[All remote jobs](https://jobicy.com/jobs.md)[![Juniper Square logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/01/90c359a8bed816e81ea39fa33a8314f3.png)](https://jobicy.com/company/juniper-square.md)[Juniper Square](https://jobicy.com/company/juniper-square.md) # Senior Software Engineer, Platform Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/juniper-square.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md)SalaryUSD 175k–220k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished30 Oct 2026Apply before29 Nov 2026Listing views31Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Juniper Square seeks a senior individual-contributor engineer to build and operate the foundational platform supporting its customer-facing and internal AI initiatives. The role centers on designing scalable backend services, APIs, infrastructure, and developer tooling while owning systems through production operations and incident response. Candidates need strong Python, cloud-native, database, CI/CD, observability, and infrastructure-as-code experience, with the ability to contribute full-stack when needed. This engineer will build or integrate production LLM capabilities such as RAG, agent frameworks, evaluation workflows, and guardrails. The position requires independent technical leadership and clear collaboration with product, design, QA, Staff engineers, and non-technical stakeholders. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a senior platform role requiring 7+ years of engineering experience and ownership of complex, production-critical AI infrastructure. It combines distributed systems, cloud operations, security and governance concerns, AI/LLM implementation, and independent project delivery in an evolving technical domain. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$197,500US market range (per year)$170k–$235k0$258.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a U.S. base-salary range of $175,000–$220,000 USD, with a midpoint of $197,500 per year. The posting does not state the cadence verbatim, but yearly compensation is inferred from the senior full-time U.S. base-pay range and standard market convention. A separate Canadian range of CAD 165,000–210,000 is also stated. Estimated U.S. market pay for a senior platform engineer with production AI/LLM infrastructure responsibilities is $170,000–$235,000 per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[FastAPI](https://jobicy.com/jobs?search_keywords=FastAPI.md)[Django](https://jobicy.com/jobs?search_keywords=Django.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Relational Databases](https://jobicy.com/jobs?search_keywords=Relational%20Databases.md)[NoSQL Databases](https://jobicy.com/jobs?search_keywords=NoSQL%20Databases.md)[API Design](https://jobicy.com/jobs?search_keywords=API%20Design.md)[LLM Integration](https://jobicy.com/jobs?search_keywords=LLM%20Integration.md)[RAG Pipelines](https://jobicy.com/jobs?search_keywords=RAG%20Pipelines.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md) Sample interview questionsHow would you design a production-ready RAG platform shared by multiple product teams?I would separate ingestion, document processing, indexing, retrieval, orchestration, evaluation, and observability into clearly owned services or modules. I would enforce tenant isolation and access controls at retrieval time, version prompts and indexes, define quality and latency SLOs, and use offline and online evaluations to monitor relevance, safety, and cost. Describe how you would operate a critical API service in production. I would start with explicit availability, latency, error-rate, and saturation objectives, then instrument structured logs, metrics, traces, and business-level events. I would build safe deployment and rollback paths, dashboards and actionable alerts, runbooks for common failures, and regularly use incident learnings to remove recurring operational risks. How do you evaluate AI-generated code before shipping it? I treat AI-generated code as untrusted input and review it against the same design, security, correctness, and maintainability standards as manually written code. I validate assumptions, add targeted unit and integration tests for edge cases, inspect dependency and data-handling implications, and ensure the implementation has clear ownership and operational behavior. How would you approach a database performance problem affecting a high-traffic workflow? I would first use traces and database telemetry to identify the actual slow queries and their request context. Then I would review query plans, indexes, data-model constraints, transaction boundaries, and access patterns before testing focused remedies such as index changes, query rewrites, caching, batching, or asynchronous processing. Tell us how you communicate technical tradeoffs to non-engineering partners. I frame the discussion around customer impact, delivery timing, reliability, cost, and risk rather than implementation details alone. I present a small number of viable options, state my recommendation and assumptions clearly, and document the decision so stakeholders understand both the immediate plan and its longer-term consequences. Opportunity details ## About this role. ### About Juniper Square Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. 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. With $300B+ under administration and 700,000+ LPs on platform, we’ve built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we’re reimagining how private markets operate, embedding intelligence across every workflow. 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. 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. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you’re energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us! Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in [digital-first](https://blog.junipersquare.com/juniper-square-ponders-future-of-office-with-digital-first-hybrid-workplace-strategy/) operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time. ### About your role 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. You’ll join the Platform team, building the foundational infrastructure layer that powers all AI work at Juniper Square, both customer-facing (GPX) and internal automation. Every AI initiative at JSQ runs on top of this platform, spanning AI Gateway & Infrastructure, Governance & Security, Retrieval & Data Access, and Agent Framework. ### What you’ll do ### Build & Operate Production Systems * 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 * Own the production health of the systems you build, including monitoring, troubleshooting, performance, reliability, and issue resolution * Build reusable infrastructure, frameworks, tooling, and developer experiences that enable teams across the organization * Improve engineering velocity and operational quality through automation, documentation, and continuous improvements ### 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 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) * 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 * 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) * Comfort operating in ambiguous, fast-evolving technical territory where best practices and patterns are still being established ### 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 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. ### 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. Benefits include: * Health, dental, and vision care for you and your family * Life insurance * Mental wellness coverage * Fertility and growing family support * Flex Time Off in addition to company-paid holidays * Paid family leave, medical leave, and bereavement leave policies * Retirement saving plans * Allowance to customize your work and technology setup at home * Annual professional development stipend Your recruiter can provide additional details about compensation and benefits. 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