Senior Site Reliability Engineer

Join a dynamic team at the pulse of global markets, where we deliver innovative software and service solutions for essential financial reporting and capital markets transactions. At DFIN, we are a values-driven organization that empowers you to build a fulfilling career while bringing your authentic self to work every day. Our “Win as One” mentality ensures that our team’s success is directly linked to Client, Shareholder and Employee Satisfaction.

In 2026, DFIN was named #1 on the 2026 Top 100 Global Most Loved Workplaces® by Best Practice Institute. We have also been recognized as one of America’s Most Loved Workplaces® for five consecutive years and a Built In Best Place to Work for six years, reflecting our continued commitment to supporting employees’ total well-being. Enjoy competitive compensation, a flexible workplace, comprehensive benefits, and opportunities for professional growth. Bring your passion and talents to DFIN – because being YOU thrives here.

Summary:

We are looking for technical team members at all levels who want to push themselves to deliver best in market SaaS solutions. We offer a challenging environment where you will have to grow, adapt and use your skills consistently. Our customers rely on us in the moments that matter. Engineering delivers on that promise. The Senior Site Reliability Engineer is responsible for ensuring our SaaS products are fast, stable and optimized for our customers. SRE’s at DFIN take on availability, performance, managing change, monitoring, response and are guardians of non-functional requirements.

Responsibilities:

Champion and implement a culture of SRE to maintain a high-quality, resilient and observable platform infrastructure in DFIN SaaS products

Be an MTTR advocate and Incident Commander.

Leverage AI tools to enhance system reliability, including intelligent observability, incident prediction and automated remediation across cloud infrastructure

Evaluate and implement emerging AI powered operations and observability solutions to proactively improve system performance, reliability and scalability

Champion and implement application and infrastructure monitoring and alerting to prevent client impacting issues by ensuring system availability, performance and scalability to maintain SLOs and SLAs

Optimize application performance at scale

Automate everything including system operational runbooks

Define and support continuous integration and deployment pipelines (CI/CD) aligned to branching and quality assurance strategies

Dive deep into technology and stay on the forefront of the latest tools, technologies, and strategies; help evaluate, prototype, and integrate them into work processes

Perform with broad independence and deliver on project milestones and tasks on schedule while communicating progress regularly

Build strong relationships with SRE team members and software engineering teams to hold each other accountable for quality expectations

Learn continuously and apply lessons learned

Evangelize best practices, eliminate bottlenecks, and improve process

Participate in on-call duties 365/24/7 and lead the triage and RCA of production incidents

Qualifications:

5+ years managing Azure or AWS cloud infrastructure

5+ years programming in C#/.NET, Java, or similar

5+ years with CI/CD and Infrastructure as Code using Azure DevOps, Harness, Ansible, Jenkins, Terraform, or similar

5+ years with production monitoring using Datadog, Dynatrace, New Relic, AppDynamics, or similar

5+ years scripting with PowerShell, Python, or Bash

Experience supporting 24x7, client-facing production systems

Experience with AI/AIOps and CloudOps automation

Experience with Kubernetes and containers (AKS/EKS)

Experience with SQL/Cosmos database monitoring and optimization

Knowledge of cloud networking, firewalls, and load balancing

Experience with production security and post-deployment validation

Strong DevOps, automation, troubleshooting, and reliability skills

AI, Cloud AI, or AIOps certifications/training preferred

Education

BS in Computer Science or equivalent experience

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