Senior Staff Software Engineer (AI)

Americas (USA or Canada), Remote. Posted 4 months ago

The role

You will lead the architecture and evolution of core distributed services, cloud infrastructure, and the developer platform. You will design scalable systems to support AI capabilities and enable engineering teams to ship software through a paved-road platform.

What you will do

Define and own the end-to-end systems architecture strategy
Design scalable, fault-tolerant distributed systems
Establish standards for service design, API contracts, and multi-tenancy
Design and prototype critical platform and infrastructure components
Write production-quality code for complex or high-impact areas
Build a paved-road developer platform including internal tooling and CI/CD
Partner with AI workflow teams to support production AI workloads
Architect core systems to handle large data volumes for enterprise customers
Lead incident response maturity and capacity planning
Mentor senior engineers across platform, infrastructure, and product teams

Required qualifications

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

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

Benefits

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

About the company

Juniper Square is an Operations Partner for private markets, unifying technology, data, and fund administration services into a single platform. The company is founder-led and uses its JunieAI platform to embed intelligence across workflows.