• Develop and maintain backend systems using Go, with a focus on performance and concurrency • Build distributed, resilient applications • Work with Kubernetes-based infrastructure • Implement and evolve observability practices (tracing, metrics, and logs) • Develop and integrate APIs following security best practices • Collaborate with cross-functional teams to continuously evolve solutions • Ensure code quality, testing, and engineering best practices

Role Description You will join Scrumconnect Consulting as a Senior Java Engineer specialising in ICON IPF, working directly with major banking clients to design, build, and deliver large-scale payment modernisation programmes. This is a technically deep, hands-on role — you will be writing production Java code, configuring and extending the IPF framework, and working within cloud-native microservices architectures built on AWS. You will be embedded in client-facing delivery teams, collaborating closely with both technical engineers and non-technical banking stakeholders. Strong communication skills and the ability to translate complex payment domain concepts are as important as engineering excellence. Key Responsibilities - ICON IPF implementation: Design, configure, and extend the ICON IPF framework to meet client-specific payment processing requirements across multiple payment types and schemes. - Java microservices development: Build and maintain high-quality, production-grade Java services using Java 11 and Spring Boot within event-driven, microservices-based architectures. - ISO 20022 payments delivery: Apply deep knowledge of ISO 20022 payment standards, types, and schemes to deliver compliant, well-structured payment flows for major banking clients. - AWS cloud engineering: Build and deploy solutions within AWS cloud environments, contributing to infrastructure design, scalability, and operational reliability across the payment platform. - Kafka & async messaging: Implement and maintain Apache Kafka-based messaging patterns, ensuring high-throughput, fault-tolerant asynchronous communication across payment services. - Client engagement: Work directly with major banking clients — translating technical decisions into clear language for non-technical stakeholders and managing expectations throughout delivery. Qualifications - Minimum 3 years directly implementing ICON IPF at a major bank or financial institution. - Deep understanding of ISO 20022 payment types, schemes, and message structures. - 5–10 years Java engineering experience with Spring Boot microservices built and owned in production. - Hands-on AWS delivery across core services relevant to payment platforms. - Solid experience designing and implementing Kafka-based event streaming in high-throughput payment or financial services environments. - Proven track record working directly with tier-1 or tier-2 banks. Requirements - Java 11, Spring Boot, ICON IPF, Microservices, Apache Kafka, Async messaging, AWS (Cloud), ISO 20022, Payment schemes, CI/CD, Cloud-native architecture. Benefits - Commitment to diversity & inclusion: We actively welcome applications from women, people from ethnic minority backgrounds, disabled people, those returning after a career break, and anyone underrepresented in senior Java and payments engineering roles. - We are committed to creating an environment where everyone can do their best work. - If you have strong Java and payments foundations but don't yet have the full ICON IPF experience listed, we still encourage you to reach out. - If you need reasonable adjustments at any stage of the process, please get in touch — we are happy to accommodate.

• Develop and maintain scalable backend services using Java and Scala. • Design and implement data pipelines using Apache Spark (RDD, DataFrame, Dataset APIs). • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. • Optimize performance of data processing jobs and ensure efficient memory utilization. • Build RESTful APIs using Java frameworks like Spring Boot. • Integrate data pipelines with messaging systems such as Apache Kafka. • Write clean, modular, and testable code following best practices. • Participate in code reviews, debugging, and troubleshooting production issues. • Ensure application reliability through logging, monitoring, and alerting mechanisms. • Work in Agile/Scrum environments and contribute to sprint planning and delivery.

Role Description We are currently seeking a Senior RPA Engineer (UiPath) - LLM & Insurance Automation to join our team in Remote, México (MX-MEX), Mexico (MX). - Design, develop, and deploy end-to-end UiPath automation solutions across insurance operations. - Build Agentic AI workflows capable of autonomous decision-making in underwriting, claims adjudication, and policy processing. - Integrate LLMs (OpenAI/Azure OpenAI) into RPA solutions for: - Claims document summarization - Policy document interpretation - Risk assessment support - Customer communication automation - Implement Intelligent Document Processing (IDP) for FNOL, claims forms, medical reports, KYC, policy applications, and invoices. - Develop automation for core insurance systems (e.g., Guidewire, Duck Creek, Majesco, etc.). - Ensure compliance with insurance regulations (e.g., HIPAA, GDPR, NAIC, IRDAI, FCA depending on geography). - Build scalable RE Framework-based bots with strong exception handling and audit trails. - Lead architecture discussions and mentor junior developers. - Collaborate with underwriting, claims, actuarial, and compliance teams. Qualifications - 7+ years of hands-on experience in UiPath development. - Strong expertise in: - UiPath Studio, Orchestrator, AI Center - Document Understanding - RE Framework - API integrations - Proven experience in Insurance domain processes (Claims, Underwriting, Policy Admin). - Experience integrating Generative AI / LLMs into enterprise workflows. - Knowledge of insurance core platforms (Guidewire, Duck Creek, etc.). - Proficiency in C# / .NET. - Strong understanding of secure data handling in regulated environments. - UiPath Advanced Developer Certification (preferred). Requirements - Ability to combine RPA + AI for semi-autonomous and fully autonomous insurance workflows. Nice to have - Experience with insurance data standards (ACORD). - Knowledge of predictive analytics and actuarial data integration. - Exposure to Azure/AWS cloud environments. - Experience in process mining for insurance operations. - DevOps and CI/CD for RPA lifecycle management.