Top Cloud Engineer Jobs

The Salesforce Commerce Cloud Developer will implement features, integrate systems, troubleshoot issues, and participate in Agile sprints while leading delivery teams. They will handle documentation, prove new technologies, and support eCommerce strategies.

Design and scale distributed systems for Ditto's edge-to-cloud capabilities, lead services development in Rust, and mentor engineers.

As a Senior Cloud Infrastructure Engineer, you will architect and manage AWS infrastructure, lead Kubernetes strategies, and drive engineering practices to enhance reliability and scalability in a hybrid environment.

The Senior Cloud Infrastructure Engineer will architect, build, and operate AWS infrastructure, ensuring reliability, security, and scalability while leading technical initiatives and mentoring others.

As a Senior Software Product Engineer, you will enhance compliance solutions through advanced software development, performance optimization, and team collaboration to ensure high-quality outcomes and user experience.

Senior engineer responsible for designing, building, and operating scalable, secure cloud-native platforms and distributed systems. Work includes Kubernetes, containers, compute, storage, messaging/streaming, observability, SRE practices, cloud management, APIs, and developer-facing consoles. Collaborate with product, engineering, and security to improve automation, reliability, performance, availability, and cost efficiency while mentoring peers and triaging operational issues.

The Senior Staff Backend Engineer will enhance cloud infrastructure reliability and efficiency, design scalable solutions, and oversee the deployment of cloud services, analyzing business problems to optimize performance and availability.

The Senior Staff Backend Engineer will enhance cloud infrastructure's reliability and efficiency, design scalable systems, and collaborate across teams to improve architecture and deployment automation.

The ETL Developer will analyze data, support data processes, and ensure data quality, while documenting and optimizing data migration paths and utilizing ETL tools.

Nagarro is seeking an experienced Principal Engineer for cloud-focused initiatives, emphasizing innovative and strategic contributions in a non-hierarchical environment.

Design, implement, and maintain cloud platform infrastructure to ensure reliable, scalable, and secure services. Work with Kubernetes, IaC, configuration management, CI/CD, container management, and AWS IAM while collaborating with cross-functional teams and driving continuous improvement.

Senior hands-on engineer responsible for designing, deploying, and supporting Azure and hybrid cloud infrastructure. Lead Azure IaaS implementations, hybrid integrations, incident escalations, MSP oversight, automation with PowerShell/Azure CLI, and operational documentation for enterprise and manufacturing/edge-connected workloads.

Design, implement, and manage cloud infrastructure and services (multi-cloud) with IaC and CI/CD. Migrate and deploy applications, monitor/optimize performance, ensure security, troubleshoot outages, document architectures, and train teams.

Design and implement repeatable, secure marketplace deployment patterns across AWS/Azure/GCP; automate packaging and provisioning (AMI, containers, SaaS); integrate entitlement, metering, and usage reporting APIs; document runbooks and partner with product/platform teams to scale marketplace listings.

Lead hands-on development of scalable, secure enterprise applications. Partner with business stakeholders to design and deliver full-stack solutions using Python, React/Next.js, REST APIs, microservices, and cloud platforms (AWS). Work with enterprise data platforms (Snowflake, Databricks, PostgreSQL, SQL Server) to prototype and productionize impactful software.

Design, deploy, and secure Azure infrastructure using Terraform and PowerShell; build and maintain GitLab CI/CD pipelines; manage Azure networking and Azure Virtual Desktop; ensure compliance with federal frameworks (NIST, RMF, FedRAMP); monitor systems with Azure Monitor/Log Analytics; collaborate with stakeholders and support onsite customer needs.

Design, implement, and evolve enterprise cloud platform capabilities across cloud and hybrid environments. Build infrastructure automation and IaC frameworks, container orchestration (Kubernetes), observability, identity, and shared platform services. Drive cloud governance, cost optimization, reliability engineering, and AI-enabled automation. Provide technical leadership, standards, and consultation to support cloud adoption and platform modernization.

Design, develop, test, deploy, and sustain secure enterprise applications for DCSA using Java/Kotlin/TypeScript and Oracle/SQL Server in AWS GovCloud. Participate in SDLC, Agile teams, code reviews, CI/CD, documentation, compliance with federal security requirements, and deliver stakeholder briefings.

Manage and secure AWS-hosted OnGuard environments, onboard customers, automate deployments and monitoring, troubleshoot system and network issues, perform maintenance and security audits, develop IaC and automation tooling, participate in 24x7 on-call rotation, and collaborate with internal and customer teams to ensure high availability and performance of the managed service.

As a Software Engineer in Cloud Infrastructure, you will develop and deploy applications using cloud platforms and CI/CD tools, ensuring operational efficiency and application reliability.

Design, build, and maintain cloud-native ETL/ELT pipelines on AWS. Implement transformations with Python, PySpark, or SQL; orchestrate workflows; optimize storage (S3, Redshift, RDS, DynamoDB); enforce data quality, security, and monitoring; collaborate on CI/CD and infrastructure-as-code; troubleshoot production issues.

Design, implement, and maintain Azure-based data pipelines and analytics-ready datasets. Develop transformations, optimize SQL, contribute code across the platform, support production workloads, apply engineering patterns, work with stakeholders, and support CI/CD, testing, and monitoring for analytics and AI/ML use cases.

Design and validate cloud and data-center storage platforms: produce design specifications, test plans/results, and training materials; lead cross-functional delivery, mentor engineers, and feed operational lessons back into design improvements.

Design, build, and operate a multi-cluster, multi-tenant Kubernetes fleet for GPU inference. Extend Kubernetes with controllers/CRDs, implement GPU scheduling and autoscaling, own the network data plane, design cross-cluster connectivity and service mesh, drive reliability/SLOs, deliver IaC with Terraform/Helm/GitOps, and collaborate with platform, SRE, and security teams.

Design, develop, configure, and support enterprise Oracle Cloud EPM solutions (Planning, FCCS, ARCS, EDMCS, Narrative Reporting). Build integrations (REST APIs, EPM Automate, OIC), develop business rules/Groovy scripts, automate data loads and financial close processes, maintain BI Publisher reports, provide production support, lead upgrades and environment refreshes, optimize performance, enforce governance, and mentor junior engineers while partnering with Finance and IT stakeholders.