Top Cloud Engineer Jobs in Pune

Leads architecture, automation, security, and administration of hybrid infrastructure across Linux, Windows, Kubernetes, Terraform, Azure, networking, and container platforms. Owns vulnerability remediation, patch management, incident response, cloud governance, and infrastructure standards. Mentors engineers, drives architectural decisions, partners with security and DevOps teams, and leads critical infrastructure initiatives from design through execution.

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.

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.

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.

Owns the architecture, evolution, security, and governance of cloud platforms across multiple client environments. Designs cloud foundations, infrastructure-as-code standards, resilience and disaster recovery strategies, security guardrails, and operational patterns. Provides technical leadership during critical incidents, supports architecture reviews and client escalations, and contributes to change governance, SLA design, audit readiness, and pre-sales activities. The role requires multi-cloud expertise, strong stakeholder communication, and experience with managed services and enterprise platforms.

Owns the architecture, evolution, security, resilience, and governance of multi-client cloud platforms. Designs cloud foundations, infrastructure-as-code practices, guardrails, disaster recovery, and operational standards. Provides technical leadership during critical incidents, advises Cloud Operations, supports architecture reviews and client escalations, and contributes to change governance, SLA design, audit readiness, and pre-sales. Requires extensive cloud architecture, security, compliance, automation, networking, Kubernetes, incident management, and stakeholder engagement experience.

Develop Oracle Integration Cloud integrations with Oracle Fusion using adapters, mappings, FBDI, REST APIs, and fault handling. Build BI Publisher reports with SQL data models, RTF or Excel templates, scheduling, and bursting. Support OTBI and potentially VBCS screen development. Work directly with clients and integrate Fusion with Model N across pricing, contracts, rebates, chargebacks, and customer and product master data.

Develop and support Oracle Cloud integrations using OIC, including REST/SOAP, file-based, and event-driven workflows. Build BIP data models, templates, OTBI reports, bursting definitions, and automated extracts. Develop VBCS applications, document technical designs, conduct testing and code reviews, troubleshoot production incidents, optimize performance, and manage Oracle Support requests. The role requires Oracle SaaS knowledge, SQL/PL-SQL, web services, authentication, and front-end development skills.

Build and maintain cloud data architectures, pipelines, warehouses, and lakes that securely process large-scale data. Develop data-processing and analysis algorithms, support container platforms, and collaborate with data scientists to deploy machine-learning models. The role requires AWS, Databricks, distributed computing, Hadoop, SQL, shell scripting, and Python expertise. Responsibilities also include operational excellence, risk and controls, stakeholder collaboration, problem-solving, and potentially leading and developing team members.

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.

Nagarro seeks an Associate Staff Engineer, Cloud to support team development, solve client challenges, and enhance solutions through teamwork and innovation.

Design, build, deploy, and operate production AI/ML systems on Google Cloud. Develop clean, tested Python; evaluate model quality; manage cloud networking and security; and ensure data and models remain within client boundaries. Explain AI trade-offs to clients, collaborate with Google Cloud teams, and own outcomes from prototype through reliable production use.

Design, secure, automate, and troubleshoot Google Cloud environments for partners and public sector clients. The role focuses on secure-by-default cloud foundations, networking, auditability, infrastructure automation, methodical debugging, and communicating technical decisions to clients and security reviewers. Candidates need substantial hands-on Google Cloud experience, a Professional Google Cloud certification, and six hours of daily overlap with North American Eastern time.

Designs and builds end-to-end data platforms on Google Cloud for regulated-sector clients. Responsibilities include developing reliable pipelines, modeling scalable data systems, optimizing performance and cost, ensuring data governance and regional compliance, and applying cloud networking and security practices. The role requires strong SQL and Python skills, client-facing communication, and ownership of project outcomes.

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.

Secure and improve Microsoft Azure environments through cloud security guardrails, landing zone governance, identity and access controls, networking, monitoring, encryption, secrets management, and compliance controls. Conduct posture reviews, remediate misconfigurations, support cloud incident investigations, secure infrastructure-as-code deployments, perform architecture reviews, and coordinate with engineering, Security Operations, GRC, and auditors.

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.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.

Provides global technical support for AlgoSec customers and partners, troubleshooting cloud infrastructure, Linux systems, applications, networking, security environments, and enterprise software. Investigates complex issues, coordinates with Support, R&D, Delivery, Product, and Sales teams, manages cases through resolution, and develops scripts and automations to improve support efficiency and reliability. Maintains technical documentation and contributes to support process improvement while working flexible hours in a 24x7 organization.

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.

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.