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Pega architect

Stevenage
Akkodis
Architect
£60,000 - £100,000 a year
Posted: 21 September
Offer description

Company

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today's rapidly evolving markets.

Scope

Akkodis is establishing a pioneering IT & Digital Centre of Excellence (CoE), designed to drive transformative technology programmes across the UK. This dynamic new team will play a key role in delivering large-scale digital, cloud, software, and infrastructure projects, supporting both public and private sector clients. By leveraging cutting-edge technology, strategic partnerships, and innovative SaaS-based solutions, the CoE will enhance digital capabilities, future-proof workforces, and enable data-driven decision-making. Joining our CoE presents a unique opportunity to be at the forefront of major national initiatives, working within a high-impact, collaborative environment.

We are seeking a highly skilled Pega System Architect to join our growing team to deliver a large-scale, enterprise-grade Recruitment Platform built on Pega and hosted on AWS. As a key member of our delivery team, you will be responsible for configuring, building, and optimising Pega solutions that support seamless recruitment workflows, integrations, and user experiences. You will work closely with business architects, integration specialists, and cloud teams to ensure a scalable, high-performance, and secure solution.

Responsibilities


• Design and implement candidate journey workflows, including application, screening, interview scheduling, and hiring stages.


• Configure case types, stages, steps, SLAs, escalations, and routing rules.


• Develop and maintain decision tables, decision trees, and declarative rules for eligibility checks, notifications, and dynamic forms.


• Implement and configure Pega connectors and services to integrate with external systems.


• Work with integration teams on API and data flow integration.


• Customise Pega sections, harnesses, and screens to provide an intuitive experience for candidates, recruiters, and hiring managers.


• Design and implement reusable data pages, data transforms, and data classes to support candidate profiles, job postings, and application history.


• Apply role-based access controls, privileges, and security best practices ensuring compliance with GDPR and data protection policies.


• Tune Pega application performance, conduct performance testing, and resolve any bottlenecks to ensure scalability.


• Support unit testing, integration testing, UAT, and defect resolution.
• Provide documentation and knowledge transfer to support teams post go-live.

Required Experience


• 4+ years of experience in Pega application development, ideally in large-scale enterprise environments.


• Strong experience in case management, business rule configuration, and data modelling.


• Hands-on experience in REST/SOAP integrations and familiarity with AWS services is a plus.

Required Skills


• Pega CSA and SSA certificates required.


• Proficiency in UI customisations using Pega's UI components.


• Solid understanding of Pega security models and access control mechanisms.


• Knowledge of performance tuning techniques and debugging tools.


• Familiarity with Agile delivery methods and working within Scrum teams.


• Strong communication and collaboration skills, with the ability to work closely with cross-functional teams.

Desired Skills


• Exposure to AWS Glue, DevOps practices, or CI/CD pipelines.


• Experience with Pega's reporting capabilities and data visualisation.

Required Education

Relevant degree or equivalent professional qualification preferred.

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