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. - Provide real-time visibility into system health, performance, and cost metrics. Security & Compliance - Implement least-privilege IAM policies, secure service-to-service communication, and network ACLs/firewalls. - Enforce Kubernetes RBAC, secret management, and secure image supply chain. - Participate in audit readiness and compliance efforts. Performance & Cost Optimization - Analyze and tune system performance under scale (CPU/memory/IO). - Partner with product and platform teams to right-size clusters, databases, and storage tiers. Introduce cost visibility dashboards for engineering leadership. Preferred Qualifications - Experience managing mission-critical systems at scale (high traffic, multi-region). - Proven cost optimization in cloud/K8s environments. - Familiarity with service mesh (Istio, Linkerd) or advanced networking/egress control. - Experience with data platform components (Airflow, Debezium, ClickHouse, etc.) is a plus but not required. Strong communication skills and teamworker — able to collaborate across engineering, DevOps, security, and product teams. Requirements - 8+ years in SRE / DevOps / Infrastructure Engineering roles. - Deep Kubernetes expertise (multi-cluster, Helm chart development, advanced networking). - Strong GitOps workflows using ArgoCD/Flux. - Expertise with AWS (preferred) or Azure/GCP, plus Infrastructure-as-Code (Terraform, Pulumi, CloudFormation). - Advanced knowledge of SQL & NoSQL databases (MySQL/Aurora, PostgreSQL, MongoDB, Redis). - Scripting/automation sk

8+ years in SRE / DevOps / Infrastructure Engineering roles. Deep Kubernetes expertise (multi-cluster, Helm chart development, advanced networking). Strong GitOps workflows using ArgoCD/Flux. Expertise with AWS (preferred) or Azure/GCP, plus Infrastructure-as-Code (Terraform, Pulumi, CloudFormation). Advanced knowledge of SQL & NoSQL databases (MySQL/Aurora, PostgreSQL, MongoDB, Redis). Scripting/automation sk

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. 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). Own the monitoring and alerting stack (Prometheus, Grafana, Loki, VictoriaMetrics, OpenSearch). Lead incident management and postmortems to prevent recurrence. Provide real-time visibility into system health, performance, and cost metrics. Implement least-privilege IAM policies, secure service-to-service communication, and network ACLs/firewalls. Enforce Kubernetes RBAC, secret management, and secure image supply chain. Participate in audit readiness and compliance efforts. Analyze and tune system performance under scale (CPU/memory/IO). Partner with product and platform teams to right-size clusters, databases, and storage tiers. Introduce cost visibility dashboards for engineering leadership.