Senior Software Engineer

Senior Software Engineer

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.

What You'll Do

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

Qualifications

Required

• 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

Nice to Have

• Accounting: accounting or financial domain expertise or background; economics education
• Treasury: experience with bank integrations (Plaid, Yodlee, Wave, QuickBooks, Intuit, FreshBooks); GraphQL
• AI Platform: experience building or integrating AI/LLM-powered