Top DevOps Engineer Jobs in Bangalore

Designs, builds, and maintains scalable Azure cloud and data platform solutions using Databricks, Terraform, Azure DevOps, CI/CD, and Python. Responsibilities include cloud architecture, automation, data platform orchestration, security, governance, monitoring, troubleshooting, reliability improvements, and collaboration with engineering, security, and product teams. The role also involves mentoring team members and promoting DevOps and engineering best practices.

Design, build, and maintain cloud infrastructure and CI/CD pipelines using Terraform, Docker, and Kubernetes. Implement monitoring, incident response, and performance tuning for services like Redis, RDS, Redshift, Elasticsearch, and Kafka. Partner with security and platform teams, drive cost optimization, and evangelize DevOps best practices to enable developer productivity.

Build and maintain automated CI/CD pipelines across on-premises and AWS environments. Transition manual deployments to DevOps practices, improve availability and resource utilization, enforce security remediation, troubleshoot production issues, support development and QA teams, document systems, and participate in 24/7 on-call operations. The role requires collaboration across engineering, QA, operations, and security teams while managing cloud infrastructure and containerized applications.

Maintain Unix/Linux systems, build and manage CI/CD pipelines, administer artifact repositories, develop automation scripts, and support cloud and containerized environments using platforms such as AWS, Azure, Google Cloud, Docker, and Kubernetes. The role also requires familiarity with RabbitMQ and Kafka.

Designs and maintains CI/CD pipelines, cloud infrastructure, infrastructure-as-code, container platforms, monitoring, and DevSecOps controls. Automates deployments and operational tasks, manages Kubernetes environments, improves reliability and security, troubleshoots incidents, and supports compliance in financial services. Collaborates with engineering, architecture, cybersecurity, infrastructure, and operations teams while mentoring junior engineers and establishing platform standards, runbooks, and continuous improvement practices.

Designs, builds, and operates secure, scalable Azure data platforms using Terraform, Databricks, AKS, CI/CD, and Power BI. Automates infrastructure provisioning, deployments, configuration, governance, and platform lifecycle processes. Implements observability, monitoring, incident response, automated recovery, and reliability engineering practices for data pipelines and Spark workloads. Manages secrets, access controls, compliance, cost optimization, and hybrid Power BI gateway infrastructure while collaborating with software, ML, and architecture teams.

Build and manage Kubernetes platforms across AWS, Azure, and GCP, including cluster lifecycle management, Helm deployments, cloud networking, security, monitoring, and CI/CD. Develop Python and Bash automation, troubleshoot platform operations, define reliability objectives, and partner with application teams. The role also explores agentic AI, AI coding assistants, infrastructure modernization, documentation, testing, and mission-critical platform reliability.

Lead DevOps Engineer responsible for managing DevOps pipelines across internal and customer environments, conducting DevSecOps research, automating and optimizing infrastructure, reducing costs, maintaining environments, and supporting onsite implementation teams. The role requires AWS, Kubernetes, Docker, CI/CD, Terraform, security testing, observability, database, scripting, and performance engineering experience.

Designs and manages secure, scalable Azure infrastructure for multiple security products. Builds Terraform infrastructure-as-code modules, governs cloud environments, optimizes costs, and develops GitHub Actions CI/CD pipelines with integrated security scanning. Partners with engineering teams, manages operational workflows in Jira, participates in on-call support, and leads root-cause analysis to improve platform resilience.

The DevOps Engineer will build and maintain GitLab CI/CD pipelines, support application deployments, manage Windows Server and hybrid cloud infrastructure, and automate environments using Terraform and Kubernetes. Responsibilities include AWS and Azure cloud support, on-premises migration, release management, production troubleshooting, infrastructure monitoring, and improving reliability, scalability, and operational efficiency. The role collaborates with development, architecture, infrastructure, and support teams.

Own end-to-end software engineering initiatives from design through production. Develop and improve scalable internal applications, drive cloud and DevOps deployments, and build AI/GenAI solutions using LLMs, RAG, vector databases, and embeddings. Responsibilities include architecture, coding, code reviews, CI/CD, containerization, infrastructure automation, monitoring, observability, technical leadership, mentoring, documentation, and continuous engineering improvement.

Leads the design and maintenance of CI/CD pipelines, infrastructure-as-code, deployment tooling, and DevSecOps controls for cloud, on-premises, and hybrid customer environments. Automates provisioning, upgrades, monitoring, reporting, and change management while improving deployment reliability and reducing operational toil. Collaborates with Systems Engineering and SRE teams, supports customer deployments, tracks delivery metrics, and maintains documentation and reusable playbooks.

Lead cloud infrastructure and DevOps engineering for Reltio’s multi-cloud services. Architect scalable infrastructure with Kubernetes, Terraform, and Helm; drive automation, CI/CD, security, observability, cost optimization, and zero-downtime operations. Troubleshoot across the full technology stack, improve developer experience and DevSecOps maturity, mentor engineers, collaborate across teams, and participate in monthly on-call rotations.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Manage and expand hybrid on-premises and multi-cloud infrastructure across AWS, GCP, and OCI. Build CI/CD pipelines, implement IAM and security controls, manage infrastructure as code, and develop monitoring, logging, and alerting systems. Diagnose complex distributed-system failures through deep OS and network analysis while automating repetitive processes and integrating vulnerability scanning, secrets management, and compliance-as-code.

Own and develop the automation platform supporting VLSI infrastructure, including internal services, command-line tools, source-control event automation, CI/CD pipelines, deployments, and observability. Partner with scheduling teams on batch-compute automation and operate production tooling that reduces manual infrastructure work. The role requires hands-on Python development, Linux and shell expertise, source-control automation, containerization, and experience with internal developer platforms or engineering tooling.

Research, design, implement, and operate cloud infrastructure and automation for a Microsoft Azure product platform using Kubernetes. Ensure application availability, performance, scalability, and security through automation, observability, and site reliability engineering practices. Collaborate with product engineering, embedded and IoT teams, IT, vendors, and contractors to deliver repeatable, cost-effective cloud solutions.

Build and improve CI/CD pipelines, release automation, deployment workflows, infrastructure-as-code, and DevOps tooling. Triage pipeline issues, automate manual processes, maintain documentation and runbooks, support data center infrastructure, and improve platform security through hardening and credential management. Collaborate with globally distributed SRE and development teams, providing primary DevOps support during India business hours and coordinating handoffs to U.S.-based teams.

Designs, deploys, administers, and optimizes secure AWS infrastructure across cloud and on-premises environments. Manages Linux and Windows servers, networking, identity services, VMware, infrastructure as code, containers, CI/CD pipelines, monitoring, security hardening, compliance, backups, and disaster recovery. Automates operational processes with Terraform, CloudFormation, Ansible, PowerShell, Bash, and Python; participates in incident response, documentation, migrations, and infrastructure planning.

Leads the design, automation, security, and operation of Novo’s AWS cloud infrastructure. Builds Terraform-based infrastructure, CI/CD pipelines, Kubernetes platforms, observability systems, secure networking, and self-service tooling. Partners across engineering, product, and security teams, drives technical direction, supports hiring, and applies AI-assisted automation to incident response, infrastructure delivery, and operational efficiency.

Designs and operates large-scale network automation and infrastructure-as-code platforms in a 24/7 SaaS environment. Responsibilities include building CI/CD pipelines, Network-as-Code and GitOps workflows, SDN and Kubernetes networking, routing and overlay infrastructure, automated security policies, telemetry, validation, and remediation. Serves as a senior technical authority for complex network issues while leading engineering standards, design reviews, mentoring, and cross-functional initiatives.

Build and maintain Jenkins CI/CD pipelines, automate testing and DevSecOps capabilities, deploy web applications on AWS and GCP, and support application availability and performance. Drive automation and continuous improvement, secure public-facing web infrastructure, and advise delivery teams on cloud adoption. The role also involves incident and problem resolution, crisis-call participation, Agile collaboration, compliance awareness, and operational support for high-availability cloud systems.

Operate and improve large-scale compute platforms (bare metal, virtualization, private cloud, Kubernetes). Build automation (IaC, GitOps), provision servers (PXE/Redfish), troubleshoot cross-stack issues, maintain SLAs/KPIs, run on-call rotations, and produce runbooks and documentation while collaborating with global platform and SRE teams.

Designs, operates, and automates secure Azure-based data platforms using Terraform, Databricks, AKS, CI/CD, and Power BI. Responsibilities include infrastructure provisioning, deployment automation, observability, reliability engineering, Spark workload monitoring, platform governance, secrets management, cost optimization, and incident remediation. The role collaborates with software, machine learning, and architecture teams to support reliable production data pipelines and enterprise platform standards.

Lead reliability, scalability, and operations for Kubernetes-based production and air-gapped deployments. Own installation, upgrades, observability, automation, incident response, performance tuning, and internal tooling using Python/Go. Collaborate with engineering and customers to design secure, scalable deployment architectures and manage infrastructure via Terraform and cloud platforms.