Cloud Native Data Ops

We are looking for a Senior Site Reliability Engineer (SRE) to help design, scale, and secure our rapidly growing platform infrastructure. You will work across all critical systems — from customer-facing applications and APIs to internal platforms and data services — ensuring availability, performance, and cost efficiency at scale. You’ll be hands-on with Kubernetes, observability, GitOps, automation, and cloud infrastructure, while partnering closely with application, platform, and data teams to deliver a highly reliable and self-healing environment. This role is ideal for an engineer who thrives on complex distributed systems, loves to automate everything, and can balance speed, stability, and cost-efficiency in production. • Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent work experience. • Design, deploy, monitor, and maintain production workloads across Kubernetes (EKS/AKS/GKE) clusters. • Build self-healing, auto-scaling systems that minimize manual intervention and ensure uptime. • Design and operate reliable database and storage platforms (SQL, NoSQL, and object stores) within Kubernetes environments. • Implement backup, disaster recovery, replication, and failover strategies to meet RPO/RTO targets. • Troubleshoot and recover Kubernetes Persistent Volumes (StorageClasses, CSI drivers, PVC issues). • Optimize storage performance and cost through multi-tier strategies, hot/cold data separation, and S3/offloading lifecycle policies. • Secure and scale object storage platforms (e.g., MinIO/S3-compatible) for high-throughput data pipelines. • Manage block storage (EBS/io2/gp3) and shared file systems (EFS, NFS) for resilience and cost balance. • Collaborate with teams to optimize networking, ingress/egress traffic, and service mesh for secure communication. Platform & Infrastructure Reliability • Design, deploy, monitor, and maintain production workloads across Kubernetes (EKS/AKS/GKE) clusters. • Build self-healing, auto-scaling systems that minimize toil and manual intervention. • Optimize networking, ingress/egress traffic control, and service mesh for secure & performant communication. • Design and operate reliable database and storage platforms (SQL, NoSQL, and object stores) in Kubernetes environments. • Own backup, disaster recovery, replication, and failover strategies to meet RPO/RTO targets for critical data services. • Optimize storage performance and cost through multi-tier strategies, hot/cold data separation, and S3/offloading lifecycle policies. • Troubleshoot and recover Kubernetes Persistent Volumes confidently during incidents (StorageClasses, CSI drivers, PVC issues). • Secure and scale object storage platforms (e.g., MinIO/S3-compatible) and integrate with workloads for high-throughput data pipelines. • Work with block storage (EBS/io2/gp3) and shared file systems (EFS, NFS) to balance performance, resiliency, and cost. Automation & Delivery • Champion GitOps and CI/CD best practices (ArgoCD, Flux, GitHub Actions). Build automation for infrastructure provisioning and upgrades using Terraform, Helm, and Kubernetes Operators. • Reduce release risk through progressive delivery strategies (blue/green, canary, spot instance rolling updates). Observability & Incident Response • Own the monitoring and alerting stack (Prometheus, Grafana, Loki, VictoriaMetrics, OpenSearch). • Lead incident management and postmortems to prevent recurrence. …