Sr. Site Reliability Engineer

MeridianLink; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

MeridianLink is seeking a Senior Site Reliability Engineer to join our cloud engineering team. You will own reliability, scalability, and observability of our financial SaaS applications and infrastructure across cloud platforms, ensuring secure and high-performing services.

This high-impact role involves shaping SLOs/SLIs, building runbooks, implementing IaC, and advancing AIOps. You will mentor teams and drive incident response improvements in a regulated fintech environment.

Qualifications

• 7+ years of SRE/DevOps with production systems responsibility.
• Expert-level AWS and/or Azure experience.
• Strong observability expertise with monitoring, logging, and tracing.
• Proficiency in Python and scripting for automation.

Responsibilities

• Define SLOs and SLIs for critical systems.
• Design and deploy observability architectures.
• Develop runbooks and post-incident reviews.
• Architect and deploy cloud infrastructure on AWS or Azure.
• Implement infrastructure-as-code and DR strategies.
• Build automation and AIOps capabilities.
• Conduct reliability reviews with cross-functional teams.
• Write production-grade tooling in Python.
• Ensure security and compliance in fintech environment.

Skills

SRE experience

AWS & Azure

Observability design

Python tooling

Infrastructure as Code

Incident management

AIOps

Monitoring & tracing

Tools

Prometheus

Grafana

ELK

Datadog

New Relic

Job description

About the Role

We are seeking a Senior Site Reliability Engineer to join our cloud engineering team. You will own the reliability, scalability, and observability of our critical financial SaaS applications and infrastructure, working across cloud platforms to ensure our customers experience is seamless, secure, and performant services. This is a high-impact role for someone who is passionate about building resilient systems and preventing outages before they happen.

Key Responsibilities

• Design, implement, and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs) across all critical systems; ensure we meet or exceed targets consistently
• Lead observability strategy by designing comprehensive monitoring, logging, and tracing architectures; select and deploy observability tools that provide deep visibility into system behavior
• Build and own runbooks, incident response procedures, and post-incident review processes; mentor the team on incident management and blameless postmortems
• Architect and deploy cloud infrastructure on AWS or Azure; implement infrastructure-as-code practices and ensure high availability, disaster recovery, and business continuity
• Develop automation and AIOps capabilities to reduce toil, accelerate incident detection, and enable self-healing systems; implement intelligent alerting to minimize false positives
• Drive reliability improvements through load testing, chaos engineering, and failure scenario analysis; identify and eliminate single points of failure
• Partner with application and backend teams to design reliable systems from inception; conduct architecture reviews and reliability assessments
• Write production-grade Python tooling for automation, metrics collection, alert management, and operational workflows
• Champion security and compliance in infrastructure; implement defense-in-depth principles for a regulated fintech environment

Required Qualifications

• 7+ years in Site Reliability Engineering, DevOps, platform engineering, or closely related roles with significant responsibility for production systems
• Expert-level experience with Azure or AWS (or both); deep knowledge of compute, networking, storage, and managed services; experience managing infrastructure at scale
• Demonstrated expertise in observability: designing and implementing monitoring, alerting, logging, and distributed tracing solutions; hands-on with observability platforms (e.g., Prometheus, Grafana, ELK, Datadog, New Relic, or similar)
• Strong background in SLOs, SLIs, and SLAs; experience defining meaningful objectives and building systems to meet them; understanding of error budgets and their role in prioritization
• Proven experience designing and troubleshooting highly available, resilient, and scalable systems; deep understanding of distributed systems concepts and failure modes
• Proficiency in Python, PowerShell, bash, etc. scripting languages for production automation, tooling, and systems programming; ability to write clean, maintainable code for operat