Senior SRE

Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan acquires and grows companies worldwide, honoring founder legacies and helping portfolio companies modernize through shared AI expertise and operational discipline. Founded in 2016, Banyan operates more than 120 portfolio companies across North and South America, Europe, and APAC, and has appeared on the Inc. 5000 list for six consecutive years. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world.

Job Title: Senior SRE (Site Reliability Engineer) – Modernized Application Operations

Remote: US/Canada

Overview

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.

Key Responsibilities

24x7 Operations & On-Call: 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.

Tier 1 SRE & Operations: 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.

Performance & Availability Monitoring/Observability: 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.

Disaster Recovery and Service Restoration: 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.

Security Incident Response: Respond to security incidents and operational events affecting OpCo SaaS platforms, executing established runbooks, coordinating remediation

Automation & Infrastructure-as-Code : 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.

AI Agents & DevSecOps Scale: 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.

Hands-on Problem Solving: 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.

Required Qualifications & Experience

Experience: 5–7 years of progressive experience in Software Engineering, and/or Site Reliability Engineering, with a focus on operating distributed systems.

Automation Coding Experience: 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.

Containerization: Deep expertise in container technologies (Docker/Kubernetes) supporting highly scalable and resilient distributed systems.

Infrastructure-as-Code with Terraform: Have experience working with modules at scale. This is a requirement for the role.

Cloud Native Services: 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).

CI/CD & Automation: Deep history of hands-on work with CI/CD platforms (GitHub Actions, GitLab CI) and embedding DevSecOps practices directly into operational workflows.

Operations, Monitoring & Observability: Experience with application level logging, troubleshooting, and tracing tools, with a proven track record operating highly available production systems.

AI-Fluent Engineering: Experience with AI-assisted engineering tools such as Claude Code or similar

Application Performance Management (APM): Familiarity with APM tooling and practices (e.g., Datadog, New Relic, Dynatrace, or similar) to instrument, profile, and optimize application performance in production.

Incident & Security Response: Demonstrated experience participating in on-call rotations, responding to production and security incidents, and executing disaster recovery procedures.

Communication & Collaboration: Exceptional communication, presentation, and collaboration skills, with a proven ability to coordinate across teams.

Education: Bachelor’s degree in Computer Science or a related technical field.

Preferred Skills (A Plus)

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

The expected base salary for this position is approximately USD $145,000 - $170,000 for US-based candidates and CAD $120,000 - $145,000 for Canada-based candidates, excluding annual bonus and equity (when applicable). Salary is based on a number of factors, including market conditions, location, job-related skills and experience, and may vary accordingly.

Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.

Please Note : Banyan Software does not accept unsolicited resumes or applications submitted via email, LinkedIn, or other direct channels. All candidates must apply through our official Careers site to be considered for employment. Applications submitted outside of our applicant tracking system will not be reviewed.

Recruitment Notice

Banyan Software may use artificial intelligence (AI) tools to assist in screening and/or assessing applicants during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request accommodation.

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