# Senior DevOps EngineerResponsivePosted on October 8, 2026---Experience7 - 9 yrsJob LocationBengaluru / Bangalore, IndiaVacancy1DesignationSenior Devops EngineerJob TypeONSITE---## Job Description## Job SummaryWe are seeking a highly skilled **Senior DevOps Engineer** to design, implement, and operate scalable, secure, and resilient cloud infrastructure that supports modern cloud-native applications. The ideal candidate will have deep expertise in **Kubernetes**, **Infrastructure as Code (IaC)**, **CI/CD automation**, **cloud platforms**, **observability**, and emerging **AI-powered DevOps practices**.## About the RoleThis role will collaborate closely with Engineering, Security, SRE, and Product teams to build reliable deployment platforms, improve operational efficiency, enhance system reliability, and drive automation across the software delivery lifecycle.## Key Responsibilities### Essential Responsibilities* Design, implement, and manage secure, scalable, and highly available cloud infrastructure across **AWS**, **Azure**, or **GCP**, ensuring optimal performance, disaster recovery, business continuity, and cost efficiency.* Deploy, manage, and optimize production **Kubernetes** platforms, including workloads, networking, storage, **Helm**, autoscaling, and deployment standards while troubleshooting infrastructure and application issues.* Develop and maintain **Infrastructure as Code** using **Terraform** and automate infrastructure provisioning and operational workflows using **Python** or **Bash** across multiple environments.* Design, build, and optimize **CI/CD pipelines** using **Jenkins** and **GitHub Actions**, implementing automated testing, security scanning, and modern deployment strategies such as rolling, blue-green, and canary releases.* Implement end-to-end **observability** and reliability using **Prometheus**, **Grafana**, **OpenTelemetry**, **ELK/OpenSearch**, and **Loki**, while defining **SLIs**, **SLOs**, error budgets, and capacity planning.* Drive **DevSecOps** by implementing **IAM**, **RBAC**, vulnerability management, container security, secrets management, **SSL/TLS**, and infrastructure compliance best practices.* Leverage **AI** and **LLM** technologies to automate infrastructure management, generate deployment artifacts, enhance **CI/CD workflows**, and improve developer productivity.* Develop **AI-powered operational capabilities** for incident response, root cause analysis, anomaly detection, predictive scaling, and cloud cost optimization while evaluating emerging **AI technologies**.## Requirements### EducationBachelor's degree in **Computer Science**, **Information Technology**, or related field.### Experience* 7+ years of experience in **DevOps**, **Site Reliability Engineering (SRE)**, or **Platform Engineering**.* Strong hands-on experience managing production **Kubernetes** environments at scale.* Experience with **GitOps** tools such as **Argo CD**.* Experience with **multi-cloud architectures** and cloud governance.* Hands-on experience implementing **observability solutions** and troubleshooting **distributed systems**.* Exposure to **AI/ML frameworks** or **cloud AI services** is an added advantage.* Strong experience with **cloud platforms** including **AWS**, **Azure**, or **Google Cloud Platform (GCP)**.* Hands-on expertise in **Docker**, **Kubernetes**, and **Helm** for containerization and orchestration.* Experience building and maintaining **CI/CD pipelines** using **Jenkins** and **GitHub Actions**.* Experience with **Git** and **GitHub** for version control and collaboration.### Knowledge & Skills* Proficiency in **Infrastructure as Code (IaC)** using **Terraform**.* Strong knowledge of **monitoring** and **observability tools** including **Prometheus**, **Grafana**, **OpenTelemetry**, **ELK/OpenSearch**, and **Loki**.* Proficiency in **Python** and **Bash** scripting for automation.* Good understanding of **DevSecOps** practices, including **Trivy**, **OSV**, **SonarQube**, **container security**, **vulnerability management**, and **security best practices**.* Exposure to **AI-powered DevOps technologies**, including **Prompt Engineering**, **LLM APIs**, **AI-assisted development tools**, **Retrieval-Augmented Generation (RAG)**, **Vector Databases & Embeddings**, **AI-driven infrastructure automation**, and **AI-based incident analysis**.* Strong analytical, troubleshooting, communication, and leadership skills.