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Equifax · 3 hours ago

Support Engineer

St Louis, MO

Full-time

Hybrid

Mid, Senior Level

2+ years exp

Equifax is seeking creative, high-energy and driven Support Engineers with hands-on development skills to work on a variety of meaningful projects. The role involves monitoring and observability, production support, incident management, and engineering automation, utilizing tools like Datadog and programming languages such as Python and Java.

AnalyticsConsultingDatabase

No H1B

Responsibilities

Own Observability: Design, implement, and maintain a comprehensive monitoring strategy using Datadog (Metrics, APM, Logs, Synthetics, and RUM)

Build and refine sophisticated dashboards, SLOs/SLIs, and alerts to identify performance bottlenecks and potential failures before they become customer-facing incidents

Use Datadog's full suite to trace complex issues across distributed microservices, from the front-end to the database

Act as the technical lead during high-priority production incidents, coordinating cross-functional teams (Development, DevOps, Product) to drive rapid resolution

Conduct thorough, blameless post-mortems to identify the true root cause of incidents, documenting findings and tracking remedial actions

Participate in a rotating on-call schedule, serving as the primary escalation point for all production service issues

Confidently manage 'war room' scenarios, clearly communicating status, impact, and needs to both technical and business stakeholders

Apply your proficiency in Python, Go, Java, or .NET to perform hands-on code fixes for minor application bugs. You will be responsible for reading, debugging, and patching code to streamline the development lifecycle and reduce the backlog for primary engineering teams

Identify and automate repetitive manual tasks (toil) by building scripts, internal tools, and runbooks

Partner with software engineers to champion 'design for production,' providing feedback on logging, metrics, and application reliability from the support perspective

Qualification

DatadogJavaProduction Incident ManagementCloud PlatformsContainerizationCI/CD PipelinesPythonGoBashPowerShellProblem-solving

Required

Bachelor's degree or equivalent experience

2 - 5 years in a Software Engineering, Production Support, Site Reliability Engineering (SRE), or high-stakes DevOps role

2 - 5 years of Java, Spring, SpringBoot development experience

Datadog Expertise: Extensive, hands-on experience with the Datadog platform. You must be comfortable building complex dashboards, setting up monitors, and using APM and log analytics for deep-dive troubleshooting

Production Incident Management: Proven track record of leading the response to and resolution of critical incidents in a 24/7, high-availability environment

Development/Scripting: Strong prior development or scripting knowledge. Must be proficient in at least one language like Python, Go, Bash, or PowerShell. The ability to read and debug code in languages like Java, or Node.js

Core Tech: Deep understanding of: Cloud Platforms (AWS, Azure, or GCP), Containerization (Kubernetes, Docker), CI/CD Pipelines (Jenkins, GitLab CI, etc.)

Mindset: A calm, methodical, and detail-oriented approach to problem-solving, especially under pressure