Thrive IT Systems Ltd

Our client is looking for SAP Technical Consultant in London/Worthing. SAP Technical Consultant is responsible for designing, developing, implementing, and supporting technical components within SAP systems. They work closely with functional teams and business stakeholders to translate business requirements into robust SAP solutions using ABAP, integration tools, and related SAP technologies. Location - London or Worthing Long-term contract Required Skills & Qualifications Security Clearance which means BPSS and the higher SC level clearance S4 will be in the SAP Sovereign Cloud (SAP run and contracted, hosted by AWS Technical Skills Strong knowledge of SAP ABAP (Reports, Enhancements, OOP ABAP). Experience with SAP Fiori/UI5, CDS Views, and OData (optional but preferred). Understanding of SAP HANA database features (SQL, AMDP, performance tuning). Experience with integration technologies (IDoc, CPI, PI/PO). Knowledge of SAP modules (eg, MM, SD, FICO, PP). Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management. Ability to work in Agile/Waterfall environments. Team player with ability to guide junior developers.

Pega Lead System Architect (LSA) Netherlands 2-3 days hybrid/UK Remote Contract/Permanent Experience: 10-14 years overall; 3+ years as LSA; 2+ Pega CS end-to-end implementations Role Summary: Design Authority. Owns architecture, quality, performance, security, and DevOps; leads CoE standards and AI enablement. Key Responsibilities Own solution blueprint: case taxonomy, microjourneys, interaction flows, CSR Desktop, Knowledge, and Digital Messaging. Define non-functional requirements (scale, resiliency) and node strategy: Queue Processors vs. Job Schedulers, background processing, caching. Integration architecture: REST/JSON, SOAP (if needed), OAuth2/SAML, eventing (Kafka/JMS), idempotency, pagination, circuit breaker and retry patterns. Data design: enterprise data model, data pages (scope, refresh), reference data strategy, data obfuscation and masking for PII. UX strategy: Constellation (preferred)/Cosmos; accessibility (WCAG), localization/i18n, responsive behavior. DevOps: Deployment Manager pipelines, product packaging/versioning, branching/merge policy, automated quality gates, rollback patterns. Observability and performance: PDC operating rhythm, PAL/Alerts analysis, log correlation; performance test strategy and tuning. Security & compliance: GDPR-aligned retention/erasure, RBAC/ABAC, secrets management, auditability, encryption at rest and in transit. CoE leadership: guardrails & code review checklists, reusable components, reference architectures, developer onboarding and enablement. AI initiatives: seed NLP/Email Bot, Digital Messaging intent/sentiment, GenAI-assisted CSR (summarization, knowledge retrieval), and governance (prompt/data policies). Must-Have Skills Pega CS depth: Interaction Portal, Service Cases, Knowledge, Email Bot, Digital Messaging (eg, chat/WhatsApp) with production go-lives. Constellation experience: view templates, regions, editable tables, data-reference patterns; or strong Cosmos with migration path understanding. Integration design mastery: REST with OAuth2 (client credentials, auth code), error handling frameworks, request/response mapping, timeouts, retries, backoff. Event-driven patterns: Kafka/JMS producers/consumers, correlation IDs, exactly-once/at-least-once semantics, dead-letter handling. Performance engineering: PDC triage, PAL reading, DB indexing considerations, cache invalidation, node classification, queue throughput tuning. DevOps at scale: multi-stage pipelines in Deployment Manager, artifact versioning, approvals, infrastructure-as-code collaboration, release governance. Security engineering: Access Manager, attribute-based access control (ABAC) using Access When, field-level encryption/obfuscation, secure logging. Testing leadership: PegaUnit strategy, scenario tests, contract tests for integrations, test data management, coverage KPIs. Documentation & stakeholder management: architecture decision records (ADRs), trade-off analysis, executive communication, risk management. Nice-to-Have Customer Decision Hub (CDH) to power NBA in service context and next-best-service actions. GenAI/Agentic AI in Pega (eg, summarization, knowledge buddy/coach patterns) and NLP model tuning. Telephony/CCaaS: Genesys, Amazon Connect, Twilio, NICE; CTI handoff and screen-pop patterns. Cloud ops (Pega Cloud, AWS/Azure) and enterprise observability (Splunk/Datadog/New Relic). Travel/E-commerce domain: booking amendments, refunds/chargebacks, partner/supplier support, fraud/risk workflows. Certifications Mandatory: Pega Certified Lead System Architect (CLSA) Preferred: Pega Decisioning Consultant, badges in GenAI, Digital Messaging, PDC

We are seeking a highly experienced Genesys Cloud Architect (15+ years overall experience, with strong expertise in Genesys Cloud) to join our team. As a Genesys Cloud Architect, you will be responsible for designing, architecting, and implementing Genesys Cloud solutions based on business requirements and technical considerations. You will collaborate with stakeholders, lead implementations, oversee integrations with enterprise systems, and provide expert technical guidance. Responsibilities: Design and architect Genesys Cloud solutions aligned with business and technical needs. Collaborate with cross-functional teams (business analysts, developers, infra teams) to create robust designs. Lead the implementation and configuration of Genesys Cloud solutions following best practices. Oversee integrations with CRM platforms, contact center tools, and databases. Define and document technical specifications, workflows, and system configurations. Provide technical guidance and resolve complex issues during implementation/testing. Stay up to date with Genesys Cloud features and recommend enhancements. Conduct performance assessments, capacity planning, and security reviews. Desired Skills: 15+ years of experience, with deep expertise in Genesys Cloud architecture and implementation. Strong understanding of Customer Service Operations and Contact Centre benchmarking. Experience with Generative AI/LLM integrations. Hands-on experience with IVR, Omnichannel orchestration, Self-Service, and Routing. Expertise with Genesys tools (Administrator, Architect, Composer, Designer). Experience designing solutions for Voice and Non-Voice channels. Knowledge of cloud economics, pricing strategies, hybrid/on-prem/cloud solutions. Genesys Cloud migrations (from other contact center technologies or on-premises Genesys). Hands-on integration experience with Salesforce, Zendesk, ServiceNow, and custom apps. Exposure to Virtual Agents (Amazon Lex, Google CCAI), Knowledge Base, Caller Intent, AI integrations. Integration skills with AWS Lambda, APIs, and custom data actions.