Senior Staff Software Engineer (AI)

Ovii's Interpretation of the Role

Senior Staff Software Engineer (AI) leading architecture and evolution of Juniper Square's core distributed services, cloud platform, and AI infrastructure. The role blends deep technical hands‑on work with platform‑level strategy to enable enterprise‑scale private‑market solutions.

Role Snapshot

• Senior staff technical leader
• Platform & infrastructure architect
• AI‑focused systems engineering
• Remote‑first with occasional travel
• Full‑time employment

Must-Have Requirements

• Advanced degree in Computer Science, Engineering, or related field
• 15+ years of experience in distributed systems or platform engineering
• Strong hands‑on experience with Kubernetes, containers, service mesh, or serverless
• Proficiency in Python, Go, or Java
• Infrastructure as Code expertise (Terraform, Pulumi)
• Design of event‑driven architectures (Kafka or similar)
• Production‑scale experience on AWS, Azure, or GCP
• Deep knowledge of observability, SRE principles, and security/compliance
• distributed systems
• platform engineering
• cloud‑native infrastructure

Nice-to-Have Signals

• Experience taking SaaS platforms up‑market for large enterprises
• Background in private‑markets, fund accounting, or fintech
• Building infrastructure for AI/LLM workloads (inference serving, GPU scheduling)
• Large‑scale cloud cost optimization
• Scaling relational databases such as PostgreSQL under high concurrency
• enterprise SaaS up‑market
• fintech domain
• AI/LLM infrastructure
• large private equity institutions

Work Setup

• Location: Americas (USA or Canada), United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: USA, Canada
• Travel: Travel to leadership meetups, team offsites, and customer sites
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Equity details
• Salary range beyond base

What You'll Likely Work On

• Define and own end‑to‑end systems architecture across services, infrastructure, and developer platform
• Design scalable, fault‑tolerant distributed systems and event‑driven pipelines for AI workloads
• Build a paved‑road developer platform with CI/CD, self‑service tooling, and reusable primitives
• Partner with product, security, and executive stakeholders to align technology strategy with the GPX up‑market expansion
• Lead incident response, capacity planning, and cost‑optimization initiatives for the platform
• Mentor senior engineers and champion a culture of operational excellence and AI adoption

Good Fit If You Have

• Enjoys deep technical problem solving while influencing organization‑wide architecture
• Comfortable communicating with executives and customers on technical strategy
• Passionate about building platform foundations that scale to $100B+ AUM