Software Engineer - DevOps (Mumbai)

Agency : PivotRoots : 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 workflows
- 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 & Up-to-date 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. Apply on Kit Job: kitjob.in/job/4n68vs