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.

Support CI/CD across the SDLC by designing, deploying, and maintaining Jenkins pipelines and IaC. Collaborate with developers, QA, and ops to automate testing and deployments, optimize cloud environments, manage version control with Git, troubleshoot deployment issues, and monitor applications using cloud logging and security tools.

Develop and enhance business-critical applications using Java, Spring Boot, ReactJS, REST APIs, and microservices. Collaborate with compliance, operations, front-office, and technology teams to support investment compliance workflows. Drive automation across development, testing, deployment, and operations while applying CI/CD, Agile, observability, SRE, DevOps, secure coding, and responsible AI practices. Troubleshoot complex systems, optimize SQL and database performance, and deliver reliable, scalable software solutions in a regulated financial-services environment.

Design, develop, deploy, and support scalable enterprise software, distributed systems, and cloud-native platforms. Build automation, CI/CD pipelines, infrastructure-as-code, monitoring, observability, and operational tooling. Contribute to architecture, security, reliability, modernization, incident response, and production troubleshooting. Collaborate cross-functionally and develop AI-powered solutions using low-code, no-code, and advanced platforms.

Lead a team to design, build and operate cloud-native, production-scale data platforms and data-intensive applications. Provide technical leadership, produce architecture artifacts, implement data engineering solutions and microservices, promote AI-assisted engineering practices, and mentor engineers while ensuring secure, reliable, and scalable delivery.

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.

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.

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.

Design, implement, and optimize enterprise Salesforce Data Cloud solutions, including data ingestion, identity resolution, profile unification, segmentation, calculated insights, activations, and customer 360 architectures. Integrate behavioral, marketing, CRM, transactional, SFTP, and API-based data sources with Salesforce platforms. Troubleshoot data quality and integration issues while collaborating with business, marketing, and engineering teams to support personalized omnichannel engagement and analytics.

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.

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.

Build, support, and maintain scalable cloud data platforms across Azure and AWS. Develop Databricks, Spark, PySpark, SQL, Python, ETL/ELT, and REST API ingestion pipelines. Monitor and troubleshoot cloud integrations, apply security and governance standards, and improve reliability and cost efficiency. Collaborate with architecture, security, FinOps, analytics, and business teams to deliver trusted data for reporting, AI, and operational decisions.

Design, develop, deploy, and maintain scalable, reliable, secure cloud applications and services. Collaborate with cross-functional teams to define requirements, architect solutions, and meet compliance standards. Troubleshoot cloud issues, implement preventative actions, oversee team tasks, manage project delivery, and mentor junior colleagues. Stay current with emerging cloud technologies while providing technical leadership and coaching with minimal supervision.

Design, develop, deploy, and troubleshoot scalable, reliable, secure cloud applications and services. Collaborate with cross-functional teams to define requirements, ensure compliance, resolve technical issues, and implement preventive improvements. Oversee work, manage end-to-end projects, provide guidance, and mentor junior colleagues while staying current with cloud technologies.

Support, maintain, and enhance enterprise backend systems within a managed services model. Develop and troubleshoot APIs, microservices, and integrations; manage incidents, RCA, performance tuning, database optimization, monitoring, CI/CD, deployments, and documentation while working with cross-functional onshore/offshore teams and meeting SLA requirements.

Lead end-to-end QA for Salesforce Sales Cloud and CPQ across Quote-to-Cash. Design and execute functional, regression, API, and end-to-end tests; build and maintain ACCELQ automation suites; validate data flows with external systems; support UAT; collaborate with developers, admins, and product owners; troubleshoot defects and ensure release quality.

Design, develop, optimize, secure, monitor, and maintain Azure SQL and SQL Server databases. Partner with product and application teams on schema, performance tuning, backup/DR, observability, cost optimization, multi-tenant patterns, and production troubleshooting. Define standards, participate in incident response and root cause analysis, and translate architecture and roadmap items into actionable backlog work.

The Cloud Developer builds solutions for mission-critical applications, collaborates with teams to deliver cloud services, and implements innovative technical solutions.

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.

Owner for enterprise desktop and cloud application platforms (Adobe CC/DC). Provide Level 3 troubleshooting, root cause analysis, cloud and systems engineering, automation, AI-enabled workflows, lifecycle management, security compliance, and operational documentation to ensure stable, scalable, and reliable application services.

Design, build, and operate scalable Azure cloud infrastructure and CI/CD pipelines. Automate configuration management, monitor systems with ELK/Grafana/Prometheus, orchestrate microservices on Kubernetes, manage databases, support on-call incident triage, and collaborate with developers to ensure security and performance.

Design, implement, and manage secure, scalable cloud infrastructure across AWS and Azure. Define architecture, sizing, interoperability, and standards; operate cloud services (EC2, RDS, EMR, Lambda, VPC, S3); build CI/CD pipelines and automation; produce documentation and run training; monitor health, lifecycle, and costs; support project implementation, disaster recovery, and operations while liaising with architects, security, and stakeholders.

Design, build, test, and deliver cloud-first retail integration services using Azure and .NET. Implement event-driven microservices, RESTful APIs, and data processing solutions. Work in Agile teams, practice TDD, use Azure DevOps, and collaborate across onshore-offshore teams to produce production-ready services.