Senior Software Engineer
$80,000–$120,000 year
HybridLondon, England, United Kingdom
Job Summary
Build and iterate on reusable tooling and automation that accelerates AI-Native development practices across the Product and R&D organization. Develop agentic system prototypes demonstrating production-viable patterns for engineering teams to adopt. Evolve internal visibility and measurement systems providing actionable insight into AI-Native evolution progress. Collaborate with teams to surface emerging challenges and contribute to knowledge sharing through documentation and hands-on support. Contribute to paved roads concentrating on architecture and security alignment to reduce experimentation costs. Work with the Director of Strategic Initiatives and architects to share knowledge and evolve how Mimecast builds software.
Required Qualifications
- Strong hands-on software engineering skills with demonstrated ability to ship production-quality tooling, automation, and integrations
- Solid DevOps and platform engineering fluency — comfortable working with CI/CD pipelines, infrastructure-as-code, and modern delivery toolchains
- Working knowledge of secure development practices and the ability to integrate security considerations into tooling and architectural patterns
- Full-spectrum engineering background spanning multiple disciplines (e.g., QA, tooling, platform, application development) — not a narrow specialist
- Strong communication and facilitation skills: comfortable communicating technical work clearly and collaborating with engineers across teams
- Demonstrated ability to work with increasing autonomy, prioritize across competing demands, and drive initiatives forward without close direction
- Evidence of initiative and impact beyond immediate team responsibilities
- Solid engineering experience at the mid-to-senior level with evidence of growing scope and initiative
- Employees are expected to come to the office at least two days per week
Desired Qualifications
- Experience in cybersecurity, email security, or adjacent enterprise SaaS domains preferred
- Familiarity with AI/ML concepts including prompt engineering, model evaluation, retrieval-augmented generation, and agent orchestration frameworks is valuable but can be developed in-role
- Prior experience in a developer enablement, developer experience, internal tools, or platform engineering function preferred
- Experience contributing to internal tooling, shared engineering infrastructure, or developer-facing platforms that serve a broad engineering organization is a plus
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