IG Group Logo

IG Group

Senior React Native Engineer - Client Platform

Posted 3 Days Ago
Be an Early Applicant
In-Office
City of London, City and County of the City of London, England
Senior level
In-Office
City of London, City and County of the City of London, England
Senior level
Build internal AI-enabled engineering tooling for coding, testing, deployments, defect triage, observability, and automation. Integrate LLM developer tools with Jira, Confluence, GitLab, and CI/CD systems while establishing responsible AI safeguards. Improve engineering metrics, support production systems, collaborate with product, testing, security, and compliance teams, and mentor engineers on effective AI adoption. Strong Java or comparable backend experience, test-driven development, pair programming, and full system ownership are required.
The summary above was generated by AI

Job Title

Senior React Native Engineer - Client Platform

Job Description

So, who are we?

IG Group is a FTSE 100 fintech operating across five continents, serving over 1.4m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses. 

  

The bar is high – bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. 

  

Join us at IG – the future gets built here. 


Your team:

We're looking for a Senior React Native Engineer to join our Client Platform team to push hard on AI across our React Native and UI engineering practice: AI-assisted coding, testing and deployments, shift left on security, defect triage and observability, and the internal tooling that connects our AI tools safely to Jira, GitLab, and our CI/CD pipeline. You'll bring strong React Native and front-end UI expertise, with a sharp eye for component architecture, performance, and cross-platform consistency. This is a hands-on role. You'll build tooling yourself, and you'll help set how your team adopts it. 


Your role in the Team’s Success:

This role suits engineers with a strong grounding in software engineering practice: test-driven development, pair programming, and real ownership of systems from design through to production support, with real depth in Java or a comparable backend service ecosystem. The fundamentals matter most: engineers who can write their own tests, review their own designs, and catch their own defects, and who use AI to extend that practice further and faster. Growing into the person the whole group comes to for technical judgement is part of the role. 


Our ambition: engineering that runs itself:

The long-term goal is a pipeline where AI agents handle the bulk of coding support, testing, and triage end-to-end, largely unattended, with engineers stepping in for genuine judgement calls and exceptions. We’re early on that path today, and we want someone in this role who treats the destination as real and pushes their team toward it deliberately. 


What you’ll do: 

  • Apply highly skilled React Native and UI expertise to improve application performance, architecture, and code quality across the Client Platform. 
  • Build and maintain internal tooling that embeds AI into day-to-day engineering work: coding assistants, AI-assisted test generation, deployments, and defect triage. 
  • Contribute to observability in the AI-assisted pipeline, so every stage shows what the tooling is doing, catching, and missing. 
  • Identify manual steps in coding, testing, and release that can run largely unattended, and help build the automation to get there. 
  • Split work into small, releasable pieces that ship continuously. 
  • Work closely with a product person on your product domain, so what you build is grounded in real delivery. 
  • Treat improving ways of working and driving AI adoption as a fundamental, ongoing part of delivering value. 
  • Work with the test and PM function to bring AI into the testing pipeline: exploratory test generation, defect clustering, flaky-test detection, and smarter prioritisation of what to test. 
  • Evaluate and help roll out LLM-based developer tools, for example Claude Code and similar, integrating them safely with our Jira, Confluence, and GitLab environments. 
  • Follow and help refine standards for responsible AI use in the SDLC: data handling, prompt hygiene, and guardrails around production and customer data. 
  • Mentor less experienced engineers on effective use of AI tooling, as well as React Native architecture and performance best practices. 
  • Work with security and compliance to make sure AI tooling meets IG's regulatory and data-handling requirements. 
  • Track the metrics that show whether AI tooling is helping: cycle time, defect escape rate, test coverage, delivery turnaround. Iterate based on what the data shows. 

 

What you’ll need for this role:

  • Extensive background as a Software Engineer, with demonstrated technical judgement on production systems. 
  • Highly skilled in React Native and UI development, with a strong track record of improving performance and architecture in production applications. 
  • Strong fluency in test-driven development and pair programming as working disciplines. 
  • Real ownership experience: you've designed features or systems, built them, deployed them, and supported them in production. 
  • A genuine appetite for aggressive automation. You get energised by removing manual steps entirely. 
  • Some experience evaluating or using LLM-based developer tools in a real engineering environment. 

Preferred 

  • Experience with MCP, agentic tooling, or Spec Driven Development. 
  • Familiarity with the Atlassian ecosystem (Jira, Confluence) and its APIs. 
  • Prior experience in financial services, trading platforms, or another regulated, high-reliability environment. 

 

The Perks:

It really is more than a job. We think like a start-up, but we deliver like a FTSE 100 — so the bar is high, and we won't pretend otherwise. We work hybrid, which means three days in the office. We’ll recognise your talent and make sure that you can still have a life – at work, and outside of it. Networks, committees, awards, sports and social clubs, mentorships, volunteering opportunities, extra time off… the list goes on. 


  • Competitive salary
  • Flexible Benefits Package on top of your salary (12%)
  • Private medical cover for you and your family
  • Life insurance
  • Contribution to gym memberships
  • 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total)
  • The option to buy or sell holiday days
  • A comprehensive global and local onboarding process
  • Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents

Learn more about the Perks here!


Join us for this exciting journey. Apply now!

Number of openings

1

Similar Jobs

47 Minutes Ago
Hybrid
Senior level
Senior level
Information Technology
Supports financial planning, forecasting, and revenue-to-gross-profit FP&A processes across UK and international operations. Produces month-end analysis, business reviews, performance insights, pipeline analysis, and strategic planning materials. Identifies risks and opportunities for senior stakeholders, improves reporting consistency and automation, supports competitor analysis, and partners with Finance and Sales leaders to improve forecast accuracy and standardize planning tools.
Top Skills: Automation ToolsExcelMicrosoft Power BiMicrosoft Powerpoint
57 Minutes Ago
Hybrid
Expert/Leader
Expert/Leader
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads the architecture and development of aerospace propulsion control systems using MBSE, SysML, and MATLAB/Simulink. Oversees requirements validation, traceability, verification, certification support, and compliance with aerospace standards including DO-178C, DO-254, and ARP4754A. Mentors multidisciplinary engineering teams, resolves technical risks, leads reviews, and engages customers and regulatory agencies.
Top Skills: Arp4754ADo-178CDo-254MatlabMbseSimulinkSysml
57 Minutes Ago
Hybrid
Senior level
Senior level
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads propulsion control system architecture, integration, modeling, requirements management, verification, and validation using MBSE methods. Guides multidisciplinary engineering teams, resolves technical risks, conducts technical reviews and customer engagements, and supports aerospace certification and regulatory activities. Requires extensive aerospace systems engineering experience, knowledge of DO-178C, DO-254, or ARP4754A, and proficiency with SysML or MATLAB/Simulink.
Top Skills: Arp4754ADo-178CDo-254Matlab/SimulinkMbseSysml

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account