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Solutions Engineering Lead - Hybrid Cloud/Full Stack

Morristown, New Jersey Regular Posté le   Jul. 17, 2026 Expire le   Aug. 15, 2026 Salary Range   USD 187,500.00 - 270,833.33
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Job Title: Solutions Engineering Lead

Location: Morristown, NJ

About the Job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

Join Sanofi as our Lead Solutions Engineer to shape the future of pharmaceutical technology. Reporting to the Head of Solutions Engineering, you will serve as the technical lead for our Solutions Engineering practice and collaborate with Strategic Architecture and digital partners to drive Sanofi’s transformation into an AI-powered biopharmaceutical company.

This is a full-stack engineering role that combines hands-on expertise in cloud, DevOps, containers, and AI infrastructure with strategic vision-setting. You will lead solution design discussions with Digital R&D, Manufacturing, and corporate teams, and establish technical patterns and standards to guide our global technology evolution.

*This is a hybrid role with 3 days a week onsite in Morristown. *

About Sanofi:

 We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve lives.

Main Responsibilities

Hands-On Technical Implementation

Cloud-Native Architecture & Implementation:

  • Design and implement hybrid cloud solutions on AWS and Azure for pharmaceutical workloads.

  • Architect containerized applications using Kubernetes (EKS/AKS) with enterprise-grade reliability.

  • Build Infrastructure as Code (Terraform, CloudFormation) for rapid, consistent deployments.

  • Implement cloud-native patterns (microservices, serverless, and event-driven) that support pharmaceutical compliance.

AI/ML Infrastructure Deployment:

  • Deploy and optimize AI/ML infrastructure supporting drug discovery and manufacturing automation.

  • Implement AIOps platforms for intelligent infrastructure monitoring and automated operations.

  • Build data pipelines and model serving infrastructure for pharmaceutical AI applications.

  • Design GPU-optimized clusters and distributed computing environments for machine learning workloads.

DevOps & Automation Excellence:

  • Implement CI/CD pipelines with automated testing, security scanning, and compliance validation.

  • Design observability platforms that provide comprehensive monitoring, logging, and alerting.

  • Build self-service automation enabling digital teams to deploy infrastructure safely and rapidly.

  • Establish GitOps practices and automated rollback mechanisms for pharmaceutical production systems.

Hybrid Infrastructure Integration:

  • Design seamless integrations between on-premises pharmaceutical systems and cloud platforms.

  • Build disaster recovery and business continuity solutions meeting pharmaceutical regulatory requirements.

  • Optimize hybrid cloud costs through FinOps practices and automated resource management.

Lead Strategic Technology Vision

Digital Partner Solution Design:

  • Lead technical architecture discussions with Digital R&D, Manufacturing, and Corporate peer organizations.

  • Provide consultative guidance on cloud, AI, and infrastructure strategies for critical pharmaceutical initiatives.

  • Co-design enterprise solutions that balance innovation speed with GxP compliance requirements.

  • Translate business challenges into technical solutions aligned with Sanofi’s AI transformation roadmap.

Architecture Partnership & Governance:

  • Work closely with Enterprise Architecture on strategic technology initiatives and standards development.

  • Provide solution-level architectural decisions in line with enterprise architectural standards.

  • Contribute to architectural decision frameworks for cloud, AI, and infrastructure domains.

  • Aligning foundational technology capabilities with digital innovation requirements across the organization.

Solutions Engineering Practice Development:

  • Define technical patterns, standards, and best practices for the emerging Solutions Engineering team.

  • Establish solution design methodologies that balance pharmaceutical compliance with innovation speed.

  • Participate in hiring and developing additional Solutions Engineers across specialized domains.

  • Create technical documentation, reference architecture, and implementation guides.

AIOps & Intelligent Operations Leadership

  • Design and promote AIOps capabilities for infrastructure and DevOps automation.

  • Oversee implementation of intelligent monitoring, predictive analytics, and automated remediation. Collaborate with the agentic AI core team to integrate AI-powered operations into the pharmaceutical technology stack.

  • Drive adoption of ML-powered capacity planning, anomaly detection, and self-healing systems.

About You

Basic Qualifications

  • Bachelor’s degree in computer science, Engineering, Information Technology, or related technical field - required. Master's - preferred.

  • 10+ years of Progressive cloud and infrastructure engineering experience - required.

  • AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty

  • Azure certifications: Solutions Architect Expert, DevOps Engineer Expert, AI Engineer Associate

  • Kubernetes certifications: CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer)

  • Additional relevant certifications: Terraform Associate, TOGAF, ITIL, Agile/DevOps

  • Reporting to the Head of Solutions Engineering (Technology Principal)

  • Travel required for digital partner engagement and strategic initiatives.

Cloud & Infrastructure Expertise:

  • 10+ years in enterprise infrastructure and cloud engineering roles with increasing technical leadership

  • Deep expertise in AWS and Azure with production-scale implementations

  • Advanced Kubernetes experience, including EKS/AKS in enterprise pharmaceutical or regulated environments.

  • Hybrid cloud architecture integrating on-premises systems with cloud-native applications.

  • Infrastructure fundamentals, including networking, storage, compute, and security at enterprise scale.

DevOps & Automation Mastery:

  • Infrastructure as Code experience with Terraform, CloudFormation, or equivalent tools at scale.

  • CI/CD pipeline design, including automated testing, security scanning, and compliance validation.

  • Container orchestration with production Kubernetes implementations and cloud-native patterns

  • Observability platform experience, including monitoring, logging, alerting, and distributed tracing.

Strategic & Consultative Leadership:

  • Cross-functional collaboration guiding technical decisions across diverse business and technology teams.

  • Standards development, creating technical patterns, and best practices adopted across organizations.

  • Stakeholder communication, translating technical concepts for business leaders and non-technical audiences.

Highly Valued Experience:

  • Hands-on AI/ML infrastructure deployment, including model serving, training clusters, and data pipelines.

  • AIOps implementation experience on AWS (CloudWatch Insights, Systems Manager, DevOps Guru, or equivalent)

  • ML platform operations with experience in SageMaker, Azure ML, or similar enterprise ML platforms

  • Intelligent automation, including predictive analytics, anomaly detection, and automated remediation.

  • Pharmaceutical or life sciences technology implementation with GxP compliance understanding

  • Regulated industry background (healthcare, financial services, government) with validation experience

  • Large-scale digital transformations in organizations with 10,000+ users

  • Multi-cloud governance and FinOps implementation with measurable cost optimization outcomes

  • Site Reliability Engineering practices, including error budgets, SLOs, and incident management.

  • Technical team leadership, including hiring, mentoring, and developing engineering talent.

  • Open-source contributions to cloud-native, Kubernetes, or AI/ML infrastructure projects

  • Enterprise SDLC Implementation

  • Cybersecurity expertise including code security and infrastructure hardening

Technical Leadership:

  • Lead complex technical discussions with confidence and credibility across diverse stakeholder groups.

  • Challenge technical assumptions constructively while respecting domain expertise.

  • Balance innovation adoption with operational stability and pharmaceutical compliance.

  •  Make sound architectural decisions in the face of ambiguity and incomplete information.

Strategic Thinking:

  • Connect technical solutions to pharmaceutical business outcomes and patient impact.

  • Anticipate future technology trends and proactively prepare infrastructure capabilities.

  • Design solutions that scale globally across diverse regulatory environments

  • Balance short-term delivery needs with long-term architectural vision.

Collaborative Influence:

  • Build trust and credibility with digital peer organizations through consistent delivery.

  • Navigate matrix organizations and drive consensus without formal authority.

  • Partner effectively with Enterprise Architecture while maintaining a solutions delivery focus.

  • Mentor and develop engineering talent through technical guidance and knowledge sharing.

Communication Excellence:

  • Articulate complex technical architectures clearly for both technical and business audiences.

  • Create compelling technical documentation, reference architectures, and implementation guides.

  • Present technical vision and strategy to C-level executives and senior leadership

  • Facilitate productive technical discussions across distributed, global teams.

Why Is This Role Unique?

  • Foundational Impact : You are not joining an established team; you will be one of the first on a team tasked to build out the Solutions Engineering practice. Define standards, establish patterns, and create methodologies that will guide Sanofi’s technology transformation for years to come.

  • Strategic Influence : Lead solution design with digital peer organizations supporting drug discovery, manufacturing automation, and regulatory compliance. Your technical decisions directly impact pharmaceutical innovation timelines and patient outcomes.

  • AI Transformation Leadership :Work at the intersection of cloud infrastructure and AI-powered operations. Design AIOps platforms that revolutionize how pharmaceutical technology operates while supporting our agentic AI transformation initiatives.

  • Technical & Strategic Balance: This role is both hands-on and strategic. Spend 50% of your time building and implementing solutions, and 50% shaping technical vision and guiding digital partner organizations.

  • Architecture Partnership : Work directly with Enterprise Architecture on strategic initiatives while maintaining a solutions delivery focus to accelerate pharmaceutical innovation. Connect enterprise standards with practical implementation.

Why Choose Us?

  • Bring the miracles of science to life alongside a supportive, future-focused team.

  • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

  • Make your work count by supporting a company that brings life-changing treatments to millions — and is committed to doing right by patients, communities, and the planet.

  • Drive progress from within by helping simplify, scale, and modernize how a global biopharma business delivers smarter, faster, and more sustainably

  • Support teams across science, medicine, and operations by building better systems, shaping bold strategies, and enabling innovation at speed

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toujours Progresser. Découvrir l’Extraordinaire.

Rejoignez Sanofi et entrez dans une nouvelle ère de la science – où votre parcours peut être aussi transformateur que le travail que nous accomplissons. Nous investissons en vous pour que vous alliez plus loin, accélériez votre réflexion et accomplissiez ce qui n’a jamais été fait auparavant. Vous contribuerez à repousser les limites, à bousculer les conventions et à concevoir des solutions plus intelligentes pour les communautés que nous servons. Prêt·e à poursuivre les miracles de la science et à améliorer la vie des gens ? Poursuivons le progrès et découvrons l’extraordinaire – ensemble.

Chez Sanofi, nous croyons dans l’égalité des chances, sans distinction de race, de couleur, d’ascendance, de religion, de sexe, d’origine, d’orientation sexuelle, d’âge, de citoyenneté, d’état civil, de handicap, d’identité de genre ou de tout autre critère protégé par la loi.

La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, et autres facteurs objectifs. Les employés seront également éligibles aux programmes d'avantages sociaux de l'entreprise.

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