IFS
Lead/Senior Lead Software Engineer - Agentic AI Engineering (Enterprise Asset Management)

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Company Description
IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.
Job Description
We are looking for a talented Lead/Senior Software Engineer to join our Enterprise Asset Management team and play a leading role in designing, developing, and implementing cloud-based enterprise solutions. The ideal candidate will demonstrate a strong leadership mindset, solid operational experience, and excellent problem-solving and communication skills.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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In this role, you will evaluate, implement, and extend enterprise solutions while driving continuous improvements in software engineering practices across the team. You will be responsible for delivering scalable, reliable, and high-quality Enterprise Asset Management solutions by leveraging the right technologies, tools, processes, and engineering practices. As a technical leader, you will champion industry best practices to enhance engineering efficiency, solution quality, maintainability, and operational excellence.
We are particularly looking for candidates who embrace modern AI-driven engineering practices, including agentic AI approaches, and effectively apply them throughout the entire software development lifecycle from solution design and development through testing, deployment, and customer acceptance to enable smarter engineering, accelerate delivery, and drive continuous innovation.
Business Mindset
- Demonstrates the ability to align engineering decisions with business goals, focusing on initiatives that deliver measurable value.
- Understands the commercial impact of technical choices, balances investment against business outcomes, and helps teams make decisions that support organizational success.
- Demonstrate a customer-focused mindset by making technical decisions based on customer needs and feedback.
- Works directly with customers to solve adoption, performance, and design challenges, and uses those insights to guide technical direction while promoting a culture that prioritizes customer outcomes.
- Takes ownership of delivering results by removing blockers, making clear priorities, and maintaining high-quality standards.
- Delivers on commitments or raises risks early when plans need to change.
- Make proactive decisions on technical debt, investments, and quality, while setting clear expectations and standards for others to follow.
- Uses AI tools effectively to improve engineering productivity and quality, understanding when AI adds value and when traditional approaches are more appropriate.
- Promotes the adoption of AI as a core engineering capability and helps the team build stronger AI-assisted development practices.


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Technical Skills
Required
- Strong hands-on experience with Go and modern backend development, ideally with TypeScript/Node.js.
- Experience designing and building microservices, event-driven systems, and RESTful APIs using technologies such as Kafka, Redpanda, and Kubernetes.
- Solid understanding of Domain-Driven Design (DDD), bounded contexts, service decomposition, and distributed system design.
- Experience with PostgreSQL, MongoDB, and cloud platforms such as AWS and Azure.
- Strong knowledge of CI/CD, automated testing (unit, integration, and end-to-end), observability, and production operations.
- Understanding secure software development, authentication/authorization, and DevSecOps practices.
- Experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar.
- Familiarity with AI-assisted Spec-Driven Development (SDD).
- Strong analytical and problem-solving skills, with the ability to lead technical initiatives and mentor engineers.
Beneficial
- Experience with React and modern frontend development.
- Experience building Enterprise SaaS or ERP products.
- Knowledge of LLMs, AI agents, RAG, context engineering, and AI evaluation in production environments.
- Experience designing and delivering enterprise-grade AI-powered applications.
Qualifications
- A degree in Computer Science, Software Engineering, or Information Technology, along with a minimum of 6 years' experience in a similar role.
- Excellent communication and multi-tasking skills along with an innovative mindset.
Additional Information
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
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