Mid-Level SRE Analyst

This is a fully remote position, open to applicants in Texas.

📋 Description

• Design and manage highly available, scalable, and secure cloud platforms on AWS.

• Build and sustain Kubernetes-based infrastructure to support applications, data, and AI workloads.

• Enhance platform reliability through automation, Infrastructure as Code (IaC), and self-service capabilities.

• Implement and improve observability solutions using Datadog, covering monitoring, logging, tracing, alerting, dashboards, and SLO management.

• Support and optimize expansive data processing environments utilizing Airflow, Amazon EMR, S3, and other AWS data services.

• Collaborate with Data and AI teams to bolster the reliability, scalability, and operational maturity of Machine Learning and Artificial Intelligence platforms.

• Lead incident response efforts, perform root cause analyses, and conduct post-incident reviews.

• Define and track SLIs, SLOs, and error budgets.

• Enhance deployment processes, CI/CD pipelines, and release reliability.

• Optimize cloud infrastructure for utilization, performance, and cost-efficiency.

• Mentor team members and advocate for SRE best practices throughout the engineering organization.

• Increase platform availability and reliability.

• Enhance observability and decrease incident resolution time.

• Boost automation and minimize repetitive manual operational tasks.

• Deliver dependable, scalable, and cost-effective Data and AI platforms.

• Collaborate with Engineering teams to create resilient production systems.

⛳️ Requirements

• Currently pursuing or have attained a bachelor's degree.

• Extensive experience in Site Reliability Engineering, Platform Engineering, Cloud Engineering, or DevOps roles.

• Strong hands-on expertise with AWS services and cloud-native architectures.

• In-depth knowledge of Kubernetes and containerized workloads in production settings.

• Experience in managing and troubleshooting large-scale distributed systems.

• Solid experience with observability platforms, preferably Datadog.

• Experience supporting data platforms and pipelines utilizing technologies such as Airflow, EMR, Spark, and S3.

• Proficient in Infrastructure as Code (IaC) using Terraform or similar tools.

• Experience in building and maintaining CI/CD pipelines and automating platforms.

• Strong understanding of Linux, networking, and system performance troubleshooting.

• Proficiency in scripting and automation with Python, Bash, or similar languages.

• Experience supporting large-scale cloud-native platforms in AWS environments.

• Experience operating Kubernetes platforms and managing cluster lifecycles.

• Knowledge of Site Reliability Engineering principles, including SLOs, SLIs, error budgets, and operational excellence practices.

• Familiarity with implementing observability solutions using tools like Datadog, Prometheus, Grafana, OpenTelemetry, or similar technologies.

• Experience with data processing and workflow orchestration platforms such as Airflow, Spark, or EMR.

• Experience in Infrastructure as Code (IaC) and platform automation methodologies.

• AWS, Kubernetes, Terraform, or Datadog certifications.

• Experience in large-scale, highly available, or mission-critical enterprise environments.

• Intermediate proficiency in technical English.

🏝️ Benefits

• Remote work opportunities.

• Full-time Employee Status: Regular.

• Affirmative action position for women.

• Development opportunities focused on gender equity and the Women in Experian group.