Software Development Engineer II

Capgroup; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

2-for-1 matching gifts

Annual charitable grants

On-demand professional development

Flexible time-off and health benefits

Job summary

Capital Group is seeking an experienced Software Development Engineer II to contribute to the Enterprise Data Office Content Delivery team in a hybrid role. You will lead full stack engineering delivery, collaborating with business and product leaders to transform workflows into clear outcomes and technical specs.

You’ll design and deploy modern full stack applications, APIs, and data workflows, while driving AI-enabled practices for better productivity and outcomes.

Qualifications

• Experience as a full stack engineer with modern web technologies.
• Familiarity with AI-enabled engineering practices and data-driven approaches.
• Ability to design, build and operate modern full stack applications and data workflows.

Responsibilities

• Lead full stack engineering delivery across projects.
• Translate business needs into technical specs and acceptance criteria.
• Design, build and operate modern full stack apps, APIs and data workflows.
• Develop accessible front-end and UI experiences for EDO products.
• Establish strong engineering practices, quality and collaboration.
• Apply AI-enabled tools to improve discovery, productivity and data quality.
• Implement end-to-end AI solutions including retrieval-augmented generation pipelines.
• Ensure data quality, lineage, cataloguing and access controls across systems.
• Deliver production-ready solutions from discovery through deployment and operations.
• Define acceptance criteria early and build automated evaluation harnesses.

Job description

"I can be myself at work."

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

"I can influence my income."

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

"I can lead a full life."

You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success.

Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options

• Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love
• Access on-demand professional development resources that allow you to hone existing skills and learn new ones

As a Software Development Engineer II, you will contribute hands on to the Enterprise Data Office (EDO) Content Delivery team. You will collaborate closely with peers across EDO, GT and global business partners to enable, transform and optimize the delivery of software applications and data solutions that support Capital Group's strategic growth.

This is a role for an experienced full stack engineer with AI experience who combines strong application engineering depth with modern data and AI approach. You will contribute directly to discovery, architecture, design, coding, testing, deployment and operational excellence, while mentoring engineers and helping the team adopt practical AI-enabled engineering practices where they add measurable value.

The role sits within EDO Content Delivery and focuses on building and improving full stack applications and data-enabled products, including product reference data management, client-facing data applications, AI enabled applications, and marketing/publishing data automation. AI experience is important because you will help enhance and improve the AI engineering capabilities within our applications and team, applying generative AI and automation responsibly to improve engineering productivity, application, data quality, controls and user outcomes.

What you'll do

• Lead full stack engineering delivery
• Partner directly with business and product leaders to understand workflows, identify high-value opportunities and translate ambiguous needs into clear outcomes, acceptance criteria and technical specifications.
• Design, build and operate modern full stack applications, APIs, data workflows and user-facing capabilities that support EDO Content Delivery priorities.
• Develop intuitive, accessible and maintainable front-end and UI experiences that make EDO applications easier to use, support and extend.
• Help establish strong full stack engineering practices across the team, setting a high bar for technical quality, collaboration, inclusion and continuous learning.
• Use AI-enabled tools and practices to improve discovery, engineering productivity, testing, documentation, data quality and operational support where they are appropriate and well controlled.
• Implement modern AI solutions
• Implement end-to-end retrieval-augmented generation solutions, including parsing, ingestion, chunking, metadata, embeddings, vector storage, retrieval, reranking, context assembly and prompt management.
• Apply sound system-design and distributed-systems judgement across structured and unstructured data, with particular attention to data quality, lineage, cataloguing and access controls.
• Deliver production excellence
• Implement and deliver solutions end to end, from partnering on discovery and architecture through implementation, controlled rollout, adoption and ongoing operations.
• Practise evaluation-driven development by defining acceptance criteria early and building automated evaluation harnesses that measure correctness, groundedness, hallucination, safety, latency and task success.
• Implement observability, monitoring, cost attribution, audit trails and service-level measures so teams can detect degradation, diagnose failures and prevent regressions.
• Use engineering metrics and measurable value outcomes to guide technical investment, improve