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Coface

Global trade credit risk management provider

Transversal Techlead

Software EngineeringConfirmed live in the last 24 hours
Full-timeBois-Colombes, FranceNo salary listed

About the Job

Requirements

  • At least 10 years of experience.
  • Full-stack experience spanning infrastructure, data, microservices, and front-end technologies.
  • Experience designing APIs, web platforms, and mobile applications for credit, insurance, or compliance domains.
  • Experience with data strategy, integration, orchestration, and governance.
  • Experience designing and scaling data-intensive applications; B2B data-domain experience is a strong advantage.
  • Experience with rules engine design and implementation.
  • Experience with infrastructure migration and modernization from on-premises environments to cloud.
  • Experience with Agile team leadership and outsourced development coordination.
  • Experience operating in regulated environments such as financial services or insurance.
  • Experience with security architecture, compliance, and incident management.
  • Back-end technologies: Java and Spring Boot.
  • Front-end technology: Angular.
  • Databases: Oracle, PostgreSQL, Microsoft SQL Server, and Redis.
  • Authentication technology: Keycloak.
  • Cloud services: AWS.
  • Workflow orchestration: Temporal.
  • Platform experience analytics: Contentsquare.
  • Architecture components and integration patterns: REST, GraphQL, gRPC, event-driven architecture, and ESB.
  • Modeling languages: UML, ArchiMate, and C4 model.
  • Governance frameworks: ITIL, TOGAF, SAFe, or COBIT.
  • DevOps and CI/CD methodologies, including Jenkins, GitLab CI, and Azure DevOps.
  • Network and security architecture principles, including Zero Trust, WAF, and API gateways.
  • Containerization and orchestration technologies: Docker, Kubernetes, and Helm.
  • API gateways such as Spring Cloud Gateway; event-driven technologies such as Kafka and RabbitMQ; and serverless computing.
  • Observability tools such as Instana, Kibana, ELK, Prometheus, Grafana, and Datadog, or equivalent.
  • Data platforms and data-centric application design, including data lakes, data mesh, and lakehouse.
  • Strong analytical and problem-solving capabilities.
  • Ability to align IT strategy with business transformation goals.
  • Adaptability in hybrid and remote work environments.
  • Ability to coach and mentor technical teams.
  • Strong written and oral communication, including presenting architecture decisions to technical and executive audiences.
  • Fluency in written and spoken English is required.
  • A Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

Responsibilities

  • Collaborate with product teams to gather, clarify, and formalize business requirements.
  • Work with Enterprise and Data Architects to translate business problems into architectural solutions.
  • Analyze legacy systems and source code to understand current processes, data flows, and integration points.
  • Document functional needs, architecture decisions, and Architecture Decision Records (ADRs) in Confluence.
  • Conduct gap analyses between legacy systems and new business needs, identifying technical debt.
  • Design modular, scalable functional architectures and phased transition strategies.
  • Define integration points and coexistence patterns for parallel operation with legacy systems.
  • Maintain a technical debt register and propose remediation roadmaps aligned with business priorities.
  • Select appropriate technology stacks through Proofs of Concept (POCs) and benchmarks.
  • Design and implement robust, scalable technical architectures.
  • Ensure alignment between functional requirements and technical designs.
  • Conduct code reviews to enforce architectural standards and best practices.
  • Define and enforce non-functional requirements for performance, availability, resilience, scalability, and capacity planning.
  • Design for observability through structured logging, distributed tracing, monitoring, and alerting.
  • Evaluate and recommend integration patterns, including REST APIs, event-driven architecture using Kafka or RabbitMQ, ETL/ELT pipelines, iPaaS, and ESB where appropriate.
  • Contribute to AI/ML platform architecture decisions, including model serving, data pipelines, and Agentic AI workloads.
  • Define engineering standards and development practices.
  • Drive code quality initiatives and technical excellence.
  • Coach senior developers and lead developers across squads.
  • Promote software craftsmanship and engineering best practices.
  • Review critical solution designs.
  • Participate in complex troubleshooting and root-cause analysis.
  • Prototype or implement technical spikes when required and maintain hands-on knowledge of the technology stack.
  • Contribute to security architecture reviews and ensure security requirements are addressed in solution designs.
  • Participate in threat modeling exercises with Security teams.
  • Ensure solution designs align with GDPR and corporate compliance requirements.
  • Collaborate with security and compliance teams on incident management and audit readiness.
  • Design architectures that satisfy regulatory requirements specific to financial services and insurance.
  • Monitor development progress and ensure adherence to architectural guidelines.
  • Support teams in resolving technical challenges and optimizing performance.
  • Participate in Agile ceremonies, including sprint planning, architecture story refinement, and backlog grooming.
  • Manage architecture runway to ensure upcoming features have the necessary technical foundation.
  • Conduct production readiness reviews before go-live.
  • Lead post-implementation reviews to capture lessons learned and refine architecture practices.
  • Participate in and contribute to Architecture Review Boards and Architecture Design Authority Committees.
  • Maintain and enforce architecture standards, principles, and reference architectures.
  • Author and curate Architecture Decision Records to ensure transparent decision-making.

Desired Qualifications

  • Experience with AI/ML platform architecture and data pipelines for AI workloads.
  • Experience in the credit insurance or trade finance domain.
  • Familiarity with Coface's product ecosystem and competitive landscape.
  • French language ability is a plus for daily collaboration with Paris-based teams.
  • Romanian language ability is a plus for coordination with the Coface development center in Romania.
  • Agile certifications such as SAFe Architect, Scrum Master, or equivalent.
  • Cybersecurity certifications such as CISSP, CISM, or equivalent.
  • TOGAF certification.

About the Company

Coface

Global trade credit risk management provider

Coface helps businesses manage credit risk and enable trade. It provides a global suite of risk-management services, including Trade Credit Insurance, Business Information, Debt Collection, Single Risk insurance, Surety Bonds, and Factoring. Its products work by protecting sellers from non-payment, assessing buyer risk with information services, collecting overdue debts, insuring individual risks, guaranteeing obligations, and financing receivables. The company differentiates itself through its 75-year track record, global reach across about 200 markets, a full end-to-end set of trade risk solutions, and the use of technology to support trade in both domestic and export markets. Coface’s goal is to help companies navigate uncertainty and grow by enabling safe, efficient trading.”}Seconds

Company size
5,001-10,000
Company stage
IPO
Headquarters
Bois-Colombes, France
Founded
1946

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