Site Reliability Engineer (SRE)

Job Details

Role Overview

We are seeking a Site Reliability Engineer (SRE) to join our advanced engineering division, where innovation, resilience, and precision drive everything we build. In this role, you will architect and optimise highly available, cloud-native systems that support complex AI, data, and cybersecurity workloads.

The ideal candidate is a systems thinker — combining the depth of backend engineering with the mindset of reliability and automation. You will work across multi-cloud environments, Kubernetes clusters, and observability pipelines to ensure zero-downtime operations and self-healing infrastructure for enterprise-scale applications.

Responsibilities

• Design, implement, and manage resilient, scalable infrastructure across AWS, GCP, or Azure using Infrastructure-as-Code (IaC) tools such as Terraform or Pulumi.
• Build and enhance monitoring, alerting, and observability frameworks using Prometheus, Grafana, ELK, or OpenTelemetry to achieve proactive fault detection.
• Collaborate with development, AI/ML, and DevOps teams to automate reliability workflows, improve CI/CD pipelines, and eliminate repetitive operational tasks.
• Define and maintain SLAs, SLOs, and SLIs for critical systems to ensure consistent performance and reliability.
• Drive incident response and root cause analysis (RCA), using automation and predictive analytics to prevent recurrence.
• Optimise resource utilisation and cost efficiency while maintaining system integrity and performance.
• Contribute to long-term architectural decisions that advance our autonomous and intelligent infrastructure goals.

Requirements

• Proven experience (4+ years) in SRE, DevOps, or Systems Engineering within complex, high-traffic environments.
• Strong expertise in Kubernetes, Docker, CI/CD pipelines, and infrastructure automation tools (Terraform, Ansible, etc.).
• Advanced knowledge of Linux systems, networking, and cloud platforms (AWS/GCP/Azure).
• Hands-on experience with observability tools (Grafana, Prometheus, ELK, Datadog, etc.).
• Proficiency in scripting or automation languages such as Go, Python, or Bash.
• Understanding of distributed systems design, performance tuning, and incident management.
• Strong analytical mindset with an emphasis on root cause prevention rather than reaction.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

Benefits

• Competitive salary with equity options.
• Opportunity to work on cutting-edge, high-impact projects at the intersection of AI, security, and infrastructure.
• Professional development allowance and access to enterprise-grade cloud resources.
• Inclusive, innovation-driven engineering culture with a focus on long-term growth and autonomy.