Sr Lead Software Engineer - Common Components

Job responsibilities

• Executes creative technical solutions and troubleshoots complex problems across a reusable-components portfolio, thinking beyond routine or conventional approaches

• Develops secure, high-quality production code and reviews and debugs code written by others

• Identifies opportunities to eliminate or automate remediation of recurring issues, improving operational stability and mean-time-to-repair for adopting teams across the enterprise

• Builds components to be drop-in and agent-native (for example, via the Model Context Protocol and CLIs) with automated upgrades, so adopters stay current with minimal effort

• Leads evaluation sessions with external vendors, startups, and internal teams to probe architectural designs and applicability for use within existing systems

• Leads communities of practice across Software Engineering to drive awareness and adoption of leading-edge technologies and shared frameworks

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience

• Hands-on practical experience delivering system design, application development, testing, and operational stability

• Advanced skills in one or more programming languages, plus proficiency in automation and continuous delivery methods

• Proficiency in all aspects of the Software Development Life Cycle and advanced understanding of agile methodologies such as CI/CD, application resiliency, and security

• Demonstrated proficiency in a technical discipline such as cloud, artificial intelligence, or machine learning

• Practical cloud-native experience

Preferred qualifications, capabilities, and skills

• Experience building SDKs, frameworks, or developer platforms that other engineering teams consume

• Experience with agent-native tooling (for example, the Model Context Protocol or LLM tooling) and AI-assisted development workflows

• Contributions to open-source or internal shared-library ecosystems