Fulcrum Digital is a global AI-first enterprise transformation company with over 25 years of experience. We partner with enterprises across financial services, insurance, healthcare, retail, manufacturing, higher education, and logistics to move from AI experimentation to scalable business outcomes. Fulcrum Digital works with over 100 global clients, including Fortune 500 enterprises, combining deep industry expertise with capabilities in enterprise AI, digital engineering, cloud modernisation, platform integration, and generative AI.

The Role

This is your chance to build software that powers how the world pays. We're looking for a technically strong Senior Software Engineer to join Fulcrum Digital's engineering team on one of our top client engagements — a global leader in payments technology whose platforms help business users everywhere make faster, smarter, data-driven decisions. You'll be at the center of financial services innovation, helping reimagine how mission-critical, cloud-native systems scale to serve some of the world's biggest markets. Based in Dublin, Ireland, with a hybrid working arrangement.

You'll help shape system architecture and non-functional requirements, including scalability, performance, security, and reliability, for platforms that businesses across the globe depend on. You'll work closely with cross-functional teams to solve complex technical challenges, lead team-level design, and ship scalable services, APIs, and analytics-driven capabilities using Java, Databricks, cloud platforms, and modern data technologies. It's a small, agile, high-trust team, where every engineer owns outcomes end-to-end, from ideation through production.

Why This Role

• 
  Work on mission-critical payments infrastructure used by businesses around the world
• 
  Tackle large-scale, high-stakes financial data and analytics challenges
• 
  High-autonomy team where your technical decisions carry real weight
• 
  Grow with Fulcrum Digital's expanding footprint across Banking, Financial Services, and Insurance (BFSI)

What You'll Do

• 
  Lead team-level system design, including high-level design, detailed design, API contracts, data flows, service interactions, integration patterns, and nonfunctional requirements such as scalability, reliability, performance, security, and operability
• 
  Partner with lead engineers and architects to align team-level implementations with broader platform architecture, modernisation goals, engineering standards, and long-term maintainability
• 
  Develop and optimise data-intensive applications and analytics capabilities using Databricks, Spark, and related technologies to process and deliver data at scale
• 
  Serve as a hands-on technical contributor, designing, coding, testing, debugging, and delivering production-quality software across the full engineering lifecycle
• 
  Identify and resolve performance bottlenecks across services, APIs, data processing workloads, and user experiences
• 
  Collaborate with cross-functional teams to translate business requirements into scalable technical solutions
• 
  Mentor junior and mid-level engineers through technical guidance, pairing, code reviews, documentation, and knowledge sharing
• 
  Contribute to a collaborative engineering culture by modelling ownership, clear communication, continuous learning, pragmatic decision-making, and high standards for software quality
• 
  Improve engineering quality through code reviews, design reviews, automated testing, secure coding practices, observability, performance tuning, CI/CD practices, and production readiness
• 
  Troubleshoot complex issues across application, service, API, data, and cloud layers, driving root cause analysis and implementing durable solutions that improve platform reliability and supportability

Requirements

Requirements

• 
  Mandatory: Java, Spring Boot, RESTful APIs
• 
  6+ years of software engineering experience building scalable, distributed systems and cloud-native applications in an agile environment
• 
  Exposure to TypeScript/React, SQL, and Databricks/Spark/PySpark for data pipelines is a plus
• 
  Proven ability to lead team-level design, evaluate technical trade-offs, and translate business needs into secure, maintainable solutions
• 
  Strong collaboration, communication, and problem-solving skills, comfortable working through ambiguity
• 
  Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience