Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Senior DevSecOp s Engineer to support our Air Proprietary 2 Mission Systems team l o cated in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. The Mission Systems Senior DevSecOps Engineer will be responsible for establishing , configuring , and maintaining the Mission Systems (MS) software development environmen t s across a varie t y of security levels . This role serves as the primary DevSecOps point of contact for Mission Systems and will coordinate closely with the Digital Engineering Environment team. Position Responsibilities: Leads the development and management of the software development environment roadmap and vision Leads the deployment and configuration of technologies and tools used in software development, including build servers, version control systems, CI/CD pipelines and automated testing frameworks Leads the establishment, configuration, and maintenance of MS software development environments across multiple networks - which includes any tools required for developing, building, and releasing software Leads the management and maintenance of cloud-based and on premises infrastructures Leads the creation and maintenance of Infrastructure as Code ( IaC ) and automation to simplify infrastructure administration and software deployment Establishes and maintains development and production environments Ensure compliance and policy enforcement for applicable design practices and industry standards Leads the creation of best practices/methodologies for provisioning, platform scaling, configuration management, monitoring and troubleshooting Leads software development tool administration, maintenance, version upgrades, patch management, and integration between the tools (Jira, Gitlab, Artifactory, Confluence, SonarQube, etc ) Mentors and advises junior teammates and development teams on best practices in DevSecOps , providing technical leadership and fostering a culture of knowledge sharing and continuous learning Coordinate across the Mission Systems solution team, the Digital Engineering Environment team and the Boeing Software Factory Enterprise team. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of experience with C, C++, C#, Java, or Python 6 + years of experience in software architecture, with a focus on cloud-based solutions and DevOps practices 5 + years of experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations 3 + years of experience understanding of CI/CD tools (e.g., Gitlab, Jenkins) and practices, automation frameworks, and infrastructure as code ( IaC ) 3+ years of experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 7+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Experience with cloud platforms Experience with Agile software development and related processes Knowledge of industry standards and best practices in the area DevSecOps Knowledge of cybersecurity policies and regulations, ability to work across these areas to formulate solutions Experience with secure software development environments at various levels of security Experience with Linux Ability to obtain Security+ certification Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations . Summary pay range for Senior Level (Level 4): $ 136 ,850 - $ 185,150 Applications for this position will be accepted until May. 13, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/30/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Senior DevSecOp s Engineer to support our Air Proprietary 2 Mission Systems team l o cated in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. The Mission Systems Senior DevSecOps Engineer will be responsible for establishing , configuring , and maintaining the Mission Systems (MS) software development environmen t s across a varie t y of security levels . This role serves as the primary DevSecOps point of contact for Mission Systems and will coordinate closely with the Digital Engineering Environment team. Position Responsibilities: Leads the development and management of the software development environment roadmap and vision Leads the deployment and configuration of technologies and tools used in software development, including build servers, version control systems, CI/CD pipelines and automated testing frameworks Leads the establishment, configuration, and maintenance of MS software development environments across multiple networks - which includes any tools required for developing, building, and releasing software Leads the management and maintenance of cloud-based and on premises infrastructures Leads the creation and maintenance of Infrastructure as Code ( IaC ) and automation to simplify infrastructure administration and software deployment Establishes and maintains development and production environments Ensure compliance and policy enforcement for applicable design practices and industry standards Leads the creation of best practices/methodologies for provisioning, platform scaling, configuration management, monitoring and troubleshooting Leads software development tool administration, maintenance, version upgrades, patch management, and integration between the tools (Jira, Gitlab, Artifactory, Confluence, SonarQube, etc ) Mentors and advises junior teammates and development teams on best practices in DevSecOps , providing technical leadership and fostering a culture of knowledge sharing and continuous learning Coordinate across the Mission Systems solution team, the Digital Engineering Environment team and the Boeing Software Factory Enterprise team. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of experience with C, C++, C#, Java, or Python 6 + years of experience in software architecture, with a focus on cloud-based solutions and DevOps practices 5 + years of experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations 3 + years of experience understanding of CI/CD tools (e.g., Gitlab, Jenkins) and practices, automation frameworks, and infrastructure as code ( IaC ) 3+ years of experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 7+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Experience with cloud platforms Experience with Agile software development and related processes Knowledge of industry standards and best practices in the area DevSecOps Knowledge of cybersecurity policies and regulations, ability to work across these areas to formulate solutions Experience with secure software development environments at various levels of security Experience with Linux Ability to obtain Security+ certification Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations . Summary pay range for Senior Level (Level 4): $ 136 ,850 - $ 185,150 Applications for this position will be accepted until May. 13, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Bitsoft International, Inc
King Of Prussia, Pennsylvania
Job Title: AI Engineer Generative AI / AWS Bedrock Engineer Location: 100% Remote (EST required and Client Location: King of Prussia, PA 19406) Duration: 6 12 Month Contract-to-Hire Opportunity with the potential for full-time conversion Rate: $Market/Hour They would ideally like to convert the candidate to full-time eventually, but they are still open to considering strong H1B candidates as well. Job Description: We are seeking a skilled AI Engineer with strong hands-on experience in Generative AI solutions using AWS Bedrock. The ideal candidate will have 3 4 years of practical experience designing, developing, and deploying GenAI applications leveraging foundation models, LLM integrations, prompt engineering, and AI-powered workflows in AWS environments. This role requires real-world implementation experience with AWS Bedrock not just theoretical exposure. Candidates should be able to demonstrate production-level work involving Bedrock services, model integration, orchestration, and scalable AI application development. The engineer will collaborate with cross-functional teams to build intelligent automation solutions, conversational AI systems, enterprise copilots, document intelligence platforms, and AI-driven business applications. Key Responsibilities: Design and develop Generative AI applications using AWS Bedrock Integrate foundation models and LLMs into enterprise applications Build scalable AI workflows, RAG pipelines, and intelligent assistants Implement prompt engineering and model optimization strategies Develop APIs and backend services for AI-driven applications Work with vector databases, embeddings, and semantic search solutions Collaborate with cloud, DevOps, and data engineering teams Deploy and monitor AI solutions in AWS environments Ensure security, scalability, and performance optimization for GenAI systems Required Skills: 3 4 years of hands-on experience in Generative AI engineering Strong real-world experience with AWS Bedrock (mandatory) Experience integrating LLMs and foundation models Python programming expertise Experience with LangChain, RAG architecture, embeddings, and vector databases Strong AWS cloud experience REST API and microservices development experience Knowledge of prompt engineering and AI orchestration frameworks Experience with scalable cloud-native architecture Preferred Skills: Experience with Amazon Titan, Claude, Llama, or other Bedrock-supported models Knowledge of AI governance and responsible AI practices Experience with Kubernetes, Docker, and CI/CD pipelines Exposure to MLOps workflows
04/30/2026
Job Title: AI Engineer Generative AI / AWS Bedrock Engineer Location: 100% Remote (EST required and Client Location: King of Prussia, PA 19406) Duration: 6 12 Month Contract-to-Hire Opportunity with the potential for full-time conversion Rate: $Market/Hour They would ideally like to convert the candidate to full-time eventually, but they are still open to considering strong H1B candidates as well. Job Description: We are seeking a skilled AI Engineer with strong hands-on experience in Generative AI solutions using AWS Bedrock. The ideal candidate will have 3 4 years of practical experience designing, developing, and deploying GenAI applications leveraging foundation models, LLM integrations, prompt engineering, and AI-powered workflows in AWS environments. This role requires real-world implementation experience with AWS Bedrock not just theoretical exposure. Candidates should be able to demonstrate production-level work involving Bedrock services, model integration, orchestration, and scalable AI application development. The engineer will collaborate with cross-functional teams to build intelligent automation solutions, conversational AI systems, enterprise copilots, document intelligence platforms, and AI-driven business applications. Key Responsibilities: Design and develop Generative AI applications using AWS Bedrock Integrate foundation models and LLMs into enterprise applications Build scalable AI workflows, RAG pipelines, and intelligent assistants Implement prompt engineering and model optimization strategies Develop APIs and backend services for AI-driven applications Work with vector databases, embeddings, and semantic search solutions Collaborate with cloud, DevOps, and data engineering teams Deploy and monitor AI solutions in AWS environments Ensure security, scalability, and performance optimization for GenAI systems Required Skills: 3 4 years of hands-on experience in Generative AI engineering Strong real-world experience with AWS Bedrock (mandatory) Experience integrating LLMs and foundation models Python programming expertise Experience with LangChain, RAG architecture, embeddings, and vector databases Strong AWS cloud experience REST API and microservices development experience Knowledge of prompt engineering and AI orchestration frameworks Experience with scalable cloud-native architecture Preferred Skills: Experience with Amazon Titan, Claude, Llama, or other Bedrock-supported models Knowledge of AI governance and responsible AI practices Experience with Kubernetes, Docker, and CI/CD pipelines Exposure to MLOps workflows
2. Write production-quality code and build core network protocol stacks supporting signaling and mobility management using 4G/5G RAN protocols such as RRC, PDCP, RLC, MAC, SCTP, S1AP, NAS, X2AP, and GTP 3. Design and code software for 2G, LTE, and 5G network protocols, ensuring compliance with 3GPP specifications while managing 4G/5G Core and RAN components including eNB/gNB CU/DU, MME, SGW, and PGW 4. Develop and debug systems-level software for authentication and O&M functions in a distributed environment utilizing Cloud-Native Architecture tools like Kubernetes, Docker, Ansible, and YAML 5. Build automated software testing frameworks for protocol conformance and end-to-end performance validation, incorporating DevOps practices, CI/CD pipelines, and microservices architecture 6. Analyze and resolve software performance issues across protocol layers using gdb, Valgrind, Wireshark, and tcpdump, while managing telecom protocols including SIP, IMS, VoLTE, VoIP, Diameter, and SS7/SIGTRAN 7. Collaborate with engineering teams to integrate protocol software with radio components, implementing Observability and Messaging solutions such as Prometheus, ELK, Grafana, and Kafka to ensure reliable deployment. 8. Evolve networking solutions by contributing to internal libraries and leveraging Modern AI Systems, including LLM-based automation, RAG, and MCP to enhance software engineering practices. Requires five (5) years of (post degree, progressive) experience in the job offered or a related occupation. Experience must have included: a. Programming & Scripting: C++, Python, Shell Script. b. Telecom Protocols: SIP, IMS, VoLTE, VoIP, Diameter, RCS, SS7/SIGTRAN. c. 4G/5G RAN Protocols: RRC, PDCP, RLC, MAC, SCTP, S1AP, NAS, X2AP, GTP. d. 4G/5G Core & RAN: eNB/gNB CU/DU, MME, SGW, PGW. e. Cloud-Native Architecture: Kubernetes, Docker, Ansible, YAML, Envoy/Istio. f. Observability & Messaging: Prometheus, ELK, Grafana, Kafka. g. DevOps & Distributed Systems: CI/CD, microservices, gRPC. h. AI/ML & Modern AI Systems: RAG, MCP, LLM-based automation, TensorFlow, Scikit-learn. Bachelors degree or foreign educational equivalent in Electronics Engineering, Electrical Engineering, Computer Science or a related field Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
04/30/2026
2. Write production-quality code and build core network protocol stacks supporting signaling and mobility management using 4G/5G RAN protocols such as RRC, PDCP, RLC, MAC, SCTP, S1AP, NAS, X2AP, and GTP 3. Design and code software for 2G, LTE, and 5G network protocols, ensuring compliance with 3GPP specifications while managing 4G/5G Core and RAN components including eNB/gNB CU/DU, MME, SGW, and PGW 4. Develop and debug systems-level software for authentication and O&M functions in a distributed environment utilizing Cloud-Native Architecture tools like Kubernetes, Docker, Ansible, and YAML 5. Build automated software testing frameworks for protocol conformance and end-to-end performance validation, incorporating DevOps practices, CI/CD pipelines, and microservices architecture 6. Analyze and resolve software performance issues across protocol layers using gdb, Valgrind, Wireshark, and tcpdump, while managing telecom protocols including SIP, IMS, VoLTE, VoIP, Diameter, and SS7/SIGTRAN 7. Collaborate with engineering teams to integrate protocol software with radio components, implementing Observability and Messaging solutions such as Prometheus, ELK, Grafana, and Kafka to ensure reliable deployment. 8. Evolve networking solutions by contributing to internal libraries and leveraging Modern AI Systems, including LLM-based automation, RAG, and MCP to enhance software engineering practices. Requires five (5) years of (post degree, progressive) experience in the job offered or a related occupation. Experience must have included: a. Programming & Scripting: C++, Python, Shell Script. b. Telecom Protocols: SIP, IMS, VoLTE, VoIP, Diameter, RCS, SS7/SIGTRAN. c. 4G/5G RAN Protocols: RRC, PDCP, RLC, MAC, SCTP, S1AP, NAS, X2AP, GTP. d. 4G/5G Core & RAN: eNB/gNB CU/DU, MME, SGW, PGW. e. Cloud-Native Architecture: Kubernetes, Docker, Ansible, YAML, Envoy/Istio. f. Observability & Messaging: Prometheus, ELK, Grafana, Kafka. g. DevOps & Distributed Systems: CI/CD, microservices, gRPC. h. AI/ML & Modern AI Systems: RAG, MCP, LLM-based automation, TensorFlow, Scikit-learn. Bachelors degree or foreign educational equivalent in Electronics Engineering, Electrical Engineering, Computer Science or a related field Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
ServiceNow Business Analyst Chandler, AZ - Remote only Local Preferred - Candidate must be staying in PST/MST time zone only Skills: ServiceNow Business Analyst, ServiceNow implementation, Process Automation, ITSM, ITOM, CSM, CMDB, ITIL, ServiceNow Certified System Administrator (CSA) Job Description: As a ServiceNow Business Analyst, you will act as a liaison between business stakeholders and technical teams to ensure the successful implementation and optimization of ServiceNow solutions. You will be responsible for gathering, analyzing, and documenting business requirements and working with development and implementation teams to translate these into technical solutions that meet business needs. Key Responsibilities: Requirements Gathering & Analysis: Collaborate with business stakeholders to understand their needs and document detailed business requirements for ServiceNow solutions, including ITSM, ITOM, CSM, CMDB, and other ServiceNow modules. Business Process Mapping: Analyze and map existing business processes, identify areas for improvement, and propose streamlined workflows that leverage ServiceNow functionality. Solution Design: Work closely with ServiceNow developers and architects to design solutions that meet business requirements, ensuring the alignment of the ServiceNow platform with business objectives and ITIL best practices. User Stories & Documentation: Develop detailed user stories, process flows, and use cases for ServiceNow configurations, customizations, and integrations. Configuration Support: Assist in the configuration of ServiceNow applications, including setting up business rules, workflows, forms, reports, and dashboards to meet business requirements. Testing & Quality Assurance: Coordinate user acceptance testing (UAT), ensuring that solutions are thoroughly tested and meet business expectations before deployment. Stakeholder Communication: Maintain regular communication with business users and technical teams to ensure alignment on project goals, timelines, and deliverables. Continuous Improvement: Identify opportunities for continuous improvement and optimization of ServiceNow processes and functionalities based on business feedback and performance metrics. Training & Support: Provide training and support to end-users on new or enhanced ServiceNow features, ensuring a smooth transition and adoption of new solutions. Change Management: Help support the change management process for ServiceNow upgrades and enhancements, ensuring proper communication and user readiness for changes. Required Qualifications: Experience: 5+ years of experience as a ServiceNow Business Analyst, with at least 3 years specifically focused on ServiceNow implementations and process automation. ServiceNow Knowledge: Deep understanding of IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM), and CMDB. Business Analysis Skills: Strong ability to analyze business requirements, model processes, and translate them into technical specifications. Proficiency in creating user stories, workflows, and process documentation. Communication Skills: Excellent verbal and written communication skills, with the ability to effectively collaborate with both business and technical teams. Strong presentation and facilitation skills. Stakeholder Management: Proven ability to work with various stakeholders, including business leaders, IT teams, and external vendors, to gather requirements, manage expectations, and deliver results. Problem-Solving: Strong analytical and problem-solving skills with the ability to address complex business challenges and propose effective solutions. ITIL Knowledge: A solid understanding of ITIL frameworks, particularly in the context of ServiceNow, is highly beneficial. Certifications: ServiceNow Certified System Administrator (CSA) or Business Analyst certifications (e.g., CBAP, IIBA) are highly desirable. Preferred Qualifications: Experience working in Agile/Scrum environments, including participation in sprint planning, retrospectives, and daily stand-ups Knowledge of ServiceNow integrations (REST/SOAP) and data management Familiarity with ServiceNow CSM features, including Case Management, Customer Portals, Knowledge Management, Omnichannel Engagement (email, chat, virtual agent), and experience configuring and optimizing customer service processes Familiarity with advanced ServiceNow features like Flow Designer, Virtual Agent, or Performance Analytics Experience with data migration and integration projects involving ServiceNow Understanding of cloud technologies (AWS, Azure) and how they integrate with ServiceNow MUST HAVE: 5+ years of experience as a ServiceNow Business Analyst, with at least 3 years specifically focused on ServiceNow implementations and process automation. Deep understanding of IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM), and CMDB. Strong ability to analyze business requirements, model processes, and translate them into technical specifications. Proficiency in creating user stories, workflows, and process documentation. A solid understanding of ITIL frameworks, particularly in the context of ServiceNow, is highly beneficial. ServiceNow Certified System Administrator (CSA) certification required.
04/30/2026
ServiceNow Business Analyst Chandler, AZ - Remote only Local Preferred - Candidate must be staying in PST/MST time zone only Skills: ServiceNow Business Analyst, ServiceNow implementation, Process Automation, ITSM, ITOM, CSM, CMDB, ITIL, ServiceNow Certified System Administrator (CSA) Job Description: As a ServiceNow Business Analyst, you will act as a liaison between business stakeholders and technical teams to ensure the successful implementation and optimization of ServiceNow solutions. You will be responsible for gathering, analyzing, and documenting business requirements and working with development and implementation teams to translate these into technical solutions that meet business needs. Key Responsibilities: Requirements Gathering & Analysis: Collaborate with business stakeholders to understand their needs and document detailed business requirements for ServiceNow solutions, including ITSM, ITOM, CSM, CMDB, and other ServiceNow modules. Business Process Mapping: Analyze and map existing business processes, identify areas for improvement, and propose streamlined workflows that leverage ServiceNow functionality. Solution Design: Work closely with ServiceNow developers and architects to design solutions that meet business requirements, ensuring the alignment of the ServiceNow platform with business objectives and ITIL best practices. User Stories & Documentation: Develop detailed user stories, process flows, and use cases for ServiceNow configurations, customizations, and integrations. Configuration Support: Assist in the configuration of ServiceNow applications, including setting up business rules, workflows, forms, reports, and dashboards to meet business requirements. Testing & Quality Assurance: Coordinate user acceptance testing (UAT), ensuring that solutions are thoroughly tested and meet business expectations before deployment. Stakeholder Communication: Maintain regular communication with business users and technical teams to ensure alignment on project goals, timelines, and deliverables. Continuous Improvement: Identify opportunities for continuous improvement and optimization of ServiceNow processes and functionalities based on business feedback and performance metrics. Training & Support: Provide training and support to end-users on new or enhanced ServiceNow features, ensuring a smooth transition and adoption of new solutions. Change Management: Help support the change management process for ServiceNow upgrades and enhancements, ensuring proper communication and user readiness for changes. Required Qualifications: Experience: 5+ years of experience as a ServiceNow Business Analyst, with at least 3 years specifically focused on ServiceNow implementations and process automation. ServiceNow Knowledge: Deep understanding of IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM), and CMDB. Business Analysis Skills: Strong ability to analyze business requirements, model processes, and translate them into technical specifications. Proficiency in creating user stories, workflows, and process documentation. Communication Skills: Excellent verbal and written communication skills, with the ability to effectively collaborate with both business and technical teams. Strong presentation and facilitation skills. Stakeholder Management: Proven ability to work with various stakeholders, including business leaders, IT teams, and external vendors, to gather requirements, manage expectations, and deliver results. Problem-Solving: Strong analytical and problem-solving skills with the ability to address complex business challenges and propose effective solutions. ITIL Knowledge: A solid understanding of ITIL frameworks, particularly in the context of ServiceNow, is highly beneficial. Certifications: ServiceNow Certified System Administrator (CSA) or Business Analyst certifications (e.g., CBAP, IIBA) are highly desirable. Preferred Qualifications: Experience working in Agile/Scrum environments, including participation in sprint planning, retrospectives, and daily stand-ups Knowledge of ServiceNow integrations (REST/SOAP) and data management Familiarity with ServiceNow CSM features, including Case Management, Customer Portals, Knowledge Management, Omnichannel Engagement (email, chat, virtual agent), and experience configuring and optimizing customer service processes Familiarity with advanced ServiceNow features like Flow Designer, Virtual Agent, or Performance Analytics Experience with data migration and integration projects involving ServiceNow Understanding of cloud technologies (AWS, Azure) and how they integrate with ServiceNow MUST HAVE: 5+ years of experience as a ServiceNow Business Analyst, with at least 3 years specifically focused on ServiceNow implementations and process automation. Deep understanding of IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM), and CMDB. Strong ability to analyze business requirements, model processes, and translate them into technical specifications. Proficiency in creating user stories, workflows, and process documentation. A solid understanding of ITIL frameworks, particularly in the context of ServiceNow, is highly beneficial. ServiceNow Certified System Administrator (CSA) certification required.
2. Engineer space-based cellular network protocols using C++ and SQL, and apply object-oriented programming, socket programming, memory management, and efficient use of Standard Template Library (STL) constructs, including vectors, maps, and sets. 3. Develop and integrate software for hardware systems to accelerate telecom call flows and enhance real-time satellite data processing efficiency. 4. Design and implement automation pipelines for network management and ground-based test beds simulating satellite communication workflows, utilizing shell scripting, command-line utilities, and version control tools, including Git for workflow validation. 5. Develop scalable software architectures for wireless network systems, incorporate object-oriented design principles, and implement unit and integration testing using Google Test (GTest) in a Test-Driven Development (TDD) workflow environment. 6. Configure, enhance, and troubleshoot network infrastructures across on-premises and cloud-based environments, ensuring scalability, high availability, and optimizing CPU resource utilization, working across UNIX and Windows environments using shell scripting and CLI tools while applying structured troubleshooting and defect prevention practices. 7. Monitor and analyze system performance using tcpdump and Wireshark, as well as Python-based data analysis tools, including Pandas, NumPy, and Matplotlib, to optimize system performance and configuration. 8. Conduct simulations and proof-of-concept implementations to replicate satellite-to-ground communication performance, validate new designs by troubleshooting in a hybrid development setup, and generate recommendations for production deployment. 9. Integrate and validate end-to-end network applications across multiple 3GPP technologies and nodes, ensuring functional interoperability and robust performance, while applying rigorous system testing methodologies and conducting static code analysis. 10. Collaborate with project managers on estimates, schedules, and budgets, review deliverables for accuracy, and mentor junior engineers in software engineering, testing, and networking practices. 11. Manage subscriber authentication and profile distribution across satellites for GSM and LTE technologies, implement dual authentication processes, process partner-provided subscriber data files using SQL and SSH, and ensure accurate handling of authentication vectors and signaling flows within the satellite network. 12. Support field testing activities by conducting live satellite connectivity tests using standard mobile devices, validating GSM and LTE call flows under real-world conditions, and assisting in partner demonstrations to ensure reliable performance of satellite-enabled cellular services. 13. Coordinate with missions and operations engineering teams to execute on-demand data and configuration updates to satellite systems, build Data Collection and Analysis (DCA) tools using C++, improve real-time data handling, and create and track tickets to ensure required files and parameters are in place for upcoming customer demonstrations and network operations. 14. Prepare technical documentation and architecture diagrams to support internal engineering processes, as well as lightweight documentation of call flows, automations, and system automation, and design for cross-functional communication; review and suggest updates to existing architecture documentation to align with evolving network requirements. Requires one (1) year of experience in the job offered or a related occupation. Experience must have included: a. Use of Python. b. System automation and automation of satellite communication workflows. c. Leading simulations to replicate satellite data performance using Python-based data analysis tools including Pandas, Numpy, and Matplotlib. d. Implementing FPGA-based AI/ML models to enhance processing efficiency. e. DevOps environments focused on automation. f. Optimizing CPU resource utilization. g. Use of C++ and SQL. h. Building Data Collection and Analysis (DCA) tools using C++. i. Authoring and executing unit and integration tests using Google Test (GTest) in a Test-Driven Development (TDD) workflow. j. Utilizing version control tools including Git, and conducting static code analysis. k. Implementing multithreading and socket programming techniques in C++. l. Working across UNIX and Windows environments, using shell scripting and CLI tools for module validation, deployment, and troubleshooting in a hybrid development setup. Requires a Masters degree or foreign educational equivalent in Engineering Technology, Network Communications, Information Technology or a related field. Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
04/30/2026
2. Engineer space-based cellular network protocols using C++ and SQL, and apply object-oriented programming, socket programming, memory management, and efficient use of Standard Template Library (STL) constructs, including vectors, maps, and sets. 3. Develop and integrate software for hardware systems to accelerate telecom call flows and enhance real-time satellite data processing efficiency. 4. Design and implement automation pipelines for network management and ground-based test beds simulating satellite communication workflows, utilizing shell scripting, command-line utilities, and version control tools, including Git for workflow validation. 5. Develop scalable software architectures for wireless network systems, incorporate object-oriented design principles, and implement unit and integration testing using Google Test (GTest) in a Test-Driven Development (TDD) workflow environment. 6. Configure, enhance, and troubleshoot network infrastructures across on-premises and cloud-based environments, ensuring scalability, high availability, and optimizing CPU resource utilization, working across UNIX and Windows environments using shell scripting and CLI tools while applying structured troubleshooting and defect prevention practices. 7. Monitor and analyze system performance using tcpdump and Wireshark, as well as Python-based data analysis tools, including Pandas, NumPy, and Matplotlib, to optimize system performance and configuration. 8. Conduct simulations and proof-of-concept implementations to replicate satellite-to-ground communication performance, validate new designs by troubleshooting in a hybrid development setup, and generate recommendations for production deployment. 9. Integrate and validate end-to-end network applications across multiple 3GPP technologies and nodes, ensuring functional interoperability and robust performance, while applying rigorous system testing methodologies and conducting static code analysis. 10. Collaborate with project managers on estimates, schedules, and budgets, review deliverables for accuracy, and mentor junior engineers in software engineering, testing, and networking practices. 11. Manage subscriber authentication and profile distribution across satellites for GSM and LTE technologies, implement dual authentication processes, process partner-provided subscriber data files using SQL and SSH, and ensure accurate handling of authentication vectors and signaling flows within the satellite network. 12. Support field testing activities by conducting live satellite connectivity tests using standard mobile devices, validating GSM and LTE call flows under real-world conditions, and assisting in partner demonstrations to ensure reliable performance of satellite-enabled cellular services. 13. Coordinate with missions and operations engineering teams to execute on-demand data and configuration updates to satellite systems, build Data Collection and Analysis (DCA) tools using C++, improve real-time data handling, and create and track tickets to ensure required files and parameters are in place for upcoming customer demonstrations and network operations. 14. Prepare technical documentation and architecture diagrams to support internal engineering processes, as well as lightweight documentation of call flows, automations, and system automation, and design for cross-functional communication; review and suggest updates to existing architecture documentation to align with evolving network requirements. Requires one (1) year of experience in the job offered or a related occupation. Experience must have included: a. Use of Python. b. System automation and automation of satellite communication workflows. c. Leading simulations to replicate satellite data performance using Python-based data analysis tools including Pandas, Numpy, and Matplotlib. d. Implementing FPGA-based AI/ML models to enhance processing efficiency. e. DevOps environments focused on automation. f. Optimizing CPU resource utilization. g. Use of C++ and SQL. h. Building Data Collection and Analysis (DCA) tools using C++. i. Authoring and executing unit and integration tests using Google Test (GTest) in a Test-Driven Development (TDD) workflow. j. Utilizing version control tools including Git, and conducting static code analysis. k. Implementing multithreading and socket programming techniques in C++. l. Working across UNIX and Windows environments, using shell scripting and CLI tools for module validation, deployment, and troubleshooting in a hybrid development setup. Requires a Masters degree or foreign educational equivalent in Engineering Technology, Network Communications, Information Technology or a related field. Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
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 Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI-powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross-functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI-enabled finance capabilities, translate business needs into high-impact product features, and guide teams to deliver scalable digital solutions that improve top-line and bottom-line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well-defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field 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 $136,300 - $227,100 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!
04/30/2026
Full time
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 Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI-powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross-functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI-enabled finance capabilities, translate business needs into high-impact product features, and guide teams to deliver scalable digital solutions that improve top-line and bottom-line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well-defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field 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 $136,300 - $227,100 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!
Title: Sr. Platform AI Engineer Location: Houston and Dallas, TX (Hybrid) (Local only) Duration: 12+ Months C2H Visa Independent Candidates only (USC, GC, GC EAD, TN) who can work on W2 with our client. No C2C/1099 enquiry please Video Interview Role Overview AI Foundry is key here. What these AI Engineers are doing will be working on the AI Infrastructure platform and then will be assigned to Product service lines within client once they select which use cases they are going to move forward with in terms of ROI with implementing AI tools. Key Responsibilities AI Platform Development: Define, implement, and standardize core components of the enterprise AI platform (AI Foundry). Establish best practices, frameworks, and reference architectures for AI/ML application development. Application Engineering: Build initial applications on the platform (e.g., chatbots, copilots, AI-enabled applications). Prove out build capabilities that future dev teams will replicate and scale. Integration & Security: Work with Copilot Studio and Microsoft Copilot to manage access, identities, and security compliance. Integrate with enterprise identity management and ensure secure system design. Team & Collaboration: Act as a senior IC while collaborating with engineering and product stakeholders. Contribute to rebuilding a cohesive team and mentoring junior members. Support cross-functional teams and partner with leadership on adoption strategy. Required Skills & Experience Strong expertise in Python development (core language for AI and data science). Proven experience with AI/ML platform engineering or enterprise-scale data platforms. Familiarity with Copilot Studio, Microsoft Copilot, or similar tools for enterprise AI integration. Knowledge of identity and security integration in enterprise environments. Background in large enterprise or consulting environments (not early-stage startup only). Strong IC who can operate independently while collaborating with leadership. Preferred Qualifications Experience building enterprise AI platforms from the ground up. Familiarity with cloud-based AI services (Azure OpenAI, AWS AI/ML, etc.). Ability to present technical work clearly to both technical and non-technical stakeholders. Prior experience in the oil & gas or energy sector is a plus.
04/30/2026
Title: Sr. Platform AI Engineer Location: Houston and Dallas, TX (Hybrid) (Local only) Duration: 12+ Months C2H Visa Independent Candidates only (USC, GC, GC EAD, TN) who can work on W2 with our client. No C2C/1099 enquiry please Video Interview Role Overview AI Foundry is key here. What these AI Engineers are doing will be working on the AI Infrastructure platform and then will be assigned to Product service lines within client once they select which use cases they are going to move forward with in terms of ROI with implementing AI tools. Key Responsibilities AI Platform Development: Define, implement, and standardize core components of the enterprise AI platform (AI Foundry). Establish best practices, frameworks, and reference architectures for AI/ML application development. Application Engineering: Build initial applications on the platform (e.g., chatbots, copilots, AI-enabled applications). Prove out build capabilities that future dev teams will replicate and scale. Integration & Security: Work with Copilot Studio and Microsoft Copilot to manage access, identities, and security compliance. Integrate with enterprise identity management and ensure secure system design. Team & Collaboration: Act as a senior IC while collaborating with engineering and product stakeholders. Contribute to rebuilding a cohesive team and mentoring junior members. Support cross-functional teams and partner with leadership on adoption strategy. Required Skills & Experience Strong expertise in Python development (core language for AI and data science). Proven experience with AI/ML platform engineering or enterprise-scale data platforms. Familiarity with Copilot Studio, Microsoft Copilot, or similar tools for enterprise AI integration. Knowledge of identity and security integration in enterprise environments. Background in large enterprise or consulting environments (not early-stage startup only). Strong IC who can operate independently while collaborating with leadership. Preferred Qualifications Experience building enterprise AI platforms from the ground up. Familiarity with cloud-based AI services (Azure OpenAI, AWS AI/ML, etc.). Ability to present technical work clearly to both technical and non-technical stakeholders. Prior experience in the oil & gas or energy sector is a plus.
Bitsoft International, Inc
King Of Prussia, Pennsylvania
Job Title: Enterprise Architect .NET/C# Modernization for Healthcare Systems Location: 100% Remote (EST Preferred Occasional Travel to Customer Sites) Duration: 18+ Months Rate: $Market/Hour Required Experience 15+ years of overall IT experience 5 6+ years as a Technical Lead / Solution Architect / Enterprise Architect Strong background in Healthcare & Life Sciences domain Extensive experience with .NET/C# enterprise application development and modernization Required Technical Skills Strong expertise in .NET / C# development Enterprise architecture and modernization experience REST API design and integration Data Migration: Legacy Systems to Modern Platforms PostgreSQL and/or SQL Server Batch Processing systems and workflows Cloud Platforms: AWS and/or Azure and/or GCP Experience with distributed systems and microservices architecture Strong understanding of SDLC, Agile methodologies, and DevOps practices Preferred Qualifications Experience modernizing healthcare platforms, EMR/EHR systems, claim processing systems, or healthcare data platforms Knowledge of healthcare compliance standards such as HIPAA Experience with cloud-native architecture patterns and containerized deployments Strong communication and stakeholder management skills
04/30/2026
Job Title: Enterprise Architect .NET/C# Modernization for Healthcare Systems Location: 100% Remote (EST Preferred Occasional Travel to Customer Sites) Duration: 18+ Months Rate: $Market/Hour Required Experience 15+ years of overall IT experience 5 6+ years as a Technical Lead / Solution Architect / Enterprise Architect Strong background in Healthcare & Life Sciences domain Extensive experience with .NET/C# enterprise application development and modernization Required Technical Skills Strong expertise in .NET / C# development Enterprise architecture and modernization experience REST API design and integration Data Migration: Legacy Systems to Modern Platforms PostgreSQL and/or SQL Server Batch Processing systems and workflows Cloud Platforms: AWS and/or Azure and/or GCP Experience with distributed systems and microservices architecture Strong understanding of SDLC, Agile methodologies, and DevOps practices Preferred Qualifications Experience modernizing healthcare platforms, EMR/EHR systems, claim processing systems, or healthcare data platforms Knowledge of healthcare compliance standards such as HIPAA Experience with cloud-native architecture patterns and containerized deployments Strong communication and stakeholder management skills
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
04/30/2026
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
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. Multiple Positions Available COMPANY: McKesson Corporation POSITION: Sr. Software Developer LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Lead architecting, development, and deployment for internal-facing web-based applications and data access points to provide a wide array of services supporting strategic US Oncology Network goals. Understand core operations and functionality of a strategic data and analytics team and combine that with best practices around securing PHI and other sensitive data on public cloud infrastructure to provide an internal service and connection points to other interfaces. Engineer and implement internal facing applications for managing team data, models, and operations by analyzing functional or technical requirements. Integrate with multiple data assets and the data and analytics platform to make content available following best practices and strict PHI requirements. Integrate with security frameworks, content management databases, and other internal McKesson systems. Be a technical and innovation leader to drive change in how data and analytics are used to meet business objectives by using technical and industry knowledge. Establish strong working relationships with senior management and internal stakeholders to understand business needs and prioritize work streams for the platform and data access strategic roadmap. Lead deployment schedule and communications for the webbased application and analytics platform. Proactively and independently learns and utilizes new technology, concepts and procedures as appropriate to project requirements. Maintains current knowledge of industry technology trends. Telecommuting allowed from a home office anywhere in the U.S. REQUIREMENTS: Bachelor's Degree in Computer Science, or related field of study and Four (4) years of experience in the job offered, as a Backend Programmer, Frontend Programmer or a related occupation. Employer will also accept Master's Degree in Computer Science, or related field of study and Two (2) years of experience in the job offered, as a Backend Programmer, Frontend Programmer or a related occupation in lieu of the Bachelor's Degree in and Four (4) years of experience. Experience must include 2 years in the following skills: Back-end web development; Development SQL database software; Ruby on Rails; VueJS; MSSQL; PostgreSQL; Git; Sidekiq; Docker; RSpec. OFFERED WAGE: $134,971-189,600/year CONTACT:To apply, please send resumes to . Reference #: 001770 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. 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. 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!
04/30/2026
Full time
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. Multiple Positions Available COMPANY: McKesson Corporation POSITION: Sr. Software Developer LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Lead architecting, development, and deployment for internal-facing web-based applications and data access points to provide a wide array of services supporting strategic US Oncology Network goals. Understand core operations and functionality of a strategic data and analytics team and combine that with best practices around securing PHI and other sensitive data on public cloud infrastructure to provide an internal service and connection points to other interfaces. Engineer and implement internal facing applications for managing team data, models, and operations by analyzing functional or technical requirements. Integrate with multiple data assets and the data and analytics platform to make content available following best practices and strict PHI requirements. Integrate with security frameworks, content management databases, and other internal McKesson systems. Be a technical and innovation leader to drive change in how data and analytics are used to meet business objectives by using technical and industry knowledge. Establish strong working relationships with senior management and internal stakeholders to understand business needs and prioritize work streams for the platform and data access strategic roadmap. Lead deployment schedule and communications for the webbased application and analytics platform. Proactively and independently learns and utilizes new technology, concepts and procedures as appropriate to project requirements. Maintains current knowledge of industry technology trends. Telecommuting allowed from a home office anywhere in the U.S. REQUIREMENTS: Bachelor's Degree in Computer Science, or related field of study and Four (4) years of experience in the job offered, as a Backend Programmer, Frontend Programmer or a related occupation. Employer will also accept Master's Degree in Computer Science, or related field of study and Two (2) years of experience in the job offered, as a Backend Programmer, Frontend Programmer or a related occupation in lieu of the Bachelor's Degree in and Four (4) years of experience. Experience must include 2 years in the following skills: Back-end web development; Development SQL database software; Ruby on Rails; VueJS; MSSQL; PostgreSQL; Git; Sidekiq; Docker; RSpec. OFFERED WAGE: $134,971-189,600/year CONTACT:To apply, please send resumes to . Reference #: 001770 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. 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. 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. 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!
04/30/2026
Full time
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!
Gen X Consumer Solutions
San Francisco, California
Responsibilities: Shape and execute VMware platform strategy and architecture Design and implement scalable, secure cloud solutions across diverse environments Develop target-state architectures and transformation roadmaps Advise executive stakeholders and translate business needs into technical solutions Lead delivery teams through implementation, optimization, and support phases Troubleshoot complex infrastructure and performance issues Requirements: 10+ years of relevant experience Bachelors degree in Information Technology or a related field VMware certifications (VCP-DCV, VCAP, VCF Specialist) Strong communication and stakeholder management skills Ability to operate in 24/7 critical environments Strong analytical and troubleshooting capabilities Proven collaboration and documentation skills Scripting/automation expertise: PowerCLI (required); Terraform, Ansible, or Python (preferred)
04/30/2026
Responsibilities: Shape and execute VMware platform strategy and architecture Design and implement scalable, secure cloud solutions across diverse environments Develop target-state architectures and transformation roadmaps Advise executive stakeholders and translate business needs into technical solutions Lead delivery teams through implementation, optimization, and support phases Troubleshoot complex infrastructure and performance issues Requirements: 10+ years of relevant experience Bachelors degree in Information Technology or a related field VMware certifications (VCP-DCV, VCAP, VCF Specialist) Strong communication and stakeholder management skills Ability to operate in 24/7 critical environments Strong analytical and troubleshooting capabilities Proven collaboration and documentation skills Scripting/automation expertise: PowerCLI (required); Terraform, Ansible, or Python (preferred)
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 $90,500 - $150,800 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!
04/30/2026
Full time
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 $90,500 - $150,800 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. The Senior Data Engineer - Databricks with CoverMyMeds will support and expand the data platforms that process, store, and organize data critical for the Data & Analytics team. We are hiring for two complementary roles within this scope: Ingestion-Focused Engineer - responsible for defining scalable ingestion patterns, establishing standards, and mentoring junior engineers as we expand data intake across domains Pipeline-Focused Engineer (Databricks) - responsible for designing and building robust data pipelines, leveraging Databricks and modern data engineering best practices Both roles play a key part in shaping how data flows into and across our platform and will partner closely to deliver scalable, high-quality data solutions. A background in pharmacy claims data is a strong plus for either role. These roles participate in technical strategy and execution to provide trusted, stable, reliable, responsive, and secure solutions, while proactively informing business partners on platform health and issue resolution. The Senior Data Engineer will work collaboratively with Data Systems Analysts as well as Analytics and Technology partners to solve business problems and deliver scalable solutions. Our preferred candidate would reside in the Columbus, OH area to support a hybrid work schedule, but we may consider a well-qualified full-remote candidate. This position requires current, unrestricted authorization to work in the United States on a permanent basis. We are unable to support or consider candidates on temporary work authorization, including but not limited to F-1 OPT, STEM OPT, CPT, or any status that requires employer sponsorship now or in the future. Responsibilities: Design and develop solutions and commissioning of complex data across systems for internal and external customers Develop data ingestion and integration pipelines from various sources into the data warehouse / lakehouse Define and implement scalable ingestion and pipeline patterns to support both batch and real-time processing Work with databases, files, and unstructured data to identify, transport, and validate data required for synchronization and incremental loads Write code in SQL and/or cloud-based tools such as Databricks (preferred) or Snowflake to cleanse, apply business logic, and standardize data according to business rules Design conceptual and logical data models based on business reporting requirements Partner with business and application teams to understand source system data flows and architect efficient downstream solutions Mentor junior engineers and contribute to engineering standards, best practices, and code quality R ole alignment (ingestion vs. pipeline focus) will be determined based on candidate strengths and team needs Qualifications: Bachelor's degree in Computer Science, Information Systems or related field, or related experience, and typically requires 7+ years of technical and professional expereince related to the responsibilities listed above Strong hands-on experience with cloud data platforms (Databricks strongly preferred), data warehousing, and pipeline development Experience building and maintaining scalable data ingestion frameworks and pipelines Experience working with structured and unstructured data in batch and real-time environments Strong SQL skills and experience applying business logic within data transformations Experience supporting Reporting & Analytics, Real-Time Analytics, Systems Integration, and Data Governance Demonstrated expertise in data modeling and database design Experience with large-scale data platform implementations Preferred Skills: Experience with Databricks (Delta Lake, Spark, workflows, and pipeline orchestration) Background working with pharmacy or healthcare claims data Excellent written and verbal communication skills; clear, timely communication with the ability to influence across teams Ability to find creative solutions to complex problems Strong sense of urgency and ownership for task/project completion Highly collaborative, able to work across business and technical teams to achieve results 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 $127,400 - $212,300 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!
04/30/2026
Full time
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 Senior Data Engineer - Databricks with CoverMyMeds will support and expand the data platforms that process, store, and organize data critical for the Data & Analytics team. We are hiring for two complementary roles within this scope: Ingestion-Focused Engineer - responsible for defining scalable ingestion patterns, establishing standards, and mentoring junior engineers as we expand data intake across domains Pipeline-Focused Engineer (Databricks) - responsible for designing and building robust data pipelines, leveraging Databricks and modern data engineering best practices Both roles play a key part in shaping how data flows into and across our platform and will partner closely to deliver scalable, high-quality data solutions. A background in pharmacy claims data is a strong plus for either role. These roles participate in technical strategy and execution to provide trusted, stable, reliable, responsive, and secure solutions, while proactively informing business partners on platform health and issue resolution. The Senior Data Engineer will work collaboratively with Data Systems Analysts as well as Analytics and Technology partners to solve business problems and deliver scalable solutions. Our preferred candidate would reside in the Columbus, OH area to support a hybrid work schedule, but we may consider a well-qualified full-remote candidate. This position requires current, unrestricted authorization to work in the United States on a permanent basis. We are unable to support or consider candidates on temporary work authorization, including but not limited to F-1 OPT, STEM OPT, CPT, or any status that requires employer sponsorship now or in the future. Responsibilities: Design and develop solutions and commissioning of complex data across systems for internal and external customers Develop data ingestion and integration pipelines from various sources into the data warehouse / lakehouse Define and implement scalable ingestion and pipeline patterns to support both batch and real-time processing Work with databases, files, and unstructured data to identify, transport, and validate data required for synchronization and incremental loads Write code in SQL and/or cloud-based tools such as Databricks (preferred) or Snowflake to cleanse, apply business logic, and standardize data according to business rules Design conceptual and logical data models based on business reporting requirements Partner with business and application teams to understand source system data flows and architect efficient downstream solutions Mentor junior engineers and contribute to engineering standards, best practices, and code quality R ole alignment (ingestion vs. pipeline focus) will be determined based on candidate strengths and team needs Qualifications: Bachelor's degree in Computer Science, Information Systems or related field, or related experience, and typically requires 7+ years of technical and professional expereince related to the responsibilities listed above Strong hands-on experience with cloud data platforms (Databricks strongly preferred), data warehousing, and pipeline development Experience building and maintaining scalable data ingestion frameworks and pipelines Experience working with structured and unstructured data in batch and real-time environments Strong SQL skills and experience applying business logic within data transformations Experience supporting Reporting & Analytics, Real-Time Analytics, Systems Integration, and Data Governance Demonstrated expertise in data modeling and database design Experience with large-scale data platform implementations Preferred Skills: Experience with Databricks (Delta Lake, Spark, workflows, and pipeline orchestration) Background working with pharmacy or healthcare claims data Excellent written and verbal communication skills; clear, timely communication with the ability to influence across teams Ability to find creative solutions to complex problems Strong sense of urgency and ownership for task/project completion Highly collaborative, able to work across business and technical teams to achieve results 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 $127,400 - $212,300 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!
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 Engineer Current Need: The Senior / Lead 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. 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. 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. McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!
04/30/2026
Full time
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 Engineer Current Need: The Senior / Lead 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. 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. 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. McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. 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 Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI-powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross-functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI-enabled finance capabilities, translate business needs into high-impact product features, and guide teams to deliver scalable digital solutions that improve top-line and bottom-line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well-defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field 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 $136,300 - $227,100 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!
04/30/2026
Full time
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 Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI-powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross-functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI-enabled finance capabilities, translate business needs into high-impact product features, and guide teams to deliver scalable digital solutions that improve top-line and bottom-line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well-defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field 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 $136,300 - $227,100 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!
REMOTE opportunity, Excellent Benefits, Cutting Edge Projects, and MORE! This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $110,000 - $140,000 per year A bit about us: Are you an experienced Data Engineer looking to make an impact on our healthcare system while utilizing advancements in AI? We're a technology-driven organization focused on bringing transparency and efficiency to healthcare payments. Our purpose is to drive better outcomes for both providers and payers by reducing waste and improving collaboration across the healthcare system. As a REMOTE Data Engineer, you will play a crucial role in building, optimizing, and maintaining data solutions that support our growing suite of products and services. You'll work closely with senior engineers and business stakeholders to design robust data workflows, ensure data accuracy, and help guide technical decisions across various projects. This role combines hands-on development with opportunities for leadership and mentorship, contributing to the strategic growth of our data capabilities. Why join us? Remote Culture - work from anywhere in the US! Excellent Medical, Dental, and Vision 401k with company match PTO Paid Sick Leave Paid Holidays Parental Leave Tuition Reimbursement Plan Job Details Key Responsibilities Develop, test, and maintain scalable data pipelines and ETL processes. Collaborate on the design of system architecture and data flow strategies. Partner with business units and technical teams to resolve data issues and support ongoing analytics efforts. Perform data wrangling tasks such as ingestion, transformation, and cleaning to enable meaningful analysis. Convert complex business needs into clear technical plans and data-driven solutions. Participate in peer code reviews and share best practices across the engineering team. Produce and maintain documentation related to data workflows, architecture, and models. Create custom reports and visualizations for both internal stakeholders and external partners. Assist in managing and troubleshooting a large volume of data pipelines. Work alongside software engineers to ensure data consistency within applications. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related discipline; equivalent experience considered. At least 3 years of professional experience in data engineering or related fields. Proficient in tools and languages such as Python, T-SQL, SQL Server Management Studio (SSMS), Azure Data Factory, and Databricks. Solid experience in data integration, ETL development, and building data warehouses. Familiarity with data governance standards and security protocols, especially in healthcare settings. Strong analytical skills with the ability to turn raw data into actionable insight. Preferred Experience Comfortable leading junior engineers or interested in mentoring. Knowledge of healthcare datasets and industry-specific data protections. Prior experience with cloud platforms, especially Microsoft Azure. Exposure to agile methodologies and tools such as JIRA, Bitbucket, or Red-Gate. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
04/29/2026
Full time
REMOTE opportunity, Excellent Benefits, Cutting Edge Projects, and MORE! This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $110,000 - $140,000 per year A bit about us: Are you an experienced Data Engineer looking to make an impact on our healthcare system while utilizing advancements in AI? We're a technology-driven organization focused on bringing transparency and efficiency to healthcare payments. Our purpose is to drive better outcomes for both providers and payers by reducing waste and improving collaboration across the healthcare system. As a REMOTE Data Engineer, you will play a crucial role in building, optimizing, and maintaining data solutions that support our growing suite of products and services. You'll work closely with senior engineers and business stakeholders to design robust data workflows, ensure data accuracy, and help guide technical decisions across various projects. This role combines hands-on development with opportunities for leadership and mentorship, contributing to the strategic growth of our data capabilities. Why join us? Remote Culture - work from anywhere in the US! Excellent Medical, Dental, and Vision 401k with company match PTO Paid Sick Leave Paid Holidays Parental Leave Tuition Reimbursement Plan Job Details Key Responsibilities Develop, test, and maintain scalable data pipelines and ETL processes. Collaborate on the design of system architecture and data flow strategies. Partner with business units and technical teams to resolve data issues and support ongoing analytics efforts. Perform data wrangling tasks such as ingestion, transformation, and cleaning to enable meaningful analysis. Convert complex business needs into clear technical plans and data-driven solutions. Participate in peer code reviews and share best practices across the engineering team. Produce and maintain documentation related to data workflows, architecture, and models. Create custom reports and visualizations for both internal stakeholders and external partners. Assist in managing and troubleshooting a large volume of data pipelines. Work alongside software engineers to ensure data consistency within applications. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related discipline; equivalent experience considered. At least 3 years of professional experience in data engineering or related fields. Proficient in tools and languages such as Python, T-SQL, SQL Server Management Studio (SSMS), Azure Data Factory, and Databricks. Solid experience in data integration, ETL development, and building data warehouses. Familiarity with data governance standards and security protocols, especially in healthcare settings. Strong analytical skills with the ability to turn raw data into actionable insight. Preferred Experience Comfortable leading junior engineers or interested in mentoring. Knowledge of healthcare datasets and industry-specific data protections. Prior experience with cloud platforms, especially Microsoft Azure. Exposure to agile methodologies and tools such as JIRA, Bitbucket, or Red-Gate. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
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 Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI enabled finance capabilities, translate business needs into high impact product features, and guide teams to deliver scalable digital solutions that improve top line and bottom line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities: Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement: Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills: 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills: Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field 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 $136,300 - $227,100 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!
04/29/2026
Full time
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 Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI enabled finance capabilities, translate business needs into high impact product features, and guide teams to deliver scalable digital solutions that improve top line and bottom line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities: Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement: Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills: 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills: Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field 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 $136,300 - $227,100 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. The Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI enabled finance capabilities, translate business needs into high impact product features, and guide teams to deliver scalable digital solutions that improve top line and bottom line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities: Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement: Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills: 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills: Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field 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 $136,300 - $227,100 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!
04/29/2026
Full time
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 Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI enabled finance capabilities, translate business needs into high impact product features, and guide teams to deliver scalable digital solutions that improve top line and bottom line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities: Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement: Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills: 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills: Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field 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 $136,300 - $227,100 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. 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 $90,500 - $150,800 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!
04/29/2026
Full time
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 $90,500 - $150,800 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!
