Cloud & Infrastructure Sr. Engineer

Overview

We are looking for a Cloud & Infrastructure Site Reliability Engineer (SRE) to build, operate, automate, and continuously improve highly available cloud-native infrastructure powering blaZop's SaaS platform. You will work across public cloud, Kubernetes, compute, storage, networking, observability, and infrastructure automation, with a strong focus on reliability, scalability, security, and reducing manual operations.

The ideal candidate combines strong infrastructure fundamentals with a software engineering and automation mindset: someone who proactively identifies operational issues and engineers permanent solutions rather than relying on repetitive manual processes.

Specific Skills

• Strong hands-on experience with at least one major public cloud: AWS, Azure, or GCP
• Solid understanding of Linux administration and infrastructure fundamentals
• Experience with Kubernetes and containerized microservices
• Experience with Infrastructure as Code (Terraform and/or Ansible)
• Strong automation/scripting skills in Python and Bash (PowerShell a plus)
• Good understanding of networking, DNS, load balancing, firewalls, and cloud routing
• Experience with monitoring, logging, alerting, and observability platforms
• Understanding of CI/CD, Git, APIs, and modern DevOps practices
• Experience troubleshooting distributed production environments
• Understanding of security, IAM/RBAC, secrets, certificates, and infrastructure security
• Familiarity with database operations a plus

Preferred Skills

• Experience operating hybrid-cloud or multi-cloud environments
• Experience with VMware, Nutanix, OpenShift, or similar private-cloud technologies
• Experience building automated remediation or self-healing workflows
• Familiarity with AIOps, event correlation, anomaly detection, and AI-assisted operations
• Understanding of FinOps and cloud cost optimization
• Experience with ITSM platforms such as ServiceNow
• Cloud, Kubernetes, Linux, or Terraform certifications (AWS/Azure/GCP) are a strong plus

Responsible For

• Cloud & Infrastructure Operations: design, deploy, operate, and troubleshoot cloud-native infrastructure across AWS, Azure, and/or GCP, including compute, storage, networking, and containers; handle provisioning, upgrades, patching, and capacity management; resolve connectivity, DNS, and load-balancing issues
• Site Reliability Engineering: define and improve SLIs/SLOs, monitor for reliability risks, and drive incident response, root-cause analysis, and post-incident reviews; automate away recurring operational work and improve system resilience through redundancy and automated recovery
• Kubernetes & Microservices: deploy, manage, and troubleshoot containerized microservices on Kubernetes (EKS/AKS/GKE), including ingress, storage, secrets, and cluster health
• Infrastructure as Code & Automation: automate provisioning and operational workflows with Terraform, Ansible, Python, and Bash; build reusable IaC modules integrated into CI/CD
• Monitoring & Observability: implement monitoring, logging, tracing, and alerting (Prometheus, Grafana, OpenTelemetry, Datadog, CloudWatch, etc.) with meaningful dashboards and low-noise alerting
• Networking & Security: troubleshoot cloud networking (VPC/VNet, DNS, VPN, firewalls, load balancers); apply IAM/RBAC, secrets, and least-privilege security practices
• Incident & Production Support: participate in on-call rotations, own incidents end-to-end, and maintain runbooks and automated remediation procedures
• Cost & Performance Optimization: identify underutilized resources and support FinOps initiatives (rightsizing, scheduling, lifecycle management) while balancing cost with reliability

SRE Mindset

• Automate before repeating, and engineer permanent fixes instead of resolving the same incident twice
• Treat infrastructure and operational configuration as code
• Design for failure and recovery, and measure reliability using data
• Build reusable automation and operational standards
• Reduce operational toil and unnecessary tickets
• Continuously improve reliability, performance, security, and cost efficiency

Experience & Qualifications

• Bachelor's or Master's degree in Computer Science or a related field, with a minimum of 70%
• SRE Engineer: 2–6 years of relevant Cloud/Infrastructure/DevOps/SRE experience
• Cloud certifications (AWS, Azure, or GCP) are a strong plus