Software Engineer (E2)

Job Summary:

Job Description :

Who we are…

At Wellington IT we provide the most successful range of Credit Union software in Northern Ireland/Ireland, currently moving billions each year and managing funds for more than 1 in 4 people. Our customers use our software to power every aspect of their financial services business from savings and loans, through to business intelligence, online banking, mobile apps, debit card services and ATMs.

Wellington IT is part of Volaris, an operating group of Constellation Software Inc, a large corporate business based in Canada. Volaris acquires and strengthens Company’s within the markets they compete, enabling them to grow – whether that growth comes through organic measures such as new initiatives and product development, day-to-day business, or through complementary acquisitions. Our people are at the heart of everything we do, Wellington IT Offers fantastic learning programs, career growth opportunities, and a culture that’s all about continuous improvement.

If you're excited by building reliable software and improving how teams deliver with AI — bringing strong judgement, a learning mindset, and collaborative delivery habits — this role is built for you. We welcome diverse experiences and perspectives and we'd love to hear from you.

Your Mission…

As a Software Engineer at Wellington IT, your mission is to deliver high-quality software end-to-end inside a pod — using agentic development tooling as your default workflow, adapting across stacks as workstream priorities shift, and shipping confidently without needing a narrow specialism to lean on.

We have active investment in agentic development tooling across our engineering teams and the appetite to keep evolving it. We expect engineers joining us to bring real working judgement about when to trust agent output and when to override it — not surface-level enthusiasm, but

formed practice.

 

The Impact You'll Have

• Deliver end-to-end features with appropriate automated tests, telemetry, and documentation so teams can ship confidently and operate reliably.
• Increase delivery speed without sacrificing quality by using AI coding agents effectively and validating outputs with strong review discipline.
• friction in the AI-assisted delivery cycle by contributing reusable prompts, playbooks, and automation for repetitive work.
• Strengthen predictable delivery by collaborating with Product and QA, communicating blockers early, and delivering to commitments.
• Raise the engineering bar inside the pod through tooling improvements, knowledge sharing, and continuous improvement beyond ticket delivery.

Key Responsibilities (Including, but not limited to):
Build & ship end to end:

• Deliver features end-to-end: Design and implement across API, data, and UI layers as the workstream demands — with appropriate automated tests, telemetry, and documentation.
• Operate as a T-shaped Pod Contributor: Go deep enough in the pod's primary stack to ship confidently; pair across adjacent areas when needed.
• Adapt to unfamiliar codebases and stacks: Read and contribute to code you didn't write, in languages and frameworks you may not have used before.

​Deliver with AI-assisted engineering judgement​

• Use agentic tooling as your default workflow: Direct AI coding agents effectively, review AI-generated output critically, and know when to step in manually. Contribute to pod-level prompt patterns and automation of repetitive work.
• Embed AIDLC practices within the pod: Contribute to AI-assisted development lifecycle adoption — including validation checkpoints, prompt libraries, and continuous improvement of the AI-assisted delivery cycle.
• Invest in what moves the needle: Keep delivery rituals lean and fit for purpose; spend the rest staying current with agentic tooling, sharing what you learn, and cutting friction out of the AI-assisted delivery cycle.

Operate as a strong pod teammate

• Collaborate across functions: Work with Product, QA, and stakeholders to estimate predictably, communicate blockers early, and deliver to commitments.
• Contribute beyond ticket delivery: Tooling choices, internal automation, knowledge sharing, and raising the engineering bar inside the pod.
• Additional duties: Perform other duties as reasonably required by Management to meet business needs.

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Skills & Experience

Essential:

• 3+ years of professional software engineering experience shipping production code.
• Production experience in at least one mainstream language — TypeScript, Python, Java, C#, Go, or close equivalent. Stack agnosticism matters more than any specific language.
• Active daily use of an AI coding agent (Cursor, Claude Code, GitHub Copilot, Amazon Q Developer, or equivalent) in a professional context, with AI-assisted code shipped to production. Able to articulate, with concrete examples, where agentic tooling accelerates delivery and where it introduces risk.
• Solid fundamentals: version control (Git), automated testing (unit and integration), CI/CD basics, observability signals (logs, metrics, traces), security and privacy hygiene.
• Strong written and verbal communication; comfortable working in small pods and across pod boundaries.

Desirable:

• Experience in a regulated industry (financial services, healthcare, or public sector).
• Exposure to AWS serverless, Oracle/PL-SQL, .NET, or JavaScript frameworks.
• Track record of contributing to engineering practice beyond ticket delivery — internal tooling, automation, or knowledge sharing.

Our Competencies

• Integrity

• Energy & Drive

• Initiative

• Domain Expertise

• Resilience

• Execution

• Customer Centric

• Team Building
   

Wellington IT Culture & Values

• Commitment – We are committed to the success of our colleagues and customers

• Teamwork - We do amazing things when we work as a team

• Respect - We value and seek everyone’s contribution

• Honesty - We are open and honest in everything we do

• Positivity - We embrace and inspire positivity in each other

• Leadership - We lead by example with our words, our actions and results

What We Have To Offer

• Bonus Scheme

• Annual leave (36 days Including your birthday off)

• Training & Development (Internal & External)

• Market leading workplace pension (15% matched)

• Private Healthcare Scheme

• Enhanced maternity leave

• Hybrid Working

• Flexible start / finish times

• Family related benefits

Worker Type:

Number of Openings Available:

We reserve the right to enhance the criteria as necessary to facilitate the shortlisting process