Senior Cloud Engineer

Role Summary

Senior Cloud Engineer to be located in Raritan, NJ. Lead cloud engineering efforts within Johnson & Johnson's public cloud organization, focusing primarily on AWS. Design cloud accounts, implement security policies, ensure compliance as code, and optimize operational efficiency. Develop cloud automations, define security and compliance frameworks, and implement solutions that align with 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‚Äôs 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
• Exceptional written and verbal communication skills, including public speaking and engagement with diverse audiences.
• A self-starter with strong interpersonal skills and a commitment to customer service.
• Proven thought leadership in modern technology trends, including Agile and DevOps methodologies.
• A solid product technology background with a deep understanding of platform thinking and experience in delivering global platforms tailored for local markets.
• Experience in developing applications leveraging Generative AI and/or Agentic AI technologies.

Skills

• Public cloud deployments (AWS)
• Microservices design
• Python-based REST APIs
• CI/CD automation
• Multi-cloud solutions (AWS, GCP, Azure, on-premises)
• Team leadership and cross-functional collaboration