Site Reliability Engineer (SRE)

Dicetek LLC; Abu Dhabi; On-site; AED 180,000 - 280,000; Full time

Job summary

Dicetek LLC in Abu Dhabi is seeking an experienced SRE/DevOps engineer to define and own reliability metrics for our digital banking services. You will build observability with Dynatrace, Prometheus, Grafana, and ELK, lead incident management, and implement safe deployment strategies (canary/blue-green) while integrating reliability checks into CI/CD workflows.

You will collaborate across teams to ensure scalability, cost efficiency, and regulatory alignment, leveraging Terraform and cloud

Qualifications

• 5+ years of experience in SRE or DevOps across banking or fintech domains.
• Bachelor’s degree in Computer Science or equivalent.
• Strong experience with Linux environments and performance troubleshooting.
• Proficiency with Terraform and Infrastructure as Code.
• Hands-on experience with Kubernetes and cloud providers (AWS preferred; Azure/GCP a plus).
• Deep knowledge of Dynatrace, 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).

Responsibilities

• Define and implement SLI/SLOs and error budgets for critical services.
• Build observability with metrics, logs, traces, dashboards, and alerts.
• Lead incident management from on-call triage to postmortems.
• Implement safe deployment strategies including canaries and blue-green rollouts.
• Collaborate with DevOps to embed reliability checks in CI/CD.
• Optimize capacity, performance, and resilience of microservices.
• Automate toil with runbooks, remediation scripts, and health checks.
• Maintain documentation and compliance with security controls.

Skills

SRE

DevOps

Linux troubleshooting

CI/CD

Analytical mindset

Incident leadership

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Dynatrace

Prometheus

Grafana

ELK stack

Terraform

Kubernetes

AWS

Azure

GCP

GitHub Actions

Jenkins

GitLab CI

Azure DevOps

Kafka

RabbitMQ

Redis

Aurora

RDS

Python

Bash

Go

Job description

• 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.

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.