Top Cloud Engineer Jobs in Pune

Design, develop, test, deploy, maintain, and improve scalable Java applications on Google Cloud. Build cloud solutions using BigQuery, Dataproc, Composer, Terraform, Cloud SQL, and Cloud Functions. Develop APIs and microservices, manage Kubernetes/OpenShift/Docker deployments, and maintain automated CI/CD infrastructure. Participate in Agile ceremonies, code reviews, solution design, and continuous improvement while mentoring junior developers.

Design, deploy, and operate secure, highly available Azure infrastructure within a multi-cloud environment. Build Terraform-based infrastructure, AKS platforms, governance frameworks, CI/CD pipelines, and cloud integrations. Partner with security, networking, identity, database, and application teams; troubleshoot complex infrastructure issues; support compliance, incident response, SLOs, documentation, and on-call operations. Drive automation, toil reduction, and safe AI-assisted workflows across global technology teams.

Designs, automates, and operates reliable DevOps environments across Azure, on-premises, and hybrid infrastructure. Builds Azure DevOps and GitHub Actions pipelines, automates provisioning with PowerShell, Python, Bicep, or Terraform, administers servers and networking, and implements identity, secrets, monitoring, and release controls. Supports database operations, AI workload deployments, incident response, recovery planning, and production readiness while communicating risks and delivery status directly to clients.

Designs, develops, supports, and optimizes scalable data pipelines and distributed processing workloads. Writes production-grade Python, PySpark, and SQL; tunes Spark and SQL performance; troubleshoots Linux and AWS infrastructure; improves monitoring, reliability, security, and cost efficiency; performs root cause analysis; and collaborates with engineering, product, architecture, and operations teams. The role also supports AI-enabled data workflows using LLMs, Amazon Bedrock, Agentic AI, and MCP.

Design, develop, test, deploy, and maintain scalable Java and Google Cloud applications. Build microservices and integrations, apply CI/CD and DevOps practices, perform code reviews, participate in Agile ceremonies, and contribute to solution design and continuous improvement. The role requires hands-on experience with GCP services, Kubernetes-based platforms, infrastructure automation, build pipelines, and automated testing, along with the ability to work independently and guide junior team members.

Designs and maintains Salesforce Data Cloud solutions for audience segmentation, activation, real-time ingestion, and data governance. Responsibilities include developing SQL queries, configuring Data Extensions, Data Model Objects, Data Streams, Calculated Insights, and Computed Traits; architecting cloud integrations with Snowflake, AWS, Azure, or GCP; resolving data quality issues; and implementing consent and governance frameworks.

Design, deploy, and automate scalable hybrid cloud infrastructure across AWS and Azure using IaC (Terraform/CloudFormation/ARM/Bicep). Build CI/CD pipelines, implement observability (Prometheus, Grafana, Datadog, CloudWatch, Splunk), lead incident response and RCA, define SLIs/SLOs, enforce DevSecOps practices, manage access (IAM/Azure AD/RBAC), and collaborate with engineering teams to optimize reliability and performance.

Develop and maintain cloud-enabled services and integration capabilities for the Mastercam CAD/CAM platform. Build reliable communication between C++ desktop applications and cloud services, extend C++/.NET SDKs and APIs, and support compatibility across versions and environments. Contribute to large-scale software projects through design, implementation, testing, peer reviews, Agile planning, and technical coordination. The role also supports third-party developers and requires expertise in native and managed runtimes, microservices, computational geometry, and cloud integration.

Develop software and data warehousing solutions supporting fraud detection and identity proofing. The role involves Java, Python, SQL, Snowflake, Yugabyte, ETL/ELT, cloud deployment, containerization, continuous integration, automated deployments, event-based systems, and structured and unstructured data stores. Responsibilities support AWS-based customer protection technology and may involve Docker, Kubernetes, Jenkins, Kafka, Terraform, and related data platforms.

Develops and supports cloud-based data solutions using AWS services, Python, PL/SQL, ETL, PostgreSQL, and PySpark. Responsibilities include data migration and ingestion, analytical problem-solving, debugging, API integration, and potentially Power BI support. The role requires strong cloud engineering experience and familiarity with AWS S3, Glue, Lambda, and IAM roles.

Build and manage cloud platforms, frameworks, and CI/CD infrastructure across production environments. Lead DevOps engineering practices, secure SDLC implementation, cloud architecture, infrastructure as code, Kubernetes and containerization initiatives. Mentor engineers, establish technical design standards, and promote DevOps culture. Design AI-assisted operational automation with appropriate security controls, governance, auditability, and human oversight for incident response, infrastructure management, deployments, and developer productivity.

Provides hands-on architecture and engineering leadership for Mastercard’s real-time payments platforms. Designs and builds scalable, resilient microservices and event-driven systems; owns performance, security, reliability, observability, and production readiness. Leads technical design and code reviews, resolves complex distributed-systems problems, drives cross-market platform consistency, mentors engineers, influences technology roadmaps, and supports technical hiring.

Manage and enhance endpoint management across macOS, Windows, and mobile devices using Jamf Pro and Microsoft Intune. Implement endpoint security, compliance, identity integration, application deployment, patching, and Zero Trust controls. Provide L3 support, troubleshoot policy and deployment issues, automate tasks with Bash or PowerShell, monitor device health, maintain documentation, and improve user experience and operational processes in a remote distributed environment.

Build and maintain reliable, scalable, and secure cloud infrastructure and deployment platforms. Develop automation, monitor system performance, manage incidents, implement security controls, and improve observability. Collaborate with product managers, architects, data scientists, and engineers to deploy digital solutions and machine learning models. The role also involves advising stakeholders, managing risk and controls, influencing technical decisions, and potentially leading or coaching team members.

Develop and maintain cloud automation solutions across AWS and Azure using Python, PowerShell, Bash, and JavaScript. Build Infrastructure-as-Code, CI/CD pipelines, serverless services, container automation, governance guardrails, and AI-enabled CloudOps workflows. Support provisioning, scaling, patching, backup, disaster recovery, and decommissioning while ensuring reliability, security, observability, and operational readiness. Collaborate with architecture, security, platform, and operations teams in an Agile environment, providing technical leadership and reusable documentation.

Design and implement distributed cloud software for a wireless network management platform serving millions of devices. Responsibilities span requirements gathering, architecture, Java backend development, microservices, integrations, operations, troubleshooting, performance tuning, scalability, customer pilots, and production releases. The role also involves developing and shipping production LLM-based features using retrieval and agentic systems in an agile, in-person R&D environment.

Designs, deploys, and operates scalable, secure, reliable, and cost-effective cloud landing zones on GCP and Azure. Responsibilities include cloud architecture, infrastructure automation with Terraform or Ansible, security and governance, monitoring, cost optimization, troubleshooting, CI/CD support, documentation, and collaboration with infrastructure and engineering teams. The role requires hands-on cloud-native expertise across Kubernetes, Docker, microservices, and cloud operations.

Own and operate the AI security runtime control plane across Azure, AWS, and GCP. Build inline AI enforcement, tune prompt-injection, data protection, tool-call, and agent access policies, and integrate security platforms with SIEM/SOC workflows. Lead L3 investigations, automated containment, cloud and Kubernetes security, DevSecOps controls, vendor evaluations, and closed-loop red-team remediation. The role requires automation, infrastructure-as-code security, multi-cloud identity management, incident response, and collaboration with technical leadership.

Designs, develops, tests, and maintains scalable digital platforms, websites, portals, and business applications. Builds Java and Spring Boot backends, responsive frontends using JavaScript frameworks, and cloud-integrated solutions across AWS, Azure, and GCP. Owns end-to-end delivery, rapid prototyping, agile development, performance optimization, debugging, documentation, and secure coding practices.

Design, develop, test, and maintain scalable cloud-based digital platforms, websites, portals, and business applications. Build Java and Spring Boot backends, responsive frontends using JavaScript frameworks, and integrate solutions with AWS, Azure, and GCP. Own end-to-end delivery, rapidly prototype products, apply agile practices, optimize performance, maintain code quality, and implement secure DevSecOps practices.

Designs, automates, and maintains AWS cloud infrastructure and platform services using Terraform and Ansible. Builds continuous deployment solutions with Kubernetes, ArgoCD, Jenkins, and GitHub Actions; partners with development teams on cloud-native architectures; monitors applications, participates in on-call support, and develops observability, alerting, remediation, and reliability strategies.

Design, operate, and optimize cloud infrastructure and internal developer platforms across AWS, GCP, and Azure. Manage Kubernetes clusters, container systems, CI/CD pipelines, observability, infrastructure as code, security controls, and operational automation. Troubleshoot distributed systems, improve reliability and cost efficiency, and develop tooling with Go, Python, Terraform, and related technologies. The role also applies AI and machine learning tools to automate DevOps workflows and enhance developer productivity.

Develop and support Salesforce Marketing Cloud solutions, including Journey Builder journeys, Automation Studio automations, data extensions, email templates, landing pages, AMPscript, SSJS, integrations, reporting, and deliverability monitoring. Troubleshoot production incidents, perform testing and root-cause analysis, maintain governance and documentation, participate in Agile releases, and train business users. The role requires strong Salesforce Marketing Cloud development, administration, data management, SQL, integration, and stakeholder communication skills.

Lead and direct the design and development of secure software solutions. Mentor junior developers, promote best practices, and influence development across the organization. Communicate with senior leaders and stakeholders to align on innovative projects and practices.

Manage SAP systems across on-premise and cloud (AWS/Azure/GCP) including BASIS administration, HANA DB maintenance, system monitoring (SolMan/Cloud ALM), troubleshooting, RISE/Fiori/integration support, and cloud operations and cost optimization.