Senior SRE/Platform Engineer

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Synopsis of the role

Site Reliability Engineering (SRE)/Platform Engineering 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

• Kubernetes Management: Design, provision, and manage hardened, secure, cost-optimized GKE and AWS EKS production clusters.

• Infrastructure as Code: Standardize automated, cross-cloud infrastructure delivery utilizing Terraform.

• GitOps CD: Maintain a GitOps model via ArgoCD to match environment state directly to code repositories.

• Deployment Strategies: Execute Canary deployments (online, live-traffic validation) and Blue-Green deployments (offline/batch, zero-downtime, instant rollback).

• Cloud Networking: Architect complex topologies including VPCs, Shared VPCs, Peering, Transit Gateways, and Cloud Interconnect/Direct Connect.

• Security & Connectivity: Manage cross-cloud connectivity and enforce zero-trust network policies within Kubernetes.

• Observability: Implement end-to-end distributed tracing and infrastructure monitoring using DataDog.

• Telemetry & Alerting: Build custom dashboards, monitors, and SLO/SLI alerts for deep visibility into app and infra health.

• Architectural Partnership: Translate Enterprise Architects' high-level blueprints into automated, scalable, and secure technical implementations.

• FinOps Governance: Drive AWS/GCP/Azure cost-saving (rightsizing, Spot/Preemptible instances, storage tiers) and automated governance (tagging, lifecycle policies, budget alerts).

What experience you need

• Professional Experience: Requires 7–10+ years of enterprise-scale experience in Platform Engineering, Site Reliability Engineering (SRE), or DevOps

• Multi-Cloud Ecosystems: Proven mastery managing production-grade environments across AWS and Google Cloud (GCP), plus Azure experience specifically for cost governance

• Deep Kubernetes Expertise: 4+ years of hands-on experience provisioning and managing EKS and GKE clusters, including production upgrades, hardening, and namespace isolation

• Infrastructure as Code (IaC): Advanced proficiency with Terraform for multi-cloud resource provisioning, utilizing modular, reusable code and state management.

• GitOps & CI/CD Automation: Experience building declarative workflows using ArgoCD or Flux, alongside automated pipelines that integrate security scanning, testing, and validation.

• Advanced Deployment Strategies: A proven track record of executing Canary deployments for high-traffic online services and Blue-Green deployments for large-scale batch/offline workloads.

• Multi-Cloud Networking & Zero-Trust Security: Expertise in hybrid architectures (Transit Gateways, Shared VPCs, Direct Connect/Cloud Interconnect) combined with Kubernetes Network Policies and cloud IAM management.

• Observability & Reliability: Hands-on experience with DataDog APM for distributed tracing, dashboard creation, defining SLIs/SLOs, and configuring alerting logic to reduce MTTR.

• FinOps & Cost Governance: Capability to lead cloud financial initiatives through workload rightsizing, strategic use of Spot/Preemptible instances, and building automated policy enforcement for cloud spend

• System Design & Certifications: Experience collaborating with Enterprise Architects to design systems across the "5 Pillars" (Well-Architected Framework). Highly prefers candidates with CKA (Required), AWS Solutions Architect Professional, Google Professional Cloud Architect, and FinOps Certified Practitioner (FCP).

What could set you apart

• "Platform-as-a-Product" Mindset: Ability to treat infrastructure as a product to champion the developer experience, leveraging internal portals like Backstage.

• Developer Tooling Optimization: Experience building custom CLI tools to streamline and simplify the development "inner loop.

• Advanced Kubernetes Security: Possession of a Certified Kubernetes Security Specialist (CKS) credential or deep experience managing production runtime security.

• Policy & Governance Architecture: Hands-on experience implementing cloud-native security and compliance using OPA (Open Policy Agent), Kyverno, or Falco.

• Service Mesh Mastery: Advanced proficiency with Istio, Linkerd, or Consul to govern complex service-to-service communication, mTLS, and traffic shifting.

• Custom Kubernetes Development: Strong engineering skills in Go or Rust to build custom Kubernetes Operators and CRDs for tailored automation

• Chaos Engineering Practice: Experience executing proactive resilience testing and "game days" using Gremlin, AWS Fault Injection Simulator, or Chaos Mesh.

• FinOps Unit Economics: Capability to calculate the exact unit cost of a transaction or service to align cloud architecture with business ROI.

• AI/ML Infrastructure (MLOps): Experience managing GPU-accelerated workloads on Kubernetes (NVIDIA device plugins) and model pipelines via Vertex AI or SageMaker.

• Open Source Contribution: Active engagement with the CNCF community and a history of contributing directly to core ecosystem tools like Terraform providers or ArgoCD plugins.

This is an existing position

This role has a base salary range of $139,008 - $182,448 The final salary selected from this range is dependent on the location of the role as well as the experiences & capabilities of the candidate selected. We offer comprehensive compensation and healthcare packages, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! At Equifax, we value and celebrate diversity. We are committed to fostering an inclusive, equitable, and accessible workplace where every member of our team feels respected, supported, and has the opportunity to reach their full potential. We strongly encourage applications from people with disabilities. Accommodations are available upon request for candidates participating in all aspects of the recruitment process. For a confidential request, please contact your recruiter or email us at [email protected] to make arrangements. If you have any questions regarding accessibility at Equifax, you can also contact us at this same email address, [email protected].

Travailler chez Equifax 

Nous croyons en une mentalité de croissance. Chez Equifax, cela comprend offrir à nos employés des occasions de donner le meilleur d’eux-mêmes et d’acquérir de nouvelles compétences en cours de route pour inspirer et bâtir des carrières épanouissantes.