Principal Software Engineer

IAG Ai
London
1 month ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer X 3

Senior/Principal Software-Firmware Engineer

Powertrain Software Engineer

Principal Firmware Engineer

Principal Engineer

Principle Pricing Analyst

Job Description

Purpose of the role
As a Principal Engineer in the Software Engineering & Delivery team, you will focus on delivering automated tooling and software engineering solutions to benefit IAG Tech and the business. 

As well as leading by example as a hands-on software engineer, you will support the team by determining the optimal technical and engineering approach to building, onboarding, securing, monitoring, and generating data and insight from our tools and products and ensuring adherence to the approach. This role will help set the standards and engineering best practices across the central software engineering team. 

This role is a critical position to help enhance and build our bespoke engineering metrics platform that will be used across IAG Software Engineering to drive operational efficiencies, surface metrics for data-driven decision-making, and encourage software engineering best practices.

The Team
The Software Engineering team consists of 3 teams, and this role sits on the largest team, Engineering Acceleration. Other teams are Central Tooling Services and the AI Engineering Platform team. The mission of the Engineering Acceleration team is to enable and empower software engineering and AI teams across IAG to deliver high-quality software efficiently and safely, leveraging best practices and reusable assets.

The main product that this role is currently working on is a bespoke Engineering Metrics Platform that pulls data from multiple technical tools (e.g. GitHub, SonarCloud, and Snyk) to surface data-driven insights on an AWS and PowerBI-based platform. These insights help facilitate engineering productivity improvements, cost savings, and decreased risk of security or quality issues across all of IAG. The role will also work in close collaboration with the AI Engineering Platform squad within Software Engineering and the AI product teams to review their work and offer opinions on engineering quality and best practice improvements. The product is still in development and is continuously evolving in an agile manner to ensure it meets stakeholder requirements and surfaces trustworthy metrics that can drive business behaviours. 


Qualifications

Working in partnership with IAG Tech and the business to:

Produce logical and physical designs for all layers of the tooling architecture, from user interface through to back-end databases and systems. 

Write and maintain code to support the collection of data from tools such as GitHub, Snyk, SonarCloud, JIRA, Confluence, etc, and ensure compliance with the IAG identity and access management solution.

Develop tooling, API integrations to SaaS tools, and automation solutions to provide engineering and productivity metrics to collect insights from shared tooling, such as GitHub, JIRA, Confluence, SonarCloud, Snyk, etc. 

Consider and evaluate potential package “off the shelf” solutions to achieve the defined requirements for AI teams (including piloting, prototyping and assessing cost of potential solutions).

Design and deliver solutions that achieve the requirements, using standard methods, tools and techniques. Obtain specialist advice identified on aspects of the design, technical policy, and test strategy from appropriate specialists as required.

Drive the creation of necessary documentation and Inner Source materials to promote best practices, share high-value engineering patterns, and create operational efficiencies in onboarding processes across Software Engineering.

Work with Engineering teams across IAG.ai and the OpCos to help identify valuable synergies and encourage cross-collaboration and adoption.

Drive CI/CD tooling enhancement initiatives to ensure security of pipelines, encourage modern software engineering practices, and introduce automated reporting capabilities. 

Create environments that enable and encourage Continuous Improvement/Development and DevSecOps ways of working, taking input from process owners and other subject matter experts to gain a great understanding of business ways of working and challenges. 

Plan, design and conduct tests of solutions, translating acceptance criteria into suitable tests; corrects errors and re-tests to achieve an error-free result. This includes actively seeking and deploying automated test solutions. 

Work with Business Analysts and other stakeholders to understand their acceptance criteria. 

Provide support on tooling, building, testing and implementing fault fixes and monitoring the solutions to prevent problems occurring. 

Deliver on multiple projects, embracing and managing both business and IT change as necessary to help shape future direction. 

This role may require travel and working from multiple sites/locations. You must be willing and able to travel to participate in meetings, workshops, and other related activities.

Skills Required
Excellent ability to deploy and maintain Software as a Service (SaaS) and tooling infrastructure.

Good ability to engineer/develop/code in the specific technology area, specifically:

Amazon Web Services (AWS) solutions and infrastructure are essential. Azure experience is preferred. 

Multiple databases and understanding of pros and cons of each for different scenarios

Broad programming and scripting experience in order to understand and drive best practices across different tech stacks, including but not limited to Typescript and Python

Deployment tools such as GitHub, Github Actions and GitHub Runners

Security and quality tools, such as Snyk, GitHub Advanced Security, and SonarCloud, and experience integrating into the IDE

PowerBI skills are highly desirable or a willingness to learn

GitHub Copilot experience preferred
    
Forming strong stakeholder relationships, with a proven ability of influencing and persuading internally and externally 

Effective stakeholder management, balancing and finding compromises between opposing views and opinions

Business partnering, working as a valued partner with stakeholders across a diverse operation, delivering a value-added service to business customers

Ability to recognise priorities and guide others towards the accomplishment of strategic business goals and objectives
   
Ability to work under pressure and in a high change environment
    
Innovation - transforming industry trends into practical, cost effective solutions

Identifies and contributes to the continual improvement of software engineering capability across the organization
    
Excellent communication skills, leading with value and consequence rather than technical jargon

Experience
Proven expertise in the technical design, build, test and support of large and/or complex cloud solutions.

Demonstrable experience of deploying and maintaining Software as a Service (SaaS) solutions with an emphasis on automation and “Everything as Code”.

Experience in translating complex business requirements into system design, taking into account technical environment(s), ability of user group to interact with the system and expected life and volatility of system. 

Demonstrable expertise in a specific technical specialism and/or broad technical expertise.

Experience of developing in an agile and/or DevSecOps environment is highly desirable, including unit testing, behaviour driven development, and continuous integration/continuous deployment.

Education
Educated to degree level in Computer Science / technical degree or equivalent industry experience.



Additional Information

Benefits
The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry, working in a multi-cultural environment with great offices in many locations. We aim to provide all our people with a work/life balance, as well as the many benefits offered by a global organisation, including health insurance, pension, and performance bonuses

Diversity and Inclusion
IAG Tech is part of the IAG GBS organisation, and our people are at the heart of everything we do. We recognise that we can only deliver the required business outcomes if we have a thriving community of technology professionals. Together we strive to become the very best at what we do.

We focus on making Tech a great place to work, with a community that we feel proud to belong to. To help make this a reality, our people strategy focuses on six key domains: Engagement, Talent Management, Reward and Recognition, Performance Management, Learning and Development and Culture. 

We understand the importance of Diversity and Inclusion in the workplace to deliver this strategy – everyone should feel part of our team. We want to foster an inclusive workplace, celebrate individuality and embrace differences so that everyone in IAG Tech can achieve their goals and ambitions, regardless of their personal circumstances or background. 

As a Group, IAG has an ambition that 40% of senior management roles are held by women by 2025. IAG Tech fully supports that ambition, and we are working to help make it a reality. With this in mind, we have set ourselves the challenging target of recruiting 50% female colleagues by 2030.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Job-Hunting During Economic Uncertainty: Data Science Edition

Data science has become essential for modern businesses, enabling data-driven decisions that enhance efficiency, profitability, and strategic foresight. From predictive analytics in finance to recommendation engines in retail, data scientists sit at the crossroads of statistics, programming, and domain expertise, building models that translate raw information into tangible insights. Yet, when broader economic forces create uncertainty—through market downturns, shifting investor priorities, or internal budget constraints—data science roles can experience increased scrutiny, competition, and extended hiring cycles. Despite these pressures, data-driven approaches remain crucial to organizations looking to weather challenges and find opportunities in volatile environments. Whether you’re refining advanced machine learning techniques, fine-tuning data pipelines, or collaborating with business stakeholders on dashboards, your skill set is often still in demand. The key is adapting your job search strategy and personal branding to cut through the noise when fewer roles may be available. This article explores: Why economic headwinds affect data science hiring. Actionable strategies to stand out in a tighter job market. Ways to emphasize your technical and soft skills effectively. Techniques to maintain focus and resilience despite potential setbacks. How www.datascience-jobs.co.uk can help you secure the ideal data science position. By combining strategic thinking, polished communications, and adaptability, you can land a fulfilling data science role that leverages your expertise—even if the market feels more demanding.

How to Achieve Work-Life Balance in Data Science Jobs: Realistic Strategies and Mental Health Tips

Data science has quickly emerged as one of the most influential fields in the modern workplace, shaping how businesses make critical decisions and expanding our understanding of everything from consumer behaviour to public health trends. As the global demand for data insights continues to rise, companies of all sizes are seeking professionals who can effectively harness analytics and machine learning to drive innovation. Yet, this promise of limitless opportunity comes with significant challenges. Data scientists often grapple with large volumes of complex data, tight project deadlines, cross-functional collaboration, and constant upskilling. Amid the excitement of discovering actionable insights and developing high-performing models, many wonder if it’s truly possible to maintain a healthy work-life balance. With the field evolving at breakneck speed, the intensity of these roles can leave even the most passionate data professionals drained and questioning how to protect their personal well-being. This article delves into the reality of high-intensity data science jobs, offering practical guidance on setting realistic expectations and preserving mental health. We’ll look at common pitfalls like burnout and perpetual “always learning” pressure, while also highlighting proven strategies for boundary-setting and effective time management. Whether you’re a seasoned data architect, an aspiring machine learning engineer, or somewhere in between, you’ll find actionable tips to help you manage your career trajectory without sacrificing your personal life.

From Research Labs to Real-World Insights: How Academic Researchers Can Thrive in Data Science

Over the past decade, the data science revolution has swept across industries—retailers predicting shopping habits, hospitals personalising patient treatments, and finance companies detecting fraud in near-real time. This surge in data-driven decision-making has created a pressing need for specialists capable of extracting meaningful insights from complex datasets. As a result, PhD holders and academic researchers are uniquely positioned to bring high-calibre analytical skills to the commercial realm. But transitioning from academia to data science can seem daunting: Where do you begin? How do you communicate your research background in industry-friendly terms? What new tools should you learn? This comprehensive guide, explores the paths, challenges, and strategies for academics making the leap into data science. You’ll discover how to leverage your scholarly expertise, adopt a commercial mindset, and build a career that transforms raw data into actionable insights—fostering innovations across every sector of the economy.