Who We Are

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

We are seeking a
technically strong Senior Software
Engineer to support a client engagement
with a leading global payments
technology company. The client's team
builds industry-leading software that
empowers business users around the
world to make data-driven decisions
through advanced analytics and
experimentation, and is reimagining how
it delivers scalable, cloud-native
solutions. This role is based in
Dublin, Ireland, with a hybrid working
arrangement.

In this role, you will
help define and evolve system
architecture and non-functional
requirements, including scalability,
performance, security, and reliability.
You will work closely with
cross-functional teams to drive complex
technical solutions, lead team-level
design, and deliver scalable services,
APIs, and analytics-driven capabilities
using technologies such as Java,
Databricks, cloud platforms, and modern
data technologies. The team is small,
agile, and empowered to choose the
processes that work best for its goals,
with every engineer contributing across
the full development lifecycle, from
ideation and design through
implementation and testing.

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