Senior SRE

Banyan Software

4d•$145,000 - $170,000•Remote

About The Position

We are seeking a highly experienced and hands-on SRE to own the operational excellence of the modernized SaaS applications produced by the Banyan AI Factory. This is not a role focused on building the factory itself; instead, you will run the reliability of the modernized applications the factory delivers to our Operating Companies (OpCos). You will join a team that provides 24x7 coverage with rotating on-call responsibilities, serving as Tier 1 Site Reliability Engineering (SRE) for our OpCos’ distributed applications. Day to day this will include: automated deployments, cloud service integration, application performance and availability monitoring/observability, and security incident response across our two target clouds — Amazon Web Services (AWS) and Microsoft Azure. The ideal candidate has a track record of keeping secure, highly available production systems running at scale.

Requirements

5–7 years of progressive experience in Software Engineering, and/or Site Reliability Engineering, with a focus on operating distributed systems.
Deep expertise in Python, Javascript, or Go. Building automation and integrations between tools. This may be with AI assistance, but you must have a deep understanding of the code and scripting principals such as: authentication, parallelization, triggering, APIs, data transformation, etc.
Deep expertise in container technologies (Docker/Kubernetes) supporting highly scalable and resilient distributed systems.
Have experience working with modules at scale. This is a requirement for the role.
Hands-on experience operating production workloads on Amazon Web Services (AWS) (e.g., EC2, Lambda, EKS, S3, RDS) and / or Microsoft Azure (e.g., Container Apps, AKS, Container Storage).
Deep history of hands-on work with CI/CD platforms (GitHub Actions, GitLab CI) and embedding DevSecOps practices directly into operational workflows.
Experience with application level logging, troubleshooting, and tracing tools, with a proven track record operating highly available production systems.
Experience with AI-assisted engineering tools such as Claude Code or similar
Familiarity with APM tooling and practices (e.g., Datadog, New Relic, Dynatrace, or similar) to instrument, profile, and optimize application performance in production.
Demonstrated experience participating in on-call rotations, responding to production and security incidents, and executing disaster recovery procedures.
Exceptional communication, presentation, and collaboration skills, with a proven ability to coordinate across teams.
Bachelor’s degree in Computer Science or a related technical field.

Nice To Haves

Familiarity with advanced cloud security tools like Wiz, Prisma Cloud, and Checkov.

Responsibilities

Operate as part of a team providing round-the-clock coverage of OpCo containerized applications, participating in a rotating on-call schedule to ensure continuous availability and rapid response.
Serve as Tier 1 SRE for the modernized applications, managing day-to-day cloud integrations across our two target clouds — AWS and Azure — to keep production systems healthy, performant, and secure.
Implement and maintain robust application observability tooling (monitoring, logging, tracing) to track performance and availability, proactively detect degradation, and drive down mean-time-to-detect and mean-time-to-resolve.
Develop, maintain, test, and execute disaster recovery and business continuity procedures. Ensure the timely recovery and restoration of services following geographic disruptions, cyber incidents, infrastructure failures, or other disaster events.
Respond to security incidents and operational events affecting OpCo SaaS platforms, executing established runbooks, coordinating remediation.
Use Infrastructure-as-Code (Terraform) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI) to manage, deploy, and automate the operational environments of modernized applications, reducing toil and improving consistency.
Build scale in our DevSecOps practice by designing, building, and operating AI agents that automate SRE tasks and incident response, reducing toil and accelerating detection, triage, and remediation.
Serve as a technical escalation point for operational challenges, applying strong analytical skills to resolve infrastructure, network, and automation issues across distributed, multi-tenant SaaS environments while navigating technical ambiguity.