DevOps Engineer II - Applications

Expand Energy•Oklahoma City, OK

About The Position

The position is a technical role responsible for ensuring the reliability, scalability, and operational excellence of enterprise platforms and applications. This role partners closely with developers, data engineers, Salesforce administrators, and platform owners to design resilient systems, improve deployment practices, and automate operations across cloud, integration, and low-code environments. This position will contribute to DevOps and cloud engineering practices by supporting automation efforts, enhancing system observability, and assisting with incident response and continuous improvement initiatives. This role combines hands-on technical skills with a focus on system performance, reliability, and operational efficiency across a diverse enterprise platform landscape.

Requirements

Strong experience with cloud platforms, primarily Microsoft Azure, with working knowledge of AWS
Experience deploying and supporting infrastructure using infrastructure-as-code tools (e.g., Terraform, ARM, Bicep)
Experience supporting and administering enterprise SaaS and PaaS platforms, including configuration, environment management, and operational support
Strong foundational knowledge of operating systems (Linux and Windows Server)
Understanding of distributed systems, microservices architectures, and resiliency patterns
Working knowledge of identity and access management concepts, including integration with identity providers (e.g., Azure AD/Entra ID), single sign-on (SSO), and role-based access controls
Familiarity with modern authentication and authorization patterns, including OAuth 2.0, OpenID Connect (OIDC), and token-based access for APIs and services
Familiarity with networking and security concepts for cloud and SaaS platforms, including VNET/VPC configuration, private connectivity, and secure service access
Experience managing secrets and secure configuration using tools such as Azure Key Vault or similar vault technologies
Experience building and supporting CI/CD pipelines using tools such as Azure DevOps, GitHub, or similar platforms
Expertise in DevOps practices, including deployment automation, environment management, and release strategies
Proficiency in scripting and automation (e.g., Python, PowerShell, Bash)
Experience with monitoring and observability tools such as Splunk, Azure Monitor, or similar platforms for log aggregation, alerting, and operational insights
Understanding of incident management, problem management, and reliability practices (ITIL-based or similar)
Familiarity with performance tuning, system optimization, and capacity planning concepts
Understanding of AI-driven operations (AIOps), intelligent alerting, and automation in support of system reliability
Exposure to enterprise platforms such as Salesforce, MuleSoft, Informatica, or similar systems, with the ability to support environments and troubleshoot operational issues
Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Claude Code) and emerging AI platforms such as Microsoft Foundry, including supporting environment setup, access, and operational considerations
Minimum: 2 years related work experience
Minimum: High school diploma or GED

Nice To Haves

Bachelor’s degree - from accredited university - IT, MIS, Computer Science or related field

Responsibilities

Partner with application, data, Salesforce, and platform engineering teams to design and support reliable, scalable, and secure systems
Maintain deep expertise on supported platforms and services, including Salesforce, MuleSoft, Azure, M365, Informatica, and Automic, to proactively identify reliability risks and improvement opportunities
Design and implement infrastructure and platform automation using infrastructure-as-code and configuration management practices
Build, maintain, and optimize CI/CD pipelines across cloud and SaaS platforms
Apply and promote DevOps and SRE best practices, including automation standards, deployment strategies, and cloud architecture patterns
Participate in incident response efforts, including troubleshooting, root cause analysis, and post-incident reviews to drive systemic improvements
Develop and maintain modern observability solutions using tools such as Splunk for log aggregation, correlation, and alerting across distributed and integrated systems
Assist with the setup, administration, and operational support of AI development platforms and tools (e.g., Microsoft Foundry, GitHub Copilot, Claude Code), including environment provisioning, CI/CD enablement, and support for AI-assisted and low-code development workflows
Identify and eliminate manual operational processes through scripting, automation, and platform engineering solutions
Collaborate with engineering teams to improve application performance, fault tolerance, and resiliency across integration middleware (MuleSoft) and data pipeline (Informatica) layers
Contribute to capacity planning, cost optimization, and system scalability initiatives
Evaluate and recommend tools, technologies, and approaches to improve platform reliability and developer productivity
Document architecture, operational processes, and reliability standards