{"id":24601,"url":"https://alion.io/job/juniper-square-senior-staff-software-engineer-ai","title":"Senior Staff Software Engineer (AI)","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":"2026-10-20T05:45:00Z"}},"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":181000,"max_usd":390000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2286},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"Service Mesh","optional":false},{"name":"Terraform","optional":false},{"name":"LLM","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-07-08T22:57:04Z","employer_posted_date":"2026-07-08","last_verified_at":"2026-10-20T23:23:33Z","board_verified":true,"closed_at":null,"days_open":104,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":104},"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\nWe are seeking a Senior Staff Software Engineer to lead the architecture and evolution of the core systems that power Juniper Square - the distributed services, cloud infrastructure, and developer platform on which every product, workflow, and AI capability is built. You will define the vision, architecture, operating model, and execution roadmap required to evolve from team-by-team infrastructure decisions to a cohesive, paved-road platform that enables every engineering team to ship reliable, secure, and performant software at speed.\nThis role anchors a strategic priority for our GPX line of business: taking Juniper Square upmarket to serve the largest private equity institutions in the world - firms managing $100B+ in AUM. Serving these PE titans demands a step-change in everything our systems do: order of magnitude increase in data and traffic volumes; enterprise-grade security, and integration expectations. You will architect the systems foundation that makes this scalable.\nThis is a deeply hands-on leadership role for a technical expert who leads by building: you will actively design systems, prototype solutions, write and review code, and guide teams through their most complex technical challenges.\nYour mandate spans the full systems estate. You will modernize our service architecture and cloud foundation, define architecture across compute, networking, service communication, multi-tenancy, and observability, and build the systems substrate - including the infrastructure powering JunieAI and agentic workloads - on which teams across the business build and operate software. Throughout, you will hold our production systems to the availability, latency, security, and cost standards expected of a platform administering $300B+ in private markets assets.\nYou will work closely with engineering leadership, product teams, security, and executive stakeholders to align technology strategy with business outcomes, mentor engineers, and build a culture of operational excellence. Success in this role means not only delivering a modern systems platform but also elevating the team's capabilities, processes, and ways of working to operate as a true platform engineering organization.\nWhile this is a remote role, some travel is required - to in-person leadership meetups, team offsites, and to customer sites in support of enterprise engagements where deep technical presence matters.\nWhat you'll do\nArchitecture & Technical Leadership\nDefine and own the end-to-end systems architecture strategy across services, infrastructure, and developer platform\n\nDesigning frameworks and design patterns that accelerate the work of the rest of engineering org\n\nDesign scalable, fault-tolerant distributed systems spanning synchronous APIs, asynchronous workflows, and event-driven architectures\n\nEstablish standards for service design, API contracts, multi-tenancy, and inter-service communication\n\nLead architecture reviews and technical decision-making for high-stakes, cross-cutting initiatives\n\nDrive adoption of modern architectures (event-driven systems, platform engineering, infrastructure as code)\n\nHands-On Engineering\nDesign and prototype critical platform and infrastructure components\n\nWrite production-quality code for complex or high-impact areas\n\nReview service designs, infrastructure changes, and performance-critical code paths\n\nTroubleshoot performance, scalability, and reliability issues across services, queues, caches, and databases\n\nOptimize workloads for latency, throughput, concurrency, and cost\n\nPlatform & Infrastructure Ownership\nDesign and architect a scalable cloud platform supporting compute, networking, storage, service orchestration, and deployment across all product lines\n\nBuild a paved-road developer platform - golden paths, internal tooling, CI/CD, and self-service infrastructure - that makes the right way the easy way\n\nCreate reusable platform primitives and internal APIs that product teams can compose rather than rebuild\n\nEnable self-service infrastructure for engineering teams through standardized patterns, templates, and platform capabilities\n\nPartner with AI workflow teams, product, and security teams to support production AI workloads, from inference pipelines to agent fleets\n\nDesign systems for safe agentic execution, including isolation boundaries, resource governance, auditability, and human-in-the-loop controls\n\nEnsure reliability, scalability, and resilience of the platform, including high availability, monitoring, and disaster recovery readiness\n\nEnterprise Scale & Upmarket Readiness\nArchitect core systems to handle the data volumes and structural complexity of $100B+ AUM managers: thousands of entities, tens of thousands of LPs, and deep multi-tier fund structures\n\nDefine scalability targets and re-architect bottlenecked systems ahead of demand, ensuring performance holds at 10x current transaction and data volumes\n\nDesign enterprise integration surfaces - APIs, bulk data interfaces, and ERP/GL connectivity - that fit into the existing technology estates of large institutional GPs\n\nMeet the security, compliance, and operational diligence expectations of the largest PE firms, such as, SSO/SCIM, granular entitlements, audit trails, and data residency\n\nServe as the senior technical voice in enterprise sales and onboarding conversations where architecture, scale, and resiliency are decision criteria\n\nReliability & Operational Excellence\nLead incident response maturity: on-call practices, blameless postmortems, and systemic remediation\n\nDrive capacity planning, load testing, and chaos/resilience engineering practices\n\nOptimize cloud spend through architecture, workload placement, and continuous cost engineering\n\nLeadership & Collaboration\nMentor senior engineers across platform, infrastructure, and product teams\n\nPartner with product, data, and business teams to align systems investments with company outcomes - including the GPX upmarket expansion\n\nTranslate business and product requirements into scalable, operable system designs\n\nInfluence roadmaps using platform, reliability, and cost considerations\n\nAct as the executive technical authority for systems architecture and production engineering\n\nCulture & Enablement\nEvangelize AI adoption, including AI-assisted engineering and operations\n\nHelp promote a culture of operational excellence and outcome-driven innovation\n\nBecome a role model for engineering excellence for the rest of the org\n\nQualifications\nRequired\nAdvanced degree in Computer Science, Engineering, or related field\n\n15+ years in distributed systems, platform engineering, or infrastructure roles\n\nProven experience architecting large-scale, high-availability multi-tenant distributed systems in production\n\nStrong hands-on experience with modern cloud-native stacks (Kubernetes, containers, service mesh, serverless)\n\nDeep expertise in distributed systems fundamentals: consistency models, consensus, partitioning, idempotency, backpressure, and failure modes\n\nAdvanced proficiency in Python, Go, Java, or similar; strong systems-level debugging skills\n\nExpertise in infrastructure as code (Terraform, Pulumi, or similar) and modern CI/CD\n\nExperience designing event-driven and streaming architectures (Kafka or similar)\n\nExperience building developer platforms, internal tooling, or paved-road infrastructure at scale\n\nStrong understanding of observability practices and SRE principles (SLOs, error budgets, incident management)\n\nHands-on experience with AWS, Azure, or GCP at production scale\n\nStrong understanding of infrastructure security, multi-tenancy, and compliance best practices\n\nAbility to operate at both executive and deeply technical levels\n\nNice to Have\nExperience taking a SaaS platform upmarket to serve large enterprise or institutional customers\n\nBackground in private markets, fund accounting, or fintech systems with complex financial domain models\n\nExperience building infrastructure for AI/LLM workloads: inference serving, agent runtimes, GPU scheduling, or evaluation systems\n\nBackground in high-growth SaaS, fintech, or other regulated, data-sensitive environments\n\nExperience with large-scale cloud cost optimization\n\nExperience scaling relational databases (PostgreSQL or similar) under high concurrency\n\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 $265,000 USD. 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.\nLI-TG1","description_format":"text","description_chars":10972,"description_truncated":false,"requirements":{"experience_years_min":15,"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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