Top DevOps Engineer Jobs in Bangalore

Designs, provisions, automates, monitors, and maintains cloud infrastructure across AWS and GCP. Builds infrastructure as code, automates SDLC and operational processes, supports Kubernetes and containerized workloads, and improves production reliability, security, and performance. Responsibilities include disaster recovery automation, incident root cause analysis, continuous integration and deployment, monitoring, and rotational 24/7 on-call support.

Design, implement, maintain, and monitor reliable hybrid-cloud infrastructure on AWS. Build and maintain CI/CD pipelines, support Kubernetes and Docker production environments, migrate legacy infrastructure to hybrid cloud, improve security and compliance, troubleshoot incidents, perform root-cause analysis, and apply SRE, automation, observability, and documentation best practices.

Supports DevOps platform maintenance, CI/CD pipelines, build agents, repositories, deployment environments, application servers, and SQL Server databases. Assists with scripting, automation, monitoring, troubleshooting, root cause analysis, security, documentation, and support for development teams. Participates in Agile ceremonies and uses AI tools to improve scripting and routine DevOps tasks, completing well-scoped work with guidance.

Designs and maintains build, release, and development infrastructure; automates packaging and deployment workflows; supports Git, Jenkins, Artifactory, JIRA, Docker, Ansible, and Kubernetes environments; and provides engineering tool support. The role also develops AI-powered automation, agents, and MCP/API integrations to improve productivity, administers shared services, and performs infrastructure refreshes and front-line support.

Manage and optimize AWS and Azure cloud infrastructure for reliability, scalability, security, and performance. Develop infrastructure automation using scripting and Terraform, monitor systems with observability tools, troubleshoot incidents, and improve resource utilization. Collaborate with development, architecture, and delivery teams to implement cloud services, define service-level indicators and objectives, create dashboards and alerts, and maintain technical documentation. The role requires rotating morning, mid, and night shifts to support 24x7 operations.

Build and maintain CI/CD pipelines, deployment infrastructure, source control, monitoring, logging, and development/test environments. Automate repetitive work, manage infrastructure and repositories, troubleshoot application servers and databases, perform root cause analysis, and support secure, reliable deployments. Collaborate with development, QA, cloud, and infrastructure teams in Agile settings while applying AI tools to improve automation, monitoring, and operational workflows.

Designs and maintains CI/CD pipelines, deployment automation, infrastructure as code, cloud platforms, containers, monitoring, and alerting. Troubleshoots production issues, performs root cause analysis, supports reliability improvements, and contributes to cloud migration and platform modernization. Requires extensive experience in DevOps, SRE, or platform engineering within production-critical enterprise environments.

Designs, deploys, and manages AWS cloud infrastructure across development, staging, and production environments. Builds reusable Terraform Enterprise infrastructure code and maintains CI/CD pipelines using GitHub Actions, Jenkins, or similar tools. Monitors, troubleshoots, and optimizes cloud environments while ensuring scalability, reliability, security, and performance. Collaborates with cross-functional teams, participates in code reviews, and contributes to infrastructure design and automation best practices.

Supports CI/CD pipelines, infrastructure automation, cloud and containerized deployments, monitoring, troubleshooting, and infrastructure-as-code initiatives. Maintains development, test, and production environments while improving reliability, scalability, and operational efficiency. Participates in incident response, root cause analysis, documentation, and Agile collaboration. The role also emphasizes applying AI-powered tools to engineering automation, testing, troubleshooting, and productivity. Requires 1–3 years of relevant experience and familiarity with Azure, operating systems, scripting, source control, databases, and observability tools.

Develops and supports DevOps solutions across AWS environments, including infrastructure automation with Terraform, CI/CD pipelines, containerized applications, monitoring, database services, and Linux administration. Troubleshoots environment and configuration issues, maintains production availability, supports cost optimization, and uses secure AI-assisted development tools. Collaborates with developers, architects, and stakeholders to deliver stable, scalable technology solutions.

Build and operate standardized CI/CD pipelines and automated cloud environment provisioning for enterprise AI solutions. Embed security controls, vulnerability scanning, dependency checks, secret detection, access controls, and GDPR/SOC 2 compliance into delivery pipelines. Develop evaluation and quality gates for agentic systems, establish DevSecOps standards, and coordinate platform, application, engineering, and external partner teams.

Owns the architecture, security, automation, governance, operations, and cost optimization of Microsoft Azure environments and CI/CD platforms. Builds reusable infrastructure and deployment patterns using Azure DevOps, GitHub Actions, Terraform, and Bicep. Designs Azure networking, identity, monitoring, resiliency, and security controls; leads FinOps initiatives to deliver measurable savings; troubleshoots complex issues; documents standards; and mentors engineers across development, security, finance, product, and operations teams.

Build and maintain AWS cloud infrastructure, automated deployments, CI/CD pipelines, infrastructure-as-code, containerized services, and multi-cloud management solutions. Improve cloud resiliency, observability, security, and cost efficiency while collaborating with development, architecture, and product teams. Support application migrations to AWS, troubleshoot deployment issues, evaluate technologies, and mentor engineers on cloud engineering practices.

Designs, implements, and supports build, release, and development infrastructure. Automates environments and deployment workflows using Docker, Ansible, Kubernetes, and CI tools. Supports engineering teams with Git, Jenkins, Artifactory, and JIRA, while maintaining Linux-based tooling and infrastructure. Develops AI-powered agents and workflow automations using LLMs, MCP, APIs, and modern frameworks. Participates in tool refreshes, incident support, training, and administrative rotations.

Own Azure cloud infrastructure, Kubernetes platforms, CI/CD pipelines, automation, security, monitoring, and hybrid connectivity to Linux and FPGA lab environments. Support Node.js, TypeScript, and React application delivery while improving reliability through infrastructure as code, observability, automated remediation, and secure external-cloud architecture. Collaborate with developers, IT, networking, and cybersecurity teams to operate production systems and drive platform improvements.

Designs and operates scalable cloud-native platforms using AWS, Azure, Kubernetes, Docker, EKS, and AKS. Builds CI/CD pipelines, automates infrastructure, and applies GitOps, DevSecOps, and Infrastructure as Code practices. Manages observability, monitoring, AIOps, anomaly detection, alerting, log analytics, incident response, troubleshooting, and root-cause analysis. Requires an engineering or computer science degree and typically 8–12 years of experience. Cloud and Kubernetes certifications are preferred.

Design, develop, troubleshoot, and maintain CI/CD pipelines and developer tools. Build integrations with backend systems, perform root cause analysis, resolve production issues, develop pipeline observability tools, document troubleshooting procedures, and maintain secure developer resources. The role requires collaboration, independent problem-solving, and moderate supervision in an onsite or hybrid Bangalore office environment.

Designs and maintains secure AWS cloud infrastructure using EKS and ECS; automates CI/CD with GitLab CI and Azure DevOps; manages infrastructure with Terraform and Ansible; develops Python automation; monitors reliability; troubleshoots infrastructure issues; and collaborates with .NET development teams to optimize cloud application delivery.

Designs, builds, and maintains scalable, secure AWS infrastructure. Automates provisioning, deployments, monitoring, and CI/CD using infrastructure-as-code and DevOps tools. Manages Kubernetes environments, cloud security, observability, and production troubleshooting while improving reliability and performance. Collaborates with engineering teams to promote DevOps practices and operational excellence.

Provides technical leadership for AWS DevOps and cloud-native automation across mission-critical payment platforms. Designs CI/CD, infrastructure-as-code, containerized deployment, performance testing, observability, security, cost optimization, and reliability engineering frameworks. Troubleshoots complex distributed applications, leads cloud modernization, supports customer escalations, and mentors engineering teams in AWS and DevOps best practices.

Designs, implements, and maintains CI/CD pipelines, build infrastructure, shared systems, and Kubernetes-based container platforms. Automates infrastructure using Docker and Ansible, supports Linux and Windows environments, monitors reliability, applies security updates, manages storage and hardware needs, and participates in frontline tool support. The role also develops AI-powered automation, agents, and intelligent workflows using APIs, MCP, and modern development tools.

Build and maintain enterprise DevOps and infrastructure platforms using Azure DevOps, Kubernetes, Helm, Linux, Docker, IaC, Ansible, Vault, storage, registries, and ELK/EFK. Manage on-premises Kubernetes networking, security, upgrades, troubleshooting, high availability, and disaster recovery. Experience with MariaDB, Prometheus, Grafana, and enterprise infrastructure is beneficial.

Embedded DevOps Engineer supporting product teams with production readiness in GCP. Responsibilities include building CI/CD pipelines, managing Kubernetes and infrastructure through Terraform, enabling safe deployments, responding to incidents, improving reliability and cost efficiency, automating operational tasks, and enforcing cloud readiness standards. The role requires strong GCP, GKE, Docker, GitHub Actions, Terraform, NGINX, Helm, and cloud networking experience.

Designs and operates secure Azure cloud and hybrid environments supporting AI/ML workloads. Builds Python and FastAPI microservices, containerizes and deploys them through Azure Container Apps, and develops CI/CD automation with Azure DevOps. Manages Azure Databricks, infrastructure as code, monitoring, logging, incident management, and cloud security. The role also researches distributed cloud application technologies and communicates complex AI/ML concepts clearly.

Designs, maintains, and improves global DevOps infrastructure, CI/CD pipelines, GitHub repositories, release processes, virtualized environments, and infrastructure automation. Implements DevSecOps practices, security controls, monitoring, and compliance measures while supporting Linux and Windows development environments. Collaborates with engineering, QA, cybersecurity, and IT teams and develops a strategic roadmap to modernize and scale software delivery capabilities.