Principal Solutions Architect
1 month ago
We are seeking a highly skilled Principal Solutions Architect to lead the design and implementation of scalable, innovative technology solutions that drive business transformation at PeopleGene.
Key Responsibilities:
Design and lead complex, scalable workflows and solutions that align with business needs and technology goals.
Develop cloud-native architectures, ensuring scalability, performance, and security for enterprise applications.
Lead initiatives to improve data interoperability, ensuring seamless integration of systems and enabling efficient data exchange across diverse platforms.
Lead the design and implementation of robust APIs, ensuring that they enable effective system integration, scalability, and data flow.
Advocate for and implement DevOps best practices, including CI/CD pipelines, infrastructure automation, and operational excellence.
Stay up to date with emerging technologies, particularly in AI/ML, and integrate them into enterprise solutions to drive innovation.
Collaborate with key stakeholders, including the CTO, product, and engineering teams, to deliver architectural solutions that meet both technical and business requirements.
Conduct architectural reviews and ensure alignment with enterprise technology standards.
Mentor and guide engineering teams in implementing best practices and continuous improvements.
Work cross-functionally to integrate new solutions into the existing infrastructure, with a focus on data integrity and system compatibility.
Ensure compliance with relevant regulations and industry standards, particularly for the Utilities and Telecom industries.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
14+ years of experience in software architecture, with expertise in cloud-native architectures and data integration strategies.
Strong experience in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and multi-cloud strategies.
Proficient in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Terraform) with a focus on automation and infrastructure-as-code.
Experience with AI/ML frameworks and the ability to integrate machine learning solutions into enterprise architectures.
Proven experience with data interoperability frameworks and tools, ensuring the seamless flow of data between different systems.
Experience in Utilities or Telecom is a strong plus.
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