Senior Infrastructure Engineer - Site Reliability Engineer (SRE)

Location

This role is based in Raleigh, NC (first preference); - Dallas, TX; Durham, NC ; Boston, MA ; Merrimack, MA.

About The Job You're Considering

We are seeking a highly motivated Site Reliability Engineer to help build and operate reliable, scalable, and secure services across our platform. This role is designed for someone who combines strong DevOps practices, modern SRE principles, and software engineering experience to improve system reliability, automate operations, and support high-availability production environments.

The ideal candidate will be passionate about building resilient systems, improving developer productivity, and driving operational excellence through automation, observability, and engineering best practices. This role partners closely with engineering, platform, and product teams to ensure services are built for reliability from the start and remain performant, stable, and supportable at scale

Your Role

• Design, build and operate resilient, scalable systems using DevOps, SRE, and software development best practices.
• Deliver high-availability services through automation, infrastructure as code, and proactive reliability engineering.
• Improve monitoring, logging, alerting, and observability for distributed systems.
• Support CI/CD automation, deployment workflows, and production tooling to reduce operational toil.
• Drive incident response, root cause analysis, and recovery improvements to minimize downtime.
• Partner with engineering teams to embed reliability into the software development lifecycle.
• Automate provisioning, configuration, and self-healing across cloud and on-prem environments.
• Validate resiliency and performance through testing, chaos engineering, and capacity planning.

Your Skills And Experience

• Demonstrated experience developing and designing products around Site Reliability Engineering principles to improve stability and platform availability for containerized workloads and on-premises services using Kubernetes.
• Experience managing and interpreting large datasets using query languages and creating dashboards and reports with Power BI and Grafana.
• Strong background in managing cloud and on-premises infrastructure using Infrastructure as Code tools, including Terraform, and CloudFormation.
• Hands-on experience building, operating, monitoring, logging, and alerting distributed systems at scale using Datadog and Splunk.
• Experience supporting DevOps practices for service delivery and operations using Jenkins, Azure DevOps, Team Foundation Version Control, and CI/CD automation.
• Experience developing software and automation solutions to support application delivery, operations, and repeatable business processes using Python.
• Knowledge of scalability and resiliency practices for applications deployed on AWS and Azure, including Lambda and API Gateway
• Strong development experience in scripting, automation, and integration across Linux and Windows-based environments
• Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (3) years of experience as a Site Reliability Engineer (or closely related occupation) designing and automating container and Cloud-based platform products and infrastructure solutions within a production environment.
• Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems or a closely related field (or foreign education equivalent) and three (1) year of experience as a Site Reliability Engineer (or closely related occupation) designing and automating container and Cloud-based platform products and infrastructure solutions within a production environment.

Why Join Us

This is an opportunity to work at the intersection of software engineering and infrastructure reliability, helping teams deliver resilient digital services that support critical business operations. You will play a key role in improving system uptime, increasing operational efficiency, and enabling engineering teams to build and scale reliable services with confidence.