Senior Site Reliability Engineer

Mimecast•Columbus, OH

2d•Hybrid

About The Position

Mimecast is seeking a Senior Site Reliability Engineer to join their Site Reliability Engineering function within the Governance Compliance and Insights (GCI) pillar. This team is central to how Mimecast builds, ships, and operates its cloud platform, focusing on cloud infrastructure, CI/CD, and observability. The team believes in continuous deployment, empowering builders to own their work, and prioritizing process and standardization. Mimecast is an AI-First engineering organization, actively leveraging AI-powered development tools and seeking leaders who champion their adoption. The role involves hands-on engineering to provision and debug infrastructure, turning these activities into repeatable, self-service patterns for engineering teams. The ideal candidate will have strong skills in provisioning infrastructure, debugging complex distributed systems, and CI/CD expertise, with observability knowledge being beneficial. The role involves rotating between greenfield infrastructure build-outs, pipeline and tooling improvements, and incident investigations.

Requirements

Hands-on Kubernetes experience — you can deploy, operate, and debug workloads on Kubernetes. You do not need to be an expert, but you should be comfortable in it.
Terraform experience — you have written and maintained non-trivial Terraform. Again, expertise is not required; pragmatic competence is.
Familiarity with setting up CI and deployment automation. Experience with GitHub Actions is strongly preferred; experience with Jenkins, GitLab CI, or similar is transferable.
A working understanding of observability fundamentals — logs, metrics, and traces — and how they are used during incident response.
Networking knowledge at a practical level: security groups, TLS certificates, DNS, load balancing, and how traffic actually flows through a cloud environment.
Experience working with relational databases is helpful — PostgreSQL is ideal but not required.
Experience with AWS or similar cloud platforms.

Nice To Haves

Experience with PostgreSQL

Responsibilities

Stand up and evolve AWS infrastructure using Terraform, with a strong bias toward reusable modules and paved-road patterns over bespoke solutions.
Operate and improve Kubernetes-based workloads — deployments, scaling, networking, and the platform glue that makes them boring to run.
Build and maintain CI/CD pipelines (GitHub Actions preferred) that give engineering teams fast, safe, auditable paths to production.
Partner with product squads to enable self-service access to their own infrastructure, databases, and pipelines — with the guardrails, auditability, and standards that make that access safe.
Debug production issues across the stack: networking, DNS, certificates, container orchestration, CI pipelines, and application-level behaviour.
Instrument services with appropriate logs, metrics, and traces, and help teams adopt the observability standards our platform teams define.
Contribute to runbooks, automation, and standards that reduce toil and one-off work — if you fix it twice, codify it the third time.
Use AI tooling pragmatically and at a professional level: to accelerate code generation, infrastructure design, debugging, documentation, and review. We expect engineers to be AI-first in how they approach their craft.