Site Reliability Engineer (SRE)

What you will do:

• Design and maintain monitoring, alerting, and dashboarding systems across cloud and edge environments.
• Build visibility into system health through metrics, logs, traces, and performance analytics.
• Define and manage SLIs, SLOs, and service reliability targets.
• Develop proactive monitoring and anomaly detection capabilities to identify issues before they impact users.
• Deploy, manage, and optimize containerized workloads running on Kubernetes.
• Maintain scalable cloud infrastructure across production environments.
• Improve system performance, availability, and operational efficiency.
• Support infrastructure provisioning through Infrastructure-as-Code practices.
• Implement secure access controls and audit mechanisms across infrastructure environments.
• Monitor for cybersecurity threats, unauthorized access attempts, and service disruptions.
• Develop alerting and response procedures for security-related incidents.
• Contribute to operational security best practices and governance initiatives.
• Automate repetitive operational tasks to reduce manual effort and improve reliability.
• Build tooling and scripts to streamline infrastructure operations.
• Support CI/CD workflows and deployment automation.
• Promote documentation, operational standards, and continuous improvement.
• Participate in on-call rotations and incident management.
• Lead troubleshooting efforts during production incidents.
• Conduct root-cause analysis and post-mortem reviews.
• Drive long-term improvements that enhance system resilience.
• Work closely with software, AI, machine learning, hardware, and product teams.
• Ensure new services are production-ready with appropriate monitoring, security, and reliability measures.
• Support the operational needs of both cloud-based and distributed edge computing environments.

What you will need:

• 3+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Production Operations.
• Hands-on experience with AWS or other major cloud platforms.
• Strong understanding of observability and monitoring tools such as Grafana, Prometheus, or similar platforms.
• Solid Linux administration and troubleshooting skills.
• Experience with Docker, Kubernetes, and containerized workloads.
• Experience with Infrastructure as Code tools such as Terraform.
• Proficiency in at least one scripting or programming language (Python, Bash, etc.).
• Understanding of networking fundamentals and infrastructure security concepts.
• Experience supporting production systems and participating in incident response.
• Strong automation mindset and commitment to operational excellence.

Nice-to-haves:

• Experience operating large-scale edge computing or IoT deployments.
• Familiarity with zero-trust access management platforms.
• Experience in security operations, threat detection, or infrastructure security.
• Exposure to AI infrastructure, LLM-based applications, or workflow automation platforms.
• Knowledge of AI-Ops, anomaly detection, or intelligent monitoring solutions.
• Familiarity with compliance and security frameworks such as ISO 27001.