Job Description
Supports a hybrid media engineering environment with a focus on cloud infrastructure, automation, and application reliability across AWS and on-prem systems
Works within an SRE/DevOps model to maintain, migrate, and modernize infrastructure at scale
Migrate existing custom Terraform implementations into Terraform Enterprise, establishing standardized, scalable infrastructure practices
Build, maintain, and optimize infrastructure-as-code using Terraform, CloudFormation, and Ansible
Support and operate cloud and hybrid infrastructure environments spanning 400–500 servers, including Linux-based systems
Partner with application support teams to troubleshoot production issues, with a strong focus on networking (TCP/UDP, latency, connectivity) and system performance
Provide L1-level storage and infrastructure troubleshooting, including I/O and system bottlenecks
Implement and manage CI/CD pipelines for infrastructure deployments (Terraform pipelines)
Develop automation and tooling in Python to improve system reliability and operational efficiency
Integrate observability and monitoring solutions (e.g., Datadog), leveraging telemetry and AI-driven insights
Deploy and support automation agents for self-healing and operational workflows
Support data pipelines that feed operational and system data into centralized AI/analytics platforms
Contribute to ongoing cloud strategy across AWS (primary) and Azure (secondary)
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
5–8 years of experience in cloud engineering, infrastructure, or DevOps environments
Strong experience with Terraform (including enterprise-scale implementations) and CloudFormation
Hands-on experience with AWS and hybrid/on-prem environments; exposure to Azure is a plus
Solid understanding of networking concepts including TCP/UDP protocols, routing, and troubleshooting
Experience supporting Linux-based systems in production environments
Familiarity with configuration management tools such as Ansible
Experience with monitoring/observability platforms (e.g., Datadog)
Proficiency in Python for scripting and automation
Experience working in SRE or DevOps operating models
Nice to Have Skills & Experience
Exposure to AI-driven operations, automation agents, or AIOps tooling
Experience supporting large-scale, high-availability environments
Background in media, streaming, or high-throughput application environments
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.