Juniper Square
Senior Software Engineer, Platform
Americas (USA or Canada) · Senior · Full-time
Sponsorship not specified$175k-$220kDetected 41 days ago
TypeScriptPythonReactDjangoFastAPIFlaskFull-Stack DevelopmentCode ReviewNoSQLAWSDockerKubernetesCI/CDLLMsRAGIncident ResponseCommunicationCollaboration
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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Files H-1B transfers
20 transfer filings in the last year, covering 20 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- Every AI initiative at JSQ runs on top of this platform, spanning AI Gateway & Infrastructure, Governance & Security, Retrieval & Data Access, and Agent Framework.
Responsibilities
- 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 reusable infrastructure, frameworks, tooling, and developer experiences that enable teams across the organization
- 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
- 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
- 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
- Work closely with product, design, QA, and cross-functional partners to meet timelines and align solutions to business goals
- Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we're building a company designed to shape the future of private markets for decades to come.
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
- Bachelor's degree in Computer Science or equivalent work experience
- Comfort operating in ambiguous, fast-evolving technical territory where best practices and patterns are still being established
- Hands-on experience with AI-native development tools (e.g.,
- 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 building or integrating AI/LLM-powered systems in production (e.g., RAG pipelines, agent frameworks, evaluation workflows, guardrails, prompt/tool orchestration, or model observability)
Nice to have
- Background in financial services or fintech
- Experience with API gateway/infrastructure, security & governance tooling, retrieval and data-access systems, or agent frameworks at production scale
- If you think this role sounds like a fit, we encourage you to apply even if you don't meet every qualification.
- Allowance to customize your work and technology setup at home
- Comfort working full-stack when the problem calls for it (TypeScript/React experience a plus)
Compensation
- Compensation for this position includes a base salary, equity, and a variety of benefits.
- The U.S. base salary range for this role is $175,000 - $220,000 and the Canadian base salary range for this role is $165,000 - $210,000 CAD.
- Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
- Annual professional development stipend
- Your recruiter can provide additional details about compensation and benefits.
Benefits
- Health, dental, and vision care for you and your family
- Life insurance
- Mental wellness coverage
- Flex Time Off in addition to company-paid holidays
- Paid family leave, medical leave, and bereavement leave policies
- Retirement saving plans
- Annual professional development stipend
- Own the production health of the systems you build, including monitoring, troubleshooting, performance, reliability, and issue resolution
- Benefits include:
Company info
- Our mission at Juniper Square is to unlock their full potential.
- Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates.
- We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets.
- Build reliable, scalable, and observable systems that deliver value to customers and enable other engineering teams to move faster
- 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
- We're the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision.
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This listing is sourced directly from Juniper Square's careers page and normalized into a canonical job model.