Ai-Native Backend

Are you passionate about backend engineering, API architecture, and the future of AI-native software delivery?At Qaracter, we are looking for anAI-Native Backend/API Technical Leadto join strategic technology initiatives within a leading international organization and contribute to a globalBanking-as-a-Service (BaaS)platform across Payments, Collections, and Cash Management.This role combines strong backend/API engineering expertise with the ability tosupervise and validate autonomous engineering workflows.You will work with technologies such as Java, Spring Boot, Python, Kafka, Kubernetes, and cloud platforms while leveraging AI tools such as Devin, Claude, GitHub Copilot, ChatGPT Enterprise, Azure AI, and xRay to accelerate the software delivery lifecycle.AI will support activities such as technical design, code generation, testing, documentation, code review, defect analysis, and quality assurance.As the Technical Lead, you will remain accountable for ensuring that AI-assisted outputs are technically sound, secure, tested, traceable, maintainable, and production-ready.?What Youll DoLead and supervise the end-to-end technical delivery of secure, scalable, and maintainable Backend/API capabilities.Analyze functional requirements and translate them into clear technical specifications, solution designs, implementation plans, and acceptance criteria.Design, develop, and review backend services usingJava 21+, Spring Boot 3, Python 3.11+, and FastAPIwhere appropriate.Design and document RESTful APIs usingOpenAPI 3.1and event-driven flows usingAsyncAPI.Supervise autonomous engineering workflows using tools such asDevin, Claude, GitHub Copilot, ChatGPT Enterprise, Azure AI, and xRay.Define clear technical context and agent-executable instructions to enable reliable AI-assisted implementation.Review and validate AI-generated technical designs, code, unit tests, documentation, test results, quality reports, and release-readiness evidence.Identify and challenge unclear, oversized, incomplete, or technically weak requirements before autonomous execution begins.Correct AI-generated outputs directly or through structured prompting and controlled re-execution.Ensure traceability across requirements, prompts, tasks, code changes, tests, defects, documentation, and release evidence.Design and supervise event-driven architectures usingApache Kafka, Kafka Streams, and Confluent Schema Registry.Apply secure-by-design practices usingOAuth 2.1, OpenID Connect, mTLS, JWT, Azure Key Vault, and HashiCorp Vault.Build, deploy, troubleshoot, and maintain services usingDocker, Kubernetes, GitHub Actions, and ArgoCD.Collaborate with Platform teams onTerraform and Packerinfrastructure-as-code initiatives.Ensure appropriate observability, monitoring, distributed tracing, and AIOps instrumentation using technologies such asDatadog, Dynatrace, Prometheus, and ELK.Ensure backend/API solutions meet enterprise standards for security, performance, scalability, observability, maintainability, and reliability.Support application deployment, production troubleshooting, PRE/PRO readiness, and operational handover.Collaborate with Product, Architecture, QA, Platform, Security, Infrastructure, AI Engineering, and Governance teams.Contribute to continuous improvement of AI-assisted software engineering practices and reusable agent playbooks.Ensure alignment withPSD2, GDPR, DORA, internal security standards, and enterprise AI governance.Maintain a positive, proactive, and collaborative approach within an international engineering environment.??What Were Looking ForMinimum4 years of professional experiencein Backend/API Engineering, Technical Leadership, Platform Engineering, or a similar role.Strong hands-on experience withJava 17+ / Java 21 and Spring Boot 3.Strong experience developingREST APIs, microservices, and enterprise backend services.Practical experience withPython 3.11+ and FastAPI.Strong understanding ofAPI lifecycle management, API security, API governance, and enterprise integration patterns.Experience withApache Kafka, Kafka Streams, schema registries, and event-driven architectures.Hands-on experience withPostgreSQL, Redis, and preferably DynamoDB.Experience withDocker, Kubernetes, AKS/GKE, CI/CD, and GitOps.Experience withGitHub Actions, ArgoCD, Terraform, and preferably Packer.Knowledge of API Management platforms such asApigee Hybrid and/or Azure API Management.Strong understanding ofOAuth 2.1, OIDC, JWT, mTLS, and enterprise secrets management.Experience with observability, monitoring, distributed tracing, AIOps, and static analysis.Experience with automated testing, code quality, security scanning, defect analysis, and release-readiness processes.Experience supervising, reviewing, or quality-assuringAI-assisted software engineering outputs.Comfortable working with autonomous engineering tools such asDevin, Claude, GitHub Copilot, ChatGPT Enterprise, Azure AI, or similar.Ability to create clear technical instructions, prompts, implementation context, acceptance criteria, and validation criteria for AI-assisted workflows.Experience working inPayments, Banking-as-a-Service, Collections, Cash Management, or financial servicesis strongly preferred.Experience working in regulated environments withGDPR, PSD2, DORA, or equivalent frameworks.Strong analytical and problem-solving skills, with the ability to identify weaknesses in AI-generated designs, code, tests, and documentation.Strong communication and collaboration skills.English and Spanish: professional working proficiency.?Nice to HaveExperience withRAG architectures, vector databases, semantic caching, LangChain, LangGraph, or equivalent frameworks.Experience withLLMOps, prompt engineering, AI-assisted SDLC, and enterprise AI governance.Experience withConfluent Platform and schema evolution governance.Experience with service mesh technologies such asIstio or Linkerd.Experience with automated code review, AI-generated testing, test result validation, and defect triage.Experience creating reusableAI agent playbooks, prompt-driven automations, and scheduled agent workflows.Experience supportingPRE/PRO readiness, production deployment, and operational handover.Experience mentoring engineers inAI-assisted development practices.Experience working with large-scale enterprise or international technology environments.Experience within Agile/Scrum engineering teams.?What We OfferOpportunity to work on challengingBackend/API and AI-native engineering initiativeswith high business impact.Opportunity to contribute to a globalBaaS platformacross Payments, Collections, and Cash Management.Exposure to modern backend technologies, cloud platforms, event-driven architectures, and autonomous engineering tools.Opportunity to shape and improveAI-assisted software delivery practiceswithin an enterprise environment.Collaborative and international engineering environment.Long-term project opportunities with continuous learning and professional development.Remote work opportunity from Spain.Competitive compensation package.?About QaracterQaracter is an international consulting firm providing business, financial, risk, technology, and operations advisory services.We combine deep industry knowledge with hands-on execution to deliver real impact.With presence in Spain, Argentina, Mexico, Brazil, and the United States, and activity across Europe and the UK, we partner with top-tier organizations on complex transformation initiatives.?Equal Opportunity StatementAt QARACTER Group, we are committed to ensuring equal opportunities and non-discrimination in all our processes, promoting an inclusive and diverse work environment.All applications are welcome regardless of sex, gender, gender identity or expression, sexual orientation, origin, ethnicity, age, disability, or any other personal or social condition, in line with our Equal Opportunity Plan and our commitment to equity.

Minimum4 years of professional experiencein Backend/API Engineering, Technical Leadership, Platform Engineering, or a similar role. Strong hands-on experience withJava 17+ / Java 21 and Spring Boot 3. Strong experience developingREST APIs, microservices, and enterprise backend services. Practical experience withPython 3.11+ and FastAPI. Strong understanding ofAPI lifecycle management, API security, API governance, and enterprise integration patterns. Experience withApache Kafka, Kafka Streams, schema registries, and event-driven architectures. Hands-on experience withPostgreSQL, Redis, and preferably DynamoDB. Experience withDocker, Kubernetes, AKS/GKE, CI/CD, and GitOps. Experience withGitHub Actions, ArgoCD, Terraform, and preferably Packer. Knowledge of API Management platforms such asApigee Hybrid and/or Azure API Management. Strong understanding ofOAuth 2.1, OIDC, JWT, mTLS, and enterprise secrets management. Experience with observability, monitoring, distributed tracing, AIOps, and static analysis. Experience with automated testing, code quality, security scanning, defect analysis, and release-readiness processes. Experience supervising, reviewing, or quality-assuringAI-assisted software engineering outputs. Comfortable working with autonomous engineering tools such asDevin, Claude, GitHub Copilot, ChatGPT Enterprise, Azure AI, or similar. Ability to create clear technical instructions, prompts, implementation context, acceptance criteria, and validation criteria for AI-assisted workflows. Experience working inPayments, Banking-as-a-Service, Collections, Cash Management, or financial servicesis strongly preferred. Experience working in regulated environments withGDPR, PSD2, DORA, or equivalent frameworks. Strong analytical and problem-solving skills, with the ability to identify weaknesses in AI-generated designs, code, tests, and documentation. Strong communication and collaboration skills. English and Spanish: professional working proficiency. ?Nice to Have Experience withRAG architectures, vector databases, semantic caching, LangChain, LangGraph, or equivalent frameworks. Experience withLLMOps, prompt engineering, AI-assisted SDLC, and enterprise AI governance. Experience withConfluent Platform and schema evolution governance. Experience with service mesh technologies such asIstio or Linkerd. Experience with automated code review, AI-generated testing, test result validation, and defect triage. Experience creating reusableAI agent playbooks, prompt-driven automations, and scheduled agent workflows. Experience supportingPRE/PRO readiness, production deployment, and operational handover. Experience mentoring engineers inAI-assisted development practices. Experience working with large-scale enterprise or international technology environments. Experience within Agile/Scrum engineering teams.

Opportunity to work on challengingBackend/API and AI-native engineering initiativeswith high business impact. Opportunity to contribute to a globalBaaS platformacross Payments, Collections, and Cash Management. Exposure to modern backend technologies, cloud platforms, event-driven architectures, and autonomous engineering tools. Opportunity to shape and improveAI-assisted software delivery practiceswithin an enterprise environment. Collaborative and international engineering environment. Long-term project opportunities with continuous learning and professional development. Remote work opportunity from Spain. Competitive compensation package. ?About Qaracter Qaracter is an international consulting firm providing business, financial, risk, technology, and operations advisory services. We combine deep industry knowledge with hands-on execution to deliver real impact. With presence in Spain, Argentina, Mexico, Brazil, and the United States, and activity across Europe and the UK, we partner with top-tier organizations on complex transformation initiatives. ?Equal Opportunity Statement At QARACTER Group, we are committed to ensuring equal opportunities and non-discrimination in all our processes, promoting an inclusive and diverse work environment. All applications are welcome regardless of sex, gender, gender identity or expression, sexual orientation, origin, ethnicity, age, disability, or any other personal or social condition, in line with our Equal Opportunity Plan and our commitment to equity.