What are the responsibilities and job description for the Senior Site Reliability Engineer position at Equifax?
Site Reliability Engineering (SRE) at Equifax is a discipline that combines software and systems engineering for building and running large-scale, distributed, fault-tolerant systems. SRE ensures that internal and external services meet or exceed reliability and performance expectations while adhering to Equifax engineering principles.
SRE is also an engineering approach to building and running production systems – we engineer solutions to operational problems. Our SREs are responsible for overall system operation and we use a breadth of tools and approaches to solve a broad set of problems. Practices such as limiting time spent on operational work, blameless postmortems, proactive identification, and prevention of potential outages.
Our SRE culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Equifax brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn, grow and take pride in our work
What You’ll Do
An ability to demonstrate successful performance of our Success Profile skills, including:
SRE is also an engineering approach to building and running production systems – we engineer solutions to operational problems. Our SREs are responsible for overall system operation and we use a breadth of tools and approaches to solve a broad set of problems. Practices such as limiting time spent on operational work, blameless postmortems, proactive identification, and prevention of potential outages.
Our SRE culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Equifax brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn, grow and take pride in our work
What You’ll Do
- Manage system(s) uptime across cloud-native (AWS, GCP) and hybrid architectures.
- Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK).
- Build CI/CD pipelines for build, test and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native toolchains.
- Build automated tooling to deploy service requests to push a change into production. Build runbooks that are comprehensive and detailed to manage detect, remediate and restore services.
- Solve problems and triage complex distributed architecture service maps. On call for high severity application incidents and improving run books to improve MTTR
- Lead availability blameless postmortem and own the call to action to remediate recurrences.
- BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required
- 5-7 years of experience in software engineering, systems administration, database administration, and networking.
- 2 years of experience developing and/or administering software in public cloud
- Experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives.
- Experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js
- Demonstrable cross-functional knowledge with systems, storage, networking, security and databases
- System administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansible and/or containers (Docker, Kubernetes, etc.)
- Proficiency with continuous integration and continuous delivery tooling and practices
- Cloud Certification Strongly Preferred
An ability to demonstrate successful performance of our Success Profile skills, including:
- GCP Ecosystem: GKE, Storage, BigQuery, Spanner, PostgreSQL, GCE, and Secret Manager.
- Observability: Monitoring and alerting via Datadog and Google Cloud Monitoring.
- CI/CD: Pipeline automation using GitHub Actions, Jenkins, and ArgoCD.
- AI Innovation: Proficiency in AI tools, RAG, and MCPs.