Senior SRE: Cloud Reliability, Kubernetes & Automation

Dynatrace

Detroit (MI)

Hybrid

USD 127,000 - 191,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
Dental
Life insurance
STD
LTD
401K
PTO

Job summary

Dynatrace in Detroit, MI is seeking a Senior Site Reliability Engineer to join our Engineering team. You will automate manual tasks, optimize capacity, manage product releases, and design monitoring and alerting for large-scale cloud infrastructure.

You will also investigate production incidents and contribute to reliable, scalable operations across Kubernetes and hyperscaler platforms. Ideal candidates have 3+ years in scripting (Go, Python, Shell, or Java), strong Kubernetes experience, and

Qualifications

  • 3+ years of experience in scripting and/or programming languages such as Go, C, Shell, Python, or Java.
  • Proficiency in at least one hyperscaler (AWS, Azure, or GCP).
  • Hands-on experience with Kubernetes and cloud-native architectures.
  • Strong communication, problem-solving and critical-thinking skills.

Responsibilities

  • Automate Manual Tasks: Translate manual processes into automated solutions to boost efficiency.
  • Optimize Capacity Planning: Ensure cost-effective resource use while maintaining performance.
  • Product Release Management: Oversee release processes and drive continuous improvement.
  • Implement Monitoring & Alerting: Design and deploy automated monitoring for cloud infrastructure.
  • Incident Resolution: Investigate and resolve production incidents promptly.
  • Monitoring Configuration: Maintain robust monitoring for scalable production operations.
  • On-Call Support: Participate in on-call rotations to maintain system uptime.

Skills

Go
Python
Shell
Kubernetes
AWS
Azure
GCP
Teamwork
Communication

Job description

Dynatrace in Detroit, MI is seeking a Senior Site Reliability Engineer to join our Engineering team. You will automate manual tasks, optimize capacity, manage product releases, and design monitoring and alerting for large-scale cloud infrastructure.

You will also investigate production incidents and contribute to reliable, scalable operations across Kubernetes and hyperscaler platforms. Ideal candidates have 3+ years in scripting (Go, Python, Shell, or Java), strong Kubernetes experience, and

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