Roles: java, react, python, fullstack, backend or frontend engineer´s apply by whats app: 729 5530 777 requirements and offer job education: bachelor's degree in information technologies or related engineering.
languages: high level of proficiency in english (speaking, reading, writing)" level: b2, c1, c2, fluent
modality: home office 100 %
location: mexico
workday: monday - friday
gross salary: $60,000 mxn /month
hiring: 100 % payroll
benefits: social insurance (imss), 12 vacation days per year, 15 days of christmas bonus, 25 % vacation bonus, life insurance.
plus benefits: online technical trainings and access to academies and certifications.
job stability and professional development
experience and responsibilities design, develop, and maintain advanced software systems while adhering to high standards for code quality, testing, and automation.
collaborate with cross-functional teams to deliver scalable solutions, mentor junior developers, and support devops practices, including ci/cd pipelines and cloud infrastructure.+ 7 years of hands-on experience in software development, with expertise in system design, architecture, and building enterprise-level applications.software development languages: proficiency: java (required) frameworks: spring bootengineer with strong ui experience with full stack experience.expectation is the candidates are strong on react based web ui development.
they are also open and willing to do backend development as per project needs.be an expert in frontend development, proficient in reactjs ecosystem, comfortable designing and implementing rest / graphql services on nodejs / typescript.design and develop distributed data processing pipelines in the big data ecosystem in the cloud, apply data concept, modeling, structures, and infrastructure technologies and adhere to good engineering practices.experience in developing near real-time distributed data processing solutions using kafka, flink, spark, kubernetes, airflow. Technical skills restful architecture and microservicesmessaging technologies (e.g., kafka, sqs)cloud platforms (aws preferred)kubernetes, lambda (preferred)ci/cd pipelines (e.g., gitlab ci/cd, terraform)test automation (unit, integration, regression, load)familiarity with relational databaseslogging and monitoring tools (e.g., new relic, splunk)