London-headquartered Cynergy Bank has taken a major step in modernising its digital banking infrastructure with a cloud-first platform designed for resilience, scalability and rapid feature delivery.
This transition highlights how quality assurance, software testing and engineering agility are increasingly core to digital resilience strategies in financial services.
Cynergy Bank, a UK specialist banking institution serving business owners, entrepreneurs, family firms and personal savers, sits at the core of this trend, as UK banks rapidly modernise legacy systems under growing regulatory and customer pressure.
In fact, Cynergy Bank’s cloud-led transformation offers a practical case study in how quality assurance, testing agility and platform resilience are becoming central to digital banking strategies.
Operating under UK rules and regulation, the bank combines relationship-led banking with a digitally focused operating model it describes as Human Digital.
Formerly Bank of Cyprus UK, Cynergy has spent recent years re-engineering its technology stack to support scalable growth while maintaining stability across core banking services.
Rebuilding the digital core
At the heart of this effort is a newly built digital banking platform designed to overcome the constraints of a traditional data-centre environment.
Legacy infrastructure had limited the number of environments available for development and testing, creating friction for engineering and QA teams looking to increase release velocity without raising risk.
“In a data center, your change agenda is constrained by the number of environments you have,” explained Rana Bhattacharya, Chief Digital and Information Officer at Cynergy Bank.
He stressed that for QA and testing teams, this limitation often translates into longer test cycles, environment contention and reduced confidence in release readiness.
Cynergy’s move to a cloud-native architecture was intended to remove those bottlenecks and support more continuous delivery practices.
By migrating to a cloud-based platform, Cynergy Bank gained the ability to provision development, test and staging environments on demand.
This elasticity is particularly significant for regulated financial services firms, where testing coverage, traceability and repeatability are essential to meeting operational resilience expectations.
After seven months of development, the bank launched its new mobile banking app, initially releasing it to a limited group of ‘friends and family’ users before a full customer rollout in May of last year.
Since launch, the platform has operated without unplanned downtime, underlining the role of cloud-native design and robust testing practices in supporting service reliability.
Engineering partnership
Further down the stack, Google Cloud played a key role in supporting both engineering and QA teams through managed infrastructure and performance-tuned services.
For Cynergy Bank, this includes container orchestration and database services configured to support fast, reliable customer interactions.
“With Google Cloud it’s not just a commercial relationship. The people at Google are experts, with firsthand experience of what we need, and we can always find the right person to talk to,” shared Brian Jobling, director of Engineering at Cynergy Bank.
He added that “we have weekly meetings when they tell us what’s new and might be of interest, which saves me a huge amount of time.”
That access to platform expertise helps testing and engineering teams stay aligned with evolving services that may affect performance, security and test automation strategies.
“Apps get positive ratings when customers can quickly get the information they need,” Jobling continued. “Google Cloud services have been configured and tuned to run fast. That, combined with AlloyDB, means customers go from initial face scan to seeing their balance in less than three seconds.”
Cynergy Bank’s cloud adoption also extends into internal risk and analytics functions. Its Financial Risk Management teams now run complex scenario analysis using containerised workloads, reducing processing times dramatically.
Faster compute enables more frequent validation cycles, supporting both business decision-making and QA assurance for systems underpinning risk and regulatory reporting.
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