Data & ML 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.

• 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 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).
  

• Comprehensive Training & Development programs.
• Performance-based Bonus incentives.
• Flexible Work From Home options.