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Real-Time Platform Engineering & DevOps Capability Build

2nd March 2026 ·

Albany Beck partnered with a global financial technology provider to strengthen internal engineering capability across its real-time applications estate. As product demand increased and release cycles accelerated, the organisation required embedded product, DevOps and delivery expertise to scale platform maturity without compromising resilience. By deploying product-aligned engineers, DevOps specialists, Business Analysts and senior delivery leads, Albany Beck enhanced CI/CD capability, strengthened release governance and increased development velocity within mission-critical real-time systems.​

Challenge

Rapid product growth across real-time market applications had created delivery strain within dedicated technology functions. Release cycles were inconsistent, DevOps practices varied across squads, and technical debt risked slowing product innovation. The organisation needed to increase engineering throughput while improving automation, release control and cross-functional coordination between product, development and infrastructure teams.​

Approach

Albany Beck deployed a focused delivery team comprising a Solution Architect, a Senior Business Analyst, two Integration/Full-Stack Engineers and a Programme Lead.

  • The Architect and BA defined integration patterns, data flows and security requirements across the client estate, translating business needs into structured configuration and build backlogs.
  • Engineers worked directly with client technical teams to design API connectivity, environment setup and deployment sequencing, while the Programme Lead coordinated milestones, risks and stakeholder alignment.​

Solution

The engineering team configured the platform within client environments, developing targeted integrations and implementing API-based data exchanges to enable secure workflow connectivity across upstream and downstream systems. Where required, configuration adjustments were delivered to align with client-specific data models and operational processes. Environment strategy and release sequencing were formalised to reduce deployment risk, with structured SIT and UAT cycles coordinated across vendor and client teams. Cutover planning, rollback controls and post-go-live monitoring were embedded to ensure stable transition into BAU, supported by knowledge transfer to internal support teams for sustainable ownership.​

Outcomes

The implementation was delivered on time with reduced integration risk and stable go-live performance. Workflow connectivity improved and manual intervention reduced, while the technology provider strengthened its ability to scale future client deployments through clearer governance and repeatable delivery frameworks.​