Top DevOps Jobs in Bengaluru

Lead a 10+ person DevOps team responsible for cloud infrastructure, resilience, compliance, CI/CD, observability, incident response, cloud costs, and platform delivery. Define the roadmap and engineering standards, manage multi-region and multi-cloud systems, lead failover and audit-readiness programs, support production incidents, and develop team talent through hiring, performance management, and coaching.

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 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.

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.

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.

Owns CI/CD, release engineering, deployment automation, infrastructure as code, and progressive delivery for an AIOps automation program. Builds secure and auditable pipelines, automates testing and deployments, manages Kubernetes and cloud infrastructure, implements canary, shadow, and blue-green releases, and supports rollback, secrets management, observability, compliance, and production go-live activities.

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.

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.

Leads enterprise cloud infrastructure architecture and delivery across AWS and GCP, including migrations, modernization, landing zones, networking, security, resiliency, automation, and platform engineering. Designs reference architectures and roadmaps, guides implementation, establishes infrastructure-as-code and DevOps standards, and partners with senior customer stakeholders. Mentors architects and engineers, drives governance and operational excellence, and shapes reusable architecture practices across consulting engagements.

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.

Owns and operates AWS cloud infrastructure and data platforms supporting index computation and analytics. Responsibilities include managing Airflow, Kafka, ETL pipelines, databases, CI/CD, Docker, Kubernetes, Helm, and EKS; improving monitoring, reliability, security, IAM, secrets management, and compliance; leading incident response; and mentoring engineers.

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.

Designs and delivers cloud and DevOps architectures, automates infrastructure and operational processes, implements CI/CD pipelines, and establishes engineering best practices. The role supports client adoption of cloud technologies, resolves complex technical issues, manages dependencies, and ensures end-to-end implementation quality. It also requires mentoring and leading team members, participating in client meetings, and working with cloud platforms, infrastructure automation, containers, serverless technologies, Kubernetes, Linux, and shell scripting.

Design, build, and maintain high-performance, low-latency distributed backend systems and microservices. Implement RESTful APIs, data stores, messaging, and monitoring. Drive architecture, CI/CD, cloud operations, code reviews, mentoring, and scaling to support hundreds of millions of users.

Designs, automates, and manages enterprise DevOps and SRE practices, including CI/CD pipelines, containerized deployments, GitOps, infrastructure automation, security integration, monitoring, logging, and incident response. Administers enterprise DevOps tooling, improves reliability and scalability, troubleshoots complex production issues, and partners with development, infrastructure, security, and operations teams. Owns initiatives from design through deployment and ongoing operational support while reducing manual effort and operational toil.

Design, build, test, deploy and maintain OutSystems web and mobile applications (including offline-capable mobile apps) integrated with REST/SOAP services. Create reusable application objects, optimize performance, troubleshoot production issues, and collaborate with global teams to define standards and CI/CD practices supporting field operations.

Define enterprise Salesforce DevOps strategy, architecture, governance, CI/CD, release management, environment strategy, and DevSecOps practices. Lead transformation initiatives, maturity assessments, workshops, governance reviews, pre-sales activities, RFP responses, solutioning, and proof-of-concepts. Establish engineering standards and DevOps Centers of Excellence, promote AI-assisted engineering tools, engage senior stakeholders, and mentor architects and technical teams.

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.

Define and drive application and solution architectures, align technical solutions with business needs, support IT strategy and broad initiatives, create system diagrams, improve AI usage, and support project initiation, feasibility and analysis phases.

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.

Design, automate, secure, and operate scalable Azure cloud infrastructure and platforms. Build CI/CD pipelines, automate infrastructure with Terraform, Bicep, ARM, and YAML, and manage production AKS and Kubernetes workloads. Optimize system availability, performance, scalability, and cost while supporting secure deployments and troubleshooting. Integrate GenAI applications using Azure AI Foundry, LLM APIs, RAG, Cognitive Search, and vector databases. Mentor junior engineers and promote technical best practices.

Lead technical design and architecture for Salesforce solutions across Sales, Service, Experience, Health, and Field Service. Drive feasibility, estimation, technical governance, DevOps/CI-CD strategy, and resolve complex integration and migration challenges. Support technical discovery and presales, and coach delivery teams.

Lead the Jaipur office as a Senior Engineering Manager, focusing on technical delivery, team leadership, client engagement, and establishing operations.

Owner of reliability and scalability for DataHub Cloud and enterprise deployments. Build deployment, monitoring, self-healing, and automation systems; define SLAs/SLOs, lead incident response, optimize performance/cost, and improve on-call/runbooks while partnering with product, engineering, and customer teams.