Top DevOps Engineer Jobs in Bengaluru

Build and operate secure, reliable cloud-native deployments for a healthcare SaaS platform. Own CI/CD pipelines, GitOps workflows, Kubernetes deployments, Azure infrastructure, infrastructure-as-code, observability, database operations, security automation, and cloud cost optimization. Troubleshoot production systems, participate in on-call rotations, improve deployment and recovery processes, and reduce operational toil through automation.

Administer and automate Linux-based cloud infrastructure across Azure and/or GCP. Responsibilities include provisioning resources, managing Kubernetes, maintaining CI/CD pipelines, writing infrastructure as code and Bash automation, monitoring systems, troubleshooting production issues, supporting security compliance, and documenting operational procedures. The role requires an active Azure or GCP certification matching hands-on experience and at least three weekly days in the Bangalore office.

Build, deploy, test, and maintain CI/CD processes using Jenkins, Maven, and Git. Automate testing and deployments, monitor applications, select technologies aligned with business needs, and collaborate with development and operations teams to meet performance expectations. Manage multiple servers, databases including MongoDB, Redis, and Elasticsearch, containerized applications with Docker and Kubernetes, and Node.js and Python web servers. Blue-green deployment experience is advantageous.

Maintain and optimize cloud-native production platforms with a focus on Kubernetes. Manage application deployments, CI/CD pipelines, cluster operations, system reliability, incident analysis, troubleshooting, and root-cause resolution. Collaborate cross-functionally to deliver technical solutions, provide operational support, improve platform performance, and accelerate software delivery.

Design, build, and maintain CI/CD pipelines; support production/application environments; deploy containerized apps with Docker/Kubernetes; implement authentication (JWT/OAuth/OpenID Connect); monitor with App Insights, Log Analytics, and Splunk; collaborate with dev and ops to improve delivery.

Provide DevOps support across SAP S/4HANA transformation projects: implement and manage CI/CD, containerization (Docker/Kubernetes), and cloud infrastructure; work with SAP Cloud ALM; support backlog validation through realization; collaborate with cross-functional SAP teams; proactively identify risks and deliver according to specifications and timelines.

Own production infrastructure for a student-recruitment platform, including resilience, backups, zero-downtime CI/CD, monitoring, incident response, security, disaster recovery, cost management, and documentation. Operate Linux infrastructure across Linode and DigitalOcean with Cloudflare, MongoDB, Docker, and Node.js applications. Establish recovery objectives, conduct restore drills, manage secrets and access controls, remediate audits, and support UK GDPR alignment. This remote role is based in India and requires independent ownership of infrastructure operations.

Build and operate reliable, secure, and scalable CI/CD platforms, cloud infrastructure, and observability solutions. Automate deployments, manage Kubernetes and Jenkins pipelines, integrate build tools, and use monitoring/incident tools to support large-scale systems.

Architects and operates scalable cloud and on-premise infrastructure, CI/CD pipelines, Kubernetes platforms, and infrastructure-as-code workflows. The role focuses on automation, system availability, security, performance, incident response, troubleshooting, monitoring, and operational efficiency. The engineer collaborates across engineering, security, and product teams, prototypes emerging technologies, supports production systems, and drives root-cause analysis and continuous improvement.

Lead cloud infrastructure, DevOps automation, CI/CD, Infrastructure as Code, reliability, security, and operational excellence for CrashPlan’s Azure-based platform. Responsibilities include managing highly available systems, incident response, monitoring, vulnerability management, compliance, deployment automation, and mentoring engineers in a 24x7 production environment.

Leads Salesforce DevOps and cloud infrastructure strategy, designing CI/CD pipelines, managing deployment packages and metadata, applying SRE practices, monitoring system health, automating incident response, and optimizing scalability, availability, security, and performance. The role collaborates with cross-functional teams to troubleshoot deployment issues and manage Salesforce Lightning application releases.

Owns highly available AWS and EKS platforms, CI/CD pipelines, infrastructure as code, observability, incident response, reliability engineering, and security operations. The role designs resilient cloud environments, manages Kubernetes and Docker workloads, automates delivery and operations, leads major-incident response, establishes SLOs, and coordinates vulnerability remediation. It also mentors engineers and improves production readiness, disaster recovery, and operational efficiency.

Leads ServiceNow DevOps strategy, architecture, governance, and lifecycle optimization. Designs CI/CD pipelines, manages update sets and source control, automates change and release processes, and oversees deployments. Applies ITIL Change and Release Management principles to ensure compliance, auditability, reliability, and business continuity across enterprise ServiceNow environments.

Lead infrastructure initiatives by designing secure GitOps workflows, managing Kubernetes across cloud and on-premises environments, implementing advanced deployment strategies, administering Linux systems and databases, and maintaining infrastructure-as-code and CI/CD operations. The role includes air-gapped deployments, service mesh management, networking, security controls, high availability, and expert troubleshooting of distributed systems.

Build and maintain scalable cloud infrastructure and deployment systems using AWS, Kubernetes, Docker, infrastructure as code, and CI/CD tools. Automate operational processes, manage databases and microservices, implement monitoring and observability, and improve system reliability and security. The role requires Linux expertise, programming in Python, Go, or shell scripting, and familiarity with REST/gRPC, API gateways, configuration management, and cloud-native technologies.

Own Plane Cloud infrastructure and self-hosted deployment paths across AWS, Kubernetes, Terraform, CI/CD, GitOps, observability, and security. Build reliable installations and upgrades for customer, sovereign, and air-gapped environments. Operate production systems, respond to incidents, debug issues across networking and application layers, and improve defaults and documentation. Collaborate with engineering teams, customer platform teams, and open-source contributors.

Lead design, implement, and maintain multi-cloud infrastructure using IaC and GitOps; build CI/CD pipelines, manage Kubernetes and service mesh, enforce security and compliance, automate infrastructure and monitoring, optimise costs and performance, lead incident response, disaster recovery, and mentor junior engineers.

Designs, manages, and optimizes GCP cloud infrastructure and containerized environments. Responsibilities include Kubernetes and Docker orchestration, Terraform-based infrastructure automation, GitOps and Helm deployments, Prometheus and Grafana monitoring, cloud security, cost optimization, and ITIL/ITSM-aligned incident and SLA support. The role collaborates with development and infrastructure teams to troubleshoot complex issues and improve reliability, scalability, and service continuity.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Own the architecture, automation, security, scalability, and operation of hybrid infrastructure across on-premises datacenters and AWS. Lead hosting pipeline improvements, infrastructure design, observability, virtualization, deployment automation, and structured change management. Collaborate with engineering and product teams, communicate technical trade-offs, optimize platform reliability, and mentor hosting personnel.

Designs and manages CI/CD pipelines, infrastructure automation, cloud and on-premises environments, and Kubernetes deployments. The role focuses on high availability, low-latency trading systems, monitoring, alerting, security, compliance, and troubleshooting. Responsibilities include infrastructure as code, performance optimization, vulnerability scanning, access control, and collaboration with development, QA, and trading teams.

Ensure the reliability, scalability, and performance of enterprise applications. Responsibilities include building and managing CI/CD pipelines, containerized infrastructure, cloud environments, and Infrastructure as Code. The role involves monitoring and observability, logging and alerting, SLI/SLO/SLA management, incident response, root cause analysis, performance tuning, capacity planning, microservices support, and production operations.

Provides Level 1 and Level 2 production support for trading systems, manages order management and market data platforms, monitors system health, troubleshoots incidents, conducts root cause analysis, and improves reliability through automation and self-correction. Works with traders, quants, developers, clients, and system users while supporting follow-the-sun operations and adapting to non-standard work hours.

Lead cloud and platform architecture for scalable AI and SaaS systems. Design AWS multi-region infrastructure, HA/DR environments, Kubernetes clusters, networking, storage, and Infrastructure-as-Code. Bridge application engineering and infrastructure by reviewing architectures, improving backend performance, building platform tooling, mentoring engineers, and enabling cloud-native reliability. Own observability, incident response, root-cause analysis, and deployment automation while supporting security scanning and compliance alignment.

Design, build, and operate multi-cloud Kubernetes infrastructure supporting ML platforms, LLM inference, data pipelines, and developer tooling. Own Terraform and Helm automation, GitOps deployments, cluster operations, observability, reliability, FinOps, security governance, and internal platform standards. Partner with engineering and data science teams to scale workloads, optimize cloud costs, define SLOs, and lead incident response across AWS, GCP, and Azure.