Johnson & Johnson
Raritan, NJ
Shift: Full time
At Johnson Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Technology Product Platform Management Job Sub Function: Reliability Engineering Job Category: People Leader All Job Posting Locations: Raritan, New Jersey, United States of America Job Description: Do you have a Site Reliability Engineering mindset? Worked on global healthcare products and services? Are you passionate about data? Comfortable digging into code, architecture, and operations? Interested in applying Artificial Intelligence and Machine Learning to the way IT Applications are designed, developed, and operated? Want to help implement Continuous Release and Deployment? We are seeking a Manager, Reliability Engineer to ensure the availability, performance, security, and scalability of our public-facing websites and AI-enabled features. This role bridges Site Reliability Engineering (SRE), web engineering, SEO best practices, and AI deployment/operationalization. You will build automation and observability, drive reliability-focused product decisions, and partner closely with engineering, product and data/ML teams. We focus on continuously optimizing existing systems, building automation into our infrastructure, applications, deployment, release and operations. Our engineers are responsible for the End to End experience of our customers and how our systems perform, using industry leading tools and approaches. Our teams improve IT Product quality by focusing on preventative and proactive measures, eliminating and automating product reliability issues, and collaborating with our product lines to deliver high quality, highly reliably commercial applications. The ideal candidate is collaborator, innovator with superior analytical abilities. This opportunity requires excellent technical, problem-solving, and communication skills. This candidate should possess verifiable leadership qualities including being proactive, thoughtful, thorough, decisive, and flexible, conducting themselves professionally and with integrity at all times. The candidate is not a policy maker/spokesperson but drives to get the right things done. At the core of the position is delivery, automation, innovation, and relentless pursuit of highly performant products. As a part of the Application Reliability team, you will be at the forefront of technologies interacting with the full breadth of Commercial Platforms and Technologies: Full-stack digital platforms and languages (e.g Acquia, Platform.SH, Drupal, PHP, Javascript, HTML, APIs, .NET, SharePoint and Mobile solutions), Cloud computing and architecture (e.g AWS, GCP and Azure), DevOps tools and processes (e.g Jenkins, Terraform, JIRA, xRay, JFrog and Artifactory) and Observability/Monitoring tools and practices (New Relic, Pingdom, Splunk). You will be working with passionate, driven, excited individuals who believe that providing world class products is critical to providing the best health care products in the world. Key responsibilities Own the reliability, performance, and operability of digital websites and the infrastructure that serves AI features (inference endpoints, feature stores, model-serving pipelines). Design, implement, and maintain observability (metrics, logs, traces, RUM) and synthetic monitoring for web and AI services to achieve target SLOs. Drive automation: CI/CD, progressive rollout patterns, self-healing ops, and toil reduction. Drive transition from SEO to GEO strategy to improve user experience, visibility and adoption. Harden production systems: capacity planning, incident response, runbooks, post-incident reviews, and remediation tracking. Instrument and operationalize AI features: deploy/monitor models, track model performance drift, implement observability for model inputs/outputs and latency. Build automation for repetitive operational tasks (scaling, cache invalidation, log management, backups) and self-healing workflows. Maintain security-related reliability controls for web delivery (CDN, WAF, TLS, DDoS mitigations) in partnership with security teams. Mentor other engineers on reliability best practices and integrate reliability into the SDLC. Required qualifications Bachelor s Degree or Equivalent 6 years of experience in site reli