Top Cloud Engineer Jobs in Bangalore

Design, deploy, and operate Ericsson CNIS-based infrastructure for 5G core workloads. Manage Kubernetes clusters (RKE2/kubeadm), configure CNIs/CSI, operate Rook/Ceph storage, onboard and troubleshoot CNFs, configure networking (BGP/VLAN/VXLAN), integrate authentication (LDAP/Keycloak), and implement observability with Prometheus/Grafana and logging stacks. Produce RCA and ensure HA, resilience, and security.

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

Lead design and development of scalable AI-enabled applications. Own end-to-end AI/ML solution lifecycle, architect backend services (Python/FastAPI, Java/Spring), build React front-ends, deploy cloud-native solutions (Azure/GCP), implement DevOps/CI-CD, optimize real-time performance, support production, and collaborate with stakeholders on technical designs and testing.

Design and build scalable SDET testing infrastructure for data connectors, parsers, and ingestion platforms. Develop reusable testing frameworks, CI/CD integrations, AI-powered test generation, monitoring and reporting systems, utilities, and testing standards. Lead technical architecture decisions while ensuring quality, reliability, and accuracy across distributed systems. The role requires programming expertise in Python or Go, cloud platform experience, containerization, orchestration, and scalable automation framework development.

Designs, develops, tests, deploys, and troubleshoots cloud application features and modules. The role includes automating test cases, adhering to security policies, resolving application issues, reviewing technical ideas, and solving complex data-processing and application problems. Candidates should have programming skills in Python and Golang, cloud engineering exposure, knowledge of cloud-native applications and managed services, and familiarity with DevOps, CI/CD, and Kubernetes orchestration.

Designs, deploys, and operates large-scale HPC environments across cloud, hybrid, and on-premises platforms. Builds infrastructure automation, CI/CD pipelines, self-service provisioning, observability, and reliability solutions. Develops AI/ML data pipelines and supports distributed training and inference workloads, including GPU optimization. Manages compute, storage, networking, security, governance, and workload scheduling while troubleshooting performance and capacity issues. Collaborates with data scientists and ML engineers to deploy production AI solutions.

Operate and improve production Azure and hybrid infrastructure, including compute, storage, networking, identity, backup, and recovery. Build automation and Infrastructure as Code with Terraform or Bicep using PowerShell, Bash, or Python. Enhance monitoring, alerting, and observability; participate in incident response, root-cause analysis, on-call support, change management, restore testing, and operational documentation.

Designs, implements, and operates enterprise-scale Microsoft Azure platform capabilities. Builds landing zones, self-service tools, reusable automation, templates, APIs, and integrations using Infrastructure as Code and CI/CD. Embeds security, identity, networking, governance, and compliance controls while improving reliability, observability, and developer experience. Collaborates with DevOps, architecture, development, and platform teams to modernize cloud engineering practices and support Azure adoption.

Design and maintain AWS cloud infrastructure and cloud-native services supporting a 24/7 digital banking platform. Own applications, ensure compliance and documentation, improve AWS networking and third-party connectivity, maintain deployment pipelines, migrate CI/CD tooling, and support developer platform experience. Participate in on-call operations while prioritizing stability, scalability, security, performance, automation, and SDLC excellence.

Lead a hands-on engineering team to build cloud-native FinOps capabilities on AWS (and GCP). Design and operate backend services, Kubernetes automation, CI/CD, and cost-management tooling to improve cost governance, efficiency, and observability while partnering with platform, application, and SRE teams.

Designs, operates, and improves scalable cloud infrastructure across GCP and AWS. Builds Terraform-based infrastructure, GitHub Actions CI/CD pipelines, observability, automation, and AI-enabled monitoring and remediation. Manages MySQL and SQL Server databases, Cloudflare services, security controls, repository governance, and incident response. Supports reliability, performance, cost optimization, compliance, and cloud modernization while providing 24/7 on-call coverage and mentoring junior engineers.

Engineer and maintain secure, scalable AWS cloud platforms, infrastructure automation, DevOps tooling, and AI/GenAI workloads. Responsibilities include designing, coding, testing, deploying, monitoring, and operating complex software, scripts, and tools across their full lifecycle. The role collaborates with engineers, architects, business analysts, and stakeholders while improving software engineering capabilities and supporting robust production environments.

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.

Designs, develops, deploys, and maintains scalable, secure, and reliable cloud solutions using Azure and .NET technologies. Translates application requirements into functional applications, builds reusable server-side code, troubleshoots issues, optimizes performance, and ensures compliance with security standards. The role also oversees tasks, manages projects, provides technical direction, and mentors junior colleagues. Requires cloud development, design, architecture, and coaching experience, with opportunities to advance Honeywell’s cloud and SaaS offerings.

Designs, develops, deploys, and maintains scalable, secure, high-performance cloud applications and services. Translates use cases into functional solutions, builds reusable server-side code, troubleshoots issues, improves performance, and ensures security and compliance. Collaborates with cross-functional teams, manages project delivery, reviews team members’ work, and mentors junior colleagues. The role primarily focuses on Microsoft Azure, .NET, microservices, SaaS solutions, and cloud architecture.

Design, deploy, and maintain scalable cloud and edge infrastructure on GCP and GDC, focusing on manufacturing environments. Build Infrastructure as Code automation, support Manufacturing Edge Connect and Data Hub architectures, establish CI/CD pipelines, and enforce security and compliance. Implement monitoring, logging, alerting, and disaster recovery while collaborating with data scientists, industrial engineers, and software developers. The role requires expertise in GCP, GDC, Kubernetes, cloud data services, networking, Terraform, scripting, and Linux and Windows administration.

Designs, implements, and maintains scalable cloud infrastructure using Terraform across AWS, GCP, and Azure. Manages cloud networking, IAM, security controls, automation, monitoring, availability, cost optimization, and platform tooling. Collaborates with development and operations teams on deployment automation, contributes to cloud architecture and technical roadmaps, and applies DevOps and CI/CD practices.

Lead Cloud Engineer responsible for mentoring junior engineers, leading proofs of concept, validating and implementing cloud architectures, applying multi-cloud best practices, troubleshooting cloud platforms, and resolving technical issues. The role requires expertise across AWS, Azure, or GCP, multi-cloud and multi-account environments, cloud automation, networking, system administration, security, and monitoring, along with leadership experience and certification in at least two cloud platforms.

Build and improve cloud-native data protection software using distributed systems and public cloud technologies. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing software, while managing project priorities, deadlines, and deliverables. The role requires strong software engineering fundamentals, problem-solving, collaboration, and the ability to work independently on complex projects.

Lead architecture and development of cloud‑native .NET microservices and high‑performance Web APIs. Drive AI adoption—design LLMs, agentic workflows, vector search/RAG, and AI‑augmented SDLC. Mentor senior engineers, own high‑impact technical decisions, optimise performance, and ensure secure, scalable delivery across the full SDLC in Finance/KYC domains.

Lead design and delivery of Service Cloud solutions: configure Service Cloud/Experience Cloud features, build scalable integrations, develop Apex/LWC and Flows, troubleshoot and optimize performance, document implementations, and train stakeholders while collaborating with US-based teams.

Design, deploy, and maintain scalable, highly available cloud infrastructure across AWS and GCP. Manage Terraform IaC, build automation with Python, improve CI/CD (GitHub Actions), monitor systems, participate in on-call, mentor engineers, and collaborate with security, networking, and development teams.

Design, deploy, secure, and automate Apigee X API management workflows on GCP. Responsibilities include configuring API proxies, networking, security policies, secrets, TLS and mTLS, backend integrations, and multi-environment CI/CD pipelines. The engineer will also conduct API testing, trace and debug proxy executions, troubleshoot latency, and support monitoring and alerting. The five-week contract requires hands-on Apigee X and GCP expertise, with financial integrations, Google Apps Script, and observability experience preferred.

Own reliability, availability, and performance of cloud systems through automation, CI/CD, observability, incident response, cost optimization, and collaboration with development and product teams. Implement Terraform IaC, container and serverless deployments, monitoring, runbooks, and SRE best practices while driving continuous improvement and documentation.

Develop, test, deploy, and debug cloud application modules and provisioning tooling. Automate test cases and CI/CD, work with networking, storage, server hardware, virtualization, containers, and hybrid cloud platforms, and collaborate across teams to deliver secure cloud solutions.