Senior Site Reliability Engineer

Senior Site Reliability Engineer

About Mimecast

Relentless protection. Resilient world. Mimecast was born in 2003 with a focus on delivering relentless protection. Each day, we take on cyber disruption for our tens of thousands of customers around the globe; always putting them first, and never giving up on tackling their biggest security challenges together. We continuously invest to thoughtfully integrate brand protection, security awareness training, web security, compliance, and other essential capabilities.

Mimecast is here to help protect large and small organizations from malicious activity, human error, and technology failure - and to lead the movement toward building a more resilient world.

The Team

You will join our Site Reliability Engineering function within the Governance Compliance and Insights (GCI) pillar, a team that sits at the centre of how Mimecast builds, ships, and operates its cloud platform. We do three things, and we do them at scale:

* Cloud infrastructure - design, provision, and evolve the AWS foundations our product teams build on.

* CI/CD - build and maintain the pipelines that move code safely and frequently from commit to production.

* Observability - provide the logs, metrics, and traces that make our platform debuggable and trustworthy.

We hold a few beliefs about how that work should be done:

* Continuous deployment. Smaller chunks of work, shipped more frequently, with the safety rails to make that the default - not the exception.

* Builders own what they build. We work relentlessly to enable product teams to safely and auditably access their own infrastructure, databases, and pipelines. Our job is to help teams help themselves, not to become a bottleneck.

* Process and standardization are paramount. We avoid one-offs and special cases at almost any upfront cost, because repeatability compounds.

AI-First Engineering at Mimecast

Mimecast is an AI-First engineering organization. Our teams actively leverage AI-powered development tools across all facets of engineering, from code development to testing, documentation, and operations. We're looking for leaders who don't just use AI tools but champion their adoption and establish new ways of working.

Our AI leadership extends beyond how we build to what we build. Our Mihra AI agent delivers 7x faster threat response for customers, and we're recognized as "Agents of Change" in Human Risk Management. Engineers here work at the intersection of cutting-edge AI tooling and AI-powered security products that protect organizations worldwide.

The Role

As a Senior Site Reliability Engineer, you will be a hands-on engineer who stands up infrastructure, debugs it when it misbehaves, and turns both activities into repeatable, self-service patterns for the engineering teams we support. The ability to provision infrastructure and debug complex distributed systems is our highest concern for this role. CI/CD expertise sits close behind - while observability knowledge is useful but increasingly centralized via shared platforms.

You will work in a small, focused team and in close partnership with the product engineering squads you enable. Expect to rotate between greenfield infrastructure build-outs, pipeline and tooling improvements, and the occasional deep incident investigation.

What You'll Do:

* 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 (Git Hub 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…