Director of Software Engineering
On-siteDublin, Leinster, Ireland
Job Summary
Lead a small senior team designing, building, and operating enterprise-scale infrastructure platforms from architecture through production. Write and review production code while establishing AI-native engineering practices with robust validation standards. Own the design, delivery, and operation of these services, ensuring correctness, security, reliability, and cost-effectiveness. Participate in an on-call rotation, acting as an escalation point for production incidents to build operability and observability. Decompose ambiguous problems into clear, executable work for engineers and AI agents, setting direction and governance for agentic AI-enabled engineering and SDLC/TLM automation. Define success criteria, measure impact, and hold the team accountable to outcomes while partnering with stakeholders to resolve technical disagreements and raise risks. Establish a high-performance, high-ownership culture within the new Dublin engineering hub.
Required Qualifications
- Hands-on software engineering background with production coding experience in an industry-standard language (e.g., Python, Go, Java, C++, Rust)
- Deep experience building and operating systems in at least one infrastructure domain (cloud, networking, compute, storage, security, or data infrastructure)
- Experience running production systems at scale, including on-call ownership, incident response, and designing for reliability and operability
- Experience leading or mentoring engineers and setting technical direction
- Strong systems thinking, including interfaces, contracts, failure modes, and interactions at scale
- Ability to direct AI tools for real engineering work, with sound judgment on where AI applies and where human expertise is required
- Security-first mindset, integrating risk judgment from design through production
- Clear, direct communication with engineers, stakeholders, and peers
- Outcome orientation, focused on impact, reliability, and cost
- Comfort operating with ambiguity and greenfield scope
- Inclusive, collaborative leadership style, able to attract, grow, and retain strong senior engineers
Desired Qualifications
- Experience across multiple infrastructure domains or programming languages
- Track record of reducing operational toil and cost through automation and better engineering
- Experience adopting AI-native engineering practices at team or organizational scale
- Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
- Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
- Prior experience in regulated or large-scale enterprise environments
- Experience with greenfield builds and establishing engineering culture
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