Role Description The Senior Power Platform Developer must be able to meet the key criteria below: - Location: 100% remote. This is a United States based position, and candidates must reside in the continental United States to be eligible for employment. - Years’ Experience: 7+ years professional development experience - Education: Bachelor’s degree in IT related field - Security Clearance: IBR is a federal contractor. Applicants must be able to obtain and maintain up to a Secret security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance. - Employment Type: Full-Time - Work Schedules: IBR promotes work-life balance by offering flexible scheduling options. Standard business hours are aligned to the Eastern Time Zone. As a Power Platform Developer at IBR, you will provide support to several SharePoint clients. Although this position will work closely with IT teams to resolve complex issues related to SharePoint environments, the candidate must be able to work autonomously and independently to resolve complex development issues. The desired candidate will have advanced knowledge and experience in SharePoint and the Power BI Platform and you will be responsible for designing, developing, and supporting Power Platform based capabilities, and SharePoint implementations (intranet, extranet, and Internet) in development, test, and production environments both internal to IBR as well as to our external clients/contracts. Responsibilities - Support to corporate IBR corporate and program initiatives - Develop, customize, implement, and maintain current MS SharePoint environments - Develop, customize, implement, and maintain current MS Power Platform Services (Power Apps, Power Automate, PowerShell, and Power BI) - Design, develop and manage Power Automate workflows, lists, permissions, views and SharePoint solutions, Teams, and Power Apps solutions to automate business processes and improve efficiency across the organization - Design and deploy custom Company-facing web sites built on the SharePoint platform - Develop and administer collaborative solutions designed to manage information, streamline business processes, simplify reporting, and gather information - SharePoint Online Site Administration including building sites and pages, modifying, and deleting sites, managing SharePoint Permissions (Site Permissions, User groups, Document Library/List Permissions, Break Inheritance) - Troubleshoot and resolve issues with MS SharePoint and MS Power Platform Services - Design, testing, and deployment of MS applications - Ensure all cybersecurity best practices are applied to Power App and SharePoint based applications and information systems - Provide support for system components such as MS Access DB administration and Active Directory account and group policy management - Provide support for MS SharePoint and MS Power Platform Services to co-workers and team members - Keep up-to-date with the latest technology - Respond to customer or team feedback quickly - Create and maintain documentation - Responsible for weekly and monthly metrics and reporting to stakeholders - Work closely with IT manager Qualifications - 7+ years of experience with SharePoint MS Online as well as experience with additional Power Platform experience in PowerApps, Power Automate and Power BI experience - Must be able to obtain and maintain up to a Secret security clearance - Bachelor’s degree required - SharePoint Online Site Administration including building sites and pages, modifying, and deleting sites, managing SharePoint Permissions (Site Permissions, User groups, Document Library/List Permissions, Break Inheritance) - Knowledge of managing SharePoint Lists and document libraries - Solid understanding of SharePoint architecture - Proficient with configuring and implementing Power Automate - Proficient in Power BI implementation of metrics and dashboards - Strong proficiency in developing PowerApps - Solid understanding of PowerApps formulas and development methods - Experience in using OOTB connectors for Power Apps and Power Automate - Experience with Microsoft Forms - Ability to translate business requirements into technical solutions - Ability to learn and understand new technologies associated with SharePoint and O365 products - Must be able to work independently to resolve complex technical requirements - Must be able to organize and plan work independently - Excellent verbal and written communication skills - Ability to multi-task and context-switch effectively between different activities and teams - Flexible team member - Practical knowledge of Cloud services - Knowledge of relational database concepts - Strong Excel skill set - Familiarity with Agile project management and sprint planning Benefits - Nationwide medical, dental, and vision insurance - 3 weeks of Paid Time Off and 11 Paid Federal Holidays - 401k matching - Life Insurance, Short-Term Disability, and Long-Term Disability at no cost to our employees - Supplemental insurance options - Flexible spending accounts and Dependent Care spending accounts - Wellness incentives - Reimbursement for professional development and certifications - Access to training assistance opportunities to support career growth and progression - Hybrid and Remote work opportunities to support work-life balance

Company: Qualcomm Europe, Inc. Italy Branch Office Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: We are seeking an exceptional Staff Software Engineer to join our ML Platform team. This role is ideal for a highly technical individual contributor who combines deep hands-on expertise with the ability to lead and drive complex projects independently. You will design, build, and optimize large-scale ML and data infrastructure across on-premises NVIDIA DGX clusters and AWS Cloud, enabling advanced training pipelines, robust data workflows, and production-ready ML solutions. Beyond infrastructure, this position requires strong software engineering fundamentals. You will be expected to write high-quality, production-grade code and master common programming languages. The ideal candidate is passionate about building scalable systems and can balance platform engineering with solid software development practices. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. • 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Key Responsibilities - Architect and develop core components of the ML platform and data infrastructure for training, inference, and large-scale data processing. - Design and implement scalable solutions for GPU clusters and distributed data pipelines on-prem and in AWS. - Lead project workstreams, ensuring timely delivery and alignment with platform roadmap; operate independently and drive outcomes end-to-end. - Build and optimize data pipelines for ingestion, transformation, storage, and retrieval supporting ML workflows (batch and streaming). - Write clean, efficient, and maintainable code (services, operators, automation, tooling) in multiple programming languages. - Collaborate with data science and engineering teams to integrate ML and data workflows seamlessly (feature stores, model registries, artifact stores). - Implement CI/CD for ML and data workflows using Argo Workflows, ArgoCD, GitHub Actions; champion testability and reproducibility. - Maintain observability (Prometheus, Grafana) and logging (AWS CloudWatch, ELK/Opensearch); drive SLOs, tracing, and cost-awareness. - Operate AWS services (EKS, EC2, VPC, IAM, S3, EFS, Batch) across hybrid environments; contribute to security and compliance controls. - Continuously improve platform reliability, performance (GPU utilization, throughput), and developer experience; stay current on modern MLOps/Data engineering practices. Minimum Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - 8+ years of software engineering experience, including: - Strong proficiency in Python and at least one of Go, C++, Rust, Bash. - Solid grasp of data structures, algorithms, concurrency, networking, and distributed systems. - Experience with Kubernetes, Helm, Argo Workflows, ArgoCD, Docker. - Ability to pass coding assessments demonstrating problem-solving and clean code practices. - Exposure to AWS (EKS, EC2, VPC, IAM, S3, EFS, Batch) and CI/CD automation. - (Nice-to-have but not required) Hands-on experience with GPU clusters and ML frameworks (TensorFlow, PyTorch). Preferred Qualifications - Proven experience building large-scale data pipelines (batch/streaming), data orchestration, and storage patterns (S3, EFS, parquet/ORC). - Familiarity with observability stacks (Prometheus/Grafana), ELK/Opensearch, and CloudWatch. - Knowledge of ML optimization techniques, GPU memory management, and model deployment at scale. - Experience with security and compliance for ML/data platforms (IAM, policies, isolation). - Prior contributions to platform services (custom controllers/operators, plugins) and developer tooling. - Ability to mentor and influence technical direction while remaining hands-on. What We’re Looking For - A hands-on technical leader who thrives on solving complex, system-level problems and can execute independently. - Excellent communication, cross-functional collaboration, and pragmatic delivery focus. - Passion for building robust, scalable platforms that accelerate ML and data innovation. We will also consider passionate, strong software engineers with excellent fundamentals, even if they lack specific experience in ML platforms or data pipelines. If you demonstrate mastery in core programming, distributed systems, and problem-solving, we’ll support your ramp-up on our stack. *References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

• Define and own the platform architecture elements that enable our AI systems to run reliably inside sensitive customer environments • Design the BYOC deployment model for Archie across customer environments • Build and own Kubernetes-based infrastructure that runs reliably across multiple clouds and customer setups • Create deployment tooling using Helm, GitOps, or similar approaches to make installation and operations repeatable • Implement secure and reliable update mechanisms that work even in restricted or locked-down network environments • Work closely with product, research, and forward-deployed engineers to translate requirements into platform capabilities • Debug and improve production deployments, identifying bottlenecks in performance, reliability, or operability • Establish observability, monitoring, and debugging patterns that give us visibility into distributed systems we don’t fully control

• Design, implement, and operate a unified MLOps platform • Develop reusable CI/CD pipelines for model packaging and testing • Build observability stacks to track performance • Create self-service tooling for data science teams • Collaborate with research engineers to translate prototypes into production services • Drive performance optimization and champion best practices