Top Cloud Engineer Jobs in Bangalore

Lead backend engineering for CrowdStrike's authentication and authorization systems, developing cloud-based solutions and collaborating across teams to enhance scalability and performance.

Design and develop scalable backend services, collaborate with DevOps for cloud solutions, manage databases, optimize performance, and provide technical leadership.

Lead the IOT Security team in developing high-quality software solutions, focusing on cybersecurity for IOT and distributed systems.

Maintain and automate monitoring, alerting, logging, and provisioning for webMethods, GemFire, AWS, and Kubernetes. Administer platforms, troubleshoot incidents, participate in on-call rotation, drive reliability improvements, collaborate with development teams, and document runbooks and processes.

Operate and support cloud infrastructure: manage incidents, monitor and log systems, maintain network devices and VPNs, enforce security/compliance, run Kubernetes on bare metal, and build/configure open-source platform components, GitOps tooling, automation scripts, and CI/CD pipelines to streamline deployments and reduce operational overhead.

The Principal Cloud Developer will lead development projects, mentor teams, and innovate in HPE's Hybrid Cloud ecosystem, focused on robust distributed systems and cloud solutions.

Design, implement, and maintain secure, scalable AWS cloud infrastructure and landing zones. Support cloud migrations, implement Infrastructure-as-Code (Terraform/CloudFormation/ARM), manage IAM and security controls, embed logging/monitoring, collaborate with cybersecurity and architecture teams, troubleshoot platform issues, and maintain documentation and runbooks.

Operate, provision, and automate cloud systems on Azure/AWS. Implement IaC and CI/CD, script automations, manage OS administration, networking, monitoring, backups, patching, security/RBAC, and ITSM processes. Maintain operations documentation and troubleshoot cloud and OS-level issues.

The Cloud Engineer II role involves designing and supporting Oracle EPM solutions, focusing on automation, integrations, and production stability in a SaaS environment. Responsibilities include developing EPM artifacts, optimizing performance, and collaborating with finance and IT teams.

The Lead Cloud Engineer will design, implement, and maintain infrastructure and deployment pipelines, mentor engineers, and drive automation best practices.

Build, configure, and operate Azure Databricks workspaces and supporting Azure services; harden and automate ETL/ELT pipelines, implement IaC and CI/CD, improve observability, enforce security and least-privilege access, and support embedded Data Science & AI delivery to achieve production‑grade, reliable data platform operations.

Designs, deploys, and operates large-scale HPC and hybrid/multi-cloud environments. Automates infrastructure with IaC and CI/CD, supports AI/ML pipelines and GPU workloads, implements observability and security, and optimizes cluster performance for research and engineering teams.

Manage, provision, automate, and maintain cloud infrastructure on Azure/AWS. Implement IaC and CI/CD, script automation, perform OS administration, monitoring, backup, patching, security/RBAC/IAM, troubleshooting, and support ITSM processes; produce operations documentation.

Support provisioning, operating, and automating cloud systems on Azure/AWS. Manage IaaS/PaaS resources, perform OS administration (Windows/Linux), troubleshoot cloud issues, follow runbooks, and apply IaC and CI/CD concepts. Work with networking, security (RBAC/IAM), monitoring tools, backup/patching, and ITIL/ITSM processes.

Manage, provision, automate, and troubleshoot workloads on Azure/AWS. Implement IaC and CI/CD, script/automate tasks, administer Windows/Linux systems, configure networking, monitoring, backups and patching, enforce security/RBAC and follow ITSM/ITIL processes. Produce operations documentation and support cloud platform operations.

The Oracle Integration Cloud Developer will design and develop solutions for Oracle Fusion ERP/SCM integrations, manage OIC integrations, create reports, and support DevOps processes.

The Senior Cloud Developer leads cloud testing initiatives, designs automated test infrastructure, collaborates with teams for quality delivery, and innovates testing processes for cloud applications.

Develop and maintain scalable cloud architectures using AWS, focusing on automation, CI/CD pipelines, and container solutions, ensuring high availability and security compliance while collaborating with cross-functional teams.

The Lead Engineer on Cloud Reliability Engineering is responsible for system reliability, platform expertise in webMethods, GemFire, AWS, and Kubernetes, and mentoring junior engineers, while driving automation and best practices.

Design, develop, and lead complex cloud platform features and integrations for HPE Hybrid Cloud/Green Lake. Build, test, and integrate cloud-native microservices on containerized Kubernetes environments; debug customer incidents and production issues. Mentor engineers, drive architecture decisions, and ensure secure, scalable private-cloud solutions.

The Software Engineer will design, develop, and deploy applications and APIs, focusing on cloud-native solutions, AI-assisted development, and collaborating with stakeholders to meet business needs.

The role involves managing cloud infrastructure, ensuring security, optimizing automation, and providing solutions throughout project lifecycles, while fostering relationships across teams.

The Cloud Developer is responsible for building cloud applications, collaborating with teams to deliver efficient cloud solutions, and leveraging various technologies and methodologies to solve complex problems.

Design, build and maintain automated test suites and environments for cloud-native, containerized and networked systems. Integrate tests into CI/CD pipelines, execute functional, integration, scale and performance tests, debug root-cause issues, collaborate with cross-functional teams, mentor junior engineers, and support production troubleshooting and release readiness.

The Data Engineer is responsible for developing high-performance distributed computing tasks, building analytical platforms, and working with various data technologies and tools to solve complex problems.