Lead Software Engineer, Cloud Site Reliability (SRE)
New
J
JobgetherCloud software
Work remotely from IndiaFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 8–12 years of experience in Cloud Operations, Site Reliability Engineering, or related DevOps roles
- Required Skills
- AWSDockerKubernetesMicrosoft AzureGrafanaPrometheusCI/CDTerraformHelm
Requirements
- Have 8–12 years of experience in Cloud Operations, Site Reliability Engineering, or related DevOps roles.
- Bring strong practical experience with Microsoft Azure, AWS, and GCP.
- Have hands-on production expertise with AKS, AWS ECS/EKS, Kubernetes, Docker, and container lifecycle management.
- Use Terraform, Helm charts, ARM templates, or comparable Infrastructure as Code frameworks.
- Understand cloud computing, storage, networking, compute resources, container orchestration, scalability, and high-availability design.
- Use PowerShell, Python, Bash, or similar scripting languages to automate operational tasks and incident response.
- Have experience building, maintaining, and improving CI/CD pipelines, deployment automation, and release management processes.
- Be familiar with Prometheus, Grafana, Azure Monitor, centralized logging, telemetry, alerting, and performance analysis.
- Understand reliability engineering, incident response, root-cause analysis, disaster recovery, automated remediation, and production system optimization.
- Have expertise applying AI/ML-driven operational practices, including predictive monitoring, anomaly detection, incident correlation, and self-healing.
- Be able to diagnose complex infrastructure and application issues and implement sustainable solutions in high-availability environments.
- Be able to coordinate across technical teams, influence engineering decisions, mentor colleagues, and communicate complex issues clearly.
Responsibilities
- Lead SRE initiatives to improve the availability, reliability, performance, and scalability of business-critical SaaS applications across multi-cloud environments.
- Design, implement, and maintain cloud-native infrastructure across Azure, AWS, and GCP.
- Manage and optimize containerized environments using AKS, ECS, EKS, Kubernetes, and Docker.
- Develop automated provisioning, deployment, scaling, and operational workflows using Terraform, Helm, ARM templates, and cloud-native tools.
- Collaborate with software engineering teams to maintain CI/CD pipelines and support safe, repeatable deployments.
- Improve telemetry, monitoring, logging, and alerting using Prometheus, Grafana, and Azure Monitor.
- Establish proactive incident detection, automated recovery, and self-healing mechanisms.
- Apply AI and machine learning to predictive monitoring, anomaly detection, incident correlation, and automated remediation.
- Partner with cloud providers to optimize infrastructure configurations, resource utilization, and operational costs.
- Mentor engineers and collaborate with engineering, platform, and operations teams on SRE and DevOps practices.
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