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Principal Engineer, Cloud-Native Applications. As a Principal Engineer, AI & Cloud-Native Applications, you will serve as a hands-on technical leader, spearheading the design, development, and implementation of cutting-edge application systems. You will drive innovation across data migrations and hybrid cloud environments (on-premise, AWS, GCP), leveraging your deep expertise in Java and Python, and engaging with emerging AI technologies.
Job Responsibility
Lead the end-to-end design, development, and deployment of complex application systems and data solutions, with a strong emphasis on hands-on coding in Java and Python
Architect and implement robust data migration strategies, ensuring seamless and efficient transfer of data between diverse systems, including on-premise and public cloud platforms (AWS, GCP)
Design, build, and optimize high-performance data pipelines and integration solutions spanning on-premise infrastructure, AWS, and GCP
Drive technical excellence in application development, embracing cloud-native principles and best practices for scalability, reliability, and security
Act as a subject matter expert in core technologies, providing technical guidance and mentorship to development teams
Collaborate with cross-functional teams to define technical requirements, architectural patterns, and innovative solutions
Evaluate and integrate emerging AI technologies into application landscapes, contributing to the firm's AI strategy
Ensure solutions adhere to architectural blueprints, industry standards, and regulatory compliance, proactively managing technical risks
Requirements
Minimum 8+ years of hands-on experience in software development, with a significant focus on backend systems, data engineering, or cloud-native applications
Demonstrated expert-level proficiency in Java and Python
Proven experience in designing and implementing large-scale data migrations and building robust data pipelines across hybrid cloud environments (on-premise, AWS, GCP)
Strong understanding of cloud infrastructure and services (AWS, GCP)
Experience with containerization and orchestration technologies (Docker, Kubernetes)
Familiarity with foundational AI models (Gemini, OpenAI, Claude, Llama) and prompt engineering concepts
Exceptional problem-solving abilities and a track record of delivering innovative technical solutions
Strong leadership skills, with the ability to mentor and guide engineering teams
Excellent communication skills, capable of articulating complex technical concepts to diverse audiences