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

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