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 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're looking for a Senior Site Reliability Engineer II to help us scale our infrastructure and reliability practices as we grow our engineering org by 90+ people this year. You'll take ownership of reliability and observability for your team's systems, work hands-on across Kubernetes, AWS, and CI/CD, and partner with 16+ engineering teams to roll out standards and automation that reduce friction org-wide.

This role is for someone who's proactive by nature — you see a problem and go fix it without waiting to be asked. You're comfortable working across teams with different workflows and priorities, and you're already using AI tools as part of how you build, debug, and ship. You won't be working in a vacuum: you'll partner with a Staff-level architect and engineering leadership on the biggest calls, while owning execution and cross-team rollout yourself.

What you’ll do

Own reliability and observability across the organization — SLAs/SLOs, instrumentation, and on-call health
Design, deploy, and maintain Kubernetes infrastructure (Helm, EKS/ECS) and core AWS services (RDS/Aurora Postgres, networking, scaling)
Build and maintain CI/CD pipelines in GitHub Actions and Argo/Helm
Drive adoption of Infrastructure as Code standards (Terraform, and increasingly Crossplane) across multiple teams
Partner with 16+ engineering teams to roll out new standards, tools, and processes — adapting the rollout to how each team actually works
Participate in on-call rotation and lead incident response/root-cause analysis for issues that cross team boundaries
Use AI tools daily to work faster and more effectively, and help less AI-fluent teammates pick up the same habits
Represent SRE's perspective in planning conversations with engineering leadership

Qualifications

Required

8-10 years of experience as a Senior SRE, DevOps, or Infrastructure Engineer
Background at smaller-to-mid-size, high-growth SaaS companies (Series A/B through C/D) — you know how to move fast and own ambiguity, not navigate a large, slow-moving org
Deep hands-on experience with Kubernetes (EKS or ECS), GitHub Actions, Terraform, CI/CD pipelines, and Helm/Argo
Real database experience with Postgres and DocumentDB (Mongo) across RDS/Aurora
A track record of working cross-functionally — managing timelines, setting expectations, and collaborating with other teams' engineers, not just your own
Already using AI as part of your actual workflow (coding, debugging, design)

Preferred

Crossplane
Datadog

What sets you apart

Proactivity and bias to action — you don't wait for permission to fix what's broken
Comfort driving change across teams with different priorities and some natural resistance
Genuine fluency talking through your own technical decisions in depth — the "how" and "why," not just the "what"

Compensation

Compensation for this position includes a base salary, equity, and a variety of benefits. The U.S. base salary range for this role is $165,000 - $195,000 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: