Sr. Site Reliability Engineer at MeridianLink

Confirmed open

Sr. Site Reliability Engineer opportunity with MeridianLink. See the official posting for responsibilities and application details.

MeridianLink

Location: Remote
Advertised region: US Remote / United States
Employment: FullTime
Work arrangement: remote
Technologies: Python, AWS, Azure, Kubernetes

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Role overview

The Sr. Site Reliability Engineer opening at MeridianLink is centered on 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… The employer also lists Design, implement, and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs) across all critical systems; ensure we meet or exceed targets consistently and Lead observability strategy by designing comprehensive monitoring, logging, and tracing architectures; select and deploy observability tools that provide deep visibility into… These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: Sr. Site Reliability Engineer opportunity with MeridianLink. See the official posting for responsibilities and application details. The named technologies include Python, AWS, Azure, Kubernetes.

The posting identifies 7+ years in Site Reliability Engineering, DevOps, platform engineering, or closely related roles with significant responsibility for production systems and Expert-level experience with Azure or AWS (or both); deep knowledge of compute, networking, storage, and managed services; experience managing infrastructure at scale as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as US Remote / United States. Confirm country eligibility, travel, employment terms and any details absent from this summary directly with MeridianLink before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.

Responsibilities

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.
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

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 operational workflows
Hands-on experience with AIOps practices: event correlation, intelligent alerting, predictive analytics, and automated remediation; familiarity with AIOps platforms is a plus
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Ansible); version control and CI/CD pipeline design
Track record of incident management and on-call ownership; comfort with incident response and the ability to remain calm under pressure
Excellent communication skills; ability to work cross-functionally and influence without authority; comfort mentoring junior engineers
Experience in the fintech, payments, banking, or other regulated industries; understanding of compliance requirements (SOC 2, PCI-DSS, etc.)
Experience with Kubernetes and container orchestration; deep knowledge of containerized application deployment and management
Proficiency with observability as code; experience building custom metrics, dashboards, and alerts programmatically
Background in chaos engineering or reliability testing; experience using tools like Gremlin or similar platforms
Contribution to open-source observability or infrastructure projects
Expertise in network security, application security, or infrastructure hardening

Technology in this role

Python: The named technologies include Python, AWS, Azure, .
AWS: The named technologies include Python, AWS, Azure, .
Azure: The named technologies include Python, AWS, Azure, .
Kubernetes: The named technologies include Python, AWS, Azure, .
Terraform: familiarity with AIOps platforms is a plus Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, .
Ansible: familiarity with AIOps platforms is a plus Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, .
Bash: deep understanding of distributed systems concepts and failure modes Proficiency in Python, PowerShell, bash, .
PowerShell: deep understanding of distributed systems concepts and failure modes Proficiency in Python, PowerShell, bash, .
CI/CD: version control and CI/CD pipeline design Track record of incident management and on-call .
Prometheus: hands-on with observability platforms (e.g., Prometheus, Grafana, ELK, Datadog, New Relic, or similar) Strong background in SLOs, SLIs, and .
Grafana: hands-on with observability platforms (e.g., Prometheus, Grafana, ELK, Datadog, New Relic, or similar) Strong background in SLOs, SLIs, and .
Datadog: hands-on with observability platforms (e.g., Prometheus, Grafana, ELK, Datadog, New Relic, or similar) Strong background in SLOs, SLIs, and .
New Relic: hands-on with observability platforms (e.g., Prometheus, Grafana, ELK, Datadog, New Relic, or similar) Strong background in SLOs, SLIs, and .

About MeridianLink

This is a deeply technical, hands-on engineering role and an integral part of the platform itself. You will write the code that traces agent actions across a multi-agent workflow, adopt and extend leading open-source explainability and observability frameworks, and build the primitives product teams use to surface explanations to lenders, credit unions, and their borrowers. You should have real hands-on experience with LLM-based systems and a strong pull toward the problems of trust, tracing, and evaluation. You do not need to be an expert in all of it. This is a place to build that expertise while the platform is being built, working alongside a Staff engineer team lead and architects who will invest in your growth.

What it means to be an L2 AI Engineer at MeridianLink

L2 AI Engineers handle a broad range of work independently, from bug fixes to feature development. They have developed a specialization and are deepening it. They write code that other engineers trust, ask good questions, and are starting to help the engineers around them. L2 AI Engineers at MeridianLink are active, daily users of AI-assisted development tools.

Completes assigned features and bug fixes independently, with limited need for day-to-day guidance

Designs components within a well-defined scope; escalates questions on complex system design rather than guessing

Participates in code review and provides constructive feedback

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