Overview
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.
Responsibilities
- 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 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.Strong communication skills and teamworker — able to collaborate across engineering, DevOps, security, and product teams.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent work experience.Design, deploy, monitor, and maintain production workloads across Kubernetes clusters (EKS / AKS / GKE).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.
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