SWE - DevOps

**Agency :** PivotRoots **Job Description :** We are looking for a hands-on DevOps Engineer with strong experience in cloud platforms (Azure & AWS), CI/CD automation, containerization, and infrastructure as code. The ideal candidate should be comfortable working in fast-paced environments, driving automation-first practices, and leveraging AI/ML-driven monitoring and optimization (AIOps) to improve reliability, security, and scalability. **Cloud & Infrastructure** • 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** **CI/CD & Automation** • Build and maintain **CI/CD pipelines** using tools such as: • Azure DevOps • GitHub Actions • GitLab CI • Jenkins • Automate build, test, and deployment workflow**s** • Improve deployment frequency and reduce MTTR **Containers & Orchestration** • Containerize applications using **Docker** • Deploy and manage workloads on **Kubernetes (AKS / EKS)** • Configure Helm charts for application deployment • Manage container security and image scanning **Monitoring, Logging & AIOps** • 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 **Security & Compliance (DevSecOps)** • 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) **Scripting & Automation** • Write automation scripts using **Python, Bash, or PowerShell** • Automate infrastructure provisioning, patching, and scaling • Build self-healing systems using event-driven automation **AI & Modern DevOps Practices** • 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 **Collaboration & Ownership** • 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 **Required Skills & Qualifications** **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 **Good-to-Have (Highly Preferred)** • 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** Contract Type : Permanent 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. **Contract Type :** Permanent **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.**