- Design and operate highly available, scalable, and secure cloud platforms on AWS
- Build and maintain Kubernetes-based infrastructure to support applications, data, and AI workloads
- Improve platform reliability through automation, Infrastructure as Code (IaC), and self-service capabilities
- Implement and enhance observability solutions using Datadog, including monitoring, logging, tracing, alerting, dashboards, and SLO management
- Support and optimize large-scale data processing environments using Airflow, Amazon EMR, S3, and other AWS data services
- Work with Data and AI teams to improve the reliability, scalability, and operational maturity of Machine Learning and Artificial Intelligence platforms
- Lead incident response activities, root cause analyses, and post-incident reviews
- Define and measure SLIs, SLOs, and error budgets
- Improve deployment processes, CI/CD pipelines, and release reliability
- Optimize cloud infrastructure utilization, performance, and costs
- Mentor team members and promote SRE best practices across the engineering organization
- Increase platform availability and reliability
- Improve observability and reduce incident resolution time
- Increase automation and reduce repetitive manual operational effort
- Deliver reliable, scalable, and cost-efficient Data and AI platforms
- Collaborate with Engineering teams to deliver resilient production systems
Requirements
- Currently pursuing or have completed a bachelor's degree
- Solid experience in Site Reliability Engineering, Platform Engineering, Cloud Engineering, or DevOps roles
- Strong hands-on experience with AWS services and cloud-native architectures
- Deep knowledge of Kubernetes and containerized workloads in production environments
- Experience managing and troubleshooting large-scale distributed systems
- Solid experience with observability platforms, preferably Datadog
- Experience supporting data platforms and pipelines using technologies such as Airflow, EMR, Spark, and S3
- Expertise in Infrastructure as Code (IaC) using Terraform or similar tools
- Experience building and maintaining CI/CD pipelines and platform automation
- Strong knowledge of Linux, networking, and system performance troubleshooting
- Proficiency in scripting and automation using 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
- Experience implementing observability solutions using tools such as Datadog, Prometheus, Grafana, OpenTelemetry, or similar technologies
- Familiarity with data processing and workflow orchestration platforms such as Airflow, Spark, or EMR
- Experience with Infrastructure as Code (IaC) and platform automation practices
- AWS, Kubernetes, Terraform, or Datadog certifications
- Experience working in large-scale, highly available, or mission-critical enterprise environments
- Intermediate technical English
Core Competencies
Demonstrates expertise in designing and operating scalable, secure cloud platforms on AWS, with a strong focus on Kubernetes, Infrastructure as Code, and observability solutions. Proficient in enhancing platform reliability and automation while mentoring team members in Site Reliability Engineering best practices.
Highest-signal resume keywords
- AWS Services
- Kubernetes Management
- Infrastructure as Code (IaC)
- Observability Solutions (Datadog)
- CI/CD Pipeline Development
Hard Skills
- Site Reliability Engineering
- Platform Engineering
- Cloud Engineering
- DevOps
- Data Processing (Airflow, EMR, Spark)
- Scripting (Python, Bash)
- Linux System Performance
- Networking Troubleshooting
- Automation
- Cloud-Native Architectures
Soft Skills
- Mentoring
- Collaboration
- Incident Response Leadership
Certifications & Qualifications
- AWS Certification
- Kubernetes Certification
- Terraform Certification
- Datadog Certification
Industry Keywords
- Cloud Platforms
- Distributed Systems
- Operational Excellence
- SLOs
- SLIs
- Error Budgets
Tools & Technologies
- Datadog
- Terraform
- Prometheus
- Grafana
- OpenTelemetry
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Mid-Level SRE Analyst Arbeitgeber: Jobtailor
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