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McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. This is a hands-on technical role for a security-minded software developer who understands how applications are designed, written, deployed, and operated. You will partner directly with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, shared services, and automated controls that help teams deliver products faster and more securely. The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation. What You'll Do: Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture Basic Requirements: Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools Preferred Skills and Experience: Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001 Ability to translate complex security requirements and technical risks into practical guidance for development teams Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. 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 $140,300 - $233,800 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!

Job DescriptionJob DescriptionJob Title: Artificial Intelligence Senior Associate Location: Dearborn, MI (local preferred) Duration: 12 Months (with potential for extension) Interview: Interview onsite in South Lyon/Novi, MI Candidate must be USC or GC. Do not apply for C2C. It will be a hybrid position. REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME. Will be onsite 4 days a week. Position Description: Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3+ years building production software systems, including 1-2+ years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production - not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks - LangGraph, CrewAI, LlamaIndex, or equivalent - for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems - offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: Experience with cost optimization and model routing - designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. This is a hands-on technical role for a security-minded software developer who understands how applications are designed, written, deployed, and operated. You will partner directly with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, shared services, and automated controls that help teams deliver products faster and more securely. The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation. What You'll Do: Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture Basic Requirements: Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools Preferred Skills and Experience: Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001 Ability to translate complex security requirements and technical risks into practical guidance for development teams Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. 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 $140,300 - $233,800 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. CoverMyMeds is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. This is a hands-on technical role for a security-minded software developer who understands how applications are designed, written, deployed, and operated. You will partner directly with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, shared services, and automated controls that help teams deliver products faster and more securely. The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation. What You'll Do: Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture Basic Requirements: Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools Preferred Skills and Experience: Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001 Ability to translate complex security requirements and technical risks into practical guidance for development teams Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. 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 $140,300 - $233,800 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!

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. This is a hands-on technical role for a security-minded software developer who understands how applications are designed, written, deployed, and operated. You will partner directly with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, shared services, and automated controls that help teams deliver products faster and more securely. The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation. What You'll Do: Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture Basic Requirements: Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools Preferred Skills and Experience: Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001 Ability to translate complex security requirements and technical risks into practical guidance for development teams Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. 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 $140,300 - $233,800 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!

Machine Learning Engineer 5 (IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionJob DescriptionJob Title: Artificial Intelligence Senior Associate Location: Dearborn, MI (local preferred) Duration: 12 Months (with potential for extension) Interview: Interview onsite in South Lyon/Novi, MI Candidate must be USC or GC. Do not apply for C2C. It will be a hybrid position. REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME. Will be onsite 4 days a week. Position Description: Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3+ years building production software systems, including 1-2+ years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production - not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks - LangGraph, CrewAI, LlamaIndex, or equivalent - for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems - offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: Experience with cost optimization and model routing - designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. This is a hands-on technical role for a security-minded software developer who understands how applications are designed, written, deployed, and operated. You will partner directly with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, shared services, and automated controls that help teams deliver products faster and more securely. The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation. What You'll Do: Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture Basic Requirements: Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools Preferred Skills and Experience: Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001 Ability to translate complex security requirements and technical risks into practical guidance for development teams Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. 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 $140,300 - $233,800 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!

Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom. Please Note : At this time, we are unable to provide visa sponsorship for this role. Candidates must be authorized to work in the United States without sponsorship now or in the future. Primary Function The SAP Supply Chain Senior Solutions Architect is responsible for defining, governing, and delivering enterprise supply chain technology solutions with a primary focus on SAP Materials Management (MM) and related business processes. This role serves as a strategic technology leader for Materials Management, Procurement, Vendor Management, Master Data, Logistics Execution, Inventory Management, and Warehouse Management capabilities. The position partners closely with business stakeholders, enterprise architects, vendors, and delivery teams to develop technology roadmaps, drive innovation, and ensure scalable, secure, and sustainable solutions that support business objectives. Role Specific Responsibilities Solution Architecture & Strategy Lead architecture and solution design activities for SAP MM and related Supply Chain processes. Define and maintain the long-term technology roadmap for Materials Management and supporting Supply Chain applications. Ensure alignment of solutions with enterprise architecture standards, cybersecurity requirements, and business strategy. Evaluate emerging technologies and recommend opportunities for modernization, automation, AI, and digital transformation. Business Process & Functional Leadership Provide subject matter expertise in: SAP Materials Management (MM) Procurement and Purchasing Vendor Management MM Master Data Governance Logistics Execution Inventory Management and Warehouse Management (WM/EWM) Collaborate with business leaders to identify process improvements and technology opportunities. Translate business requirements into scalable solution architectures and implementation roadmaps. Application Ownership & Integration Own the architecture, support strategy, and lifecycle management for SAP MM and associated Supply Chain solutions. Provide architectural oversight for integrations between SAP and non-SAP applications. Maintain accountability for business-critical integrated solutions, including vendor portals, external supply chain applications, and related platforms. Ensure system reliability, performance, scalability, and supportability. Governance & Delivery Lead architecture reviews and solution governance activities. Establish and enforce design standards, best practices, and development guidelines. Support project delivery teams through design reviews, risk assessments, and solution validation. Drive continuous improvement initiatives across Supply Chain Systems. Vendor & Stakeholder Management Manage strategic relationships with software vendors, implementation partners, and service providers. Provide technical leadership and guidance to analysts, developers, and project teams. Influence business and technology stakeholders through effective communication and strategic planning. Qualifications Required Qualifications Bachelor's degree in Information Technology, Supply Chain, Business, Engineering, or a related discipline. 7+ years of experience in SAP Supply Chain solution architecture, consulting, implementation, or enterprise application leadership. Deep expertise in SAP Materials Management (MM), Procurement, Vendor Management, Material Master, Logistics Execution, and Inventory Management Experience supporting SAP ECC and/or SAP S/4HANA environments including SAP Configuration, Functional Specifications, Testing, SAP Implementations, Material Master, Purchasing Demonstrated experience leading enterprise-scale solution design and architecture governance. Experience integrating SAP solutions with non-SAP applications and external platforms. Strong analytical, communication, leadership, and stakeholder management skills. Preferred Qualifications Experience leading large-scale ERP transformation or modernization initiatives. Knowledge of enterprise integration platforms, APIs, middleware, and cloud technologies. Experience with data governance, master data management, and reporting solutions. SAP certification(s) in MM, S/4HANA, or related Supply Chain disciplines. Experience with SAP WM and/or SAP EWM. Success Measures Delivery of scalable, secure, and supportable Supply Chain solutions. Alignment of technology investments with business strategy and roadmap objectives. Improved operational efficiency, process standardization, and user experience. Effective governance of SAP and integrated Supply Chain platforms. Strong vendor partnerships and successful execution of strategic initiatives, We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.

Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom. Please Note : At this time, we are unable to provide visa sponsorship for this role. Candidates must be authorized to work in the United States without sponsorship now or in the future. Primary Function Responsible for recommending and advising direction on supply chain technology solutions, leading project implementations and technical design solutions for specific SAP modules, functional and/or business areas. Understands the business strategy of functions/areas, including Materials Management, Production Planning, as well as Demand and Supply Planning. Works with the business to define business requirements, create functional specifications, and deliver system configuration to enhance system performance. Communicates and coordinates with other team leads, business leadership, and Project Owners to ensure appropriate integration of processes and modules across the enterprise. Participates in critical path activities and resolves issues or escalates issues to the Project Owner as needed. Advises on the design and implementation of new business processes with organizational structure and required SAP configuration. Supports the business by assigning Service Now support tasks, completing support tasks, and monitoring performance of task completion across all supply chain and operations areas. Supports the business by leading project implementations and completing system enhancements to optimize business performance. Responsibilities Provide the highest levels of production support to materials management, production planning, production execution, as well as demand and supply planning. This includes collaborating with internal and external resources to provide the highest level of support to the business. Lead solution designs, enhancements, and sustainability in the areas of materials management, production planning, and production execution. Provide technical and functional expertise to develop functional designs and solutions to support Technical Developers in design and development of ECC solutions based on business needs - RICEFW objects and customizations. Participate in functional and technical reviews to validate designs involved in SAP and non-SAP solutions - Materials Management, Production Planning, and production execution. Provide recommendations and execution strategies to solve complex business issues. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Anticipate and manage stakeholder needs. Discuss and develop potential solutions to support Supply Chain Integrated Business Planning Areas. Support the execution of MM, PP, and production execution in test scripts and provide support in defect resolution. Understand end user's business needs, define requirements using existing SAP templates for SAP technologies/system enhancements, and communicate these to SAP functional teams. Deal effectively with ambiguous and unstructured problems and situations. Perform other duties as assigned. Qualifications Bachelor's Degree in Business, Engineering, Logistics, Computer Science, or a related field Minimum of 10 years related work experience ADDITIONAL QUALIFICATIONS: At least 5 life cycle implementations of SAP ECC IBP suite - Demand Forecasting, Supply and Response, preferred Strong knowledge of supply chain business processes, inventory control, material movements, and warehouse operations. Experience with SAP interfaces, APIs, IDocs, BAPIs, and integration frameworks. Knowledge of manufacturing execution systems and shop floor automation. Experience supporting manufacturing plant personnel with day-to-day ERP system processes Flexibility, adaptability, and process improvement approach Technical proficiency in Microsoft Office Strong written and verbal communication skills MBA preferred -Related Field We Offer Competitive base salary and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.

Job DescriptionJob DescriptionDescription: About ACTIA ACTIA is a global leader in electronic and software solutions for commercial vehicles, transit, Bus & Coach, specialty vehicles, and off-highway markets. Our technologies enable intelligent vehicle architectures through multiplexing systems, electronic control units (ECUs), smart displays (SHMI), telematics, connectivity, and power management solutions. As the transportation industry transitions toward Software-Defined Vehicles (SDV), ACTIA is helping OEMs modernize vehicle architectures by integrating advanced software platforms, connected services, cloud technologies, and intelligent electronics into next-generation vehicles. Position Overview ACTIA is seeking a highly motivated Senior Application Engineer with a strong software and systems engineering background to support OEM customers in the design, integration, and deployment of complete vehicle electronic architectures. This role combines system architecture, software engineering, customer engagement, and vehicle integration. The successful candidate will work closely with OEMs to define and implement solutions built around ACTIA's portfolio of: Electronic Control Units (ECUs) Multiplexing Systems Smart Human Machine Interfaces (SHMI) Power Management Systems (MPSxx) Telematics and Connectivity Platforms Vehicle Networking and Diagnostics Solutions The ideal candidate understands both traditional distributed vehicle architectures and the industry's evolution toward Software-Defined Vehicles, centralized computing, connected services, and over-the-air software deployment. Experience within the Bus & Coach industry is highly preferred, while exposure to agriculture, construction, specialty, or heavy-duty vehicle applications is considered a strong asset. Key Responsibilities System Architecture & Solution Design Design complete electronic and software architectures using ACTIA hardware and software platforms. Define vehicle network architectures using CAN, J1939, CAN FD, Ethernet, and related communication technologies. Translate customer requirements into scalable and maintainable system architectures. Create architecture diagrams, interface definitions, functional specifications, and integration plans. Support vehicle-level integration activities including displays, body control systems, multiplexing, power management, diagnostics, and connectivity. Software-Defined Vehicle (SDV) Development Support customer migration from traditional distributed ECU designs toward Software-Defined Vehicle architectures. Define software-centric vehicle architectures supporting feature scalability and lifecycle management. Assist customers with OTA update strategies, remote diagnostics, fleet connectivity, and cloud integration. Support implementation of service-oriented architectures and connected vehicle ecosystems. Collaborate on strategies involving domain controllers, centralized computing, and zonal architectures. Software Development & Integration Develop and support software applications running on ACTIA platforms. Collaborate with software development teams throughout requirements, implementation, validation, and release activities. Support embedded Linux and application-level software development. Participate in software troubleshooting, debugging, and validation activities. Support test automation and software quality processes. Functional Safety & Compliance Support development activities compliant with ISO 26262 functional safety requirements. Contribute to safety analyses, system requirements allocation, verification planning, and validation activities. Collaborate with quality and engineering teams to ensure compliance with customer and regulatory requirements. Promote best practices for safety-critical development processes. CI/CD & DevOps Support modern software development workflows utilizing CI/CD methodologies. Contribute to build automation, testing automation, release management, and deployment strategies. Improve software quality through continuous integration and automated validation. Participate in code reviews and software quality initiatives. Support version control and release traceability processes. Customer-Facing Engineering Act as a primary technical interface between ACTIA and OEM customers. Lead technical workshops, architecture reviews, design discussions, and solution demonstrations. Support prototype development, vehicle commissioning, and launch activities. Provide technical guidance throughout project execution and customer development programs. Required QualificationsEducation Bachelor's Degree in: Computer Engineering Software Engineering Electrical Engineering Computer Science Automotive Engineering Related Engineering Discipline Experience 5+ years of experience in automotive, commercial vehicle, transportation, or embedded systems engineering. Proven experience designing complex electronic and software systems. Experience interfacing directly with customers and OEM engineering teams. Experience integrating hardware, embedded software, and vehicle networking technologies. Technical RequirementsVehicle Electronics & Networking CAN CAN FD SAE J1939 Ethernet Diagnostic protocols Vehicle multiplexing systems ECU integration Software Development C/C++ Python Scripting languages Linux environments Embedded software development Application software development Software Defined Vehicle (SDV) Understanding of Software-Defined Vehicle principles and architectures. Knowledge of centralized computing and domain controller architectures. Familiarity with OTA update strategies and software lifecycle management. Experience supporting connected vehicle and cloud-based software solutions. Understanding of software architecture principles for vehicle platforms. CI/CD & DevOps Experience with: Git Azure DevOps GitLab Jenkins Continuous Integration Continuous Deployment Automated testing frameworks Version control and release management Functional Safety & Quality Knowledge of: ISO 26262 Automotive SPICE (ASPICE) Requirements management Verification and validation processes Safety-critical software development Preferred Qualifications Experience in the Bus & Coach industry. Experience supporting transit agencies or commercial vehicle OEMs. Familiarity with ACTIA products and multiplexing architectures. Knowledge of vehicle electrical distribution systems and power management. Experience with telematics and connected fleet solutions. Familiarity with AUTOSAR Classic and/or Adaptive AUTOSAR. Knowledge of ISO 21434 automotive cybersecurity. Understanding of UNECE R155 and R156 requirements. Experience with cloud platforms, edge computing, and vehicle-to-cloud architectures. Experience with zonal architectures, domain controllers, and centralized vehicle computing. Exposure to electric vehicle (EV) or hybrid vehicle programs. Desired Characteristics Strong systems thinker with the ability to understand complete vehicle architectures. Customer-focused mindset and excellent communication skills. Ability to bridge software, hardware, networking, and vehicle integration disciplines. Strong analytical and problem-solving skills. Comfortable working in a fast-paced technical environment. Passion for emerging transportation technologies and Software-Defined Vehicles. What Success Looks Like Within your first year, you will: Lead architecture discussions with key OEM customers. Deliver complete vehicle solutions utilizing ACTIA ECUs, SHMIs, MPSxx power modules, and connectivity platforms. Support successful customer launches through integration, testing, and validation phases. Help establish modern CI/CD and software delivery practices for customer programs. Contribute to ISO 26262-compliant product development activities. Become a trusted technical advisor for vehicle architecture, software integration, and Software-Defined Vehicle initiatives. Why ACTIA? Join a company shaping the future of transportation through intelligent electronics, connected software platforms, and Software-Defined Vehicle technologies. You'll work directly with leading OEMs, influence next-generation vehicle architectures, and help transform how commercial vehicles are designed, connected, and maintained. Requirements: Minimum Qualifications and Education Bachelors or higher in EE, EET, ME, MET, CS or demonstrable equivalent Must have superior troubleshooting skills Experience in vehicle/vessel system architectures Experience with databus messaging structure & application; preferably CAN Experience with small signal analog electronic design Experience with Digital electronic design including microcontrollers . click apply for full job details

Job DescriptionJob DescriptionDescription: This is an onsite position located in Elkhart, IN At Conn Selmer, we're passionate about music and dedicated to producing the highest-quality instruments for musicians of all skill levels. As a member of our organization, we seek candidates who possess the following values: Integrity, Excellence, Teamwork, Inclusivity, and Innovation. Please see our Conn Selmer website () for more information about who we are. The Operations Business Analyst reports directly to the SVP, Global Manufacturing and Distribution with dotted line reporting to Finance. This position supports the Global Manufacturing & Distribution organization by collecting, integrating, analyzing, and interpreting operational and financial data to identify root causes, recommend business improvements, and support fact-based operational decision-making. Develops reports, dashboards, analytical models, and performance metrics for Manufacturing, Quality, Distribution, Transportation & Logistics, Inventory, Supply Chain, and Sales & Operations Planning (S&OP) to improve operational visibility, customer service, and business performance. Partner with Operations, Finance, Planning, Procurement, Quality, Distribution, and Transportation teams to identify trends, quantify business impact, automate reporting, respond to ad hoc analytical requests, and support continuous improvement initiatives. Ensures cost structures for import products are accurate - including purchase prices, freight and tariff. Responsible for imported product standard cost rolls and ownership of Freight and Tariff cost structures; including proper rate setting for standard cost roll. Develops financial and operational models to evaluate business scenarios and operational decisions. Responsibilities Collect, integrate, validate, and model data from Manufacturing, Distribution, Transportation, Quality, Supply Chain, Finance, Planning, ERP, and Microsoft Dynamics 365. Analyze operational performance to identify trends, root causes, risks, and improvement opportunities. Conduct structured Root Cause Analysis (RCA) and provide data-driven recommendations. Develop action plans that clearly define responsibilities, timelines, expected outcomes, and success measures. Translate complex analytical findings into concise dashboards, visualizations, reports, presentations, and business cases that support leadership decision-making, strategic initiatives, and business development opportunities. Develop and automate Power BI dashboards and KPIs including forecast accuracy, inventory position versus safety stock, stockouts, inventory health, schedule attainment, manufacturing productivity, quality performance, transportation performance, and customer service metrics. Support automation of data collection and KPI reporting for the Executive S&OP process. Support ongoing Microsoft Dynamics 365 reporting, process improvements, data validation, and operational analytics. Analyze manufacturing productivity, labor efficiency, production variances, and manufacturing P&L performance. Support inventory optimization through analysis of inventory turns, excess and obsolete inventory, working capital, and inventory positioning. Analyze Distribution Center performance including order fulfillment, warehouse productivity, shipping performance, order cycle time, distribution costs, and customer service metrics. Analyze transportation and logistics performance including freight cost, carrier performance, on-time delivery, premium freight, shipment consolidation opportunities, mode optimization, and transportation cost reduction initiatives. Support Plant Performance Reviews and Executive S&OP by preparing analyses and presentation materials. Maintain data integrity and support master data governance. Support continuous improvement initiatives by measuring KPI performance, tracking corrective actions, evaluating business results, and conducting analyses to support management decision-making. Reconcile foreign vendor inventory, and inventory in transit (to and from - water location) Perform and Analyze Periodic Cycle Count Audits Requirements: Bachelor's degree in Industrial Engineering, Supply Chain, Operations Management, Business Analytics, Finance, Data Analytics, or related field. Three (3) to five (5) years of experience in manufacturing, supply chain, operations, finance, business analytics, industrial engineering, business analytics, transportation, or distribution. Advanced Microsoft Excel required. Power BI required; Microsoft Dynamics 365 experience preferred. Knowledge of LSS, Kaizen, root-cause analysis or continuous-improvement methodologies and operational excellence preferred. Strong analytical and structured problem-solving skills. Demonstrated ability to collect, analyze, model, and present data in a clear and understandable format. Strong written and verbal communication skills. Manufacturing environment experience preferred. Requires periods of sedentary work, daily standing and walking on shop floor. Requires repetitive upper body movement - keyboard and monitor use. Visual acuity.

Job DescriptionJob Description Controls Programmer (BMS / BAS / Industrial Automation) Location: South Bend, IN Travel: Occasional Regional Travel for Commissioning and Field Support Company: JSET Automated Technologies About JSET Automated Technologies JSET Automated Technologies specializes in Building Management Systems (BMS), Electrical Power Monitoring Systems (EPMS), industrial controls, and mission-critical infrastructure projects. Our teams support advanced automation and controls installations across data centers, industrial facilities, and critical infrastructure environments throughout the United States. This role is ideal for candidates with experience as a Controls Programmer, Automation Engineer, Building Automation Programmer, BAS Programmer, BMS Programmer, PLC Programmer, SCADA Programmer, or Controls Specialist. Position Overview JSET Automated Technologies is seeking a Controls Programmer to develop, implement, troubleshoot, and support automation systems for industrial and building automation projects. This is a hands-on programming role that combines software development with real-world field support. The ideal candidate enjoys seeing systems operate in the field, collaborating with technicians and commissioning teams, and solving complex automation challenges during startup and commissioning activities. While this position will primarily support projects in the South Bend region, candidates should be open to occasional travel for commissioning, startup, and project support activities. What You'll Do Program, configure, and troubleshoot DDC controllers and PLC-based control systems Develop control logic, sequences of operation, alarms, trends, schedules, and point databases Create operator interfaces, HMI graphics, dashboards, and visualization screens Configure and document BACnet, Modbus, and related communication protocols Support field commissioning, startup, and functional testing activities Troubleshoot control logic, communication issues, I/O problems, and device integration challenges Work closely with field technicians, project managers, engineers, and commissioning teams Support Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT) Maintain accurate documentation, backups, and version control of control system programs Assist with system optimization, performance improvements, and customer support activities Participate in project turnover and closeout processes Required Qualifications 2+ years of experience programming industrial automation, building automation, or control systems Experience with one or more of the following platforms: Niagara (Tridium) Ignition PLC-based automation systems Rockwell Automation platforms preferred Strong understanding of control sequences and system operation Ability to troubleshoot automation systems in live operational environments Experience working with field teams during installation, startup, and commissioning activities Understanding of networking fundamentals and industrial communications Ability to read and interpret electrical drawings, controls schematics, and sequence of operations documents Strong problem-solving and communication skills Valid driver's license and ability to travel as needed Preferred Qualifications Experience with Building Automation Systems (BAS) or Building Management Systems (BMS) Experience with Electrical Power Monitoring Systems (EPMS) Experience with data center, industrial, manufacturing, or mission-critical projects Familiarity with BACnet, Modbus TCP/IP, Modbus RTU, or other industrial communication protocols Experience developing HMI graphics and operator dashboards Associate's or Bachelor's degree in Engineering, Automation, Controls, Computer Science, Electrical Technology, or related field Experience supporting commissioning and startup activities Benefits Competitive Compensation Medical, Dental, and Vision Insurance 401(k) with Company Match Paid Time Off and Paid Holidays Company-Paid Life Insurance Career Advancement Opportunities Ongoing Technical Training and Professional Development Exposure to Advanced Data Center, Industrial, and Critical Infrastructure Projects Work Environment Hybrid field and office environment Work in active construction, industrial, and operational facilities Occasional travel for project startup, commissioning, and customer support Collaboration with field technicians, engineers, project managers, and commissioning teams Participation in startup and troubleshooting activities within mission-critical environments Join the JSET Team If you're passionate about automation, controls, and solving complex technical challenges, JSET offers an opportunity to work on cutting-edge projects while growing your career alongside an experienced team of automation professionals. Apply today and help deliver the systems that power modern data centers, industrial facilities, and critical infrastructure projects. Work Authorization: Applicants must be authorized to work in the United States on a full-time basis. JSET Automated Technologies does not sponsor employment visas for this position.

Job Description Job Description Job Title: Solutions Operations Lead McLean, VA Onsite - onsite Security Clearance: Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; Responsibilities Oversee secure, scalable, and compliant cloud operations, deployment automation, DevSecOps practices, and infrastructure reliability across mission-critical environments. Lead day-to-day cloud and platform operations across AWS and hybrid environments, ensuring availability, resiliency, performance, and mission continuity. Manage provisioning, deployment, hardening, patching, and lifecycle management of cloud infrastructure and applications across various environments. Establish and enforce operational standards for environment readiness, configuration management, backup and recovery, monitoring, alerting, and incident response. Drive continuous improvement in platform reliability, operational efficiency, and service maturity through automation and standardization. Design, implement, and optimize DevSecOps pipelines and deployment automation using tools such as AWS CDK/Terraform/CloudFormation, Git, Jenkins/GitLab, GitHub Actions, AWS CodePipeline, Docker, and related technologies. Promote Infrastructure as Code (IaC) practices to standardize provisioning, improve repeatability, and reduce manual configuration drift across environments. Establish secure, scalable, and auditable CI/CD processes supporting rapid delivery while maintaining strong quality controls and release discipline. Partner with cybersecurity and compliance teams to implement secure operational practices aligned with NIST, CIS, FISMA, FedRAMP, and zero-trust principles. Ensure infrastructure, deployment workflows, and operational processes are audit-ready and support logging, monitoring, vulnerability remediation, access control, and evidence collection requirements. Lead remediation planning and operational risk reduction efforts to improve security and compliance posture. Support ATO-aligned operational activities, control implementation, and readiness documentation. Mentor and lead a team of DevSecOps, cloud, and platform engineers, fostering accountability, collaboration, and technical excellence. Collaborate with engineering, architecture, networking, security, and other stakeholders to align operations with enterprise standards and delivery timelines. Communicate operational status, risks, recommendations, and opportunities effectively to both technical and non-technical audiences. Develop and maintain operational documentation including SOPs, runbooks, architecture diagrams, deployment procedures, and secure configuration baselines. Define and track operational KPIs, deployment metrics, service health indicators, and compliance measures to support transparency and decision-making. Identify and implement process, tooling, and automation improvements to enhance reliability, security, and efficiency. Support business continuity, disaster recovery, and operational readiness planning. Requirements Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred. Bachelor's degree in Engineering, Information Technology, Computer Science, or related field (or equivalent experience). Minimum TEN (10) years of experience in cloud operations, infrastructure engineering, DevOps/DevSecOps, or enterprise platform operations. Minimum THREE (3) years of experience in a technical leadership role, including leading or mentoring a team of engineers responsible for cloud, DevOps, platform, or security operations. Strong hands-on experience with AWS cloud services and hybrid infrastructure environments. Experience with Infrastructure as Code (IaC), Terraform, CloudFormation or AWS CDK for provisioning and managing cloud infrastructure. Proficiency in building and operating CI/CD pipelines and deployment automation using tools such as Git, GitLab, GitHub Actions, AWS SDK, AWS CodePipeline, and Docker. Deep understanding of DevSecOps principles, secure SDLC practices, release automation, and operational governance. Experience implementing security and compliance controls aligned with frameworks such as NIST, CIS, FISMA, FedRAMP, and zero-trust. Experience with system logging, monitoring, alerting, dashboards, and operational observability tools. Strong scripting and automation skills using Python, Bash, or similar languages. Ability to troubleshoot complex operational, deployment, and infrastructure issues across cloud and hybrid environments. Excellent written and verbal communication skills to collaborate effectively across teams and stakeholders. Nice-to-Have Skills AWS Certified DevOps Engineer - Professional, AWS Solutions Architect, AWS Security Specialty, or equivalent certification. Cybersecurity certifications such as Security+, CISSP, or similar. Experience supporting federal or highly regulated environments, including ATO, FISMA, FedRAMP. Experience with Kubernetes, Amazon EKS, and orchestration platforms. Knowledge of secrets management, policy-as-code, vulnerability scanning, and security automation tools. Experience designing high-availability architectures, disaster recovery, and continuity planning. Familiarity with monitoring and SIEM tools like CloudWatch, Splunk, Prometheus, Grafana. Experience supporting data platforms or AWS-native data services. Use of AI-assisted engineering tools for improving delivery and quality. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Qualcomm is seeking a Senior Engineer to design and optimize advanced wireless and media solutions for 5G, IoT, and mobile platforms. In this role, you will architect, implement, and debug high performance software and/or silicon features, analyze system performance, and drive end to end optimization across modem, RF, and application layers. You will collaborate closely with cross functional global teams to translate product requirements into scalable designs, conduct simulations, code reviews, and lab validation, and ensure carrier grade reliability. This position suits engineers who thrive in an innovative, fast paced environment and want to shape next generation connectivity. Responsibilities Design and implement advanced wireless and media features for 5 G, Io T, and mobile platforms Architect scalable software and/or silicon solutions aligned with product requirements Analyze system performance and drive end to end optimization across modem, RF, and application layers Debug complex issues using lab tools, logs, and simulations to ensure carrier grade reliability Collaborate with cross functional global teams including hardware, firmware, and systems engineering Conduct code reviews, design reviews, and contribute to best engineering practices Develop and run simulations, test plans, and validation procedures for new features Document designs, interfaces, and performance results for internal and external stakeholders Required Skills Wireless communications (4 G/5 G, LTE, NR) C/C++ programming Embedded systems development System level performance analysis Signal processing fundamentals So C and modem architecture Python or scripting for automation Lab debugging tools and test equipment Version control (e.g., Git) Simulation and modeling tools (e.g., MATLAB)

Qualcomm seeks a CPU Performance Analysis Engineer to optimize next generation wireless and mobile SoCs for 5G, AI, and automotive platforms. You will analyze CPU microarchitecture and system level performance, develop benchmarks and workloads, and identify bottlenecks across memory, interconnect, and power. Partner with design, architecture, and software teams to propose improvements, validate performance models, and correlate pre silicon and post silicon results. This innovative, fast paced role offers complex engineering challenges, global collaboration, and strong growth opportunities in a high impact, connectivity driven environment. Responsibilities Analyze CPU and So C performance using simulation, emulation, and silicon measurements Develop, run, and maintain performance benchmarks and workloads Identify and root cause microarchitectural and system level performance bottlenecks Collaborate with architecture and design teams to propose performance enhancements Correlate pre silicon models with post silicon measurements and refine models Generate performance reports and recommendations for future CPU and So C designs Work with software and firmware teams to optimize code for target architectures Contribute to performance tooling, automation, and data analysis pipelines Support bring up and validation of new CPU cores and So C platforms Present findings to cross functional stakeholders in a clear, data driven manner Required Skills CPU microarchitecture So C architecture Performance modeling and analysis C/C++ programming Python or similar scripting Benchmark development and profiling Linux development environment ARM or similar ISA knowledge Data analysis and visualization Simulation and emulation tools

As a Delivery Consultant at Amazon Web Services, Inc., you will design and implement secure, scalable cloud solutions on AWS for enterprise customers. You'll lead discovery sessions, translate business requirements into architectures, and guide customers through migrations, modernization, and optimization. You will build automation using Infrastructure as Code, integrate security and compliance, and collaborate with engineers, product teams, and stakeholders. You'll share best practices, produce technical documentation, mentor customers, and help drive successful, measurable outcomes on AWS. Responsibilities Design and deliver secure, scalable AWS architectures for customer workloads. Lead discovery and requirements sessions to translate business needs into technical solutions. Implement migrations, modernization, and optimization of applications and infrastructure on AWS. Build automation and Infrastructure as Code using tools like Cloud Formation or Terraform. Integrate security, compliance, and governance best practices into customer solutions. Collaborate with cross-functional AWS and customer teams to ensure successful project delivery. Develop CI/CD pipelines and deployment automation for cloud-based applications. Monitor, troubleshoot, and optimize performance, reliability, and cost of AWS environments. Create clear technical documentation, runbooks, and architecture diagrams. Educate and mentor customers on AWS best practices and emerging cloud capabilities. Required Skills AWS architecture and services Cloud solution design Infrastructure as Code (Cloud Formation/Terraform) Linux/Windows administration Networking and security in cloud environments Containers (ECS/EKS/Docker) CI/CD pipelines Scripting (Python/Bash/Power Shell) Monitoring and observability tools Technical documentation and presentations

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Are you experienced in building and managing Windows systems, with a passion for maintaining highly-available IT infrastructure and services at a massive scale? The Controls Fleet team is responsible for supporting some of Amazon's most critical infrastructure services. As part of Amazon Web Services, we power the infrastructure behind the world's premier e-commerce and cloud computing environments. To meet the growing demand for AWS services worldwide, we seek exceptionally motivated individuals driven by learning and innovation. We are looking for a passionate and motivated Windows Engineer to join our team of Systems Engineers. By joining us, you'll become part of a world-class team in a dynamic environment with the entrepreneurial spirit of a start-up. This is an opportunity to operate and engineer systems on a massive scale, gaining world-class experience in managing and supporting critical infrastructure. You'll work alongside passionate individuals dedicated to deploying and supporting essential IT infrastructure that powers AWS. The ideal candidate will be innovative, possess excellent problem-solving and analytical skills, and thrive in a fast-paced environment. They should have a keen attention to detail and the ability to solve problems at their root. The Controls Fleet Operations team services customers globally, requiring the ability to manage multiple tasks and adapt to different challenges. In addition, the ideal candidate should have an expert understanding of Windows tools such as Active Directory, Group Policy, DNS, Hyper-V, Windows Failover Clustering, and Microsoft Endpoint Configuration Manager (ECM) or AWS Systems Manager. Proficiency in PowerShell, or a similar scripting language, and windows automation are essential. This role demands a solid foundation in networking principles and hands-on experience with hardware troubleshooting and system building. If you are passionate about technology, excited by the prospect of working in a dynamic, fast-paced environment, and driven to solve complex problems, we would love to hear from you. Key job responsibilities • Large-Scale Windows Server Environments: Design, build, and support extensive Windows server environments. • Enterprise Tooling: Implement and manage enterprise-scale tooling, such as Microsoft Endpoint Configuration Manager (ECM) or AWS Systems Manager, for a large Windows fleet. • Automation and Scripting: Develop and implement best practices for automating tasks and scripting in large server environments. Proficiency in PowerShell is essential. • Innovation and Problem Solving: Utilize creativity and analytical skills to solve complex problems and implement innovative solutions. • Adaptability: Quickly adjust to changing priorities and manage multiple tasks efficiently. • Hardware Troubleshooting: Diagnose and resolve hardware issues, with hands-on experience in system building. • Networking and Windows Administration: Strong understanding of networking principles and expert-level Windows administration. • Global Deployment: Create scripts and automation tasks applicable to a global server fleet. • On call: Participate in a 24x7 on call rotation that supports global customers • Ability to travel domestically and internationally up to 10% of the time About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - Experience working with Linux - Knowledge of TCP/IP and networking protocols such as HTTP and DNS - 5+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience troubleshooting and debugging technical systems, or experience in technical support and experience with virtualization (Hypervisors, VMware, Xen) - 5+ years of experience deploying, managing, and supporting large-scale Windows Server environments (500+ servers), including OS lifecycle management, patch compliance, and fleet-wide standardization across geographically distributed data center infrastructure. PREFERRED QUALIFICATIONS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience using AWS services - 5+ years experience with virtualization (Hypervisors, VMware, or Xen) and supporting the underlying hardware components - Demonstrated experience managing and maintaining a large-scale Windows Server fleet across geographically distributed environments, leveraging enterprise-level configuration management and automation tooling such as Enterprise Configuration Management (ECM), AWS Systems Manager, or equivalent platforms to drive patching compliance, system standardization, and operational efficiency at scale. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave . click apply for full job details