{"id":24611,"url":"https://alion.io/job/juniper-square-staff-software-engineer-ai","title":"Staff Software Engineer","company":{"id":6722,"name":"Juniper Square","domain":"junipersquare.com","url":"https://alion.io/company/juniper-square","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":13,"ghost_share":0,"stale_share":0.385,"repost_share":0.077,"time_to_fill_p50_days":46,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":182000,"max_usd":387000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2198},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"ETL/ELT","optional":true},{"name":"JavaScript","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-05-26T16:17:47Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-18T04:28:28Z","board_verified":true,"closed_at":null,"days_open":144,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":144},"description":"About Juniper Square\nPrivate 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.\nOur 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!\nJuniper 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 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.\nAbout your role\nAs a Staff Software Engineer at Juniper Square, you are a technical leader - setting technical direction, driving architectural decisions, and raising engineering quality across your team. This is a player-coach role: you lead through code and architecture, not just direction. You'll write production code as a hands-on individual contributor while owning your team's technical strategy, roadmap, and growth, and you'll collaborate closely with product, design, and QA to turn complex workflows into delightful, intuitive experiences.\nWe're hiring a Staff Software Engineer for the following team:\nReporting - Lead the squad that builds the backbone of Juniper Square's financial and web reporting. You'll help set the private-markets standard for customizable, actionable reporting - letting users pull any data, from anywhere, place it anywhere, in any format, and generate the insights that drive decisions. This is a critical, hands-on role for a player-coach who improves systems, automates reporting workflows, enjoys working with financial data, and boosts operational efficiency.\nWhat you'll do\nOwn Technical Direction & Architecture\nSet the technical direction and own the architecture for your domain's systems, from design through production\n\nLead technical design for ambiguous, cross-functional initiatives - evaluating tradeoffs, aligning stakeholders, and driving implementation\n\nBe instrumental in your team's transition from monolith to service-oriented architecture\n\nEvaluate and select technologies with a bias toward what ships well and scales sustainably\n\nBuild & Deliver\nWrite production code as a hands-on individual contributor - this is not a role that delegates implementation to others\n\nOwn end-to-end delivery of roadmap projects: design, coding, testing, and production\n\nManage your team's short-term roadmap (spanning the next two quarters), proactively surfacing execution, cost, and technical risks and driving pragmatic mitigation\n\nLead the development of complex, full-stack workflows, working across frontend and backend engineers\n\nAI Fluency & AI-Native SDLC\nPractice AI Fluency across the full software development lifecycle - deliberately choosing where AI versus traditional software is the right tool, and defending those tradeoffs against real criteria (latency, accuracy, cost, data sensitivity, explainability)\n\nChampion and embed AI-native development practices and tools (e.g., Cursor, Augment) to drive significant productivity gains across your team\n\nAdapt code review and testing practices for an AI-assisted SDLC - catching AI-specific failure modes (hallucinated dependencies, overconfident but incorrect logic) before they ship\n\nBuild and evaluate agentic workflows and AI-assisted systems where they add real value, with clear human-in-the-loop boundaries and monitoring for failure\n\nGuard against over-reliance on AI tooling, in your own work and in the code you review, balancing velocity with system comprehension and accountability for outcomes\n\nFoster a culture of rapid iteration, high velocity, and quality, and help raise AI fluency across the team\n\nLead & Grow the Team\nMentor engineers, raise the quality of technical decision-making, and help the team execute with consistency\n\nEstablish coding standards, review practices, and architectural documentation that scale as the team grows\n\nPartner with recruiting to build and grow the team\n\nCollaborate Cross-Functionally\nWork closely with product, design, QA, and customer support to translate requirements into executable technical plans\n\nParticipate actively in design reviews and roadmap discussions with a grounded, implementation-level perspective\n\nHandle most cross-team conflicts and technical decisions autonomously\n\nOperational Excellence\nOwn monitoring, diagnosing, and resolving production issues within your team's services\n\nUse observability tooling to measure and improve system performance and reliability\n\nImplement and uphold best practices that maximize developer productivity across the team\n\nDomain Expertise\nGrow into a subject-matter expert in your domain, with an in-depth understanding of customer needs and the value your systems deliver\n\nQualifications\nRequired\n12+ years of experience in backend and/or full-stack software engineering, with a clear trajectory of increasing technical leadership, architectural responsibility, and mentorship\n\nA portfolio of shipped production systems - be ready to walk through specific technical decisions you personally made and code you personally wrote; this is not a role for someone whose primary contribution has been directing others\n\nDeep expertise in at least one server-side language (Python preferred, Node/TS, Java, C++, C#, or similar) and strong proficiency building production-grade backend services\n\nExperience with modern front-end frameworks (React preferred) and comfort working full-stack when the problem calls for it\n\nExperience with relational/NoSQL databases, including schema design, performance tuning, and data modeling\n\nExperience building and operating cloud-native systems using AWS (or equivalent), Docker, Kubernetes, and infrastructure as code\n\nStrong understanding of CI/CD, observability, reliability, and operational excellence in production environments\n\nDeep understanding of service-oriented architecture and experience evolving systems from monolith toward SOA\n\nDemonstrated ability to raise engineering quality through technical standards, design reviews, mentoring, and reusable platform patterns\n\nHands-on experience with AI-native development tools (e.g., Cursor, Augment) and a track record of using them to accelerate personal and team velocity\n\nDemonstrated AI Fluency: hands-on experience building AI-assisted or agentic systems with a deliberate, defensible point of view on when AI is (and isn't) the right tool; adapted code review practices to catch AI-specific failure modes; and concrete safeguards against over-reliance on AI tooling\n\nAbility to work through ambiguity, break down complex problems, and drive alignment across engineering, product, and design\n\nBachelor's degree in Computer Science or equivalent work experience\n\nNice to Have\nReporting: experience with data integration platforms, ETL/ELT processes, business intelligence tools, or financial data\n\nProduction experience building AI/LLM-powered systems (RAG pipelines, agentic workflows, evaluation frameworks)\n\nBackground in financial document processing or fintech data pipelines\n\nPrior experience in a technical lead or TLM capacity on a new or early-stage product team\n\nAt 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.\nCompensation\nCompensation for this position includes a base salary, equity, and a variety of benefits. The U.S. base salary range for this role is $190,000 - $235,000 USD and the Canadian base salary range is $180,000 - $225,000 CAD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.\nBenefits include:\nHealth, dental, and vision care for you and your family\nLife insurance\nMental wellness coverage\nFertility and growing family support\nFlex Time Off in addition to company-paid holidays\nPaid family leave, medical leave, and bereavement leave policies\nRetirement saving plans\nAllowance to customize your work and technology setup at home\nAnnual professional development stipend\nYour recruiter can provide additional details about compensation and benefits.","description_format":"text","description_chars":9561,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance","Parental 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