Cloud Native Data Ops

Role Overview

Senior Site Reliability Engineer (SRE) at Salla, focusing on Cloud Native Data Ops. This role is based at Salla and involves designing, scaling, and securing rapidly growing platform infrastructure across all critical systems.

Role Purpose

Design, scale, and secure platform infrastructure while ensuring availability, performance, and cost efficiency at scale across customer-facing applications, APIs, internal platforms, and data services. Work hands-on with Kubernetes, observability, GitOps, automation, and cloud infrastructure to deliver a highly reliable and self-healing environment.

Key Responsibilities

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 and 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.
• Troubleshoot and recover Kubernetes Persistent Volumes confidently during incidents (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) 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 using ArgoCD, Flux, and 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.

Qualifications & Experience

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
• 8+ years in SRE, DevOps, or Infrastructure Engineering roles.
• Deep Kubernetes expertise including multi-cluster management, Helm chart development, and advanced networking.
• Strong GitOps workflows using ArgoCD or Flux.
• Expertise with AWS (preferred) or Azure/GCP, plus Infrastructure-as-Code (Terraform, Pulumi, CloudFormation).
• Advanced knowledge of SQL and NoSQL databases (MySQL/Aurora, PostgreSQL, MongoDB, Redis).
• Solid background in monitoring and 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).

Skills & Competencies

• Scripting and automation in Python, Bash, or Go.
• Strong communication skills and teamwork ability across engineering, DevOps, security, and product teams.
• Experience managing mission-critical systems at scale (high traffic, multi-region).
• Proven cost optimization in cloud and Kubernetes environments.
• Familiarity with service mesh (Istio, Linkerd) or advanced networking and egress control.
• Experience with data platform components (Airflow, Debezium, ClickHouse, etc.) is a plus but not required.

Additional Information

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