Top Cloud Engineer Jobs

Designs, deploys, supports, and advances on-premises and cloud infrastructure, including Azure, Microsoft 365, Entra ID, and Intune. Manages communications and event-management platforms, responds to incidents, leads troubleshooting and root-cause analysis, and supports network, firewall, wireless, and Internet services. The role also develops documentation, workflows, and performance reports while collaborating with vendors and global IT teams.

Design, build, and maintain Go-based backend microservices and Kubernetes operators for a hybrid cloud management platform. Implement REST APIs, manage PostgreSQL schemas and migrations, integrate with internal platform and cloud provider APIs, and ensure quality through unit/integration tests and system-level validation against real clusters.

Lead cross-functional initiatives to mature cloud and enterprise detection infrastructure, including telemetry pipelines, detection-as-code, logging, and scalable coverage. Design and tune detections for cloud, identity, endpoint, SaaS, CI/CD, and service-to-service threats. Conduct threat hunting, support incident response and on-call operations, apply threat intelligence and adversary emulation, mentor SOC engineers, and improve detection capabilities based on incident lessons learned.

Own and improve the security posture of Robinhood’s AWS cloud infrastructure. Build and operate foundational security controls, automation, safe defaults, and developer-friendly security capabilities. Secure enterprise applications using AWS services, Terraform, and Golang or Python while applying least-privilege principles, AWS Well-Architected practices, and CIS Benchmarks.

Design, deploy, and operate resilient distributed data infrastructure across AWS and private cloud environments. Automate deployments and operations with Terraform, Ansible, Kubernetes, and CI/CD tools. Lead capacity planning, performance tuning, backups, patching, incident management, and production reliability initiatives. Advise application teams on data access patterns and cloud migration while leading technical projects and stakeholder communications.

Build and evolve cloud platforms, infrastructure, self-service capabilities, automation, and deployment tooling. Develop resilient cloud solutions, CI/CD pipelines, infrastructure as code, and platform management patterns across Azure and other cloud environments. Collaborate with product, design, architecture, and engineering teams, investigate technical issues, improve platform operations, eliminate manual processes, and mentor teammates.

Build, enhance, and support a cloud-hosted relational database platform for acoustic-telemetry fish-tracking data. Responsibilities include data modeling, ingestion and ETL/ELT pipelines, validation, reporting views, exports, APIs, security, monitoring, backups, documentation, and production operations. The engineer will collaborate with biologists, data scientists, agency staff, and client stakeholders, and help develop safeguards for natural-language data queries.

Leads cloud financial management and optimization across AWS, Azure, and GCP clients. Analyzes spending, allocation, commitments, unit economics, forecasts, and savings opportunities; builds reporting and automation with SQL and scripting; and governs tagging and billing data. Advises technical, financial, procurement, and executive stakeholders, presents recommendations, executes remediation, mentors engineers, supports pre-sales, and improves FinOps standards and delivery practices. The remote U.S. role includes up to 10% domestic travel and occasional after-hours support.

Designs, builds, manages, and scales secure Microsoft Azure infrastructure across multiple security classification fabrics. Responsibilities include provisioning resources, automating deployments with IaC, monitoring and optimizing cloud environments, implementing security and compliance controls, troubleshooting incidents, and supporting hybrid cloud integration. Provides Azure architecture leadership, team guidance, training, and cloud adoption support while collaborating with development and IT operations teams in an Agile/Scrum environment.

Architects, implements, and operates secure, scalable Microsoft Azure solutions supporting generative AI and scientific research. Develops Terraform infrastructure, automation, and CI/CD pipelines; integrates compute, storage, networking, identity, security, monitoring, APIs, and AI services. Troubleshoots performance, reliability, security, and cost issues across application and infrastructure layers. Partners with developers, AI engineers, security teams, and customers to translate requirements into architecture, mentors engineers, evaluates tradeoffs, and supports compliance and authorization activities.

Provides technical presales support for VoIP and unified communications opportunities. Partners with Account Executives on solution architecture, demonstrations, technical scoping, competitive positioning, migration planning, number porting, network readiness, hardware provisioning, routing, and telecom compliance. Guides prospects through cloud communications migrations, translates technical concepts into business value, supports deal strategy and revenue goals, and collaborates with Product, Engineering, and Customer Success to communicate market needs and influence the roadmap.

Manage and optimize AWS and Azure cloud infrastructure, build CI/CD pipelines, provision infrastructure with Terraform and Ansible, and manage Kubernetes environments. Improve monitoring, observability, performance, security, compliance, and cost efficiency using Datadog and automation. Enable developer self-service through GitOps, APIs, UIs, and tooling. Troubleshoot incidents, resolve complex cloud issues, mentor junior engineers, and lead DevOps initiatives.

Lead the architecture, implementation, and operation of secure, scalable cloud infrastructure for AI platforms, including LLMs, vector databases, model inference, agentic systems, and predictive analytics. Build MLOps pipelines, Infrastructure-as-Code environments, monitoring and observability capabilities, and edge computing infrastructure. Optimize reliability, performance, governance, security, compliance, and costs while integrating AI platforms with enterprise systems and supporting operational use cases.

Lead design and implementation of enterprise-scale agentic AI and cloud-native solutions (APIs, microservices, CI/CD, streaming). Architect RAG, vector DBs, MCP integrations and multi-agent orchestration, mentor engineers, drive technical standards, research emerging technologies, and partner across teams to deliver scalable, secure AI solutions for claims adjudication.

Develop and maintain web interfaces, dashboards, AWS applications, automated workflows, and AI/ML integrations. Responsibilities include writing and testing software, debugging systems, integrating existing tools, designing database interfaces, optimizing cloud applications and models, and collaborating across the software development lifecycle. The role requires seven years of software engineering experience, a relevant bachelor’s degree or equivalent experience, and an active TS/SCI clearance with Maryland polygraph.

Build, configure, secure, operate, test, and maintain scalable cloud-hosting environments supporting NSA missions. The role provides end-to-end cloud and network infrastructure support, including migrations, integrations, monitoring, documentation, release management, PKI, IPsec, SDN, VPNs, cybersecurity tools, and highly available network design. Candidates need Python proficiency, AWS experience, strong analytical skills, an active TS/SCI with polygraph clearance, and substantial relevant technical experience.

Design, migrate, and operate Microsoft Azure and Microsoft 365 solutions. Deploy VNets, VPNs, load balancers, Azure AD, App Services, and hybrid Exchange/AD integrations. Lead moderate migrations, automate with PowerShell/Azure CLI/Microsoft Graph, monitor and optimize cloud resources, and ensure security and compliance while collaborating with cybersecurity and network teams.

Lead Azure and Microsoft 365 cloud strategy and full lifecycle transformations. Architect secure, compliant solutions (AKS, Synapse, Logic Apps, Sentinel), drive M365 migrations, implement zero-trust, DLP, and Purview governance, advise leadership, and represent cloud during audits and executive planning.

Designs, maintains, and troubleshoots enterprise networking and cloud security across on-prem, data center, and Azure environments. Supports switching, routing, firewalls, SASE/SSE, Zero Trust, hybrid connectivity, monitoring, and automation. Responds to escalations, develops runbooks and architecture documentation, and participates in modernization and security reviews.

Architect, scale, and secure AWS infrastructure using IaC and automation. Build self-service templates, maintain FedRAMP-ready configurations, support incident response, optimize performance with Datadog, and mentor junior engineers.

Lead architecture and development of reliable, scalable distributed storage services for AI/ML. Build and maintain Go applications, containers, bindings, and CLI tools deployed on Kubernetes. Enhance availability, automate deployment and monitoring, and collaborate with research, product, engineering, and customers. Requires ownership of enterprise software throughout its lifecycle, with experience in distributed systems, cloud services, storage interfaces, and large-scale deployments.

Designs, deploys, and integrates secure Google Cloud Platform and Microsoft Azure environments with existing infrastructure. Implements cloud-native security controls, monitors compliance, investigates and remediates complex security incidents, automates controls through CI/CD pipelines, and enforces regulatory requirements. The role also evaluates cloud security tools, documents best practices, collaborates with technical teams, and mentors junior security staff.

Design, build, and maintain automation workflows and integrations across Microsoft 365, Google Workspace, and other SaaS platforms using PowerShell, Python, Azure services, and APIs. Automate user management, notifications, data sync, and access workflows while implementing secure logging, monitoring, error handling, and documentation. Collaborate with IT, Security, and business teams to optimize processes and reduce manual work.

Provide advanced technical support for Azure-hosted applications and customer environments. Troubleshoot database refreshes, upgrades, application errors, batch processing issues, and performance degradation across test and production systems. Collaborate with hosting and infrastructure teams, analyze recurring incidents, recommend long-term solutions, document resolutions, and contribute to knowledge-base content. The role requires customer-facing communication, independent remote work, and coordination across UK and US teams.

Deploys and manages cloud, virtualized, physical network, and cybersecurity infrastructure, including IDS/IPS, firewalls, SIEM, SOAR, and EDR. Automates provisioning, patching, and reporting with PowerShell, Ansible, Terraform, and REST APIs. Monitors and tunes HCI clusters, conducts disaster-recovery drills, applies STIGs, investigates incidents, maintains runbooks, and mentors junior staff. Requires Windows and Linux administration, networking, infrastructure-as-code, backup and recovery, capacity planning, and troubleshooting expertise in a cleared DoD environment.