Software Engineer, Platform

📋 Job Overview

You'll build and scale the core infrastructure that powers Bluenote's AI platform for life sciences companies. You'll design robust, secure systems that enable our clients to deploy AI-powered workflows at enterprise scale, helping bring life-saving therapies to patients faster.

🏢 About Bluenote

This role is ideal for technically strong engineers who are passionate about building foundational systems and excited to be at the forefront of AI infrastructure for real-world applications in life sciences.

🎯 The Role

This is a great opportunity for those who aspire to be technical leaders and want to shape the future of AI infrastructure.

✅ Key Responsibilities

• Build and maintain Bluenote's core platform infrastructure, including APIs, data pipelines, RAG and agent orchestrator.
• Design scalable architectures that support enterprise-grade AI workflows and agent orchestration.
• Develop tooling and frameworks that enable rapid development and deployment of AI solutions.
• Implement robust monitoring, logging, and observability systems to ensure platform reliability.
• Collaborate with the Agent Engineering team to understand platform requirements and optimize for their use cases.
• Own platform security, performance, and scalability as we grow our customer base.

📌 Required Qualifications

• Systems-oriented with a passion for building reliable, maintainable infrastructure.
• Comfortable navigating ambiguity and rapidly evolving technical requirements.
• Curious about how AI infrastructure can transform the life sciences industry.
• Exhibits thoroughness and precision in system design and implementation.

⭐ Desirable Experience

• 8+ years of post-college experience in software engineering, platform engineering, or related field.
• Proficiency in Python, or similar programming languages.
• Experience building and scaling distributed systems, APIs, and cloud infrastructure.
• Hands-on experience with containerization, orchestration, and CI/CD pipelines.
• Understanding of database design, and performance optimization.
• Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code.
• Prior experience with ML/AI infrastructure, LLMOps, or data engineering is a strong plus.