Senior Cloud Engineer

Role Summary

Senior Cloud Engineer located in Raritan, NJ, leading cloud engineering efforts within Johnson & Johnson's public cloud organization, focusing primarily on AWS. Responsible for cloud account design, security policies, compliance as code, and operational efficiency, with emphasis on cloud automation, security/compliance frameworks, and solutions aligned to application hosting requirements.

Responsibilities

• Architect and Implement Cloud Solutions: Design and deploy public cloud infrastructures that meet business needs.
• Engineering Support: Provide ongoing support for existing cloud infrastructures, ensuring robust performance and reliability.
• Collaborative Development: Work with business application owners to gather requirements and translate them into effective technical solutions.
• Architectural Leadership: Collaborate with technical product owners to inform strategic cloud architecture decisions.
• Technical Problem Solving: Partner with application teams to troubleshoot complex issues spanning infrastructure and application layers.
• Cloud Operations Optimization: Streamline and automate cloud operational processes and deployment practices.
• KPI Monitoring: Track adoption and performance of new features and provide actionable recommendations for improvements.
• Security Best Practices: Ensure that all cloud architectures adhere to industry-standard security protocols.
• Industry Awareness: Keep updated with the latest trends and advancements in cloud technologies.
• Project Management: Initiate and drive projects aimed at reducing operating expenses and enhancing efficiencies.
• Issue Resolution Leadership: Lead real-time troubleshooting meetings to resolve DevOps challenges and enhance product features.
• Agile Processes: Actively participate in squad ceremonies, streamlining the flow of value using appropriate tools and reporting metrics.

Qualifications

• Bachelor’s Degree in a relevant field.
• Minimum of 6 years of hands-on experience in AWS infrastructure engineering.
• At least 2 years of development experience in Python REST APIs.
• 2+ years of demonstrated leadership experience (leading a project).
• Experience with Generative AI solutions.
• AWS Professional certification is highly preferred

Skills

• Public cloud deployments (AWS, multi-cloud including GCP, Azure, and on-premises)
• Microservices design
• Python-based REST APIs
• CI/CD automation
• Cloud security and compliance frameworks
• Ability to lead cross-functional teams and drive consensus

Education

• Bachelor’s Degree in a relevant field