Top Cloud Engineer Jobs

Lead the design, implementation, scaling, and automation of secure AWS and Azure cloud environments for mission-critical intelligence workloads. Build landing zones and shared services using Terraform, OpenTofu, Ansible, and CI/CD pipelines. Implement access controls, logging, auditing, backups, security-as-code, and compliance with DoD STIG/RMF requirements. Collaborate with cyber, networking, and application teams while mentoring engineers and advancing DevSecOps practices.

Provides second-line technical support for SaaS and private-cloud environments, diagnosing complex AWS, Kubernetes, API, search, and agentic-system issues. Partners with Engineering, Product, and customer-facing teams to resolve cases, lead technical account reviews, identify risks, improve processes, and create runbooks and documentation. Builds reusable AI workflows, prompt libraries, and MCP-connected investigation tools while mentoring junior engineers and supporting strategic customers.

Leads SRE engineering leaders and engineers while defining enterprise observability, reliability, and platform strategy across GCP, on-premise, manufacturing, distribution, and campus environments. Oversees vendor-agnostic tooling, OpenTelemetry integrations, CI/CD observability, SRE maturity models, and Agentic AI initiatives. Drives adoption of SRE practices, develops technical roadmaps, partners with senior leadership and operational teams, and maintains hands-on architectural and technical credibility.

Develops, integrates, tests, validates, sustains, and troubleshoots cloud software applications. Performs requirements analysis and object-oriented system design, develops RESTful services, and works with distributed big-data technologies including Hadoop, HDFS, NoSQL platforms, and MapReduce. Requires substantial Java, C, or C++ programming experience, Windows or Linux development experience, a relevant degree or equivalent experience, Hadoop/cloud certification, and TS/SCI clearance with polygraph.

Develop and maintain NCR Voyix's cloud platform services and APIs for high-performance, scalable, resilient systems. Write clean, well-tested code, implement RESTful APIs, work with databases, and apply distributed design patterns and automated testing within agile scrum teams.

Own and operate a global AI inferencing platform: ensure uptime, low-latency performance, scalability and cost efficiency. Build monitoring, alerting, CI/CD, IaC, autoscaling, capacity planning, incident response, and participate in a shared on-call rotation to maintain 24/7 service reliability.

Build and maintain cloud infrastructure, automation, configuration management, and CI/CD pipelines. Operate Kubernetes, Helm, and Docker workloads across multiple public clouds; configure observability tooling; troubleshoot production systems spanning networking, databases, serverless functions, and caching; and participate in a 24/7 on-call rotation. The role also involves owning infrastructure projects end to end and collaborating across engineering and product teams.

Engineers and administers cloud, identity, privileged access, authentication, endpoint, and Microsoft 365 security controls. The role analyzes complex security issues, implements remediation, supports audits, documents standards, leads technical initiatives, and mentors junior engineers while partnering with Security, Infrastructure, application, and Audit teams.

Implements and maintains GCP cloud infrastructure, builds automation, troubleshoots infrastructure and observability issues, supports incident response, and improves scalability, security, availability, monitoring, and compliance. Collaborates across technology and business teams on workflow automation and participates in on-call rotations, outage response, documentation, metrics, and sprint processes.

Develops and enhances complex big-data cloud systems for an intelligence team. Responsibilities include back-end processing, analysis, indexing, Java application development, distributed computing, information retrieval, object-oriented design, software testing, troubleshooting, requirements analysis, system design, and technical documentation. The role also provides technical guidance to junior staff and integrates or extends FOSS and COTS products.

Assess, design and improve AWS/Azure cloud environments for security, cost, networking, storage, serverless and containerized deployments. Provide L2+ incident support, create SOPs, mentor junior staff, support Linux/Windows servers, document architecture, participate in governance/change processes, and join a 24/7 on-call rotation.

Design, build, automate, and operate enterprise-scale Azure infrastructure using IaC (Terraform), automation, and secure networking. Lead cloud migrations, AKS/container platforms, CI/CD pipelines, observability, cost governance, and enforce policy-driven security and compliance across environments.

Develop and maintain a global AI cloud infrastructure, focusing on high-performance backend services, IaaS software, and robust observability solutions.

As a Senior Backend Engineer, you will develop foundational backend services, enhance existing systems, and ensure scalability and robustness in a generative AI cloud platform.

Design, develop, integrate, test, deploy, and sustain secure cloud-native applications and services for DoD/IC missions. Lead requirements analysis, architecture, troubleshooting, and system validation. Provide technical leadership and mentorship, participate in Agile ceremonies, and support CI/CD, DevSecOps, and infrastructure-as-code to ensure scalable, resilient, and secure cloud solutions.

Design, develop, deploy, and maintain cloud-native applications and scalable data pipelines using Java (Spring Boot) and/or Python on AWS. Build and operate containerized microservices with Kubernetes, implement IaC (Terraform/CloudFormation), create CI/CD pipelines, and use monitoring/observability tools. Collaborate in Agile teams, participate in design and code reviews, and support secure, high-availability mission systems for DoD/IC programs.

Design, develop, deploy, and sustain secure, scalable cloud-native applications and infrastructure for DoD/IC programs. Architect cloud platforms, implement IaC and CI/CD pipelines, automate monitoring/remediation, perform cost analyses, support DevSecOps, and troubleshoot complex cloud issues to ensure high availability, security, and performance.

Design, develop, integrate, test, deploy, and sustain cloud-native, containerized microservices for large-scale enterprise compute environments. Implement IaC (Ansible/Puppet), CI/CD pipelines, troubleshoot system issues, produce technical documentation and SOPs, mentor junior engineers, and provide Tier III on-call support for DoD/IC missions.

Design, develop, integrate, test, deploy, and sustain secure, scalable cloud-native applications for DoD/IC missions. Participate in full SDLC, support installation and operational deployment, troubleshoot and resolve issues, enhance performance and security, produce technical documentation, and collaborate in Agile teams with DevSecOps and cloud architects.

Support 24x7 watch floor operations by monitoring application health, troubleshooting operational issues, administering Linux systems, and supporting AWS/cloud environments. Maintain dashboards, logs, alerts, and dataflows, collaborate with engineering teams, and contribute to automation and continuous monitoring to ensure reliable mission-critical services.

Operate and monitor cloud and Linux-based applications supporting 24x7 mission operations. Perform watch-floor monitoring, log and alert triage, troubleshooting, AWS and Linux administration, support data pipelines, and collaborate with engineering teams to improve automation, continuous monitoring, and operational reliability.

The Lead DevOps Engineer will drive cloud product strategies, enhance ML capabilities, ensure best practices in infrastructure deployments, and mentor teams.

Design, deploy, and operate hybrid Microsoft Azure infrastructure for a classified program. Architect landing zones, governance, IaC (Terraform/Ansible), migrations, security hardening (STIGs/CIS/RMF), monitoring, DR, cost optimization, and documentation while mentoring junior engineers and supporting ATO activities.

The Cloud Migration Engineer will design and execute infrastructure migrations to GCP, manage client communications, and ensure zero data loss while leveraging Terraform for repeatable processes.

Lead performance and scalability engineering for Kubernetes-based accelerated AI runtimes. Analyze end-to-end stack from orchestration to hardware, design upstream Kubernetes changes, improve container startup and encrypted inference performance, build large-scale simulations and automated workload tests, and engage upstream communities and customers to validate and ship scalable AI infrastructure.