Site Reliability Engineer

Role Summary

We are seeking a skilled and passionate

Site Reliability Engineer (SRE)

to ensure the reliability, scalability, and performance of our hybrid and cloud-native infrastructure. You will play a critical role in automating operations, improving system resilience, and supporting mission-critical services running across Kubernetes and cloud environments.This role is ideal for engineers who enjoy solving complex infrastructure challenges, building automation, and improving platform reliability at scale

Job Description (1/2)

Reliability \& System Performance

• Maintain high availability, scalability, and performance of production systems
• .Define and monitor SLIs, SLOs, and error budgets to ensure service reliability.
• Perform root cause analysis, incident response, and postmortem reviews.
• Implement reliability improvements and proactive failure prevention.

Cloud \& Kubernetes Platform Management

• Manage and optimize workloads running on Google Kubernetes Engine (GKE) and OpenShift.
• Support multi-cluster and hybrid infrastructure environments.
• Implement autoscaling and high availability architecture

CI/CD, GitOps \& Release Engineering

• Design and maintain CI/CD pipelines using GitLab CI/CD.
• Implement GitOps deployment workflows using Argo CD.
• Implement safe deployment strategies including:

🔹 Infrastructure as Code \& Automation

• Provision and manage infrastructure using Terraform / OpenTofu.
• Develop and maintain Helm charts for Kubernetes deployments.
• Automate operational tasks using Python scripting to reduce manual toil.

Job Description 2/2

🔹 Observability, Monitoring \& Distributed Tracing

• Implement centralized logging using Grafana Loki and ELK Stack.
• Build dashboards and alerts using Grafana and Datadog.
• Implement distributed tracing using OpenTelemetry to improve system visibility.
• Improve monitoring coverage and alert accuracy.

🔹 Performance \& Load Testing

• Conduct load and stress testing using tools such as k6, Locust, or JMeter.
• Analyze performance bottlenecks and implement tuning strategies.
• Support capacity planning and performance optimization.

🔹 Data Streaming \& Integration

• Support Change Data Capture (CDC) and real-time data streaming pipelines.
• Work with Confluent Platform / Apache Kafka to ensure reliable event-driven data flow.

🔹 Security \& Secret Management

• Manage secrets securely using Google Cloud Secret Manager and Kubernetes secrets, Vault Hashicorp.
• Implement secure CI/CD and platform access practices.

Education

Bachelor’s degree in Computer Science, Informatics, Information Systems, Electrical Engineering, Mathematics/Statistics, or related field.

Experience

• 0–4 years of experience in SRE, DevOps, Cloud Engineering, or Platform Engineering.
• Hands-on experience supporting production systems and cloud infrastructure.

Technical Skills

• Strong Linux system administration and networking fundamentals.
• Hands-on experience with Kubernetes and containerized environments.
• Experience designing and maintaining CI/CD pipelines.
• Infrastructure as Code experience (Terraform), Ansible.
• Helm chart development and Kubernetes deployment management.
• Monitoring, logging, and observability best practices.
• Programming/scripting skills in Bash, Python (Go is a plus).
• Familiarity with Google Cloud Platform (GCP).