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High — Tier-1 employer, metro location, generalist Full Stack title, and broad skillset requirements.
Medium because core engineering skills are transferable, though financial reporting domain experience is beneficial.
High due to explicit 7+ years requirement, mandatory tech stack and leadership experience.
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Lead development, architecture, and design of distributed, event-driven systems using Java and Python for the enterprise Client Reporting platform.
Drive modernization including AI-enabled engineering practices and architect multi-step workflows integrating LLMs and AI tools.
Manage stakeholders and lead global teams to deliver scalable, resilient, and auditable client reporting solutions aligning with enterprise strategies.
7+ years of progressive software engineering experience with leadership of teams or major platforms.
Strong expertise in Java, Python, distributed systems architecture, and experience designing real-time, highly available enterprise systems.
Experience with SQL, NoSQL, streaming technologies (e.g., Kafka, Redis), and cloud-native/DevOps practices (Docker, Kubernetes, CI/CD).
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience.
Experienced engineering leader with hands-on capabilities in backend and frontend full-stack development across distributed services.
Proven ability to integrate AI technologies into engineering workflows and design AI-augmented execution plans for complex business problems.
Skilled at managing cross-functional stakeholders and driving strategic modernization in large-scale, mission-critical financial reporting platforms.