[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 Staff Software Engineer (AI) 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)SalaryUndisclosedDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceDirectorPublished30 Oct 2026Apply before29 Nov 2026Listing views35Application actions0Application 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 is seeking a Senior Staff Software Engineer to set the architecture and technical direction for its distributed-services, cloud, and developer-platform foundation. The role is deeply hands-on, combining production coding and systems debugging with organization-wide architecture leadership. The engineer will build scalable multi-tenant infrastructure, paved-road developer tooling, event-driven systems, and foundations for AI and agentic workloads. They will also advance reliability practices, enterprise integrations, security controls, capacity planning, and cloud-cost optimization for large private-markets customers. The role collaborates extensively with engineering leadership, security, product, business stakeholders, and enterprise customers. ## 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 5/5IndependentCollaborative AI insightThis is an executive-level individual-contributor role requiring 15+ years of experience and deep expertise across distributed systems, cloud platforms, reliability, security, and AI infrastructure. The engineer must make high-impact architectural decisions while remaining hands-on and supporting enterprise-scale growth. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$252,500US market range (per year)$230k–$300k0$330k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly states a U.S. annual base-salary range of $230,000–$275,000 USD, with a midpoint of $252,500. An estimated US annual market range for a Senior Staff platform and infrastructure engineer with this scope is $230,000–$300,000 USD, excluding bonus and equity. ## Core skills Skills and capabilities most closely associated with this opportunity. [Distributed systems architecture](https://jobicy.com/jobs?search_keywords=Distributed%20systems%20architecture.md)[Platform engineering](https://jobicy.com/jobs?search_keywords=Platform%20engineering.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Infrastructure as code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20code.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Event-driven architecture](https://jobicy.com/jobs?search_keywords=Event-driven%20architecture.md)[Kafka](https://jobicy.com/jobs?search_keywords=Kafka.md)[Site reliability engineering](https://jobicy.com/jobs?search_keywords=Site%20reliability%20engineering.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Multi-tenancy](https://jobicy.com/jobs?search_keywords=Multi-tenancy.md)[Cloud security](https://jobicy.com/jobs?search_keywords=Cloud%20security.md)[AI infrastructure](https://jobicy.com/jobs?search_keywords=AI%20infrastructure.md)[Performance optimization](https://jobicy.com/jobs?search_keywords=Performance%20optimization.md) Sample interview questionsHow would you approach evolving independently managed services into a cohesive internal platform without slowing product teams?I would first identify the highest-friction and highest-risk common paths, such as service deployment, observability, identity, and data access. I would establish opinionated golden paths with clear APIs and self-service tooling, then drive adoption through measurable improvements in delivery speed, reliability, and operational burden rather than mandates alone. Describe how you would design a multi-tenant SaaS architecture for substantially larger enterprise customers. I would define tenant-isolation requirements across identity, data, compute, networking, and operational access, then choose isolation tiers based on risk and customer needs. The design would include granular authorization, audit trails, encryption boundaries, rate limits, capacity controls, and observability that supports both per-tenant troubleshooting and platform-wide reliability. What reliability strategy would you use for an event-driven system processing critical financial workflows? I would start with explicit SLOs for availability, latency, correctness, and recovery, then design for idempotency, durable event storage, retries with backoff, dead-letter handling, and replay capabilities. I would validate failure modes through load testing and controlled resilience exercises, with actionable monitoring and blameless postmortems driving systemic improvements. How would you make AI-agent workloads safe to run in production? I would isolate agent execution with constrained identities, sandboxed runtimes, scoped tool permissions, resource quotas, and network controls. I would also require complete auditability, policy checks, human approval for consequential actions, evaluation pipelines, and clear fallback behavior when confidence or safety thresholds are not met. How do you balance cloud-cost optimization with performance and resilience requirements? I treat cost as an architectural constraint alongside latency and availability, using workload-level metrics to identify inefficient capacity, storage, and data-transfer patterns. I would prioritize changes that preserve SLOs, such as right-sizing, autoscaling, workload placement, caching, and lifecycle policies, and validate savings through ongoing cost and performance dashboards. 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 We 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. This 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. This 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. Your 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. You 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. While 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. ### What you’ll do Architecture & Technical Leadership * Define and own the end-to-end systems architecture strategy across services, infrastructure, and developer platform * Designing frameworks and design patterns that accelerate the work of the rest of engineering org * Design scalable, fault-tolerant distributed systems spanning synchronous APIs, asynchronous workflows, and event-driven architectures * Establish standards for service design, API contracts, multi-tenancy, and inter-service communication * Lead architecture reviews and technical decision-making for high-stakes, cross-cutting initiatives * Drive adoption of modern architectures (event-driven systems, platform engineering, infrastructure as code) Hands-On Engineering * Design and prototype critical platform and infrastructure components * Write production-quality code for complex or high-impact areas * Review service designs, infrastructure changes, and performance-critical code paths * Troubleshoot performance, scalability, and reliability issues across services, queues, caches, and databases * Optimize workloads for latency, throughput, concurrency, and cost Platform & Infrastructure Ownership * Design and architect a scalable cloud platform supporting compute, networking, storage, service orchestration, and deployment across all product lines * Build a paved-road developer platform — golden paths, internal tooling, CI/CD, and self-service infrastructure — that makes the right way the easy way * Create reusable platform primitives and internal APIs that product teams can compose rather than rebuild * Enable self-service infrastructure for engineering teams through standardized patterns, templates, and platform capabilities * Partner with AI workflow teams, product, and security teams to support production AI workloads, from inference pipelines to agent fleets * Design systems for safe agentic execution, including isolation boundaries, resource governance, auditability, and human-in-the-loop controls * Ensure reliability, scalability, and resilience of the platform, including high availability, monitoring, and disaster recovery readiness Enterprise Scale & Upmarket Readiness * Architect 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 * Define scalability targets and re-architect bottlenecked systems ahead of demand, ensuring performance holds at 10x current transaction and data volumes * Design enterprise integration surfaces — APIs, bulk data interfaces, and ERP/GL connectivity — that fit into the existing technology estates of large institutional GPs * Meet the security, compliance, and operational diligence expectations of the largest PE firms, such as, SSO/SCIM, granular entitlements, audit trails, and data residency * Serve as the senior technical voice in enterprise sales and onboarding conversations where architecture, scale, and resiliency are decision criteria Reliability & Operational Excellence * Lead incident response maturity: on-call practices, blameless postmortems, and systemic remediation * Drive capacity planning, load testing, and chaos/resilience engineering practices * Optimize cloud spend through architecture, workload placement, and continuous cost engineering Leadership & Collaboration * Mentor senior engineers across platform, infrastructure, and product teams * Partner with product, data, and business teams to align systems investments with company outcomes — including the GPX upmarket expansion * Translate business and product requirements into scalable, operable system designs * Influence roadmaps using platform, reliability, and cost considerations * Act as the executive technical authority for systems architecture and production engineering Culture & Enablement * Evangelize AI adoption, including AI-assisted engineering and operations * Help promote a culture of operational excellence and outcome-driven innovation * Become a role model for engineering excellence for the rest of the org ### Qualifications Required * Advanced degree in Computer Science, Engineering, or related field * 15+ years in distributed systems, platform engineering, or infrastructure roles * Proven experience architecting large-scale, high-availability multi-tenant distributed systems in production * Strong hands-on experience with modern cloud-native stacks (Kubernetes, containers, service mesh, serverless) * Deep expertise in distributed systems fundamentals: consistency models, consensus, partitioning, idempotency, backpressure, and failure modes * Advanced proficiency in Python, Go, Java, or similar; strong systems-level debugging skills * Expertise in infrastructure as code (Terraform, Pulumi, or similar) and modern CI/CD * Experience designing event-driven and streaming architectures (Kafka or similar) * Experience building developer platforms, internal tooling, or paved-road infrastructure at scale * Strong understanding of observability practices and SRE principles (SLOs, error budgets, incident management) * Hands-on experience with AWS, Azure, or GCP at production scale * Strong understanding of infrastructure security, multi-tenancy, and compliance best practices * Ability to operate at both executive and deeply technical levels Nice to Have * Experience taking a SaaS platform upmarket to serve large enterprise or institutional customers * Background in private markets, fund accounting, or fintech systems with complex financial domain models * Experience building infrastructure for AI/LLM workloads: inference serving, agent runtimes, GPU scheduling, or evaluation systems * Background in high-growth SaaS, fintech, or other regulated, data-sensitive environments * Experience with large-scale cloud cost optimization * Experience scaling relational databases (PostgreSQL or similar) under high concurrency ### Compensation Compensation for this position includes a base salary, variable annual performance bonus, equity, and a variety of benefits. The U.S. base salary range for this role is $230,000 to $275,000 USD. 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. LI-TG1 Show more [Apply now >](https://jobicy.com/jobs/158064-senior-staff-software-engineer-ai.md) > Annual salary information is not provided for this position. 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