Work AI-native across the SDLC, using AI-assisted development, code review, test generation, and incident triage while maintaining validation standards
Share an on-call rotation with your team, respond effectively to production incidents, and build operability and observability into what you ship
Analyze and improve code and systems for quality, scalability, efficiency, and performance
Decompose scoped problems into clear, executable work for yourself and AI agents, integrating results into production-ready systems
Define success criteria for your work and measure its impact
Collaborate with teammates and stakeholders, contribute to technical decisions, and proactively raise risks and questions
Apply security and operational-risk judgment in your engineering work
Required Qualifications, Capabilities, and Skills
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
Preferred Qualifications, Capabilities, and Skills
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
Why Join Us?
You’ll write real code on infrastructure the firm depends on, alongside senior engineers who’ll help you grow. You’ll work AI-native from the start, on greenfield problems, in a brand-new Dublin hub. We progress people based on the quality of their decisions and the impact of their work — a Software Engineer III seat here is a launchpad, not a holding pattern. Join a team where building takes precedence over maintenance, deep technical craft is valued, and your work scales across the firm.
