Enroute

• Responsible for developing robust data pipelines. • Ensuring data quality and reliability. • Enabling efficient data consumption across the organization. • Collaborate closely with cross-functional teams including Product, Engineering, Analytics, and Business stakeholders. • Deliver high-impact data platforms.

Role Description We are seeking a data-driven Ai Engineer to join our team at a high-growth advertising technology company. This role focuses on scaling our reporting infrastructure for advertising performance and billing reconciliation, ensuring that financial and operational data is accurate, automated, and actionable. - Develop robust data pipelines. - Ensure data quality and reliability. - Enable efficient data consumption across the organization. - Collaborate closely with cross-functional teams including Product, Engineering, Analytics, and Business stakeholders to deliver high-impact data platforms. The ideal candidate is a proactive problem-solver with strong technical expertise, capable of working with large datasets, modern data architectures, and cloud-based environments. You thrive in fast-paced settings, navigate ambiguity with confidence, and are passionate about turning data into actionable value. Qualifications - Strong experience with TypeScript across both frontend and backend environments. - Solid experience with Node.js and preferably NestJS. - Experience with modern frontend frameworks (React preferred; Angular or Vue also considered). - Proficiency with HTML and CSS. - Experience working with SQL-based databases (PostgreSQL, MySQL, SQL Server, Oracle, etc.). - Experience building and consuming GraphQL and REST APIs. - Strong understanding of unit testing and Test-Driven Development (TDD). - Experience implementing service-oriented or microservices-based systems. - Proficiency with Git and modern version control workflows. - Hands-on experience with AWS services. - Familiarity with Agile methodologies such as Scrum or Kanban. - Advanced English Level. Benefits - Monetary compensation. - Year-end Bonus. - IMSS, AFORE, INFONAVIT. - Major Medical Expenses Insurance. - Life Insurance. - Funeral Expenses Coverage. - TDU Membership. - MediAccess. - Health Check-Up Subsidy. - Preferential rates for car insurance. - Vacations. - Official Mexican Holidays. - Life Happens Days. - Bereavement Leave. - Civil Marriage Leave. - English Classes. - Certifications. - Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS). - Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf). - Taquitos Rewards. - Birthday Bonus. - Work-from-home Bonus. - Laptop Policy. Equal Employment Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Role Description We are seeking a problem-solving QA Automation/Software Development Engineer in Test (SDET) to join the tech team, with a primary focus on payroll integrations. This agile role revolves around improving software quality through coding. The engineer will be responsible for: - Testing integrations with external third parties - Building comprehensive integration tests - Developing mock services for APIs Collaboration is key, as this role works closely with the tech lead and product managers to define acceptance criteria and implement new test scenarios within a Docker and Jenkins-based QA infrastructure. Qualifications - 5+ years of software testing experience in an automated environment - Strong coding experience in Python (Strict core requirement) - Proven experience testing APIs and building integration tests with external/third-party systems - Hands-on experience building and maintaining mock services for APIs - Ability to write automated tests directly from acceptance criteria - Understanding of build automation, application deployment, and CI pipelines (Docker, Jenkins) - Experience with SQL databases and advanced RESTful APIs Requirements - Strong problem-solving abilities and a passion for learning new things - Enthusiasm for driving product quality through test automation Benefits - Monetary compensation - Year-end Bonus - IMSS, AFORE, INFONAVIT - Major Medical Expenses Insurance - Life Insurance - Funeral Expenses Coverage - TDU Membership - MediAccess - Health Check-Up Subsidy - Preferential rates for car insurance - Vacations - Official Mexican Holidays - Life Happens Days - Bereavement Leave - Civil Marriage Leave - English Classes - Certifications - Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS) - Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf) - Taquitos Rewards - Birthday Bonus - Work-from-home Bonus - Laptop Policy

• Architect AI Agents: Build and deploy agents that can perform NLP-based data generation, automated data enrichment, and complex data reasoning within Databricks. • Natural Language Interfaces: Develop "Chat with your Data" features, allowing stakeholders to query the data warehouse using natural language. • Integrate LLMs into data workflows for automation and intelligence • Develop scalable data models to support analytics and AI use cases • Implement AI-driven enhancements such as anomaly detection and data enrichment • Collaborate with data, analytics, and engineering teams to improve data reliability • Optimize performance and scalability of data and AI workflows • Support automation through CI/CD practices • Ensure data quality, traceability, and maintainability across pipelines

Role Description We are seeking a data-driven Ai Engineer to join our team at a high-growth advertising technology company. This role focuses on scaling our reporting infrastructure for advertising performance and billing reconciliation, ensuring that financial and operational data is accurate, automated, and actionable. - Develop robust data pipelines, ensuring data quality and reliability. - Enable efficient data consumption across the organization. - Collaborate closely with cross-functional teams including Product, Engineering, Analytics, and Business stakeholders to deliver high-impact data platforms. The ideal candidate is a proactive problem-solver with strong technical expertise, capable of working with large datasets, modern data architectures, and cloud-based environments. You thrive in fast-paced settings, navigate ambiguity with confidence, and are passionate about turning data into actionable value. Qualifications - Strong experience working with Databricks Lakehouse architecture (Must-Have). - Nice to have expertise in Databricks Mosaic AI and Unity Catalog for governing AI assets. - Hands-on experience building RAG (Retrieval-Augmented Generation) pipelines using Vector Search. - Advanced SQL development (Must-Have). - Experience integrating LLM APIs (OpenAI, Anthropic, etc.) into data workflows (Must-Have). - Hands-on experience using AI for: - Data enrichment. - Anomaly detection. - Automated classification. - Experience with LangChain, LlamaIndex, or similar frameworks. - Exposure to Model Context Protocol (MCP) or similar approaches to connect AI models with external tools and data sources. - Strong understanding of Tool Calling / Function Calling: enabling LLMs to interact with SQL databases and external APIs securely. - Experience in Prompt Engineering and Guardrailing: designing system prompts that maintain context and hierarchy. - Experience with GitHub workflows (Nice-to-Have / Medium). - Familiarity with CI/CD pipelines (Jenkins or similar). - Experience working with YAML/YML configuration files. Requirements - Architect AI Agents: Build and deploy agents that can perform NLP-based data generation, automated data enrichment, and complex data reasoning within Databricks. - Natural Language Interfaces: Develop "Chat with your Data" features, allowing stakeholders to query the data warehouse using natural language. - Integrate LLMs into data workflows for automation and intelligence. - Develop scalable data models to support analytics and AI use cases. - Implement AI-driven enhancements such as anomaly detection and data enrichment. - Collaborate with data, analytics, and engineering teams to improve data reliability. - Optimize performance and scalability of data and AI workflows. - Support automation through CI/CD practices. - Ensure data quality, traceability, and maintainability across pipelines. Benefits - Monetary compensation. - Year-end Bonus. - IMSS, AFORE, INFONAVIT. - Major Medical Expenses Insurance. - Life Insurance. - Funeral Expenses Coverage. - TDU Membership. - MediAccess. - Health Check-Up Subsidy. - Preferential rates for car insurance. - Vacations. - Official Mexican Holidays. - Life Happens Days. - Bereavement Leave. - Civil Marriage Leave. - English Classes. - Certifications. - Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS). - Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf). - Taquitos Rewards. - Birthday Bonus. - Work-from-home Bonus. - Laptop Policy. Company Description Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

• Play a critical role in migrating insurance policy data from administration systems to a modern policy administration platform. • Perform analysis-first role with a data engineering component. • Deep-dive into data, trace and reconcile information across multiple data layers (databases and files). • Build mappings and transformations that move legacy data into the target format. • Resolve data quality issues to deliver validated loads. • Utilize strong, hands-on command of SQL for analysis, tracing, and transforming data. • Use AI tooling to accelerate work processes. • Receive mentorship from an experienced conversion manager. • Work through entire data migration lifecycle, from initial discovery through production cutover. • Support iterative delivery cycles with effective communication.

Role Description At Enroute, we are looking for a Data Engineer - Data Conversions to join a high-impact engineering team. As a Data Engineer on the Conversions team, this person will play a critical role in migrating insurance policy data from administration systems to a modern policy administration platform. This is an analysis-first role with a data engineering component: - Deep-dive into data, trace and reconcile information across multiple data layers (databases and files). - Build the mappings and transformations that move legacy data into the target format. - Resolve data quality issues to deliver validated loads. Strong, hands-on command of SQL as a language is essential, and the role makes heavy, daily use of AI tooling to accelerate that work. The position offers direct mentorship from an experienced conversion manager and exposure to the full data migration lifecycle, from initial discovery through production cutover. It requires technical fluency combined with effective communication to support iterative delivery cycles, and it suits someone adaptable who is eager to learn the team's conversion methodology. Qualifications - Strong, hands-on command of SQL as a language (the core skill for this role). - Proficiency in SQL Server: queries, views, stored procedures, CTEs, window functions. - ETL (Extract, Transform, Load) processes. - Building source-to-target data mappings and transformation logic. - Data validation and data cleansing practices. - Cloud database experience — AWS: RDS, S3, Secrets Manager. - Proficiency in Excel for data analysis and legacy data review. - GitHub / version control. - Project management software (e.g., Jira). - Agile methodologies (e.g., Kanban, Scrum). - Secure handling of sensitive financial data and personally identifiable information (PII). - Experience using AI coding assistants (Claude, GitHub Copilot, or similar) for development workflows, prompt engineering, and automated analysis. Requirements - Prior data migration / conversion project experience (highly preferred). - Experience with policy administration systems (highly preferred). - Experience in the insurance / financial industry (highly preferred). Soft Skills / Competencies - Excellent communication and interpersonal skills; able to convey complex technical concepts to non-technical stakeholders. - Strong problem-solving abilities and analytical thinking. - Self-directed learner who thrives with mentorship. - Coachable, adaptable, and team-first; values flexibility and willingness to learn over tenure. - Ability to work on multiple projects simultaneously while ensuring high-quality delivery. - Strong attention to detail, focused on accurate and validated data. Benefits - Monetary compensation. - Year-end Bonus. - IMSS, AFORE, INFONAVIT. - Major Medical Expenses Insurance. - Life Insurance. - Funeral Expenses Coverage. - TDU Membership. - MediAccess. - Health Check-Up Subsidy. - Preferential rates for car insurance. - Vacations. - Official Mexican Holidays. - Life Happens Days. - Bereavement Leave. - Civil Marriage Leave. - English Classes. - Certifications. - Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS). - Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf). - Taquitos Rewards. - Birthday Bonus. - Work-from-home Bonus. - Laptop Policy.

• Design, develop, and maintain secure, scalable serverless integration solutions using AWS services. • Build and support cloud-native integrations between enterprise SaaS platforms, third-party vendors, and internal business systems. • Develop and secure REST APIs using AWS API Gateway and industry-standard authentication protocols. • Implement solutions using AWS services including Lambda, Step Functions, EventBridge, DynamoDB, S3, and AWS CDK. • Ensure solutions follow AWS security best practices, including IAM, KMS, Secrets Manager, CloudTrail, OAuth 2.0, OpenID Connect, and SAML. • Troubleshoot complex production issues, perform root cause analysis, and implement long-term solutions. • Write clean, maintainable, well-tested code following SDLC best practices and Kanban workflows. • Collaborate with Product Managers, Software Engineers, Architects, vendors, and business stakeholders to deliver high-quality integration solutions. • Mentor junior developers by providing technical guidance, code reviews, and development best practices. • Participate in architecture discussions and recommend improvements to system design, performance, security, and scalability. • Continuously evaluate and adopt modern AWS services, development tools, and AI-assisted technologies to improve engineering productivity. • Communicate project progress, technical risks, and key milestones to internal teams and leadership.

Role Description We are seeking a QA Automation Lead with strong experience in designing, developing, and maintaining automated testing frameworks. The ideal candidate will lead automation initiatives, establish best practices, and ensure continuous quality across multiple projects in close collaboration with development and QA teams. - Design, develop, and maintain scalable UI and API automated test suites. - Build and enhance automation frameworks using Playwright. - Collaborate with developers to fix bugs. - Analyze functional requirements and identify automation opportunities. - Develop automated regression, smoke, integration, and end-to-end tests. - Execute API automation using Postman or similar tools. - Collaborate closely with developers, QA engineers, and product teams throughout the SDLC. - Troubleshoot test failures and improve automation reliability. - Integrate automated tests into CI/CD pipelines. - Participate in sprint planning, backlog refinement, and Agile ceremonies. - Continuously improve test coverage, framework maintainability, and execution performance. Benefits - Monetary compensation - Year-end Bonus - IMSS, AFORE, INFONAVIT - Major Medical Expenses Insurance - Life Insurance - Funeral Expenses Coverage - TDU Membership - MediAccess - Health Check-Up Subsidy - Preferential rates for car insurance - Vacations - Official Mexican Holidays - Life Happens Days - Bereavement Leave - Civil Marriage Leave - English Classes - Certifications - Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS) - Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf) - Taquitos Rewards - Birthday Bonus - Work-from-home Bonus - Laptop Policy Company Description We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn. We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us.

Role Description We are looking for a Senior AWS Integration Engineer to design, develop, and maintain secure, scalable serverless integration solutions connecting enterprise SaaS platforms, third-party vendors, and internal business systems. - Leverage AWS services such as Lambda, API Gateway, Step Functions, EventBridge, DynamoDB, and AWS CDK to build cloud-native integrations that are reliable, secure, and highly maintainable. Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. - 3–6 years of hands-on experience developing cloud integrations with a strong focus on AWS. - Strong experience designing and building serverless applications using AWS Lambda, API Gateway, Step Functions, EventBridge, and AWS CDK. - Advanced programming experience in Python, C#, or Java. - Experience developing and securing REST APIs. - Strong understanding of AWS security best practices, including IAM, KMS, Secrets Manager, CloudTrail, and authentication protocols such as OAuth 2.0, OpenID Connect, and SAML. - Experience working with GitHub Actions or similar CI/CD tools. - Experience working with JSON and XML. - Solid understanding of the Software Development Life Cycle (SDLC) and experience working in Kanban environments. - Strong analytical, troubleshooting, and problem-solving skills. - Excellent communication skills and the ability to collaborate with cross-functional teams. - Experience mentoring or supporting junior developers. Requirements - Experience in the Insurance or Financial Services industry. - Experience with CloudFormation or other Infrastructure as Code (IaC) tools. - Experience with alternative CI/CD platforms such as AWS CodePipeline, CodeBuild, GitLab CI, Azure DevOps, or CircleCI. - Familiarity with Amazon Bedrock, Claude, GitHub Copilot, or other AI-assisted development tools. - Experience working in fast-paced, high-delivery environments. Responsibilities - Design, develop, and maintain secure, scalable serverless integration solutions using AWS services. - Build and support cloud-native integrations between enterprise SaaS platforms, third-party vendors, and internal business systems. - Develop and secure REST APIs using AWS API Gateway and industry-standard authentication protocols. - Implement solutions using AWS services including Lambda, Step Functions, EventBridge, DynamoDB, S3, and AWS CDK. - Ensure solutions follow AWS security best practices, including IAM, KMS, Secrets Manager, CloudTrail, OAuth 2.0, OpenID Connect, and SAML. - Troubleshoot complex production issues, perform root cause analysis, and implement long-term solutions. - Write clean, maintainable, well-tested code following SDLC best practices and Kanban workflows. - Collaborate with Product Managers, Software Engineers, Architects, vendors, and business stakeholders to deliver high-quality integration solutions. - Mentor junior developers by providing technical guidance, code reviews, and development best practices. - Participate in architecture discussions and recommend improvements to system design, performance, security, and scalability. - Continuously evaluate and adopt modern AWS services, development tools, and AI-assisted technologies to improve engineering productivity. - Communicate project progress, technical risks, and key milestones to internal teams and leadership. Benefits - Monetary compensation - Year-end Bonus - IMSS, AFORE, INFONAVIT - Major Medical Expenses Insurance - Life Insurance - Funeral Expenses Coverage - TDU Membership - MediAccess - Health Check-Up Subsidy - Preferential rates for car insurance - Vacations - Official Mexican Holidays - Life Happens Days - Bereavement Leave - Civil Marriage Leave - English Classes - Certifications - Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS) - Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf) - Taquitos Rewards - Birthday Bonus - Work-from-home Bonus - Laptop Policy Equal Employment Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.