Beacon by Clearwater is the AI-powered risk analytics and modeling arm of the Clearwater platform, giving institutional investors the tools to test scenarios and evaluate portfolio exposures in real time.
As Clearwater brings Beacon to more clients, the number of client environments we provision, monitor, and support grows with it and the only way that works is through standardization and automation. This team builds the tooling that keeps a growing fleet of client deployments consistent, observable, and supportable: automating away repetitive operational work, turning incident learnings into permanent platform fixes, and giving client-facing teams the self-service tools they need to onboard and support clients without engineering escalations.
What You’ll Do- Build internal tools and automation primarily in Python to monitor, diagnose, and support a fleet of client deployments across AWS and Azure.
- Drive standardization across client environments: detect and remediate configuration and infrastructure drift, converge legacy deployments onto golden paths, and make “the standard way” the easy way.
- Improve fleet-wide observability: build monitoring, alerting, and dashboards that surface problems across all client deployments before clients notice them.
- Turn runbooks into code; converting the manual diagnostic and remediation steps support engineers perform today into automated checks, self-healing jobs, and one-click tools.
- Extend the client provisioning and deployment pipeline (Terraform, configuration generation) to make onboarding new clients faster and more repeatable.
- Work directly with client-facing teams (onboarding, support, client success) to find where operational toil lives.
- 7-10 years of experience in software engineering, site reliability engineering, DevOps, or platform engineering.
- Strong programming skills in Python (our platform core and tooling language); comfort writing production-quality code with tests, not just scripts.
- Hands-on experience with at least one major cloud provider (AWS or Azure): networking (VPCs/VNets, subnets, security groups, load balancers, VPN), IAM/RBAC, storage, and compute.
- Working knowledge of infrastructure-as-code, ideally Terraform, and what it means to manage many environments from shared modules and per-environment configuration.
- Solid Linux fundamentals: you can read logs, trace a process, debug a service that won’t start, and automate what you did, so no one must do it by hand again.
- An automation reflex: when you solve a problem twice, your instinct is to build a tool.
- A collaborative, service-oriented mindset: your customers are internal teams, and your success is measured by how much easier you make their jobs.
- Experience operating multi-tenant or fleet-style environments (many similar deployments managed as one).
- Observability stack experience (metrics, log aggregation, alerting, dashboards).
- Formal incident management experience (on-call, postmortems, blameless RCA culture).
- Exposure to financial services, fintech, or other regulated environments.
- Direct, visible impact: every tool you ship makes onboarding the next client faster and supporting every existing client cheaper. This team is a force multiplier for the entire Beacon business.
- Breadth: you’ll touch cloud infrastructure, a large Python platform codebase, deployment pipelines, and the human workflows of support and onboarding teams.
- Growth: you’ll work across nearly every layer of a sophisticated financial-engineering platform, alongside experts in cloud infrastructure, quantitative finance, and large-scale SaaS operations.
Skills Required
- 7-10 years of experience in software engineering, site reliability engineering, DevOps, or platform engineering
- Strong programming skills in Python, producing production-quality code with tests
- Hands-on experience with at least one major cloud provider (AWS or Azure) including networking, IAM/RBAC, storage, and compute
- Working knowledge of infrastructure-as-code, ideally Terraform, managing shared modules and per-environment configuration
- Solid Linux fundamentals: reading logs, tracing processes, debugging services, and automating operational fixes
- An automation reflex and collaborative, service-oriented mindset (internal customer focus)
- Experience operating multi-tenant or fleet-style environments
- Observability stack experience (metrics, log aggregation, alerting, dashboards)
- Formal incident management experience (on-call, postmortems, blameless RCA)
- Exposure to financial services, fintech, or regulated environments
What the Team is Saying
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Clearwater Analytics (CWAN) Compensation & Benefits Highlights
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Retirement Support — A company 401(k) match with immediate vesting is consistently included alongside tax‑advantaged accounts. This indicates reliable long‑term savings support as part of the package.
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Equity Value & Accessibility — Equity participation is available through an employee stock purchase plan, with RSUs included for some roles. This adds ownership potential beyond base pay and bonus.
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Leave & Time Off Breadth — Paid time off is available from day one with a baseline around three weeks, plus company holidays and volunteer time. Flexible elements like work‑from‑home Fridays and limited “work from anywhere” periods broaden practical time‑off utility.
Clearwater Analytics (CWAN) Insights
What We Do
CWAN was founded on a simple belief: investment professionals deserve modern technology that actually works for them. Not legacy systems that slow them down. Not fragmented data that creates confusion. But one comprehensive platform that gives you complete visibility and crystal-clear insights. The result? Investment management that works as seamlessly as your investment strategy. Since our founding in 2004, CWAN has been the trusted technology partner powering the world’s leading institutional investors — from insurance companies, asset managers, and hedge funds to asset owners like corporations, endowments, and pension funds managing over $10 trillion in assets.
Why Work With Us
We continue to grow, fueled by a strong foundation, an ambitious vision, and a commitment to delivering exceptional value to our clients, partners, and team members around the world. What started as a bold idea in Boise, Idaho has rapidly transformed into a global presence. We’ve expanded our footprint significantly—now operating out of 24 offices
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Clearwater Analytics (CWAN) Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
