Site Reliability Engineer (SRE)

📋 Job Overview

Clear Street’s mission is to give every sophisticated investor access to every asset, in every market, through a unified platform built for speed, transparency and scale. We give our clients the technology, tools, and service once reserved for the largest institutions, rebuilt with modern infrastructure. Our single, cloud-native, end-to-end capital markets platform powers investor growth today and is transforming how they can interact with markets tomorrow.

🏢 About Clear Street

Clear Street’s mission is to give every sophisticated investor access to every asset, in every market, through a unified platform built for speed, transparency and scale. We give our clients the technology, tools, and service once reserved for the largest institutions, rebuilt with modern infrastructure. Our single, cloud-native, end-to-end capital markets platform powers investor growth today and is transforming how they can interact with markets tomorrow.

🎯 The Role

As a Site Reliability Engineer (SRE) you sit at the intersection of software reliability and operational excellence. You own the health, resilience, and recovery of our production systems—while spending equal energy innovating solutions that eliminate human toil, reduce incident blast radius, and raise the reliability bar across the entire platform. You will partner closely with engineering, operations, and business teams to understand daily pain points and translate them into lasting automated solutions. Half your time is spent in the trenches—supporting production, responding to incidents, and deeply understanding how our systems behave under real conditions. The other half is yours to build: automation, tooling, and observability platforms that make tomorrow's on-call shift meaningfully easier than today's.

✅ Key Responsibilities

• Design and build comprehensive monitoring and observability platforms that surface the right signal at the right time—eliminating alert fatigue and accelerating root-cause analysis.
• Develop intelligent automation and self-healing capabilities that diagnose issues, trigger recovery workflows, and reduce mean time to recovery (MTTR) without manual intervention.
• Analyze incidents, identify systemic trends, and engineer solutions that prevent entire classes of failures from recurring.
• Build reusable runbooks, diagnostic tooling, and recovery playbooks that turn tribal knowledge into scalable platform capabilities.
• Create golden-path operational workflows—making the safest, most reliable path also the easiest one for engineering teams to follow.
• Partner with Platform Engineering to influence CI/CD pipelines, deployment safety, and infrastructure resilience from a production reliability perspective.
• Champion Infrastructure as Code, GitOps, and SRE best practices while helping teams adopt modern engineering workflows.
• Continuously measure production health through SLIs/SLOs/SLAs, and drive engineering priorities based on reliability data.
• Explore emerging technologies—including AI-assisted diagnostics and developer tooling—that transform how we operate production systems.

📌 Required Qualifications

• Strong hands-on Python skills—this is your primary language for automation and tooling.
• Experience in SRE, Production Engineering, Platform Engineering, or a related discipline with direct production ownership.
• Proven track record of building automation and diagnostic tooling that improved recovery times or reduced operational toil.
• Deep familiarity with cloud-native technologies—Kubernetes, containers, distributed systems—and how they fail in production.
• Experience with observability platforms such as Datadog, and a strong intuition for what \"good\" monitoring looks like.
• Exposure to Infrastructure as Code (Terraform) and GitOps-based deployment workflows (ArgoCD, GitHub Actions, or similar).
• Familiarity with the broader technology stack: Java, Go, Kafka, Redis, Snowflake, and Postgres.
• Strong analytical and problem-solving skills—you thrive on ambiguous, high-stakes production problems.
• A product mindset applied to operational tooling: you think about usability, adoption, and documentation when building internal solutions.
• Excellent communication skills and the ability to work fluidly across engineering, operations, and business stakeholders.
• Self-starter mentality—you identify opportunities, take initiative, and deliver with minimal supervision.
• Curiosity and a continuous learning mindset; fintech or financial industry background is a plus.

⭐ Desirable Experience

None specified.

🎁 Benefits

Benefits information not specified in the job posting.

🛂 Visa & Eligibility

Visa and eligibility information not specified in the job posting.