Designs, deploys, and maintains Azure cloud infrastructure, infrastructure-as-code, CI/CD pipelines, monitoring, observability, and production systems. Responsibilities include improving reliability, scalability, security, performance, and cost efficiency; troubleshooting complex incidents; supporting migrations and modernization; developing automation; and collaborating with development, QA, security, and business teams on software delivery and operational readiness.
This is a remote position.
Paradigm is seeking an experienced Senior DevOps Engineer to design, build, and maintain the cloud infrastructure, automation, and deployment systems supporting high-volume, mission-critical enterprise applications.
This hands-on engineering role focuses on improving system reliability, scalability, security, and performance through cloud infrastructure management, CI/CD automation, infrastructure-as-code, and advanced monitoring and observability.
The ideal candidate brings strong technical expertise, excellent troubleshooting skills, and a proactive approach to solving complex engineering challenges. Working closely with software development, QA, security, and business teams, this individual will help streamline software delivery, modernize infrastructure, and improve production operations.
Type: Contract
Duration: 12-month*
Pay Rate: $60.87- $66.67/hour
Benefits: Medical, dental, vision, life, 401(k), PTO, and sick leave
Location: Remote – approved U.S. locations
Job No.: Para_1507
* Assignment lengths are estimated based on the expected workload and scope of work. The assignment may be extended or conclude earlier than anticipated based on business needs.
Approved Hiring Locations: Alabama, Arizona, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois, Indiana, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Jersey, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington DC, and Wisconsin.
Responsibilities
Cloud Infrastructure & Automation
- Design, deploy, maintain, and optimize cloud infrastructure, primarily within Microsoft Azure.
- Develop and maintain infrastructure-as-code (IaC), configuration management, and automation solutions.
- Build reusable tools and frameworks to streamline operations, reduce manual processes, and improve engineering productivity.
- Improve the reliability, scalability, performance, security, and cost efficiency of production environments.
CI/CD & Software Delivery
- Design, implement, and maintain secure, scalable CI/CD pipelines and automated deployment processes.
- Collaborate with development and QA teams to improve release efficiency, deployment reliability, and application performance.
- Establish and maintain deployment standards, operational readiness requirements, and release management practices.
- Participate in Agile Scrum development activities, including technical planning, implementation, testing, and deployment.
Monitoring, Observability & Production Support
- Implement and enhance monitoring and observability solutions, including centralized logging, metrics, alerting, dashboards, and distributed tracing.
- Establish and maintain service-level indicators (SLIs) and service-level objectives (SLOs).
- Troubleshoot complex production issues, conduct root-cause analysis, and implement lasting corrective solutions.
- Identify and proactively address infrastructure, application performance, and operational risks.
- Support incident response and continuous improvement of production systems.
Migration & Modernization
- Lead or contribute to cloud, application, database, and infrastructure migration initiatives.
- Develop migration plans, automation scripts, validation procedures, rollback strategies, and post-migration monitoring.
- Collaborate with engineering teams to modernize infrastructure and improve system architecture.
Requirements
Mandatory:
- 5+ years of professional experience in DevOps, Site Reliability Engineering (SRE), platform engineering, cloud engineering, or a closely related discipline.
- 3+ years of experience designing, implementing, and maintaining CI/CD pipelines and automated deployment processes.
- 3+ years of hands-on experience deploying, operating, and troubleshooting applications in cloud environments, preferably Microsoft Azure.
- Experience with infrastructure-as-code and configuration management tools such as Terraform, Azure Bicep, ARM templates, or Ansible.
- Experience implementing monitoring and observability solutions, including logging, metrics, alerting, dashboards, and distributed tracing.
- Proficiency in scripting and automation using one or more languages such as Python, PowerShell, Bash, JavaScript, TypeScript, or Node.js.
- Experience supporting cloud, application, infrastructure, or database migrations.
- Working knowledge of SQL databases and database deployment or migration processes.
- Experience supporting high-volume, highly available, multi-tier enterprise applications.
- Understanding of cloud security principles, identity and access management, secrets management, and vulnerability remediation.
- Experience using AI-assisted engineering tools for troubleshooting, automation, development, or documentation.
Preferred Qualifications
- Advanced experience with Microsoft Azure infrastructure, cloud services, and deployment automation.
- Experience with containerization and orchestration technologies, including Docker, Kubernetes, or Azure Kubernetes Service (AKS).
- Experience designing enterprise-scale CI/CD pipelines, deployment strategies, and release management processes.
- Advanced knowledge of observability platforms, distributed tracing, alert optimization, and service reliability practices.
- Experience leading complex cloud migrations, infrastructure modernization, or platform transformation initiatives.
- Experience developing reusable infrastructure modules, automation frameworks, or engineering standards.
- Familiarity with NoSQL databases, messaging platforms, or event-driven architectures.
- Experience using AI agents or AI-enabled automation to streamline engineering workflows.
- Advanced technical education, professional certifications, or equivalent specialized training.
Benefits
Paradigm offers medical, dental, vision, life, 401K, PTO, and sick days.
About Us, Paradigm
Paradigm Information Services is an established staffing company that has been connecting talented people with great opportunities for more than 25 years. We work with clients across a variety of industries and positions, giving our recruiting team the opportunity to work on interesting and sometimes challenging searches.
Paradigm Information Services does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Similar Jobs
Artificial Intelligence • Machine Learning • Software • Defense
Owns build and deployment automation, platform health, scaling, monitoring, and high-availability DevOps pipelines. The role involves developing self-service tools, expanding a multi-account AWS environment, improving SRE practices, and securing systems for commercial and high-side environments. Requires strong AWS, CI/CD, infrastructure-as-code, containerization, scripting, and monitoring expertise, plus U.S. citizenship and TS/SCI with full-scope polygraph clearance. Travel to a Washington, DC customer site may reach 50%.
Top Skills:
AWSAws GovcloudBashDatadogDockerElasticsearchGithub ActionsOpensearchPlg StackPulumiPythonSQLTerraformVpns
Professional Services • Business Intelligence • Consulting • Manufacturing
Build and maintain CI/CD pipelines, infrastructure automation, containerized workloads, and cloud/on-premises systems. Administer Windows Server, Active Directory, Group Policy, IIS, VMware, Linux patching, and SSL/TLS certificates. Monitor and troubleshoot infrastructure, support deployments, manage security hardening and vulnerabilities, maintain documentation and runbooks, and assist with compliance requirements across AWS, Azure, or GCP environments.
Top Skills:
AcmeActive DirectoryAdcsAnsibleAWSAzureAzure DevopsAzure Vmware SolutionBashCis BenchmarksDatadogDhcpDnsDockerElkEsxiFedrampFirewallsGCPGithub ActionsGitlab CiGoGrafanaGroup PolicyHashicorp VaultHelmHipaaHttp/SIisJenkinsKubernetesLinuxLoad BalancersPciPowershellPowershell DscPrometheusPythonSccm/MecmSoc 2SplunkSsl/TlsStigsSystem CenterTcp/IpTerraformVcenterVmotionVmware HcxVmware Nsx-TVmware VsphereWindows Admin CenterWindows ServerWsus
Information Technology • Consulting
Leads the design, deployment, security, and operation of multi-account AWS infrastructure. Builds Terraform-based platforms, CI/CD pipelines, observability, disaster recovery, and secure networking solutions while supporting migrations and modernization. Establishes infrastructure standards, operational readiness practices, and engineering processes; mentors engineers and drives technical initiatives independently. Troubleshoots complex production, networking, security, and reliability issues across customer environments.
Top Skills:
AlbAmazon GuarddutyAmazon InspectorArgo CdAtlantisAuroraAWSAws CloudtrailAws ConfigAws Control TowerAws OrganizationsAws Security HubBashCassandraCloudwatchDatadogDockerEcsEksGithub ActionsGrafanaJenkinsKubernetesLinuxMySQLNlbPostgresPrivatelinkPrometheusPythonRoute 53ScalrTerraformTerraform CloudTerraform EnterpriseTransit GatewayVpc
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
