Top Cloud Engineer Jobs in Pune

Design, develop, and deploy customizations, integrations, reports, and workflows within IFS Cloud. Build API integrations (REST/SOAP), BPAs, custom pages, and extensions; support testing, upgrades, data migration, documentation, security/compliance, and train stakeholders while enabling AI-powered automation.

Designs, provisions, secures, and maintains AWS and hybrid-cloud infrastructure. Builds CI/CD pipelines, automates infrastructure with Terraform and CloudFormation, manages containerized Kubernetes and ECS workloads, administers Linux and Windows systems, and implements monitoring, logging, high availability, and disaster recovery. The role also supports networking, cloud security, configuration management, troubleshooting, operational excellence, and cost optimization across multi-account and potentially multi-cloud environments.

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.

Design, deploy, and support secure, scalable GCP cloud platforms and services. Build infrastructure-as-code with Terraform, CI/CD pipelines with Tekton, Python automation, OpenShift deployments, and ArgoCD GitOps workflows. Manage IAM, observability, high availability, disaster recovery, vulnerability remediation, cloud costs, and operational resilience. Provide technical leadership, on-call support, architecture input, and developer self-service improvements across enterprise cloud environments.

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.

Develop and extend SAP Hybris and Commerce Cloud e-commerce platforms, including Spartacus storefronts, backend services, custom extensions, workflows, and third-party integrations. Build scalable checkout, inventory, pricing, promotions, search, and cart features. Troubleshoot production issues, optimize high-volume performance, support cloud deployments, and maintain high availability through code reviews and engineering best practices.

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.

Designs, governs, and supports secure, scalable GCP platforms across multiple environments. Leads cloud architecture, Terraform-based infrastructure automation, Kubernetes and container deployments, networking, reliability engineering, monitoring, incident response, disaster recovery, and production readiness reviews. Establishes cloud standards, security controls, SLIs and SLOs, and mentors engineering teams. Collaborates with architecture, development, QA, security, networking, and offshore teams to improve automation, performance, availability, and operational excellence.

Owns and modernizes Litmos’s Microsoft Azure environment, including infrastructure, networking, governance, security, cost optimization, and cloud-native migrations. Administers SQL Server and supports PostgreSQL, Synapse, and Azure AI Foundry platforms. Builds Infrastructure as Code with Bicep, automates operations using PowerShell and Python, improves CI/CD, strengthens observability and disaster recovery, and supports GDPR compliance across a distributed US/Australia team.

Configure, deploy, operate, and monitor high-volume batch data delivery workflows on Google Cloud using Apache Airflow. Perform data quality validation, troubleshoot configuration and scheduling issues, support production incidents, maintain documentation, and collaborate with Engineering and Data Operations to improve reliability, automation, and client data delivery.

Design, develop, support, and integrate Salesforce solutions (Apex, LWC, Experience Cloud/B2B Commerce). Build modular, tested code; integrate with ERP/OMS and common eCommerce services; document configuration and collaborate with teams using Jira, Slack, and source control.

Design, build, and operate scalable AWS data pipelines, ETL/ELT workflows, data lakes, warehouses, and infrastructure. Develop transformations using Python, SQL, and PySpark; implement Terraform and CI/CD; ensure data quality, governance, security, monitoring, and reliability. Collaborate with analytics, ML, cloud security, database, and business teams to deliver data products. Drive automation, agentic workflows, cost optimization, incident response, documentation, and operational improvements, including participation in on-call rotations.

Build and maintain cloud data architectures, ETL pipelines, data warehouses, and data lakes. Develop scalable processing and analysis algorithms, ensure data quality, security, governance, and accessibility, and collaborate with data scientists to deploy machine learning models. The role requires advanced SQL, cloud platforms, big data technologies, dimensional modeling, automation scripting, and enterprise ETL experience. It also involves technical problem-solving, stakeholder communication, risk management, and potentially leading a team.

Own cloud and infrastructure security architecture across Azure and AWS, including network segmentation, workload isolation, hardened images, Kubernetes, policy as code, AI workload security, and vulnerability management. Build secure-by-default infrastructure modules, landing zones, and automated evidence processes. Establish cloud posture and workload protection practices, drive remediation through pull requests, and ensure controls satisfy ISO 27001, SOC 2, and future regulatory requirements.

Lead design and development of cloud-native data solutions on GCP. Collaborate with data science, marketing, and engineering teams to implement governance, scalable data pipelines, analytics integrations, and ensure security and performance standards.

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.

Design, provision, deploy, and operate resilient GCP infrastructure supporting AI and automation workloads. Use Terraform to automate repeatable deployments, maintain production systems, monitor services, respond to incidents, and improve platform reliability. The role also contributes to cloud governance and compliance, collaborates with stakeholders and vendors, and may mentor less experienced team members.

Provide L1/L2 production support for financial applications, including incident triage, application and batch monitoring, troubleshooting, root-cause analysis, release support, and cloud application operations. Monitor alerts, job schedules, databases, APIs, and infrastructure; coordinate escalations and stakeholder communications; support deployments, disaster recovery, audits, and continuous service improvement. The role includes on-call, night, weekend, and 24x7 rotational support.

Provides L1 production support for financial applications and enterprise data platforms. Responsibilities include monitoring ETL jobs, data pipelines, batch schedules, alerts, and incidents; troubleshooting data quality, reconciliation, ingestion, reporting, and application issues; performing SQL-based data updates, smoke testing, root-cause analysis, and impact assessment; coordinating with technical and business teams; escalating complex issues; supporting disaster recovery, audits, automation, and continuous service improvement.

Owns end-to-end QA coverage across firmware, cloud services, and mobile applications for IoT products. Tests device-to-cloud communication, APIs, business logic, connectivity failures, offline operation, OTA updates, and rollback scenarios. Analyzes device and cloud logs, develops test data strategies, prioritizes automation scenarios, and maintains smoke and regression testing processes. Requires systems thinking, embedded and mobile testing experience, API testing, Agile QA processes, and familiarity with relevant test management tools.

Leads hands-on security, automation, compliance, and operational foundations for a Managed AI cloud platform. Designs CI/CD pipelines, Infrastructure as Code, security controls, compliance validation, observability, deployment automation, secrets management, AI governance, and incident response across Azure and GCP. Provides technical leadership, mentors engineers, and participates in architecture, code review, and platform governance activities.

Develop enterprise-grade cloud applications for IBM using Java, AWS, REST APIs, microservices, and Golang. The role requires full-stack application development expertise, cloud application experience, and at least four years of professional experience. This is a work-from-office position in Pune, with local candidates preferred.

Leads software design, implementation, optimization, and technical consulting engagements for Cisco customers. Translates business requirements into solution architectures, supports presales and project scoping, develops integrations and simulations, resolves complex technical issues, and creates documentation and training. Provides customer guidance, mentors engineers, and contributes to strategic projects involving software development, cloud, microservices, automation, databases, AI, and Cisco service technologies.

Design, implement, and operate enterprise-scale Windows and macOS lifecycle management using Jamf Pro and Intune. Own device enrollment, policy/configuration, patching, compliance monitoring, remediation workflows, Jamf-Intune integration, reporting, and endpoint security hygiene. Serve as customer-facing SME collaborating with senior engineers and delivery leads to drive device strategy and operational governance.

Support and administer Azure infrastructure and database services for a regulatory reporting platform. Responsibilities include monitoring availability, performance, capacity, and security; maintaining SQL Server and Azure SQL; supporting deployments, backups, recovery, and disaster recovery; troubleshooting production issues; implementing automation and Infrastructure as Code; and contributing to DevOps, observability, resilience, compliance, and technical documentation.