We are seeking a Site Reliability Engineer III who is eager to contribute to the transformation of the insurance industry with our leading cloud platform. As a member of the SRE-Application team, youll play a critical role in ensuring the reliability, performance, and scalability of applications running on our Guidewire Cloud Platform. This position offers a unique opportunity to apply your skills in automation, software engineering, and operational discipline to support our cloud-based solutions.
What Youll Do
Work with development teams to troubleshoot and resolve issues, minimizing customer impact.
Develop and maintain automated runbooks to manage issues proactively.
Apply engineering principles and automation to enhance our operating environments.
Monitor and improve the reliability and performance of applications on the Guidewire Cloud Platform.
Use your software engineering expertise to optimize systems and reduce manual toil.
Document incidents and develop processes to prevent future occurrences.
Stay current with industry trends, tools, and best practices in site reliability engineering.
Foster a culture of innovation, learning, and continuous improvement.
Participate in on-call rotations to ensure the availability and reliability of our services.
What Youll Bring
Experience as an SRE or similar role, with a focus on improving system reliability.
Strong problem-solving skills and the ability to analyze complex systems and devise effective solutions.
Effective collaboration and communication skills to work cross-functionally and document processes clearly.
Experience with automation, monitoring, and performance optimization tools and techniques.
Commitment to maximizing uptime, scalability, and delivering an exceptional end-user experience.
Passion for technology and a desire to continuously learn and grow your skills.
Alignment with Guidewires mission to leverage technology to help protect and support others.
Required Skills:
5 years of relevant work experience
Software engineering background with experience in Python, Go, or Java, following best practices (SOLID, DRY, KISS) and writing clean, testable code
Experience with designing and implementing SLIs, SLOs, and Error Budgets
Familiarity with application performance monitoring (APM) and telemetry tools to maintain expected service levels for applications
Experience troubleshooting and debugging distributed systems on cloud infrastructure
Experience with CICD pipelines within K8S and legacy ecosystems
Experience creating monitors, dashboards, and synthetic transactions in monitoring tools like Datadog
Experience deploying and managing scalable infrastructure within AWS and Kubernetes ecosystems using Terraform and other cloud-native approaches
Experience with infrastructure configuration management using tools such as GitOps, Puppet, or Ansible
Good understanding of cloud networking, security, and vulnerability management, with the ability to programmatically remediate infrastructure issues
Preferred Skills
SRE Certification in one or more categories
AWS Certification in one or more categories
Experience with SQL, database administration, data pipelines, performance tuning, and schema design
Familiarity with pipelining tools such as Team City, Bitbucket Pipelines, Jenkins, or GitHub Actions
Exposure to open-source distributed data processing frameworks such as Hadoop, Apache Spark, AWS RedShift, etc.
Experience with distributed systems, including microservices and event-driven architectures
