We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains. Blue River Technology aligns with John Deere’s vision to “innovate on behalf of humanity” by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction. Summary We are seeking a Senior CVML Platform Engineer to help design, build, and evolve the platforms that support computer vision and ML workloads at scale. This role focuses on enabling ML teams through well-designed infrastructure, tooling, and workflows, rather than developing models or conducting ML research. The ideal candidate brings strong technical judgment, is comfortable navigating existing and evolving platforms, and can incrementally improve systems while maintaining reliability. We strongly prefer engineers with a DevOps or platform engineering background who have moved into ML-adjacent systems and are motivated by building durable foundations that other teams rely on. This role requires both hands-on engineering and the ability to influence platform direction through collaboration and thoughtful design. - Employment Type: Full-Time - Work Location: Remote in the United States - Visa sponsorship will be considered on a case-by-case basis. Job Responsibilities A combination, not necessarily all-inclusive, of the following: - Platform Development & Ownership - Design, build, and evolve platform capabilities that support ML training, batch inference, and model deployment workflows at scale. - Own and improve core platform components (e.g., compute orchestration, data pipelines, inference systems) used by multiple teams across Blue River and John Deere. - Continuously enhance platform reliability, scalability, and performance, with a focus on real-world ML workloads. - ML Systems Enablement - Enable ML engineers to move faster by building intuitive, well-documented platform tools and workflows across the model lifecycle (experimentation, deployment, and iteration). - Improve model inference performance and throughput while balancing trade-offs among cost, latency, and reliability. - Support and scale distributed training and inference systems, including frameworks such as Ray and related tooling. - Infrastructure & Compute Systems - Develop and optimize hybrid compute environments (cloud + on-prem/GPU infrastructure) to support large-scale ML workloads. - Build and maintain infrastructure leveraging Kubernetes, Slurm, and cloud platforms (AWS preferred). - Identify and resolve bottlenecks in compute, storage, and data movement pipelines. - System Evolution & Technical Judgment - Evaluate existing platform systems and make thoughtful decisions on when to extend, refactor, or rebuild components. - Drive improvements in system architecture, balancing short-term delivery with long-term platform health. - Contribute to shaping the platform roadmap and technical direction in response to evolving business and ML needs. - Cross-Functional Collaboration - Partner closely with ML engineers, robotics teams, infrastructure teams, and product stakeholders to translate requirements into scalable platform solutions. - Act as a technical bridge between teams, ensuring platform capabilities align with real-world use cases and constraints. - Influence platform adoption and best practices across multiple teams. - Testing, Simulation & Validation - Support platform capabilities that enable simulation-based testing and validation of ML systems, including synthetic data workflows. - Improve tooling that allows teams to test and validate models before production deployment. - Technical Leadership - Provide technical guidance and mentorship to junior engineers on platform and systems design. - Lead implementation efforts for key platform initiatives and ensure high-quality execution. - Demonstrate strong ownership and accountability for delivering impactful platform improvements. Required Experience and Skills - 5+ years of professional engineering experience, with a focus on platform, infrastructure, or systems engineering. - Strong technical judgment, balancing the evolution of legacy platforms with the design and delivery of new, greenfield components shared across multiple teams and workloads. - Excellent Python skills, used in production systems, tooling, and platform components. - Solid understanding of ML systems and the end-to-end model development lifecycle, from experimentation to deployment and iteration. - Hands-on experience or strong familiarity with cloud platforms (AWS preferred) and container orchestration systems such as Kubernetes and Slurm. - Ability to partner effectively with ML engineers, infra teams, and product stakeholders to translate requirements into platform capabilities. - Ability to quickly ramp up on new domains, tools, and complex existing systems. Preferred Experience and Skills - Golang experience, particularly for platform or infrastructure components. - Experience building or integrating ML pipelines using tools such as Kubeflow and/or Airflow. - Understanding of model inference architectures, including performance, scalability, reliability, and cost considerations. - Experience enabling distributed training and inference through platforms and frameworks such as Ray. - Experience supporting ML systems in computer vision or robotics environments. Only individual applicants will be considered. We do not work with unsolicited third-party agencies or proxy interview services. At Blue River, we’re passionate about creating an inclusive workplace that promotes and values diversity. While we have more work to do to advance diversity and inclusion, we’re investing in our programs, including recruiting, mentorship, career development, and learning & development to ensure they support our Diversity, Equity, and Inclusion goals. We support each employee in living a full life, enabling a thriving career, and accomplishing a meaningful, challenging mission while collaborating with incredible people. We are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anyway. We are an equal-opportunity employer and do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation. The US annual base salary range for this position is $160,000 - $287,000, along with eligibility for Blue River’s bonus and benefit programs. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. During the recruitment process, we may identify an alternative role or level to which you are more suited. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process. #LI-AN1

• Operar, mantener, gestionar, mejorar y hacer cumplir los servicios On-Prem Cloud IaaS para garantizar servicio y disponibilidad. • Participar en la rotación de guardia para proporcionar el soporte L2 y mantener la alta disponibilidad de las Plataformas en la Nube. • Revisar diariamente la lista de tickets asignados a él/ella y asegurar que se resuelvan a tiempo y con la calidad correcta. • También, identificar cualquier ticket mal asignado que no esté relacionado con actividades de Operaciones de la Plataforma en la Nube y escalarlo al líder para asegurar que se transfieran al equipo de Entrega de Servicio en la Nube según sea necesario. • Cuando se asigna un ticket, el Ingeniero de la Plataforma de Nube es responsable de la investigación, configuración y seguimiento hasta el cierre completo del ticket en el sistema Service Now. • Comunicar el estado de incidentes y tickets asignados a él/ella. • Asegurar que toda la información relacionada con cualquier incidente o solicitud esté bien documentada en un repositorio compartido de conocimientos al que pueda acceder todo el equipo e2e de Nube. • Monitorear el cumplimiento de la seguridad de acuerdo con los estándares, políticas y procedimientos.

Title: Sr Platform Engineer - Shields Location: Rochester, Minnesota, United States, Remote Full Time Mayo Clinic Platform Remote: Yes Job Description: Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Responsibilities Reporting to the Sr. Director Shields Enablement - Innovate at Mayo Clinic Platform, the Senior Platform Engineer -Shields Enablement leverages key functionality around interoperability and solution / ai model enablement to allow for fluid utilization of the Mayo Clinic Platform. In addition, they will direct other engineers from Mayo Clinic and/or 3rd parties to develop and deploy digital solutions within Mayo Clinic's systems. The Sr. Platform Engineer will support the direct execution and delivery of all technical aspects of Mayo Clinic Platform's technology roadmap within Mayo Clinic. The Senior Platform Engineer will also serve as a technical liaison with other functions within the enterprise. The position will be responsible for the following essential functions: - Applies the principles of well-architected frameworks to the design and deployment of key foundational functions within Mayo Clinic Platform. - Design, develop, and maintain healthcare interoperability solutions that enable the secure and efficient exchange of healthcare data between systems and applications. - Collaborate with cross-functional teams to gather and analyze requirements, and translate them into technical specifications and architectural designs. - Implement robust and scalable backend solutions using Java and/or .NET, ensuring data integrity, security, and compliance with healthcare standards such as HL7 and FHIR. - Develop and maintain front-end applications using React to provide user-friendly interfaces for healthcare professionals and patients. - Integrate third-party healthcare systems, APIs, and data sources into our platform, ensuring seamless interoperability. - Work closely with cloud architects to deploy and manage healthcare solutions on the Google Cloud Platform (GCP). - Implement and maintain DevOps practices, including CI/CD pipelines, to automate deployment and ensure high availability and performance of healthcare applications. - Collaborate with data engineers to manage and analyze healthcare data, extracting valuable insights to drive healthcare decision-making. - Stay current with industry trends and emerging technologies in healthcare interoperability, Java, .NET, React, and GCP. - Works closely with the product and solutions team to understand opportunities and assist with the integration to the platform as well as develop repeatable mechanisms such that single-use integrations are minimized. - Partners with the solutions and implementation/support team to design, develop and deploy management and support tooling for all aspects of the platform's operations. This may include things like monitoring/surveillance tools, access and utilization logging. - Assists in the development and may oversee the Mayo Clinic Shield Enablement team's compliance with SLAs or OLAs in partnership with the implementation/services team. - Supports and advises the execution of the Mayo Clinic Platform Technical roadmap. - Acts as a mentor and coach for other technical team members within Mayo Clinic Platform, supporting technical growth and systems based thinking. - In collaboration with the Mayo Clinic Platform product team, defines and implements proper Software Development Life Cycle (SDLC) processes in sync with Product Development Life Cycle (PDLC) processes. The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added or assigned. Qualifications - Bachelor's degree in a relevant information technology field or a minimum 7 years of direct full-stack engineering with increasing complexity. - 3-5 years working in diverse environments utilizing Agile principles of software development. - Proven experience as a Full Stack Engineer with a strong emphasis on healthcare interoperability. - Proficiency in Java and/or .NET for backend development, including API / service design and implementation. - Expertise in Javascript with a focus on React and react frameworks (e.g. NextJS) for building responsive and intuitive front-end applications. - Hands-on experience with Google Cloud Platform (GCP) (or equivalent) services and cloud-native application development. - Familiarity with healthcare interoperability standards such as HL7, FHIR and OMOP. - Strong problem-solving skills and the ability to work in a collaborative, cross-functional team environment. - Experience with DevOps practices, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes) is a plus. - Knowledge of healthcare data security and compliance requirements, including HIPAA, is highly desirable. - Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders. - A proactive and self-driven mindset with a passion for staying up to date with emerging technologies and industry best practices. Additional Experience and/or Qualifications: - Experience with Interoperability standards such as HL7, FHIR and OMOP. - Experience with solutions integration/delivery in a healthcare setting. Desired Characteristics: - Experience in driving and leading technology development and technical capability to guide strategically and manage resources. - Experience with technology change management specifically around SDLC end of life and feature migration processes. - Business acumen, to gauge not just what can be done but to know what can be completed cost effectively and sustainably. - This person must have the ability to promote and explain technology initiatives to business leaders outside of the technology organization and to external partners and customers. - The selected individual must combine a solid technical foundation with forward-looking strategic skills to help develop a Platform strategy to enable Mayo Clinic to capitalize on emerging technologies. - Ability to think beyond the technology itself and will understand key business drivers that ensure technology investment will provide substantial value or improvements to customers. Exemption Status Exempt Compensation Detail $127,900 - $185,500 / year Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday - Friday, Business Hours 100% Remote. 10%+ travel This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program. Weekend Schedule Not Applicable International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Recruiter Julie Melton

• Develop and execute a comprehensive platform engineering strategy aligned with business goals. • Serve as the internal "Product Owner" for the platform, focusing on enhancing the developer experience through tooling and automation. • Define the technical vision and oversee the design/architecture of scalable, secure platform components and services. • Identify, prioritize, and drive platform features and enhancements based on internal customer needs and data. • Stay current with emerging technologies and evaluate their potential impact and value to the platform. • Collaborate with engineering and product leaders to define technical initiatives and ensure cross-functional alignment. • Communicate platform strategy, progress, and outcomes to executive leadership and stakeholders. • Drive continuous improvement in platform engineering processes and foster a collaborative culture. • Ensure the consistent application of engineering best practices, coding standards, and quality assurance. • Monitor platform performance, reliability, and scalability, proactively addressing challenges.