Production Dx Engineer Jobs

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your Role A Quality Technician in the Receiving and Inspection (R&I) Department performs daily inspections of Active Pharmaceutical Ingredients (API), excipients, film, and various packaging materials to ensure the materials being received are produced in accordance with company methodology, procedures, and standards. R&I Quality Technicians are also responsible for documentation review to ensure compliance with material specifications. *** The candidate must not be allergic to Penicillin or Cephalosporin drugs *** What You'll Be Doing Completes sampling and inspection of all API and excipients used in the formulation of finished product in Round Lake Drug Delivery. Completes sampling and inspection of all printed direction inserts, Labels, Cartons, and other various packaging materials used in Round Lake Drug Delivery. Releases materials for production after quality inspections and/or tests are completed and acceptable. Uses small hand t

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life A career at Medtronic is like no other. We’re purposeful. We’re committed. And we’re driven by our Mission to alleviate pain, restore health and extend life for millions of people worldwide. A Sr. Process Engineer is responsible for developing, optimizing, and maintaining manufacturing processes to ensure efficient, safe, and high‑quality production. This role focuses on improving process performance, reducing waste, and supporting continuous improvement initiatives across manufacturing operations. Key responsibilities typically include analyzing production workflows, implementing process improvements, troubleshooting manufacturing issues, and collaborating with cross‑functional teams such as quality, operations, and supply chain. The engineer also develops process documentation, validates new equipment or processes, and ensures compliance with regulatory and safety standards. The position requires strong analytical and problem‑solving skills, knowledge of manufacturing methods and quality systems, and the ability to use data to drive operational improvements. Manufacturing Process Engineers play a critical role in increasing productivity, maintaining product quality, and supporting scalable manufacturing operations. Responsibilities may include the following and other duties may be assigned. Provides technical and sustaining en

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Software Engineer / Technical Lead (AI & Automation) will provide technical leadership for the design, development, modernization, and support of critical applications supporting Prior Authorization Operations (PAOps) under PBM line of business. This role will be responsible for building and maintaining scalable, cloud-native solutions that enable intelligent workflow automation, AI-driven decisioning, document processing, and business process optimization. The ideal candidate is a hands-on technical leader with strong software engineering and cloud architecture expertise, coupled with practical experience implementing Generative AI, Agentic AI, and Large Language Model (LLM) solutions in production environments. This individual will collaborate closely with Data Engineering, Data Science, Product, and Business teams to deliver highly available, secure, and scalable applications while driving innovation through AI-powered solutions. Key areas of focus include: Application architecture, development, and production support Cloud-native engineering and platform modernization Microservices and distributed systems AI/GenAI, Agentic AI, and LLM-based solutions Event-driven and streaming architectures Engineering best practices, mentoring, and technical leadership R

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Manager of AI Engineering is responsible for establishing and leading the organization's AI engineering capabilities, driving the design, development, and operationalization of enterprise-scale AI and Generative AI solutions. This leader combines deep technical expertise with strong people leadership to build high-performing engineering teams, define architectural standards, and accelerate the delivery of secure, scalable, and compliant AI platforms. The ideal candidate is an experienced technical leader who remains hands-on with modern AI technologies, cloud-native architectures, agentic frameworks, and production AI systems. This individual will serve as the organization's technical authority for AI engineering, partnering with business and technology leaders to transform strategic opportunities into measurable business outcomes. Primary Job Duties & Responsibilities Organizational & Technical Leadership Build, lead, mentor, and develop a high-performing team of AI and software engineers while fostering a culture of innovation, accountability, and continuous learning. Establish the technical vision, engineering standards, and architectural roadmap for enterprise AI platforms and solutions. Serve as the senior technical leader for AI initiatives, providin

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. What this job involves: As an Operating/Building Engineer with a primary focus on HVAC and mechanical systems, you'll play a critical role in keeping our industrial manufacturing facility's environmental control and building systems running at peak performance during overnight hours. This position centers on operating, maintaining, troubleshooting, and repairing HVAC equipment and facility systems that support production operations, including large-capacity chillers, boilers, process cooling systems, air handlers, exhaust ventilation, compressed air systems, and related Mechanical, Electrical, Plumbing, Fire, and Life Safety systems. You'll manage complex HVAC and industrial utility systems that directly impact production continuity, diagnose and resolve system issues as they arise, and ensure optimal environmental conditions while manufacturing operations continue seamlessly. At JLL, we are collectively shaping a brighter way for our clients, ourselves, and our fellow employees, and your HVAC and industrial systems expertise will be essential to delivering the reliable, efficient facility operations our manufacturing clients depend on. What your day-to

Job Requisition ID # 26WD97978 Position Overview The DFA Applied AI team at Autodesk builds intelligent, AI-powered solutions that enable users to discover, access, manage, and collaborate on design and manufacturing data through natural language and intuitive user experiences. Our work combines LLM-powered agents, scalable backend services, and reusable UI components to deliver seamless, connected workflows across Autodesk products and data sources. Responsibilities Lead the architecture, design, and delivery of full-stack AI-powered solutions, from backend agent services to React/TypeScript user experiences. Design and develop LLM-powered agents, including tool calling, orchestration, streaming responses, and multi-turn conversational workflows. Build scalable backend services, APIs, and integrations that enable secure access to design and manufacturing data. Develop reusable React/TypeScript components and intuitive user experiences for AI-powered and data access workflows. Drive technical decisions across agent architecture, LLM integration, backend services, and cloud infrastructure. Ensure production readiness through robust testing, security, performance, reliability, and observability. Mentor engineers, establish engineering best practices, and own features from design through production. Minimum Qualifications 10+ years of software engineering experience building and delivering large-scale production systems. Hands-on experience with LLM application patterns, including tool use, streaming responses, multi-turn conversations, and context/session ma

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Software Engineer, Enterprise Apps on the CX Shared Agent Platforms and SFDC Solutions team within Coinbase's Enterprise Applications and Architecture org, you'll build the platforms and services that power customer experience and compliance operations across Coinbase. This team develops scalable internal tools, agent workflows, and integrations that help CX agents resolve customer issues and manage KYC and compliance processes with greater speed and accuracy. You'll own full-stack development of services and applications that directly improve agent productivity and customer satisfaction at scale. What you'll do: Build and ship full-stack services and applications using Golang, gRPC, TypeScript, and React to support CX agent workflows and automation. Own the design, implementation, and integration of third-party platforms (Salesforce, Maestro QA, Assembled) that extend Coinbase's internal CX tooling capabilities. Drive platform modernization efforts, including support for strategic platform transitions and evolving the agent platform landscape. Partner with product, design, security, and data teams to deliver cross-functional solutions to complex operational and compliance challenges. Lead code reviews, architecture discussions, and testing practices that raise the quality bar across the team and support reliable, high-traffic production systems. Identify and mi

Accelerate modern data platform delivery by building secure, automated, and scalable DevOps solutions. Join Capco to help transform enterprise data and analytics through cloud-native engineering and continuous delivery. The Role We're seeking a DevOps Engineer with strong Azure cloud and DevOps expertise to support the delivery of enterprise data and analytics platforms. In this role, you'll design and maintain CI/CD pipelines, automate infrastructure and application deployments, and help ensure secure, reliable, and efficient delivery across Azure-based data environments. We're open to contracting or full-time for the right candidate. Working alongside architects, developers, and platform engineers, you'll drive automation, improve operational excellence, and enable faster delivery of high-quality solutions for our clients. What You'll Do Design, implement, and maintain Azure DevOps CI/CD pipelines supporting enterprise data and analytics platforms. Automate the deployment of Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Power BI assets across development, test, and production environments. Configure and manage Azure environments, release pipelines, infrastructure, security controls, secrets management, and identity access. Implement infrastructure as code, monitoring, logging, and deployment automation to improve platform reliability and operational efficiency. Collaborate with cross-functional delivery teams to continuously enhance deployment processes, automation, and DevOps best practices. What We're Looking For Proven experience (5+ years) as a DevOps Engineer supporting Azure cloud environments and enterprise data platforms. Strong expertise designing and maintaining Azure DevOps CI/CD pipelines, release management, and environment configuration. Hands-on experience with Infrastructure as Code using Bicep or ARM Templates, along with PowerShell and/or Python scripting. Experience with Git version control, Azure security,

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Controller is the critical link between Nuro Driver's upstream autonomy stack and physical vehicle platform — translating planned trajectories into safe, precise, real-world motions. As a Senior/Staff Controls Engineer, you'll design and deploy production controls software that powers L4 autonomous driving across an expanding operational design domain, from parking lots to highways, in all weather and road conditions. You'll work alongside world-class engineers across autonomy, hardware, and systems to solve problems that don't have textbook answers and see your work running on real vehicles globally. About the Work Develop robust, reliable and optimized production-level control software following safety standards (ISO 26262). Develop seamless interactions between planner and controller and advanced control strategies for expanded ODD including parking lot maneuvers through highway driving under various weather condi

Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance. Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make. As a Digital Account Specialist at Pie, you will take full ownership of managing and growing a partner portfolio (200:1). Your role involves driving proactive business development, autonomously addressing client needs, and meeting performance quotas. You will represent Pie with professionalism and make strategic decisions to enhance client relationships and achieve organizational goals. How You’ll Do It Maintain service communication and drive outcomes with existing partners: Build and engage with outside agency partnerships to increase engagement in the form of submissions, binds, and bound premium Work with partner CSRs, producers, and principals to influence production Represent Pie in meetings with partners, seminars, trade shows, and networking events including managing interdepartmental involvement to maximize the opportunities further Build, develop, and manage relationships with retail partners to drive profitable premium Consistent and regular meetings with various levels of the agency - Producers and CSRs Use reporting and analytics to identify state and partner trends to create strategy to influence a large cohort of partners. Collaborate cross functionally to develop and execute best practices, process improvements, and strategic initiatives designed to benefit both partners and Pie-oneers (work hand in hand with Strategic Account Managers) Tracking, reporting, and executing to performance metrics and industry trends: Maintain and monitor industry insights, trends, or customer preferences to determine focus of sales efforts and busine

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. Staff Product Manager, AI Platform Adoption & Growth As we continue to scale our global platform, the Staff Product Manager, AI Platform Adoption & Growth will play a critical role in driving adoption and business impact of Fanatics Commerce's AI platform. ROLE OVERVIEW Fanatics Commerce is building an AI platform that makes it easier for teams to build, deploy, and scale AI-powered agents and tools across the organization. The Staff Product Manager, AI Platform Adoption & Growth owns the adoption and growth of that platform, identifying where teams struggle, removing friction from onboarding through production, and turning recurring customer needs into platform improvements. This role partners with business and technology teams, fellow AI platform PMs, and engineering leaders so that customer demand and adoption data shape the platform roadmap. The Staff Product Manager, AI Platform Adoption & Growth delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. HOW WILL YOU DRIVE IMPACT Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes. Team & Leadership Impact (Build Champions

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for an Engineering Manager to lead a product engineering team at ClickUp. This is an open team placement role: you'll join a product team based on your strengths and our business priorities, rather than being hired into a single predefined product area. Across teams, the mandate is the same: build a strong team, ship useful product improvements, and take ownership of the quality and reliability of what you deliver. Engineering Managers at ClickUp are hands-on. You'll lead from the front: reading and reviewing code daily, debugging production issues alongside your team, prototyping when it unblocks a decision, and shipping code yourself when the team needs it. Your technical credibility is how you earn trust, set the bar, and make good calls quickly. You'll also own people management, delivery, and team execution. Working closely with product, design, and technical leads, you'll turn customer problems into clear priorities and achievable milestones. You'll develop engineers, make trade-offs explicit, and keep work moving without letting quality or maintainability become someone else's problem. You'll also run an AI-native team . We structure work so AI agents can read it, route it, roll it up, and report on it. Progress and team health should be visible from real signals, with reporting available self-serve rather than dependent on status meetings. We want a manager who has used AI to remove busywork and improve how a team builds, and who can help engineers use it responsibly across planning, implementation, testing, and operations. Responsibilities Lead and develop a product engineering t

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission: Zocdoc is looking for a Senior Site Reliability Engineer to make our distributed production systems more observable, reliable, and safe to change. Our platform connects patients, providers, and many interconnected services and integrations, so reliability depends on understanding the full path of a request—not just whether an individual service is running. You’ll help build the observability foundations, automation, and engineering practices that allow Zocdoc to move quickly without sacrificing safety. You’ll work across cloud infrastructure, microservices, APIs, and integration points in AWS, partnering closely with product engineering teams to identify risks, improve operational visibility, and make the right behavior easier to build and operate. You’ll enjoy this role if you are… Passionate about observability and believe that teams can’t reliably operate what they can’t see Experienced in integration-rich environments where APIs, third-party dependencies, asynchronous workflows, and distributed services create complex failure mode

About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Software Engineers, Machine Learning to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers. About the Role As a Software Engineer, Machine Learning, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams. This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will... Develop advanced machine learning models to improve ads efficiency and quality. Design and build optimization algorithms for budget pacing and automated bidding to achieve various advertising goals. Establish a data-driven framework to understand how the bid density and market competitiveness would affect advertising value and platform revenue. Develop new data solutions (eg. embeddings and consumer profiles) to target the relevant audience. Be responsible for the end-to-end ML lifecycle, including ideation, offline model training, online shadowing/deployment, experimentation, and post-launch monitoring/measurement. Build and extend the current data/ML infrastructure to empower Ads data applications including data analysis, ML modeling, and experimentati

About the Team Agentic Foundations, part of New Verticals ML, builds the core AI/ML intelligence that powers high-quality, scalable agents at DoorDash, and proves it through flagship agent experiences such as the Ask grocery assistant. We operate as a closed loop: new models, evals, and representations make our agents better, and real-world agent usage surfaces the gaps that drive our next foundations work. About the Role We’re looking for a Senior Machine Learning Engineer to join Agentic Foundations with a primary focus on Vertical Agent Development. You will own the continuous improvement of our flagship agents, starting with the Ask Assistant, using an eval-driven loop to make them faster, more cost-efficient, and more reliable for millions of customers. You will also help us bring this approach to new agentic experiences for Merchants and Dashers, turning promising ideas into production-ready agents. This is a chance to work at the intersection of LLMs, agents, post-training, and evals on problems that ship. You will partner closely with engineers working on agentic memory, agent-compatible product representations, and post-training of small language models (SLMs), so that what we learn from production agents feeds directly back into our foundations, and what we build there makes our agents better. You will report into the engineering lead on our New Verticals AI/ML team. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Raise the quality of our Consumer agents: build and refine our eval harness-optimization loop to pinpoint failure modes, then iterate on prompts, tools, skills, and context, and measure the impact on real customer tasks. Find the best balance of quality, latency, and cost: run rigorous experiments, including fine-tuning open-weights models and deploying small language models (SLMs) where they can replace or augment larger LLMs. Launch new agents: take ag