Top DevOps Engineer Jobs in Bengaluru

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.

Designs and manages AWS and Azure cloud infrastructure for SaaS and customer deployments. Builds CI/CD pipelines, infrastructure-as-code, networking, monitoring, disaster recovery, security controls, and multi-tenant or single-tenant environments. Supports BYOC deployments, release management, cloud cost and performance optimization, and AI/ML workloads while collaborating with engineering in a fast-paced startup.

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.

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.

Build and operate reliable AWS infrastructure and Kubernetes environments across production systems. Responsibilities include Terraform automation, CI/CD with GitHub Actions, Helm and Argo CD deployments, Docker management, observability, AWS networking, messaging and database infrastructure support, frontend delivery, scripting, incident response, and postmortems. The role emphasizes ownership, automation, production debugging, reliability engineering, and SLO, SLI, and error-budget practices.

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.

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.

Own reliability for Nexla’s large-scale data plane, including Kafka, Spark, Flink, Ray, Redis, EKS, and GKE. Define data-aware SLOs, error budgets, instrumentation, and reliability standards. Operate stateful distributed systems, lead incident response and postmortems, and automate toil through Python, Terraform, and tooling. Improve failure recovery, capacity, upgrades, and private or air-gapped deployments while influencing engineering teams beyond SRE. This is a hands-on senior role with leadership responsibilities and occasional weekend deployments.

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.

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.

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.

Build and maintain Jenkins CI/CD pipelines, Groovy shared libraries, OpenShift and Kubernetes deployments, Helm charts, GitOps workflows, and Python/Bash automation. Support self-service infrastructure tooling for network engineers, conduct code reviews, troubleshoot pipeline failures, maintain documentation, and integrate monitoring with Telegraf, Prometheus, and Grafana. Participate in an on-call rotation within an async-first Kanban team.

Manage and scale cloud infrastructure supporting high-volume algorithms. Establish deployment processes, troubleshoot production outages, conduct root-cause analyses, automate routine tasks, support developers, gather system requirements, and collaborate on product development. Responsibilities also include audits, system upgrades, capacity planning, benchmarking, security, monitoring, and implementing highly available deployment strategies such as blue-green and canary releases.

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.

Design, build, and operate AWS and Kubernetes infrastructure powering production AI systems. Own CI/CD, infrastructure as code, GitOps, observability, secrets management, GPU workloads, model serving, reliability, security, scalability, and cost optimization. Troubleshoot production incidents, perform root-cause analysis, and develop automation using Python and Bash while collaborating across Engineering, ML/AI, Security, and Product teams.

Designs, automates, and supports AWS cloud infrastructure and delivery pipelines for cloud-native digital products. Responsibilities include Terraform and Ansible automation, CI/CD support, AWS account and networking configuration, containerized workloads on Amazon ECS, security and monitoring alignment, troubleshooting, documentation, and collaboration with application and central cloud teams.

Own AWS operations across multiple customer accounts, providing cloud support, incident response, infrastructure management, cost optimization, security hardening, and reliability improvements. Design and maintain CI/CD pipelines and infrastructure as code, manage AWS Partner Central workflows, monitor production systems, conduct root-cause analyses, and participate in on-call support. The role also requires Azure, scripting, Linux administration, networking, and strong customer-facing communication.

Designs and manages scalable AWS infrastructure, including VPC, EC2, S3, RDS, Lambda, and EKS. Develops Terraform infrastructure as code, improves CI/CD and cloud-native application delivery, and implements monitoring, logging, and alerting. Leads incident response, troubleshooting, security controls, and operational improvements while mentoring junior engineers and evaluating emerging AWS technologies.

Build and manage Azure and hybrid-cloud CI/CD pipelines, Terraform and Ansible infrastructure automation, deployment strategies, self-service provisioning, auto-remediation, cost governance, and observability as code. The role also leads Azure environment planning, policy-as-code, DevSecOps controls, secrets management, monitoring integrations, compliance auditing, and operational toil reduction across multi-region platforms.

Lead development of scalable Python applications with Flask and FastAPI, build CI/CD automation, manage Docker and Kubernetes environments, implement infrastructure as code, and oversee cloud and on-premises infrastructure. Responsibilities include REST API integration, monitoring with Grafana and Prometheus, production incident response, root-cause analysis, code reviews, architecture decisions, technical leadership, and global on-call support.

Manage and operate cloud infrastructure across AWS, Azure, or GCP. Administer Linux and Windows servers, implement infrastructure as code using Terraform or Bicep, and automate with scripting and Ansible. Handle patching, monitoring, backups, performance tuning, incident management, troubleshooting, and root cause analysis. Apply knowledge of networking, virtualization, IAM, Kubernetes, and DevOps tools while communicating effectively with customers.