Top Cloud Engineer Jobs in Austin, TX

Design, configure, and maintain cloud infrastructure across Azure and AWS. Own IaC (Terraform, Ansible, PowerShell) and CI/CD pipelines, integrate source control and automated testing/security, implement governance and hybrid cloud solutions, deploy generative AI services, monitor performance, support disaster recovery, and collaborate with cross-functional teams to ensure secure, scalable, and compliant cloud platforms.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Lead design and hands-on development of AWS-based serverless backend and IoT cloud services. Build Python Lambda microservices, REST APIs, telemetry pipelines, and secure AWS IoT Core device communication. Mentor engineers, define architecture patterns, ensure production readiness (monitoring, CI/CD, security), and guide cross-functional integrations and technical roadmaps.

Build and maintain full-stack web applications, APIs, backend services, integrations, and event-driven data pipelines. Collaborate on architecture, product requirements, code reviews, testing, troubleshooting, and engineering standards. Contribute to scalable, secure, reliable software while mentoring engineers and supporting development-process improvements.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware upgrades, repair workflows, cluster lifecycle management, BMC and Redfish tooling, and NVIDIA NVL72 and BlueField DPU operations. Diagnose failures across hardware, Linux, networking, and Kubernetes; support incident response, on-call operations, observability, root-cause analysis, and permanent remediation across cloud and on-premises environments.

Design, secure, and scale GCP cloud infrastructure supporting event-driven services, AI models, and automated releases. Maintain infrastructure as code and CI/CD automation, manage access controls and encryption, remediate penetration-test and vulnerability findings, and own monitoring, dashboards, on-call response, incident management, and performance improvements.

Performs customer-facing and internal software upgrades, patches, deployments, rollback support, validation, troubleshooting, and cloud migrations. The role also maintains documentation, supports CI/CD tooling and automation, coordinates upgrade schedules, applies security patches, and collaborates with cross-functional teams. This entry-level position develops cloud release engineering skills through mentorship and hands-on work.

Analyze cloud and Kubernetes usage to identify cost inefficiencies, anomalies, and optimization opportunities. Build scripts, API integrations, dashboards, forecasts, and repeatable workflows to improve cloud-cost visibility and efficiency. Partner with engineering, product, finance, architecture, and leadership teams to implement recommendations, support commitment planning, and expand FinOps practices through tools, standards, documentation, and education.

Resolve complex technical issues involving Akamai products, distributed networks, and origin infrastructure. Analyze network data, support customer teams before and after sales, develop service best practices and knowledge articles, and serve as a subject matter expert. Collaborate with engineering and product management on service supportability, customer feedback, requirements, and product enhancements.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.

Lead the migration and maintenance of complex data flows into AWS cloud environments. Develop infrastructure as code and cloud service logic using Python, Ansible, CloudFormation or CDK, while supporting CI/CD pipelines, file transfer and messaging services, monitoring, troubleshooting, performance tuning, and documentation. Coordinate integration requirements with stakeholders and maintain secure, compliant federal cloud solutions.

Owns Site Reliability Engineering for a customer-facing SaaS platform across Azure and Azure Government. Responsibilities include monitoring and observability, incident response, root cause analysis, reliability improvements, automation, infrastructure as code, CI/CD, performance optimization, disaster recovery, and operational security. The engineer will define and track SLIs, SLOs, and error budgets, lead post-incident reviews, reduce operational toil, and collaborate with development teams on scalable, reliable platform operations.

Develop and deploy Salesforce Marketing Cloud solutions: build email templates and web pages (HTML/CSS/JS), write AMPScript/SSJS/WSProxy, manage Automation Studio and Journey Builder, create integrations via REST/SOAP APIs, design data models with SQL and data extensions, document setups, and collaborate across teams while owning technical decisions.

Design, build, and maintain scalable cloud infrastructure using AWS, GCP, or Azure. Implement SRE practices, monitoring, observability, capacity planning, Kubernetes and Helm deployments, CI/CD pipelines, automation, and cloud security controls. Collaborate with cross-functional teams, ensure compliance, and mentor engineers while improving reliability, availability, scalability, and performance.

Designs, deploys, configures, and supports cloud network infrastructure across Azure, OCI, GCP, and AWS. Manages Palo Alto and Cisco firewalls, VPNs, routers, load balancers, subnets, security groups, and network access controls. Performs network monitoring, maintenance, upgrades, capacity planning, troubleshooting, and Level 2/3 support. Uses Terraform for infrastructure automation and supports EKS clusters, cloud security, IAM, STIGs, and vulnerability management. Participates in a required 24/7 on-call rotation.

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.

Operates and supports customer cloud environments across Azure, AWS, GCP, and OCI. Responsibilities include monitoring, incident and request response, provisioning, access management, maintenance, troubleshooting, governance, documentation, customer communication, and ITSM execution. The role also uses scripting, automation, monitoring, and DevOps/SRE practices to improve operational consistency. Participation in after-hours and weekend on-call support is required.

Support enterprise customers and partners integrating applications with Wasabi Cloud. Diagnose, research, reproduce, and report defects; test storage services with third-party applications; validate interoperability using APIs and SDKs; investigate S3 protocol behavior; and collaborate with sales, development, QA, product, and support teams.

Leads the planning, design, and engineering of enterprise cloud infrastructure and platforms. Serves as a subject matter expert, managing complex projects, developing technical solutions, influencing infrastructure practices, and coordinating across departments. Coaches and delegates work to junior professionals while providing direction on strategy, processes, and complex technical issues. Requires broad expertise across software, hardware, data structures, communications technology, and cloud deployment models, with at least eight years of functional experience.

Support onboarding and configuration of a federal customer’s GCP landing zone. Responsibilities include cloud project provisioning, automation scripting, monitoring, patching, platform support, and change and incident ticket resolution. The engineer will apply GCP administration, IAM, security policy, observability, CI/CD, and infrastructure automation expertise, participate in scheduled on-call rotations, and support compliance requirements in FedRAMP environments.

Designs, builds, optimizes, and manages cloud-native infrastructure, including Kubernetes clusters, containers, and cloud resources. Maintains documentation, participates in Agile Scrum processes, and contributes to cybersecurity and architecture reviews. Collaborates with global teams on infrastructure initiatives, scalability, performance optimization, GitOps, DevSecOps automation, backup, and disaster recovery strategies.

Lead the design and implementation of cloud architecture components and deliver low-latency, highly scalable services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through hiring, design reviews, postmortems, code reviews, and mentorship. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes while operating resilient, high-volume Tier-1 cloud systems.

Lead the design and implementation of major cloud architecture components and deliver low-latency, highly scalable services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through design reviews, postmortems, hiring, code reviews, and mentorship. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes while operating high-volume, resilient Tier-1 cloud systems.

Designs, engineers, operates, and optimizes large-scale Microsoft Azure services and enterprise hub-and-spoke network architectures. Manages Azure IaaS and PaaS environments, including VNets, subnets, private endpoints, ExpressRoute, monitoring, alerting, troubleshooting, and performance optimization. Partners with developers, testers, and program managers. Uses data-driven problem solving and root-cause analysis to improve services. Preferred experience includes Packer, AWX, security controls, Azure DevOps, ServiceNow, and healthcare environments.