DEVOPS TECHNICAL LEAD - Azure DevOps
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Key skills for this role
About the Role
Happiest Minds Technologies seeks a Site Reliability Engineer (SRE) for a banking client in Abu Dhabi to ensure system reliability, scalability, and performance. The role involves defining SLOs, building observability, leading incident management, and automating operations.
Key Skills for This Role
Responsibilities
- Define and implement SLIs/SLOs and error budgets for business critical digital banking services
- Build actionable observability (metrics, logs, traces, dashboards, alerts) using Dynatrace, Prometheus, Grafana, and ELK
- Leverage AI driven insights and anomaly detection (Dynatrace Davis AI) to proactively predict and resolve reliability issues
- Lead incident management from on call triage and root cause analysis to blameless postmortems
- Improve deployment safety with robust rollout/rollback strategies, canary and blue green deployments
- Support and optimize microservices based architectures ensuring service reliability and scalability
- Conduct capacity planning, performance tuning, and resilience testing
- Automate operational toil from runbooks and remediation scripts to self healing workflows
- Collaborate with DevOps to embed reliability gates into CI/CD pipelines
- Own and evolve the observability and AIOps stack
- Maintain high quality documentation, playbooks, and operational standards
- Ensure operational compliance and security alignment with internal controls and regulatory standards
Requirements
- 5+ years of experience in SRE or DevOps roles building and managing large scale, high availability systems
- 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)
- Proficiency with Kubernetes and container orchestration
- Hands on experience with AWS (preferred); exposure to Azure or GCP is an advantage
- Deep knowledge of Dynatrace (AIOps, Davis AI), Prometheus, Grafana, and ELK stack
- Experience implementing AI/ML driven reliability or automation solutions
- 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
Full Job Posting
About The Role
- Looking for a talented Site Reliability Engineer (SRE) to keep systems running smoothly, reliably, and at scale
- Role reports directly to Lead SRE / Tribe Executive Manager
What You Will Be Doing
- Define and implement SLIs/SLOs and error budgets for business critical digital banking services
- Build actionable observability using Dynatrace, Prometheus, Grafana, and ELK
- Leverage AI driven insights and anomaly detection (Dynatrace Davis AI) to proactively predict and resolve reliability issues
- Lead incident management from on call triage and root cause analysis to blameless postmortems
- Improve deployment safety with robust rollout/rollback strategies, canary and blue green deployments
- Support and optimize microservices based architectures
- Conduct capacity planning, performance tuning, and resilience testing
- Automate operational toil from runbooks and remediation scripts to self healing workflows
- Collaborate with DevOps to embed reliability gates into CI/CD pipelines
- Own and evolve the observability and AIOps stack
- Maintain high quality documentation, playbooks, and operational standards
- Ensure operational compliance and security alignment
Experience And Qualifications
- 5+ years of experience in SRE or DevOps roles building and managing large scale, high availability systems
- 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)
- Proficiency with Kubernetes and container orchestration
- Hands on experience with AWS (preferred); exposure to Azure or GCP is an advantage
- Deep knowledge of Dynatrace (AIOps, Davis AI), Prometheus, Grafana, and ELK stack
- Experience implementing AI/ML driven reliability or automation solutions
- 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
- Calm and composed communicator under pressure
- 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
- Collaborative and adaptable team player who thrives in a fast paced, regulated environment
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