Overview
We are seeking a Staff/Principal Software Engineer to design and build scalable distributed systems supporting AI/ML platforms, backend services, and edge computing. This is a hands-on technical leadership role responsible for architecting solutions, developing production-quality software, and collaborating with cross-functional teams to deliver high-performance, cloud-native applications.
Responsibilities
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Design and build scalable distributed systems from concept through production.
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Develop backend services and APIs using Java Spring Boot.
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Build data processing pipelines supporting AI/ML inference and feature engineering.
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Design edge computing and CDN-based solutions for low-latency processing.
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Architect cloud-native solutions on AWS.
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Define integrations with third-party platforms, APIs, and authentication services.
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Establish best practices for system architecture, observability, scalability, and reliability.
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Collaborate with Data Science, Product, and Engineering teams to deliver AI-enabled platforms.
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Leverage AI-assisted development tools to improve engineering productivity.
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Lead technical design discussions and mentor other engineers through hands-on development.
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10+ years of software engineering experience.
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Strong Java & Spring Boot experience.
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AWS and distributed systems expertise.
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Experience with AI/ML data pipelines or inference platforms.
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Edge computing/CDN experience.
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Experience using GitHub Copilot or other AI coding tools.
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Strong architecture and system design skills.
Nice to Have
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JavaScript/TypeScript
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Python
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Databricks
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Microservices, event-driven architecture
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JWT, OAuth2, PKI
