Unknown Company

Sr Lead Software Engineer - Common Components

jersey city, nj • Posted 6 days ago
Onsite Full Time IT & Technology

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


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