Senior Software Engineer, Juniper Square

• 7+ years of experience in backend and/or full-stack software engineering,
• Strong backend engineering experience with Python and frameworks such as FastAPI, Flask, Pyramid, or Django
• Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling
• Experience with cloud-native technologies such as AWS, Docker, and Kubernetes, and infrastructure as code
• Strong understanding of CI/CD, observability, and operating services in production
• Comfort working full-stack when the problem calls for it (TypeScript/React experience a plus for Accounting and Treasury work)
• Ability to break down complex technical problems and deliver pragmatic, maintainable solutions
• Strong ownership mindset, with the ability to drive projects independently while collaborating effectively across teams
• Clear communication skills, with the ability to explain technical tradeoffs to engineering and cross-functional partners
• 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
• Bachelor's degree in Computer Science or equivalent work experience
• At Juniper Square, we believe building a diverse workforce and an inclusive culture makes us a better company. If you think this role sounds like a fit, we encourage you to apply even if you don't meet every qualification

Desirable

• As a Senior Software Engineer at Juniper Square, you're a hands-on individual contributor who designs, builds, and operates production systems powering core workflows for institutional financial clients
• You bring deep technical expertise to your team, drive complex projects independently, and collaborate closely with Staff engineers, product, design, and QA to ship reliable, well-designed systems
• We're hiring Senior Software Engineers across four teams:
• Accounting - Join the team that owns Juniper Square's core accounting data and workflows - the bedrock that other product areas build on
• You'll work on the transactions platform, expand third-party integrations, build out custom financial and general ledger reporting, and help build a proprietary waterfall model from the ground up, as the platform evolves from a reporting engine into a full accounting engine
• Treasury - Join the team building Juniper Square's Treasury platform, the system that brings transactions, balances, and bank data into and across the platform
• You'll work on expanding bank integrations, a visualization and reporting layer for payments and treasury data, and vendor exports that connect treasury data to accounting - on a team that has already processed $500M+ in transactions
• AI Platform - Join the team building Juniper Square's core AI Platform - the shared AI SDKs, guardrails, evaluation frameworks, feedback systems, and agentic workflow infrastructure that other engineering teams build on
• You'll work at the intersection of applied AI, backend systems, and infrastructure, shipping platform primitives that let other teams build reliable AI-powered and agentic features
• Dex - Join Dex, Juniper Square's AI-native data warehouse - a customer-facing data product
• You'll work on data extraction, built on the existing architecture and running an Ingest → Parse → Classify → Extract pipeline - owning the initial MVP agents and covering structured data extraction, a RAG pipeline, vectorized storage, and a docs repo
• Build & Operate Production Systems:
• Design, build, and ship production-quality backend services, APIs, and platform components used across multiple teams
• Own projects end-to-end: design, implementation, testing, and deployment
• Improve the reliability, scalability, observability, and operational quality of the systems you own
• Own production health for your systems, including monitoring, troubleshooting, and issue resolution
• Build internal tools, frameworks, automation, and documentation that improve developer productivity
• Drive Technical Excellence:
• Contribute to technical design for complex projects, evaluating tradeoffs and proposing pragmatic implementation plans
• Partner with product, design, and engineering to translate requirements into well-designed technical solutions
• Help identify and reduce technical debt, reliability risks, and friction in the software development lifecycle
• Collaborate with Staff and senior engineers to establish reusable patterns and raise engineering standards
• Participate in code reviews, design reviews, debugging, incident response, and operational support
• AI Fluency & AI-Native SDLC:
• Use agentic coding tools and AI-assisted development as a primary part of your workflow, deliberately choosing where AI versus traditional software is the right tool
• Critically evaluate AI-generated code for correctness, edge cases, and regressions - shipping quality output regardless of how it was produced
• Build or integrate AI/LLM-powered capabilities in your domain where they add real value (e.g., evaluation frameworks, RAG pipelines, agentic workflows), with clear human-in-the-loop boundaries
• Contribute to the team's evolving practices around AI-accelerated development, testing, and code review
• Collaborate Cross-Functionally:
• Work closely with product, design, QA, and cross-functional partners to meet timelines and align solutions to business goals
• Provide clear, accessible technical context to both technical and non-technical stakeholders
• Domain Expertise:
• Grow into a subject-matter expert in your domain (Accounting, Treasury, AI Platform, or Dex), with a deep understanding of the data, workflows, and customer needs specific to that space