Senior Site Reliability Engineer

Donnelley Financial Solutions

2d•Remote

About The Position

The Senior Site Reliability Engineer ensures DFIN’s SaaS products are fast, stable, and optimized for customers. The role supports availability, performance, change management, monitoring, incident response, and non-functional requirements. The engineer helps build resilient, observable platform infrastructure and promotes a culture of site reliability engineering across DFIN’s SaaS products. The role calls for broad independence, regular communication about progress, and collaboration with SRE and software engineering teams to uphold quality expectations. It also involves continuous learning, evaluating and integrating new technologies, and improving practices and processes. The position participates in round-the-clock on-call coverage and leads production incident triage and root-cause analysis.

Requirements

At least 5 years managing Azure or AWS cloud infrastructure.
At least 5 years programming in C#/.NET, Java, or a similar language.
At least 5 years working with CI/CD and Infrastructure as Code using Azure DevOps, Harness, Ansible, Jenkins, Terraform, or similar tools.
At least 5 years using production monitoring tools such as Datadog, Dynatrace, New Relic, AppDynamics, or similar.
At least 5 years scripting with PowerShell, Python, or Bash.
Experience supporting 24/7 client-facing production systems.
Experience with AI/AIOps and CloudOps automation.
Experience with Kubernetes and containers, including AKS/EKS.
Experience monitoring and optimizing SQL/Cosmos databases.
Knowledge of cloud networking, firewalls, and load balancing.
Experience with production security and post-deployment validation.
Strong DevOps, automation, troubleshooting, and reliability skills.
Bachelor of Science in Computer Science or equivalent experience.

Nice To Haves

AI, Cloud AI, or AIOps certifications or training.

Responsibilities

Champion and implement an SRE culture to maintain high-quality, resilient, and observable platform infrastructure for DFIN SaaS products.
Advocate for reduced mean time to resolution (MTTR) and serve as an Incident Commander.
Use AI tools to improve system reliability through intelligent observability, incident prediction, and automated remediation across cloud infrastructure.
Evaluate and implement AI-powered operations and observability solutions to proactively improve system performance, reliability, and scalability.
Implement application and infrastructure monitoring and alerting to prevent client-impacting issues and maintain system availability, performance, scalability, SLOs, and SLAs.
Optimize application performance at scale.
Automate operational tasks, including system runbooks.
Define and support CI/CD pipelines aligned with branching and quality assurance strategies.
Evaluate, prototype, and integrate current tools, technologies, and strategies into work processes.
Work independently on project milestones and tasks, deliver on schedule, and communicate progress regularly.
Build strong working relationships with SRE and software engineering teams and hold one another accountable for quality expectations.
Continue learning and apply lessons learned.
Promote best practices, eliminate bottlenecks, and improve processes.
Participate in 24/7/365 on-call duties and lead production incident triage and root-cause analysis.