Software Engineer - DevOps

• Design, deploy, and manage scalable infrastructure on AWS and Azure
• Implement high availability, fault tolerance, and disaster recovery strategies
• Manage cloud resources using Infrastructure as Code (IaC) tools like Terraform CloudFormation
• Optimize cloud costs using FinOps best practices

• Build and maintain CI/CD pipelines using tools such as:
• Azure DevOps
• GitHub Actions
• GitLab CI
• Jenkins
• Automate build, test, and deployment workflows
• Improve deployment frequency and reduce MTTR

• Containerize applications using Docker
• Deploy and manage workloads on Kubernetes (AKS / EKS)
• Configure Helm charts for application deployment
• Manage container security and image scanning

• Set up monitoring and alerting using:
• Azure Monitor
• Prometheus & Grafana
• ELK / EFK Stack
• Implement AI-driven monitoring & anomaly detection (AIOps)
• Use predictive alerts and automated remediation where possible
• Perform root cause analysis (RCA) and post-incident reviews

• Implement DevSecOps practices across CI/CD pipelines
• Manage secrets using Azure Key Vault / AWS Secrets Manager
• Perform vulnerability scanning and security audits
• Ensure compliance with security standards (ISO, SOC2, GDPR – as applicable)

• Write automation scripts using Python, Bash, or PowerShell
• Automate infrastructure provisioning, patching, and scaling
• Build self-healing systems using event-driven automation

• Use AI tools for log analysis, performance optimization, and incident prediction
• Integrate ChatOps (Slack / Teams bots) for deployments and alerts
• Leverage AI-assisted tools for:
• Cost optimization
• Security anomaly detection
• Capacity planning

• Work closely with developers, QA, security, and product teams
• Participate in architecture discussions and solution design
• Mentor junior engineers and promote DevOps best practices
• Maintain documentation for infrastructure and processes

Must-Have

• 3–5 years of hands-on experience in DevOps / Cloud Engineering
• Strong experience with AWS and/or Azure
• Expertise in CI/CD pipelines
• Hands-on experience with Docker and Kubernetes
• Infrastructure as Code using Terraform
• Strong scripting skills (Python / Bash)
• Experience with monitoring and logging tools

• Experience with AIOps or AI-based monitoring tools
• Knowledge of microservices architecture
• Exposure to serverless (AWS Lambda / Azure Functions)
• Experience with GitOps (ArgoCD / Flux)
• Knowledge of FinOps and cost governance
• Experience in high-traffic / enterprise-scale systems

Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.