Lead cloud engineer
Maintec Technologies
Lead cloud engineer
Remote
We are seeking an experienced Lead Cloud Engineer with strong expertise in monitoring, observability, and cloud platform reliability . The ideal candidate will design, implement, and manage end-to-end observability solutions using Datadog, Grafana, and related monitoring stacks . This role will partner closely with DevOps, SRE, Application, and Infrastructure teams to ensure the health, performance, and availability of mission-critical systems across multi-cloud environments. Key Responsibilities
- Design and Implement Monitoring Solutions:
Architect and deploy scalable monitoring and observability frameworks using Datadog , Grafana , and Prometheus across AWS, Azure, or GCP environments. - Build Dashboards & Alerts:
Develop comprehensive dashboards, alerts, and performance indicators to enable proactive monitoring of applications, microservices, APIs, and infrastructure. - Integrate Observability Tools:
Integrate Datadog and Grafana with CI/CD pipelines, logging (ELK/CloudWatch), APM, and tracing systems for unified observability. - Define KPIs and SLOs:
Work with application and platform teams to define Service Level Objectives (SLOs) , Service Level Indicators (SLIs) , and error budgets . - Automation & Infrastructure as Code (IaC):
Automate provisioning, configuration, and management of monitoring tools using Terraform, CloudFormation, or Ansible. - Performance Analysis & Incident Management:
Analyze performance bottlenecks, conduct root cause analysis, and drive post-incident reviews with actionable insights. - Governance & Best Practices:
Establish observability standards, documentation, and best practices across development and operations teams. - Mentoring & Leadership:
Lead a small team of cloud engineers, providing technical guidance, code reviews, and skill development support.
- 8+ years of experience in Cloud Engineering , DevOps , or Site Reliability Engineering roles.
- Proven expertise with Datadog (metrics, logs, APM, RUM, synthetic monitoring, custom dashboards, alerting).
- Strong hands-on experience with Grafana , Prometheus , and OpenTelemetry .
- Solid understanding of cloud platforms - AWS, Azure, or GCP (certification preferred).
- Proficiency in Infrastructure as Code (Terraform/CloudFormation) and automation scripting (Python, Bash, PowerShell).
- Experience implementing observability pipelines , log forwarding, and distributed tracing.
- Familiarity with Kubernetes , Docker , and microservices architecture .
- Strong problem-solving, analytical, and communication skills.
- Experience implementing monitoring for Kubernetes clusters and serverless workloads .
- Knowledge of incident response automation and AIOps capabilities in Datadog.
- Exposure to security monitoring and compliance dashboards .
- AWS Certified DevOps Engineer, Azure DevOps Expert, or Datadog Certified Professional preferred.
Vacancy posted 2 days ago
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