Top Cloud Engineer Jobs in Pune

Design, deploy, and operate containerized and serverless platforms on GKE, manage the enterprise Harness CI/CD platform, build standardized GitOps/IaC pipelines, embed DevSecOps controls, monitor platform health, onboard application teams, enforce policy-as-code governance, and collaborate with security and stakeholders to ensure secure, scalable, and repeatable deployments.

Designs and maintains cloud infrastructure using infrastructure-as-code, builds CI/CD pipelines, and improves reliability, scalability, security, and deployment workflows. Manages monitoring, alerting, logging, automation, incident response, and infrastructure troubleshooting across AWS and Azure environments. Collaborates with engineering teams, establishes DevOps tooling standards, and contributes to operational playbooks. Requires strong experience with Terraform, Linux, containers, Kubernetes, scripting, observability, and cloud security practices.

Design, configure, integrate, and optimize Oracle Cloud HCM and Oracle Recruiting Cloud solutions. Develop extracts, reports, data conversions, integrations, and automation; resolve complex platform issues; support quarterly releases; and ensure security, compliance, governance, and operational stability. Partner with HR, Talent Acquisition, and Technology stakeholders on requirements, modernization, and roadmap initiatives while delivering scalable solutions and improved employee, recruiter, and candidate experiences.

Build and maintain secure, scalable data architectures, pipelines, warehouses, and lakes. Develop data processing and analysis algorithms, support machine learning model deployment, own platform defects, review code, and improve analytics platform design. Collaborate with quants, architects, technology teams, and stakeholders while ensuring compliance with security, privacy, accessibility, risk, and governance standards. The role also involves advising teams, coordinating resources, and driving continuous engineering and operational improvements.

Designs, builds, and operates secure, scalable cloud data platforms supporting analytics, AI/ML, and enterprise data needs. Develops data pipelines, automation, governance, monitoring, CI/CD, disaster recovery, and cost optimization capabilities. Partners with architects, security teams, data scientists, analysts, and business stakeholders to deliver cloud-based data solutions. Provides technical leadership, evaluates emerging services, establishes engineering best practices, and mentors junior engineers.

Lead AWS infrastructure architecture, design documentation, security hardening, networking, infrastructure-as-code automation, disaster recovery, and performance and cost optimization. Plan and execute cloud migrations, upgrades, and deployments while managing complex Linux environments, web servers, databases, and parallel incidents. Collaborate with application, development, and leadership teams to deliver resilient, secure, and efficient cloud infrastructure.

Secure Rubiscape’s cloud deployment environments across AWS, Azure, GCP, hybrid, on-premises, and air-gapped infrastructure. Responsibilities include cloud architecture hardening, IAM governance, CSPM operations, Kubernetes security, IaC scanning, BYOC tenant isolation, compliance control validation, audit evidence preparation, and incident response. The role also develops security automation, supports remediation, and improves defenses following cloud security incidents.

Designs and operates Rubiscape’s multi-cloud infrastructure across AWS, Azure, GCP, and OCI. Responsibilities include landing zones, networking, Terraform infrastructure as code, cloud security controls, data residency architectures, Kubernetes platforms, cost optimization, BYOC deployments, disaster recovery, and backup procedures. The role also supports regulated and air-gapped environments while partnering with enterprise customers and maintaining reliable, auditable infrastructure at scale.

Build and maintain cloud-native deployment platform: backend microservices, CRDs/operators, GitOps pipelines, staging environments, multi-cloud and bare-metal automation, CI/CD integrations, monitoring and automated remediation for zero-downtime global rollouts.

Design, implement, operate, and maintain multi-cloud platforms across GCP, AWS, and Azure. Provide 24/7 cloud operations, troubleshooting, monitoring, security, compliance, backup, high availability, disaster recovery, and outage analysis. Automate infrastructure and deployment processes using Terraform, GitHub, scripting, and CI/CD practices. Support incident management, service requests, documentation, cloud workload migrations, and continuous improvement within ITIL-based operations.

Build and maintain cloud infrastructure and CI/CD pipelines (GitLab). Automate environment creation with Terraform, manage Kubernetes clusters and Istio, deploy cloud services (Kafka, Elasticsearch, Redis, RDS), implement monitoring and scaling, support production systems, and provide on-call troubleshooting and non-disruptive release capabilities.

Provide 24x7 L1 production support for wealth management applications, including incident triage, troubleshooting, application and batch monitoring, smoke testing, job scheduling, SQL-based data updates, alert management, escalation, root-cause analysis, reporting, disaster recovery documentation, and service improvement. The role coordinates with development, infrastructure, business, audit, compliance, and global support teams, with occasional night, weekend, and on-call duties.

Implement, operate, and maintain secure, automated GCP environments across dev-to-prod. Provision infrastructure with Terraform, manage containerized workloads (GKE, Cloud Run), configure networking and security, monitor with logging/observability tools, troubleshoot incidents, support CI/CD, and collaborate with cross-functional teams in Agile ceremonies.

Design, build, and maintain scalable, secure GCP infrastructure using IaC (Terraform/Deployment Manager). Implement CI/CD, monitoring, backup/disaster recovery, and security/compliance controls. Optimize performance, resolve complex infrastructure issues, document architectures, and collaborate with cross-functional teams to support data and AI workloads.

Migrate SQL Server data products and analytical workloads to a modern cloud platform. Redesign legacy SQL, ETL processes, and business logic; build scalable pipelines and analytical models; validate data quality; collaborate with stakeholders; and improve platform reliability, performance, cost efficiency, and AI-assisted data engineering automation.

Develop and customize IFS Cloud solutions using Aurena, IFS Developer Studio, and PL/SQL. Build integrations and REST APIs, troubleshoot application issues, support deployments/upgrades, manage user roles, and collaborate with stakeholders and IT teams to deliver technical solutions and continuous improvements.

Design, build, and support ServiceNow-centric integrations and AWS serverless components. Troubleshoot production integration issues, communicate with clients and teams, participate in agile processes, and maintain integration documentation and runbooks.

Design and lead cloud-native enterprise architectures, migrate legacy middleware to microservices on OpenShift/Kubernetes, implement integration patterns, DevSecOps and observability, produce HLDs/LLDs, drive governance and mentor teams.

Design, develop, and deploy AWS cloud-native and serverless applications. Build Lambda-based APIs, microservices, and CI/CD pipelines; integrate with AWS services and third-party tools; implement monitoring, logging, and alerting; troubleshoot production issues; collaborate with customers and teams to meet technical requirements and improve architecture.

Design, build and maintain cloud data pipelines, data warehouses and lakes; implement processing and analysis algorithms; collaborate with data scientists to deploy ML models; lead or support team operations and ensure security, controls and continuous improvement.

As a Cloud Support Engineer, you will resolve complex customer issues related to Ubuntu, ensure high satisfaction levels, and contribute to knowledge sharing.

Design, configure, and support AWS cloud infrastructure for financial systems. Implement and manage monitoring, logging, and observability solutions. Support production systems, troubleshoot incidents, perform root cause analysis, contribute to product configuration on AWS, collaborate with development/DevOps/architecture teams, participate in Agile/Scrum, and ensure cloud security, reliability, and operational best practices.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

Design, develop, and coordinate cloud data solutions using Snowflake, Python, and AWS. Support product releases, deployments, testing, and post-install support. Collaborate with architects and tech leads, troubleshoot issues, and maintain documentation. Contribute to agile squads, adopt new technologies, and enable Fidelity Wealth business data needs.

Design, build, and maintain cloud data pipelines and architectures using SQL, Python, Snowflake, and AWS. Implement CI/CD for data workflows, use developer assistance tools, and collaborate across teams to deliver reliable data solutions.