Senior Backend Java Engineer, Chicago

Responsibilities

• Propose and facilitate technical discussions to arrive at agreed‑upon architectural plans for high‑throughput device provisioning, zero‑touch enrollment, and lifecycle management services.
• Own the APIs for the Device Management Domain, coordinating with external hardware and consumer teams to ensure seamless integration, rapid registration, and data integrity.
• Groom technical stories from Product Management requirements and break down complex tasks for the team to enable rapid, parallel development.
• Lead the implementation, optimization, and scaling of relational data layers using AlloyDB (and PostgreSQL), ensuring data integrity, high availability, and efficient indexing for millions of device records.
• Architect and implement advanced prompt engineering workflows utilizing Anthropic Claude to automate configuration generation, analyze complex device logs, and power conversational provisioning assistants.
• Conduct thorough code reviews, serving as a trusted source to catch edge cases, security gaps, and performance bottlenecks, while actively mentoring junior and mid‑level engineers.
• Actively contribute to development pipeline improvements (e.g., automated guardrails, RAG systems, and AI coding assistants) to significantly cut down PR cycle times.

• Bachelor’s degree with 5+ engineering experience AND 4+ years of Java experience
• Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.
• Practical, deep experience managing and optimizing Postgres‑based databases (ideally GCP AlloyDB) for high‑concurrency write/read profiles.
• Proven ability to deploy, manage, and scale microservices on GCP (GKE, Cloud Run, Cloud Storage, and database management).
• Extensive experience designing robust service contracts and managing dependencies between Python and Java microservices.
• Practical experience leveraging Anthropic Claude (or similar advanced LLMs) for systemic prompt design, structured data extraction, and log parsing.
• Deep understanding of scale challenges, fault‑tolerant design, and the ability to anticipate and address stress points within high‑availability provisioning architectures.