Senior Software Engineer

Juniper Square is an operations partner for private markets, unifying technology, data, and fund administration services through a single platform. The Senior Software Engineer will design, build, operate, and improve production systems supporting core workflows for institutional financial clients, while driving technical excellence and AI-native development. The role collaborates cross-functionally and may focus on Accounting, Treasury, Platform, or Dex.

Responsibilities:

• 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
• 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
• 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
• 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
• 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

Requirements:

• • 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
• • 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
• TypeScript/React experience a plus for Accounting and Treasury work
• • 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 systems in production (RAG pipelines, AI SDKs, evaluation workflows, guardrails, prompt/tool orchestration, model observability); background in financial services or fintech
• • Dex: strong data warehousing or data engineering expertise (Redshift, Snowflake, BigQuery, Databricks); experience shipping AI-forward data pipeline or warehousing solutions; comfort navigating ambiguity in an early-stage, less spec-heavy environment