Top Cloud Engineer Jobs

Deploys, automates, maintains, and troubleshoots secure Microsoft Azure infrastructure in mission-critical enclave environments. Responsibilities include Azure DevOps CI/CD, Terraform/Bicep/ARM IaC, Azure Virtual Desktop image management, IAM, Windows services administration, PowerShell automation, monitoring, security, documentation, and escalation support. Collaborates with engineering, cybersecurity, development, and operations teams to modernize cloud environments.

Architects, deploys, and operates enterprise Kubernetes platforms across hybrid AWS and Azure environments. Supports containerized and virtualized workloads with KubeVirt, builds observability and DevSecOps capabilities, automates infrastructure through Terraform or Ansible, and manages GitOps workflows using Argo CD and Helm. Leads cloud modernization, governance, networking, security, compliance, and troubleshooting for bare-metal and hybrid clusters. Provides technical leadership through mentoring, design reviews, and cross-functional collaboration.

Develop and optimize resilient, large-scale cloud services supporting AI training workloads. Design Kubernetes-orchestrated microservices, APIs, job submission abstractions, lifecycle automation, checkpointing, telemetry, and failure recovery systems. Collaborate on distributed systems spanning cloud and on-premises AI clusters, integrating with NVIDIA resiliency infrastructure and HPC platforms. The role requires backend development experience, cloud and container expertise, and familiarity with AI frameworks, schedulers, GPUs, and high-performance computing.

Designs and builds hyperscale storage fleet resiliency systems for Azure, including live monitoring, fault detection, prediction, isolation, repair automation, and firmware deployment for SSDs, HDDs, and storage accelerators. The role analyzes fleet data, improves reliability and quality, collaborates with hardware, firmware, software teams and suppliers, and supports Azure service stakeholders.

Design, develop, and support enterprise API platforms using Apigee, Java, Spring Boot, and cloud technologies. Build scalable services and integration solutions, enforce API security, support Kubernetes environments, and optimize performance and reliability. Develop CI/CD pipelines and infrastructure automation while applying DevOps and SRE practices. Partner with security, application, and infrastructure teams on authentication and authorization, observability, incident response, and production support.

Develop and maintain scalable, secure Java full-stack enterprise applications using Spring, Hibernate, modern front-end technologies, microservices, and RESTful APIs. Responsibilities include designing services and interfaces, conducting code reviews, mentoring developers, troubleshooting production issues, optimizing performance, supporting CI/CD and cloud deployments, and maintaining architecture and security documentation. The role also involves collaborating with cross-functional teams, supporting containerization and infrastructure automation, and improving system reliability and compliance.

Design and implement cloud service delivery models (PaaS/IaaS/SaaS/DaaS), automate cloud resources using DevSecOps, migrate and debug on-prem applications to cloud, optimize cost/availability/recovery, manage cloud policies and security, and independently develop new cloud software or major enhancements.

Designs and maintains highly available AWS environments using Terraform and automation. Builds CI/CD pipelines, developer tooling, internal APIs, and self-service capabilities. Administers Windows Server, Active Directory, and SQL Server, including migrations, backups, disaster recovery, monitoring, performance tuning, and incident response. The engineer also performs cost optimization, capacity planning, documentation, technical leadership, and mentoring while supporting production systems under formal change control.

Provide SETA support for U.S. Government cloud R&D programs. Design, architect, manage, secure, and optimize cloud environments across multiple providers and classification levels. Recommend cloud adoption, development, migration, and solution architecture strategies; support researchers with cloud integration and problem resolution; and contribute to AI/ML research and organizational innovation. Requires extensive cloud engineering experience, systems knowledge, UNIX and Windows expertise, Python and Jupyter Lab experience, and an active TS/SCI clearance with polygraph.

Leads the architecture, development, and deployment of high-throughput, cloud-native microservices supporting credit and market risk platforms. Designs distributed systems, event-driven services, APIs, data architectures, and CI/CD pipelines while optimizing scalability, concurrency, latency, and resiliency. Applies AI-assisted engineering tools, establishes quality and observability standards, mentors engineers, and partners with quantitative analysts, risk managers, and architects to deliver real-time risk analytics and maintain governance controls.

Manage cloud security governance across AWS and Azure, using CSPM tools to identify risks, define controls, drive remediation, track security posture, and report to leadership. Partner with infrastructure, application, architecture, and GRC teams to enforce NIST and CIS-aligned standards. Support cloud telemetry integrations, risk management, exception processes, and Proofpoint email security operations.

Owns UpSwell’s Azure environment and leads migration from private cloud infrastructure to Microsoft Azure. Responsibilities include Azure architecture, infrastructure management, reliability, monitoring, security, CI/CD, infrastructure as code, automation, cost optimization, vendor coordination, documentation, and on-call incident response. The role partners with technical and business stakeholders to modernize infrastructure, improve scalability, minimize disruption, and establish secure, reliable cloud operations.

Develop and enhance cloud-based web applications for data tracking, metrics, approval workflows, and compliant data movement. Collaborate with customers, systems engineers, and developers on requirements, design documents, demonstrations, integration, testing, and product evaluation. Participate in Agile ceremonies, manage Jira tickets, and apply software engineering standards and best practices. The role requires extensive software development experience, AWS-related certification, and an active TS/SCI clearance with current polygraph.

Designs, implements, and manages hybrid and multi-cloud network infrastructure across GCP, AWS, Azure, OCI, and on-premises environments. Responsibilities include cloud and VPC architecture, Cisco and Palo Alto networking, F5 load balancing, BGP and OSPF routing, LAN/WAN/Wi-Fi/SD-WAN deployment, network automation, monitoring, troubleshooting, high availability, capacity planning, DNS management, and security integration.

Designs and maintains cloud security controls across AWS and Azure, including Terraform and Python automation, posture hardening, and account guardrails. Owns vulnerability management, detection tuning, SIEM and log-ingestion pipelines, container scanning, and incident response participation. Partners with engineering and product teams on architecture, authentication, application security, and code reviews. Supports FedRAMP and other compliance programs through documentation, evidence collection, monitoring, training exercises, and customer security questionnaires.

Design, develop, configure, optimize, and support Oracle Cloud HCM Fast Formulas across HCM modules. Collaborate with business and technical stakeholders to translate requirements into scalable solutions, troubleshoot formula issues, support integrations and reporting, document technical processes, and promote development and deployment best practices.

Develop and maintain backend services, REST APIs, and distributed systems for secure cloud connectivity. Build cloud-native solutions across AWS and GCP, troubleshoot application and networking issues, improve testing and observability, and support production reliability through on-call participation. The role primarily uses Go, with opportunities to contribute to TypeScript and React frontend applications and collaborate across engineering, infrastructure, security, and product teams.

Owns and evolves a Google Cloud application and data platform spanning infrastructure, deployments, Kubernetes, data pipelines, BigQuery, security, observability, and reliability. Builds CI/CD and infrastructure-as-code automation, manages data quality and governance, leads incident response, and supports scalable production operations. Collaborates with engineering, security, analysts, and business stakeholders while using AI and developing AI agents to automate workflows and improve delivery efficiency.

Designs, integrates, and maintains scalable cloud-based systems and services. Responsibilities include cloud architecture, systems integration, verification and validation, requirements analysis, monitoring distributed systems and virtual machines, performance optimization, and resolving functionality, configuration, and integration issues.

Designs and improves identity and access management, authentication, privileged access, cloud security, and Zero Trust capabilities. Develops security automation and integrations, evaluates applications and cloud services, and provides hands-on security engineering support for enterprise initiatives. Collaborates with technology and business partners to implement secure identity solutions across organizational systems.

Designs, deploys, and operates scalable cloud networking infrastructure, including VPCs, VNets, hybrid connectivity, transit topologies, DNS, edge networking, and security controls. Requires strong traditional networking expertise, cloud platform experience, Terraform automation, Kubernetes networking knowledge, troubleshooting skills, and packet-level analysis. Collaborates with cross-functional teams, contributes to design and code reviews, and mentors junior engineers.

Designs, develops, tests, deploys, monitors, and supports enterprise integrations using Oracle Integration Cloud. Connects Oracle Cloud Applications, on-premises Oracle systems, and third-party platforms. Responsibilities include integration architecture, API management, REST and SOAP services, Visual Builder and Process Cloud applications, scripting, security implementation, troubleshooting, documentation, and migration from Oracle SOA Suite. The role also supports integration lifecycle ownership and may involve DevOps, CI/CD, event-driven OCI integrations, and Oracle database connectivity.

Designs, implements, and operates security controls across Oracle Cloud and hybrid environments. Responsibilities include cloud security architecture, workload hardening, IAM and identity federation, vulnerability management, compliance programs, SIEM integration, incident response, and security automation. The engineer will use Python, Bash, and Terraform, collaborate with cross-functional teams, conduct design and code reviews, and mentor junior engineers.

Designs, builds, and maintains scalable AWS and on-premises data pipelines supporting genomic data science models. Responsibilities include API ingestion, storage, transformation, data modeling, workflow development, troubleshooting, documentation, infrastructure-as-code, and cross-functional collaboration. The role requires hands-on AWS pipeline development, HPC experience, container orchestration, Python and SQL expertise, CI/CD, secure access management, and production data engineering leadership in a consulting environment.

Operate and support AWS GovCloud environments, including deployment, monitoring, patching, incident response, troubleshooting, security compliance, change management, documentation, audits, and cost optimization. The engineer will administer Windows and/or Linux servers, coordinate with internal and vendor teams, improve operational processes through automation, manage projects independently, and participate in a rotating on-call schedule.