Mid-Level SRE Analyst

Jobtailor; Deutschland; Remote; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a Site Reliability/Platform Engineer to design and operate scalable cloud platforms on AWS, with Kubernetes and IaC. You will implement observability, automate processes, and drive reliability across data and AI workloads.

Join a team focused on incident response, SLOs/SLIs, and cost-efficient platforms. A degree and hands-on AWS/Kubernetes experience are required, with intermediate English proficiency.

Qualifikationen

• 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.

Aufgaben

• 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, IaC, and self-service capabilities.
• Implement observability solutions using Datadog, including monitoring, logging, tracing, dashboards, and SLO management.
• Support and optimize large-scale data processing environments using Airflow, EMR, S3, and other AWS data services.
• 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.

Kenntnisse

Mentoring

Incident Response Leadership

Collaboration

English proficiency

Ausbildung

Bachelor's degree

Tools

AWS Services

Kubernetes

Terraform

Datadog

Prometheus

Grafana

OpenTelemetry

Airflow

EMR

S3

CI/CD tooling

Jobbeschreibung

• 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