Role Description A leading technology company in Mexico is looking for a highly skilled Platform Fullstack Software Engineer to join the team. - Define, design, and maintain the services platform, ensuring its scalability, resilience, and performance. - Develop and expose high-performance REST and GraphQL APIs for critical applications and asynchronous messaging (e.g., Kafka, RabbitMQ, MKS). - Collaborate in the definition of distributed, event-driven, and decoupled architectures, applying Clean Architecture and DDD principles. - Participate in the development of automation and monitoring tools, including infrastructure as code, dashboards, and alerting. - Ensure best practices for security, versioning, and continuous deployment (CI/CD). - Optimize infrastructure utilizing AWS services such as API Gateway, ELB, ECS, and CloudWatch. - Collaborate closely with development, product, and operations teams to deliver robust solutions in production. Qualifications - Solid backend development experience with Java, Python, and/or Golang (Java is highly desirable). - Front-end development experience using frameworks like Next.js (React) or Vue.js. - Proven experience in designing, developing, and maintaining high-transactionality and high-availability systems managing millions of transactions per month. - Strong experience in creating and consuming RESTful and GraphQL APIs. - Advanced knowledge of AWS services, including API Gateway, ALB/NLB, ECS, SQS, and CloudWatch. - Hands-on experience designing and implementing microservices and event-driven architectures. - Experience with containerization and orchestration tools like Docker and Kubernetes. - Familiarity with asynchronous messaging systems (RabbitMQ, Kafka, MKS). - Proficiency in CI/CD pipelines and version control with Git, ideally using Azure DevOps. - Location/Format: Remote from Mexico or Hybrid (CDMX / Guadalajara). Requirements - Strong command of SQL databases (PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Redis). - Deep understanding of API security patterns, including OAuth 2.0 and JWT. - Proficiency in unit and integration testing. - Familiarity with Domain-Driven Design (DDD) and Clean Code best practices. - Knowledge of observability and monitoring tools such as Prometheus, Grafana, or Datadog. Benefits - AWS Certifications (Solutions Architect, DevOps Engineer, or similar). - Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. - Experience with code quality tools such as SonarQube, code coverage analysis, and code smell detection. - Familiarity with cloud services like API Management and AWS Lambda. - Knowledge of advanced communication protocols like gRPC or WebSockets.

Role Description We are hiring experienced Platform Site Reliability Engineers to build internal platform services that improve developer productivity, deployment automation, CI/CD workflows, and platform reliability. This position is ideal for engineers who enjoy building reusable platform capabilities rather than supporting individual applications. - Develop platform APIs and shared services - Improve deployment automation - Build reusable CI/CD components - Develop Infrastructure as Code - Improve service onboarding - Build automation using Python or Go - Improve platform reliability and operational excellence - Collaborate across engineering teams Qualifications - Platform Engineering, Kubernetes, Terraform - CI/CD, GitHub Actions, Jenkins - Python, Go, Linux, AWS Requirements - Platform APIs, GitOps, ArgoCD - FedRAMP, DevSecOps Benefits - 401(k) Company Description This is a remote position.

• Partner with engineering leadership to evolve and standardize the foundational architecture for a cloud-native, event-driven telecom platform — identifying areas for improvement and driving safe, incremental modernization alongside active development • Own developer experience: build tooling, CI pipeline performance, dependency management, and inner-source contribution models across a shared monorepo • Govern shared UI component standards and design system practices used across teams • Establish and maintain engineering standards: RFCs, ADRs, architecture reviews • Partner closely with Operations and SRE to define observability standards (tracing, logging, metrics), SLO/SLI frameworks, and reliability practices • Champion AI-first development practices across tooling, workflows, and culture • Manage and develop a small, established team of senior engineers

• Design, build, deploy, and maintain highly resilient and scalable systems that are critical to our customers’ success • Lead complex projects that span multiple teams to improve functionality and reliability for our customers • Design solutions that anticipate and accommodate future needs while considering tradeoffs • Effectively communicate technical direction, guide our team through execution while driving team quality practices • Act as a force multiplier in improving engineering productivity • Diagnose performance bottlenecks and implement optimizations