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Remote posting and general SRE demand but lesser-known employer yields moderate competition.
Core SRE skills like Kubernetes, CI/CD, and monitoring are readily transferable across industries.
Extensive mandatory tooling and domain experience requirements will strongly filter candidates.
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Own performance testing and automation using tools like JMeter, Gatling, Locust, or k6.
Operate and optimize container orchestration using Docker and Kubernetes, including Helm and autoscaling management.
Develop and maintain monitoring and alerting systems leveraging Prometheus, Grafana, ELK, and APM tools while analyzing latency and error metrics to ensure system reliability.
Hands-on experience with load testing tools such as JMeter, Gatling, Locust, or k6.
Proficient with Docker and Kubernetes including Helm, kubectl, namespaces, and autoscaling.
At least 1-2 years experience on cloud platforms such as Azure or GCP.
Proficiency in Java, Python, or JavaScript scripting/coding for test automation and infrastructure as code using Ansible.
Experienced in microservices architecture and service mesh concepts with practical knowledge of profiling JVM, memory leaks, and performance bottlenecks.
Skilled in building and optimizing CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Concord.
Ability to interpret advanced performance metrics (P50/P90/P95/P99 latency, throughput, error rates) and implement GitOps workflows with deployment automation best practices.