Software Engineer - Associate - Infrastructure Platforms
On-siteDublin, Leinster, Ireland
Job Summary
Design, build, and operate enterprise-scale infrastructure platform features across the full software development lifecycle, writing and reviewing high-quality production code while prioritizing reliability, performance, security, and cost. Diagnose and resolve production incidents alongside senior engineers, leveraging AI-native practices for development, code review, test generation, and incident triage. Share an on-call rotation, build observability into shipped systems, and decompose scoped problems into executable work for AI agents and yourself. Define success criteria, measure impact, and collaborate on technical decisions with a security-first mindset. Work in a greenfield Dublin hub to shape new engineering culture and establish critical infrastructure platforms powering the firm.
Required Qualifications
- Applied experience producing production code in an industry-standard language (e.g., Python, Go, Java, C++, Rust)
- Working knowledge of *nix (Linux or UNIX-like OS) and networking fundamentals
- Hands-on exposure to at least one infrastructure domain (cloud, networking, compute, storage, security, or data infrastructure), or clear appetite to specialize
- Working experience with infrastructure-level systems and tooling (Kubernetes, Terraform, CI/CD, databases)
- Developing systems thinking — awareness of interfaces, contracts, and common failure modes
- Fluency using AI tools for engineering work, with judgment on where AI applies versus where deep human expertise is required
- Security-first mindset when writing and shipping code
- Clear, direct communication with teammates, stakeholders, and peers
- Outcome orientation, focused on impact, reliability, and cost
- Comfort operating with defined scope in a greenfield context, and willingness to work through ambiguity with guidance
Desired Qualifications
- Exposure to multiple infrastructure domains or programming languages
- Experience contributing to services at scale, including on-call participation and incident response
- Examples of reducing operational toil through automation and better engineering
- Demonstrated ongoing AI skill development (context/prompt engineering, agent orchestration) and use of AI tools to accelerate delivery
- Prior experience in regulated or large-scale enterprise environments
- Interest in greenfield engineering projects
- Ability to solve well-scoped technical problems independently
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