Cloud Native Data Ops

Job description

We are looking for a Senior Site Reliability Engineer (SRE) to 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, partnering closely with application, platform, and data teams to deliver a highly reliable and self‑healing environment. Design, deploy, monitor, and maintain production workloads across Kubernetes (EKS/AKS/GKE) clusters. Build self‑healing, auto‑scaling systems that minimize manual intervention. Design and operate reliable database and storage platforms (SQL, NoSQL, object stores) within Kubernetes. Implement backup, disaster recovery, replication, and failover strategies to meet RPO/RTO targets. Optimize storage performance and cost through multi‑tier strategies and hot/cold data separation. Secure and scale object storage platforms (e.g., the employer/S3‑compatible) and manage block storage (EBS/io2/gp3) and shared file systems (EFS, NFS). Collaborate to optimize networking, ingress/egress traffic, and service mesh for secure communication. Champion GitOps and CI/CD best practices (ArgoCD, Flux, GitHub Actions) and build automation with Terraform, Helm, and Kubernetes Operators. Own monitoring and alerting stack (Prometheus, Grafana, Loki, VictoriaMetrics, OpenSearch), lead incident management and postmortems, and provide real‑time visibility into health, performance, and cost metrics. Implement least‑privilege IAM policies, secure service‑to‑service communication, enforce Kubernetes RBAC and secret management, and support audit and compliance efforts. Analyze and tune system performance, right‑size clusters and storage, and introduce cost dashboards for engineering leadership.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field or equivalent work experience
• 8+ years in SRE/DevOps/Infrastructure Engineering roles
• deep Kubernetes expertise (multi‑cluster, Helm chart development, advanced networking)
• strong GitOps workflows using ArgoCD or Flux
• experience with AWS (preferred) or Azure/GCP and Infrastructure‑as‑Code (Terraform, Pulumi, CloudFormation)
• advanced knowledge of SQL and NoSQL databases (MySQL/Aurora, PostgreSQL, MongoDB, Redis)
• scripting/automation skills in Python, Bash, or Go
• solid background in monitoring/observability (Prometheus, Grafana, Loki, ELK/OpenSearch, VictoriaMetrics)
• experience with CI/CD at scale and managing production incidents
• experience with streaming/messaging (Kafka, RabbitMQ or similar)
• design, deploy, monitor, and maintain production workloads on Kubernetes (EKS/AKS/GKE) clusters
• build self‑healing, auto‑scaling systems
• design and operate reliable database and storage platforms in Kubernetes
• own backup, disaster recovery, replication, and failover strategies
• optimize storage performance and cost with multi‑tier strategies
• secure and scale object storage platforms (the employer/S3‑compatible)
• manage block storage (EBS/io2/gp3) and shared file systems (EFS, NFS)
• optimize networking, ingress/egress traffic, and service mesh for secure communication.

Skills