Site Reliability Engineer (SRE) – Cloud Infrastructure & Automation

Job Title:

Locations:

• Munich:

  Strong preference for GCP and AWS (Azure is a plus)

• Kirkland:

  Strong preference for Azure and AWS (GCP is a plus)

• Pune, India:

  Open to strong profiles with multi-cloud experience (AWS mandatory; GCP or Azure is a plus)

• Onsite Requirement:

  100% Onsite or Hybrid based on location and role level

Overview:

hands-on Site Reliability Engineer

You’ll play a key role in ensuring reliability, scalability, and performance of production systems across multi-cloud environments.

Key Responsibilities:

• Build and manage infrastructure as code using modern tooling (e.g., Terraform, ArgoCD).
• Design and operate Kubernetes-based production systems using open-source solutions.
• Develop automation tools and scripts to improve operational efficiency.
• Contribute to the development of highly available, fault-tolerant distributed systems.
• Monitor and maintain infrastructure health using Prometheus-compatible observability tools.
• Collaborate with developers to enable CI/CD pipelines and cloud-native application delivery.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Minimum 3 years of

  hands-on experience as a Site Reliability Engineer

  .
• Minimum 3 years of

  Kubernetes production experience

  , leveraging ecosystem tools.
• At least 3 years of experience developing production-grade software.
• Proficiency in at least one OOP language (Go, C++, Python preferred).
• Strong hands-on experience with

  AWS

  and one or more of

  GCP or Azure

  .
• Solid foundation in

  Linux

  and

  networking concepts

  .
• Proven experience in building and maintaining

  high-concurrency, highly available systems

  .

Nice to Have (Bonus Skills):

• Knowledge of

  application security

  in cloud-native environments.
• Familiarity with

  service mesh

  or

  multi-cluster mesh infrastructure

  (e.g., Cilium).
• Experience with

  observability stacks

  (Prometheus, Grafana, etc.).
• Experience using

  GitHub Actions

  or other modern CI/CD tools.
• Exposure to tools like

  ArgoCD

  ,

  Terraform

  ,

  FoundationDB

  ,

  Kafka

  , or

  Kubernetes operators

  .

Munich