Senior Software Engineer
About this role
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Senior Software Engineer
Location: London, UK (Canary Wharf)
Duration: Sep 2026 – June 2027
On-site Expectation: Up to 5 days per week in office
Brief about the Team & Fractal:
Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics, and technology to drive smarter, faster and more accurate decisions in every aspect of their business.
Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation, and impact to them through predictive analytics and visual storytelling.
Role Details:
We are seeking a Senior Software Engineer with deep expertise in Java/Kotlin, cloud-native development, and distributed systems to design, build, and support scalable production banking and financial services systems. The ideal candidate will combine strong technical leadership with hands-on engineering excellence and a proven ability to deliver scalable, resilient, and contributing across the full software development lifecycle.
Domain Experience:
Banking, payments, fintech, or financial services experience.
Exposure to mission-critical, high-scale production systems, and payment network integrations.
Experience building customer-facing platforms and transaction processing solutions.
Understanding of security, compliance, resiliency, and operational risk requirements.
Roles and Responsibilities:
Design, develop, and support scalable backend services, APIs, and cloud-native microservices.
Build distributed and event-driven systems using messaging and asynchronous processing patterns.
Drive engineering excellence through architecture, coding standards, testing, and automation.
Support production systems, incident management, troubleshooting, and operational resilience.
Balance long-term architecture goals with short-term delivery priorities.
Collaborate across engineering teams, product owners, architects, and business stakeholders.
Mentor engineers, foster knowledge sharing, and shape technical direction.
Promote responsible adoption of AI-assisted software development practices.
Ensure engineering output meets stakeholder expectations, security, resiliency and compliance standards.
Technical Skills:
Strong hands-on experience with Java and/or Kotlin.
Expertise in REST APIs, microservices, and distributed systems.
Experience with AWS/multi-cloud cloud-native environments.
Hands-on experience with messaging frameworks and event-driven architectures.
Strong understanding of relational databases and data architecture patterns.
Experience with CI/CD, DevOps, automation, and modern software delivery practices.
Strong testing capabilities across Unit, Component, Integration, End-to-End, and Performance Testing.
Familiarity with JVM ecosystem technologies, open-source frameworks, and production support.
Non-Technical Skills:
Strong leadership, ownership, and problem-solving mindset.
Ability to thrive in ambiguous and rapidly changing environments.
Excellent stakeholder management, communication, and collaboration skills.
Proven ability to influence engineering practices beyond immediate teams.
Experience coaching and developing engineers while driving continuous improvement.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Company at a glance
Fractal is a publicly listed global enterprise AI company with a vision to power every human decision in the enterprise. With a workforce of over 5,000 professionals across North America, EMEA, and Asia-Pacific, Fractal partners with Fortune 500® companies to embed AI into critical business decisions across growth, supply chains, pricing, and customer experience.
Committed to sustained innovation, Fractal invests more than 5% of its annual revenue in AI research and development, supporting foundational AI research, product development, and IP creation that address both immediate client needs and long-term technological advancement.
For more information, visit https://fractal.ai/?utm_source=linkedin&utm_medium=coverpic&utm_campaign=socialmedia
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