Senior Site Reliability Engineer

Mimecast•Columbus, OH

13h•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 company emphasizes continuous deployment, empowering builders to own their work, and process standardization. Mimecast is an AI-First engineering organization, actively leveraging AI-powered development tools and developing AI-powered security products. The Senior Site Reliability Engineer will be a hands-on role responsible for standing up and debugging infrastructure, turning these activities into repeatable, self-service patterns for engineering teams. The role involves a mix of greenfield infrastructure build-outs, pipeline and tooling improvements, and incident investigation, working in a small, focused team in close partnership with product engineering squads.

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.
You collaborate well across teams — you can work with product engineers, platform teams, and security peers without friction.
You have a bias for action and problem-solving, and you prefer shipping small, frequent improvements over big-bang changes.
You are comfortable saying “let’s standardize this” rather than building a one-off, even when the one-off would be faster today.
You communicate clearly in writing — our teams are distributed, and async clarity matters.

Nice To Haves

PostgreSQL experience

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.