirements and prioritize what is needed, this is the job for you! Problem-Solving: Exceptional problem-solving skills with a strong comfort level working in Salesforce. While you don't need to know all the answers, you must have the curiosity to find them. Project Management: Experience with project management tasks, including requirements writing and review, flow and process diagramming, and wireframing. Salesforce Technical Knowledge: Understanding of Salesforce skills, including AppExchange, data management, reports and dashboards, and Marketing Cloud or other similar CRM systems. Knowledge, Skills, & Abilities SKILLS This job requires an advanced knowledge of various documentation processes, business system architecture and associated technologies; advanced skills in data organization and analysis, problem solving, systems documentation and report writing as applied within assigned system(s); skills in functional leadership and cross communication between functional user and technical groups; ability to manage work on multiple projects with competing priorities; strong verbal, written and interpersonal skills with the ability to tailor communication to different audiences; effective analytical and presentation skills; excellent organizational, time management skills, and professionalism; self-motivated and able to work independently. USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students . click apply for full job details