Lead Software Engineer – AIML Data Platform (Data, Python, Containers/Kubernetes)

Overview

As Lead Software Engineer in AMDP, you drive design, development, and secure production-grade software across AI-enabled data platforms. You will collaborate with product managers and data strategists to advance AI for Data initiatives, mentoring engineers and guiding architecture decisions. You’ll promote enterprise AI-assisted engineering practices to boost quality, speed, and stability while aligning with security and resiliency requirements. This role offers impact at scale within a cross-functional, agile team shaping industry-leading tech.

Responsibilities

• Craft innovative software solutions and troubleshoot complex problems beyond routine approaches
• Collaborate with product managers and data strategists to push AI for Data initiatives
• Develop secure, high-quality production code and review peers’ work
• Foster adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operations
• Leverage SDLC tools and AI-assisted development/automation to enhance automation value
• Identify and automate recurring issues to improve operational stability
• Lead evaluation sessions with external vendors and internal teams on architectural fit
• Mentor junior engineers to grow team capability

Key requirements

• Hands-on experience with system design, application development, testing, and operational stability
• Advanced Python architecture and development skills
• Experience in containerized environments
• Proven track record leading use of approved AI-assisted software development tools (coding, code review, test acceleration, troubleshooting)
• Strong understanding of responsible AI in engineering workflows, data sensitivity, and secure handling of inputs/outputs
• proficiency across the Software Development Life Cycle
• Advanced understanding of agile methods including CI/CD, application resiliency, and security
• Practical cloud-native experience

• Mentoring and coaching
• Cross-functional collaboration
• Security-conscious and responsible AI mindset
• Advanced Python
• Containerization
• AI-assisted development tools (e.g., for coding, code review, test acceleration)

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