Senior Software Engineer (Platform)

Join Juniper Square as a Senior Software Engineer (AI Platform) and be a key contributor in designing, building, and operating production systems for institutional financial clients. You will work closely with Staff engineers, product, design, and QA to deliver reliable and well-designed systems. Your responsibilities will include owning projects end-to-end, building scalable and observable systems, and improving engineering velocity through automation and continuous improvements. You should have 7+ years of experience in backend and/or full-stack software engineering, strong backend engineering experience with Python, and hands-on experience building or integrating AI/LLM-powered systems in production.

• Design, build, and ship production-quality systems, APIs, and services, from foundational platform capabilities to customer-facing product experiences.
• Own projects end-to-end: translating requirements into technical designs, implementation, testing, deployment, and ongoing iteration.
• Build reliable, scalable, and observable systems that deliver value to customers and enable other engineering teams to move faster.

• 7+ years of experience in backend and/or full-stack software engineering
• Clear communication skills, with the ability to explain technical tradeoffs to engineering and cross-functional partners
• Strong backend engineering experience with Python and frameworks such as FastAPI, Flask, Pyramid, or Django
• Hands-on experience building or integrating AI/LLM-powered systems in production (e.g., RAG pipelines, agent frameworks, evaluation workflows, guardrails, prompt/tool orchestration, or model observability)
• Strong ownership mindset, with the ability to drive projects independently while collaborating effectively across teams
• Ability to break down complex technical problems and deliver pragmatic, maintainable solutions
• Comfort operating in ambiguous, fast-evolving technical territory where best practices and patterns are still being established
• Experience with cloud-native technologies such as AWS, Docker, and Kubernetes, and infrastructure as code
• Hands-on experience with AI-native development tools (e.g., Cursor, Augment), and demonstrated AI Fluency: a deliberate point of view on when AI is (and isn't) the right tool, adapted code review practices for AI-generated code, and safeguards against over-reliance on AI tooling
• Comfort working full-stack when the problem calls for it (TypeScript/React experience a plus)
• Bachelor's degree in Computer Science or equivalent work experience
• Strong understanding of CI/CD, observability, and operating services in production
• Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling
• Experience with API gateway/infrastructure, security & governance tooling, retrieval and data-access systems, or agent frameworks at production scale
• Background in financial services or fintech