Staff Engineer, Cloud Platform
New
J
JobgetherCloud SaaS
This is a remote opportunity within IndiaFull-TimeStaff
Salary not disclosed
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Job Details
- Languages
- Fluency in written and spoken English
- Experience
- 10+ years of software engineering experience, including at least 4 years in platform engineering, Site Reliability Engineering (SRE), or infrastructure roles supporting large-scale, 24/7 SaaS environments.
- Required Skills
- AWSPythonKubernetesGoGrafanaPrometheusTerraformDatadog
Requirements
- Bring 10+ years of software engineering experience, including at least 4 years in platform engineering, SRE, or infrastructure roles supporting large-scale, 24/7 SaaS environments.
- Have hands-on experience designing and operating observability solutions using Datadog, Prometheus, Grafana, and/or OpenTelemetry.
- Understand service instrumentation, SLO design, error budgets, alerting strategies, and production monitoring.
- Demonstrate success reducing cloud infrastructure costs and explaining measurable savings.
- Have practical experience with AWS cost-management tools such as Cost Explorer, Cost and Usage Reports (CUR), or Kubecost, including cloud commitment planning.
- Have strong Go or Python software development skills and experience building production-grade tools and automation.
- Bring production experience with both AWS and Google Cloud Platform (GCP), Terraform, and Kubernetes.
- Have owned on-call and incident management processes, led major incidents, and conducted root cause analyses that produced lasting improvements.
- Have built incident response or remediation automation, including AI agents or LLM-based tools for root cause analysis and automated remediation.
- Have designed and tested disaster recovery strategies for production SaaS systems, including RTO/RPO targets, recovery environments, replication, and failover exercises.
- Have a software engineering background and experience working with customer support teams to resolve technical issues and minimize customer impact.
- Provide staff-level technical leadership, influence multiple engineering teams, and drive shared standards and initiatives without direct managerial authority.
- Hold a Bachelor's degree in Computer Science or a related discipline, or have equivalent practical experience.
- Be fluent in written and spoken English and willing and able to participate in assigned on-call shifts and respond to production alerts.
- Preferred: FinOps Certified Practitioner credential or practical FinOps Framework experience; experience with cloud cost platforms, billing data pipelines, self-managed observability, eBPF monitoring, profiling, or vendor contracts.
Responsibilities
- Define platform observability strategy across AWS and GCP, including metrics, logs, traces, and events.
- Build and improve observability infrastructure, shared instrumentation libraries, and collectors.
- Establish SLIs, SLOs, error budgets, dashboards, and actionable alerting with service owners.
- Lead FinOps initiatives, including cost allocation, showback reporting, savings strategies, and cost-management automation.
- Own incident management processes and lead major incident response, root cause analysis, and corrective actions.
- Develop AI agents and automation to correlate operational data, identify root causes, and safely remediate known issues.
- Own business continuity and disaster recovery strategy, environments, automation, documentation, and testing across AWS and GCP.
- Write production-quality Go or Python code for platform tooling, exporters, data pipelines, and operational automation.
- Partner with customer support and product engineering teams to improve monitoring, resolve technical issues, and promote reliability and cost-conscious design.
- Review architecture, produce technical design documents, and mentor engineers in observability, reliability, and FinOps practices.
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