Cloud Native Data Ops

📋 Job 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.

🏢 About Salla

Salla is a company focused on building and scaling platform infrastructure. We value reliability, automation, and efficiency in our operations.

🎯 The Role

You will be responsible for designing, deploying, monitoring, and maintaining production workloads across Kubernetes clusters. You will build self-healing, auto-scaling systems that minimize manual intervention and ensure uptime. You will also design and operate reliable database and storage platforms within Kubernetes environments, implement backup, disaster recovery, replication, and failover strategies, and optimize storage performance and cost.

✅ Key Responsibilities

• 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.
• 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.

📌 Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a 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/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).

⭐ Desirable Experience

• 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.

🎁 Benefits

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

🛂 Visa & Eligibility

No specific visa or eligibility information provided.