Engineering Specialist, R&D SW

Baxter Raleigh, North Carolina Updated 22 September 2026
PharmaMedTechRegulatory AffairsQuality Assurancesasemacroraveinformazure

Job description

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 at Baxter Provides enterprise-level technical leadership for cloud shared services and related connected-care ecosystems. Collaborates with engineering, product, and business leaders to shape long-term architectural strategy, establish technical standards, and guide the evolution of secure, cloud-native services that support multiple products, regions, and business domains. Serves as a senior technical leader for distributed systems, GraphQL and API architecture, multi-region cloud strategy, service interoperability, scalability, security, resiliency, observability, SOC 2 readiness, and operational excellence. Partners closely with executive leadership, product management, cybersecurity, quality, regulatory, operations, and engineering teams to align technology investments, architectural decisions, and platform capabilities with business objectives and sustained growth. What You'll Do Define and drive the long-term architecture vision, technical roadmap, governance standards, and cloud-native platform strategy for CSA in partnership with engineering and business stakeholders. Collaborate with architects, engineering leaders, and cross-functional teams to guide enterprise-wide architectural decisions across products, services, and engineering organizations. Lead the design and governance of scalable service, API, and integration architectures across GraphQL, REST, event-driven systems, and microservices, building alignment around architectural best practices. Partner with engineering and operations teams to establish and evolve multi-region cloud strategies that support high availability, resiliency, disaster recovery, scalability, data residency, and operational readiness. Champion modernization initiatives across Kubernetes, platform engineering, Infrastructure as Code, automated delivery pipelines, event streaming, and cloud-native technologies. Collaborate with cybersecurity, quality, regulatory, and engineering teams to define and implement security and compliance architecture standards, including SOC 2 readiness, identity and access management, encryption, secure software supply chains, and healthcare data protection requirements. Facilitate architecture governance through reviews, standards, reference patterns, technical decision frameworks, and proactive management of architectural risk and technical debt. Influence executive stakeholders, mentor senior technical leaders, and partner across engineering, product, security, quality, regulatory, audit, and operations teams to advance organizational architecture maturity, innovation, and technical excellence. What You'll Bring 18+ years of progressive software engineering experience with deep expertise in enterprise architecture, technical leadership, cloud-native platforms, distributed systems, microservices, and mission-critical service architectures. Proven experience designing and governing scalable API ecosystems, including GraphQL, REST, event-driven architectures, schema management, federation/composition, authorization, observability, and production operations. Strong expertise defining and implementing multi-region cloud strategies, including resiliency, disaster recovery, failover, traffic routing, replication, data residency, capacity planning, and cost optimization. Expert-level proficiency with Node.js, .NET, APIs, containers, Kubernetes, event-driven systems, and modern cloud engineering and platform modernization practices. Deep experience with Azure or other hyperscale cloud environments, including networking, identity and access management, platform operations, security, and Infrastructure as Code (Terraform, OpenTofu, or similar). Demonstrated expertise in SOC 2 compliance, DevSecOps, SRE, observability, API governance, secure software supply chains, audit readiness, and regulated software development practices. Proven ability to influence executive stakeholders, lead enterprise-wide architecture transformations, communicate complex technical concepts to diverse audiences, and drive strategic decisions across cross-functional organizations. Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related field (advanced degree preferred), with experience in healthcare technology, medical devices, connected-care platforms, or other highly regulated industries strongly preferred. Baxter is committed to supporting the needs for flexibility in the workplace. We do so through our flexible workplace policy which includes a required minimum number of days a week onsite. This policy provides the benefits of connecting and collaborating in-person in support of our Mission. The flexible workplace policy is subject to local laws and legal requirements. At its discretion, Baxter may decide to adjust, suspend, or discontinue as business needs change. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $152,000-$209,000 annually. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon m

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