Senior Site Reliability Engineer

<p class="p1"><strong>Donnelley Financial Solutions (DFIN)</strong> is the leading provider of innovative, software and technology&ndash;enabled financial regulatory and compliance solutions. Supporting every stage of our clients&rsquo; business and investment lifecycle, DFIN provides regulatory filing and transactional deal solutions to public and private companies, mutual funds, and other regulated investment firms.</p>

US

DFIN

<p>Donnelley Financial Solutions (DFIN) is the leading provider of innovative, software and technology-enabled financial regulatory and compliance solutions.</p> <p>We provide regulatory filing and deal solutions to public and private companies, mutual funds, and other regulated investment firms. We support every stage of our clients&rsquo; business and investment lifecycles.</p> <p>After 33 years as the financial division of RR Donnelley &amp; Sons, DFIN became a standalone public company on October 1, 2016.</p> https://www.dfinsolutions.com/

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Full Time

Overview: 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&nbsp;Senior Site Reliability Engineer&nbsp;is responsible&nbsp;for ensuring our SaaS products are fast, stable and optimized for our customers. SRE&rsquo;s at DFIN take on availability, performance, managing change, monitoring, response and are guardians of non-functional requirements.
Responsibilities: <ul> <li>Champion and implement a culture of SRE to maintain a high-quality, resilient and observable platform infrastructure in DFIN SaaS products.</li> <li>Be an MTTR advocate and Incident Commander.</li> <li>Leverage AI tools to enhance system reliability, including intelligent observability, incident prediction and automated remediation across cloud infrastructure.</li> <li>Evaluate and implement emerging AI powered operations and observability solutions to proactively improve system performance, reliability and scalability.</li> <li>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.</li> <li>Optimize application performance at scale.</li> <li>Automate everything including system operational runbooks.</li> <li>Define and support continuous integration and deployment pipelines (CI/CD) aligned to branching and quality assurance strategies.</li> <li>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.</li> <li>Perform with broad independence and deliver on project milestones and tasks on schedule while communicating progress regularly.</li> <li>Build strong relationships with SRE team members and software engineering teams to hold each other accountable for quality expectations.</li> <li>Learn continuously and apply lessons learned.</li> <li>Evangelize best practices, eliminate bottlenecks, and improve process.</li> <li>Participate in on-call duties 365/24/7 and lead the triage and RCA of production incidents.</li> </ul>
Requirements: <ul> <li>5+ years' managing Azure or AWS cloud infrastructure.</li> <li>5+ years' programming in C#/.NET, Java, or similar.</li> <li>5+ years with CI/CD and Infrastructure as Code using Azure DevOps, Harness, Ansible, Jenkins, Terraform, or similar.</li> <li>5+ years with production monitoring using Datadog, Dynatrace, New Relic, AppDynamics, or similar.</li> <li>5+ years' scripting with PowerShell, Python, or Bash.</li> <li>Experience supporting 24x7, client-facing production systems.</li> <li>Experience with AI/AIOps and CloudOps automation.</li> <li>Experience with Kubernetes and containers (AKS/EKS).</li> <li>Experience with SQL/Cosmos database monitoring and optimization.</li> <li>Knowledge of cloud networking, firewalls, and load balancing.</li> <li>Experience with production security and post-deployment validation.</li> <li>Strong DevOps, automation, troubleshooting, and reliability skills.</li> <li>AI, Cloud AI, or AIOps certifications/training preferred.</li> </ul> <br /><strong>Education:</strong> <ul> <li>BS in Computer Science or equivalent experience.</li> </ul>