Senior Software Engineer

Jobtailor

Cork

On-site

EUR 90,000 - 130,000

Full time

14 days+

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Job summary

Jobtailor in Ireland is seeking an experienced software engineer to own production systems end-to-end, shaping features with the product manager, engineers in your pod, and GTM for rapid value delivery.

You will prototype ideas, decide when something is production-grade, ship to production multiple times daily, own incidents, review PRs, and use AI coding agents like Claude Code and Copilot to accelerate delivery while maintaining observability.

Qualifications

Production-grade engineering experience spanning full lifecycle.
Strong Python development and distributed services design using RESTful and event-driven APIs.
Experience with DevOps, cloud environments (ideally AWS), CI/CD, and observability.
Ability to prototype ideas and determine readiness for production.
Outcome-oriented with focus on user and business impact.
Autonomy and shared ownership within a pod; self-delivery.

Responsibilities

Own incidents end-to-end from detection to learning.
Prototype ideas and decide when to graduate to production-grade.
Review pull requests and ensure long-term maintainability.
Ship code to production multiple times a day.
Collaborate with PMs, engineers in your pod, and GTM.
Use AI coding agents to generate, refactor, and review code.

Skills

Production-Grade Engineering

Python Development

RESTful And Event-Driven APIs

DevOps Practices

AWS Cloud Environments

CI/CD

Observability

Prototyping

Incident Management

Code Review

Impact Measurement

Outcome-Oriented

Autonomy

Shared Ownership

SaaS

Tools

Claude Code

Copilot

Job description

Ship a slice of a product feature to production — shaping it with your Product Manager, engineers in your pod, and GTM.
Use AI coding agents (Claude Code, Copilot) as part of your daily workflow — generating, refactoring, and reviewing code with a critical eye.
Push to production multiple times a day.
Own incidents end-to-end when a service misbehaves — from the page, through investigation, to the post-incident learning.
Prototype an idea, knowing when something is good enough as an experiment and when it needs to graduate to production-grade.
Review pull requests thoroughly, and have your own work reviewed by peers who care about long-term maintainability as much as they care about shipping fast.

Requirements

Production-grade engineering experience.
Solid proficiency in software development with a track record of owning production systems through their full lifecycle, ideally in a SaaS context.
You work in Python, design distributed services using both RESTful and event-driven APIs, and are comfortable with DevOps practices, cloud environments (ideally AWS), CI/CD, and observability.
A sense for prototype versus production.
You can rapidly stand up a prototype to test an idea, and you know when an idea is ready to graduate to production-grade engineering — and what it takes to get it there.
Outcome-oriented.
You measure your work by the impact it has on users and the business — not by tickets closed or volume of code shipped.
Autonomy and shared ownership across the pod.
Pods run their own delivery without heavy ceremony or constant management presence.
AI as a force multiplier for the craft.
You use Claude Code, Copilot, or similar tools regularly, directing them to iterate rather than accepting first output.

Core Competencies

Demonstrates production-grade engineering experience with solid proficiency in Python and the ability to design distributed services using RESTful and event-driven APIs. Capable of rapidly prototyping ideas and transitioning them to production-grade engineering while utilizing AI coding agents to enhance productivity.

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