Senior DevOps and Reliability Engineer

Vizient•Irving, TX

About The Position

The Senior DevOps and Reliability Engineer partners with Software Engineering, Cloud Operations, Architecture, Security, and Product teams to build, support, and operate secure, reliable, and scalable cloud products across a diverse portfolio of applications and services. The role is highly hands-on and provides technical leadership across multiple teams, with responsibilities spanning cloud operations, infrastructure automation, observability, reliability engineering, and operational excellence. This position combines software engineering, DevOps, Site Reliability Engineering (SRE), and cloud platform support to help engineering teams deliver and operate high-quality solutions in Azure and AWS environments. The successful candidate will troubleshoot production issues, build Infrastructure as Code solutions, automate operational processes, implement observability platforms, and partner with development teams to improve reliability, security, and engineering efficiency. The role also applies AI-assisted practices throughout the software lifecycle and mentors engineers on cloud and operational practices.

Requirements

Seven or more years of software engineering, platform engineering, DevOps, cloud engineering, or Site Reliability Engineering experience.
Strong experience designing, implementing, and supporting Azure/AWS cloud solutions in enterprise environments.
Experience with Infrastructure as Code technologies such as Pulumi, Terraform, CloudFormation, or similar platforms.
Experience building and supporting CI/CD pipelines and deployment automation processes.
Strong understanding of cloud networking, IAM, security controls, secrets management, and infrastructure governance practices.
Experience implementing and supporting observability platforms, including monitoring, logging, dashboarding, runbooks, and alerting solutions.
Experience with Dynatrace or comparable enterprise application performance monitoring and observability platforms.
Experience troubleshooting production systems and participating in incident management and operational support processes.
Experience developing automation using scripting or programming languages such as TypeScript, Python, PowerShell, Bash, or similar technologies.
Experience with Azure DevOps, GitHub Actions, Harness, JFrog, or similar delivery and artifact-management tools.
Experience working within Agile software development environments and supporting multiple engineering teams simultaneously.
Strong communication, collaboration, and stakeholder management skills, with the ability to work across engineering, operations, security, and business teams.
Experience with cloud-cost management, resource sizing, capacity planning, autoscaling, workload optimization, and FinOps.
Experience implementing AI-native software development or AI-enabled engineering operating models.

Nice To Haves

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field is preferred.
Familiarity with containerization technologies, Kubernetes, serverless architectures, API-driven systems, and cloud-native application patterns.
Knowledge of SRE principles, operational excellence frameworks, and service ownership practices.
Azure/AWS certifications, DevOps certifications, or equivalent industry certifications.

Responsibilities

Serve as a shared engineering resource supporting multiple software development teams across the organization.
Partner with Engineering, Cloud Operations, Security, and Architecture teams to establish and maintain cloud infrastructure standards, operational practices, and platform capabilities.
Design, implement, and maintain cloud infrastructure using Infrastructure as Code technologies, including Pulumi.
Build and maintain reusable infrastructure templates, deployment patterns, automation frameworks, and platform services that improve developer productivity and operational consistency.
Support AWS cloud environments, including networking, security, identity and access management (IAM), monitoring, and operational governance.
Provide operational support and troubleshooting for cloud environments, deployment pipelines, infrastructure components, and production services.
Serve as an escalation point for complex infrastructure, deployment, and operational issues requiring elevated cloud permissions and platform expertise.
Design, implement, and maintain CI/CD pipelines and deployment automation processes.
Configure and support observability solutions, including application performance monitoring, centralized logging, dashboards, alerting, and operational reporting.
Implement and maintain Dynatrace monitoring, dashboards, alerting configurations, and operational visibility standards across applications and services.
Participate in incident response, root cause analysis, post-incident reviews, and reliability improvement initiatives.
Develop and maintain operational runbooks, support documentation, platform standards, and engineering best practices.
Identify and remediate technical debt, infrastructure risks, operational gaps, and recurring reliability issues.
Collaborate with Security teams on vulnerability remediation, compliance initiatives, access governance, and secure cloud operations.
Assist engineering teams with production readiness reviews, deployment planning, infrastructure design, and operational maturity initiatives.
Promote SRE practices, operational excellence, automation, and continuous improvement across engineering teams.
Evaluate emerging cloud, automation, AI-enabled, and operational technologies to improve platform reliability, engineering efficiency, and service quality.
Mentor software engineers on cloud technologies, observability, infrastructure automation, operational best practices, and deployment strategies.
Apply AI-assisted practices across design, development, testing, code review, deployment, monitoring, incident response, remediation, and continuous improvement.