Site Reliability Engineer (SRE)
# Site Reliability Engineer (SRE) **DICETEK LLC** · Abu Dhabi · `On-site` 🕒 **Статус:** *Опубликовано: 5 дней назад* · *Источник: Indeed* --- ### About the Role What You Will Be Doing Define and implement SLIs / SLOs and error budgets for business-critical digital banking services. Build actionable observability (metrics, logs, traces, dashboards, and alerts) using Dynatrace , Prometheus , Grafana , and ELK , while reducing alert fatigue. Leverage AI-driven insights and anomaly detection ( Dynatrace Davis AI or equivalent AIOps platform) to proactively predict and resolve reliability issues before impact. Lead incident management — from on-call triage and root-cause analysis to blameless postmortems with actionable follow-ups. Improve deployment safety with robust rollout / rollback strategies , canary and blue-green deployments , and production readiness reviews . Support and optimize microservices-based architectures , ensuring service reliability , scalability , and inter-service resilience . Conduct capacity planning , performance tuning , and resilience testing , optimizing for both reliability and cost efficiency. Automate operational toil — from runbooks and remediation scripts to proactive health checks and self-healing workflows. Collaborate with DevOps to embed reliability gates and validations into CI / CD pipelines ( GitHub Actions , Jenkins , GitLab CI / CD or Azure DevOps ). Own and evolve the observability and AIOps stack , driving intelligent automation and predictive alerting capabilities. Maintain high-quality documentation , playbooks , and operational standards across environments. Ensure operational compliance and security alignment with internal controls and regulatory standards. Analyze system performance , availability , and cost data to continually optimize operations. Provide reliability support and escalation guidance for critical production systems during major incidents. Experience and Qualifications 5+ years of experience in SRE or DevOps roles, building and managing large-scale, high-availability systems across banking , fintech , e-commerce , or other data-intensive digital ecosystems. Bachelor’s degree in Computer Science or equivalent technical experience. Strong experience with Linux environments and performance troubleshooting . Proven expertise in Terraform and Infrastructure as Code (IaC) methodologies. Proficiency with Kubernetes and container orchestration in microservices environments. Hands-on experience with AWS (preferred); exposure to Azure or GCP is an advantage. Deep knowledge of Dynatrace (AIOps, Davis AI) , Prometheus , Grafana , and the ELK stack . Experience implementing AI / ML-driven reliability or automation solutions ( AIOps , anomaly detection, predictive alerting). Practical understanding of CI / CD pipelines ( GitHub Actions , Jenkins , GitLab CI / CD or Azure DevOps ). Experience with Kafka , RabbitMQ , Redis , Aurora , and RDS databases. Strong scripting or programming skills in Python , Bash , or Go . The Ideal Candidate Organized , structured, and meticulous in approach. Experienced in cross-functional collaboration and working with distributed teams. Strong analytical mindset with excellent troubleshooting skills for complex production systems. Calm and composed communicator under pressure, capable of leading during high-impact incidents. Proactive problem-solver who anticipates issues and drives preventive improvements. Passionate about AI-driven automation , observability , and reliability engineering . Continuously learning, keeping up-to-date with cloud-native , microservices , and SRE best practices . A collaborative and adaptable team player who thrives in a fast-paced, regulated environment and is passionate about building reliable, scalable systems that empower digital banking innovation. Skills: SRE , Dynatrace , Kubernetes
Наблюдалась 2026-09-15, впервые 2026-09-10, источник — Indeed.