Roles: Java, React, Python, Fullstack, BackEnd or FrontEnd Engineer´s

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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: Until $75,000 MXN /Month (according to experience)

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

• + 10 years of hands-on experience in software development, with expertise in system design, architecture, and building enterprise-level applications.
• 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.
• Software Development Languages: Proficiency: Java (required)
• Frameworks: Spring Boot
• Engineer 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 microservices
• Messaging 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 databases
• Logging and monitoring tools (e.g., New Relic, Splunk)