Job Summary As a Full Stack Engineer, you will design, build, test, and enhance cloud-native applications that support the R&D; organization. Working at the intersection of science and technology, you will collaborate with product owners, data experts, and engineering teams to deliver reliable, high-quality solutions that enable data-driven decision-making.
This role combines full-stack development, cloud engineering, and system design. You will contribute to architecture and engineering practices while building your technical depth and taking ownership of assigned features from development through deployment.
Responsibilities Engineering & Development Design, develop, test, and maintain cloud-native applications across front-end and back-end systems

Build and enhance services within modern microservice-based and distributed architectures

Develop and integrate RESTful APIs and system interfaces for enterprise platforms

Contribute to infrastructure-as-code solutions and cloud environment configuration

Build, use, and improve CI/CD pipelines for automated deployment and delivery

Architecture & Design Contribute to technical design, system architecture, and engineering standards under the guidance of senior engineers

Create and maintain technical documentation, including Low-Level Designs, Entity-Relationship diagrams, and component or class diagrams

Work with stakeholders and senior team members to translate business requirements into effective technical solutions

Quality & Reliability Develop and maintain automated tests, including unit, integration, and end-to-end tests





Monitor applications and troubleshoot production issues related to performance and reliability

Follow security, compliance, and operational standards throughout the software development lifecycle

Collaboration & Delivery Work closely with product managers, data subject-matter experts, and cross-functional teams

Participate in Agile development activities, including sprint planning, code reviews, demonstrations, and retrospectives

Collaborate with general teams and vendors to deliver assigned features and technical solutions

Communicate progress, risks, and technical considerations clearly to team members and stakeholders

Data & Platform Integration Integrate applications with enterprise R&D; systems and scientific data platforms

Support data ingestion, transformation, access, and application integration

Contribute to system interoperability using data models, metadata standards, and enterprise integration patterns

Continuous Improvement & Growth Contribute ideas that improve development processes, tools, code quality, and maintainability

Help identify and reduce technical debt

Use AI-assisted development tools responsibly to improve productivity and software quality

Build knowledge of cloud-native engineering, R&D; platforms, and relevant business domains





Ownership Take ownership of assigned features and components from development through deployment and support

Seek guidance when needed and incorporate feedback from code reviews and technical discussions

Investigate technical issues, propose solutions, and elevate complex design decisions appropriately

Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
2+ years of software engineering or application development experience
Technical Skills Experience with Python

Experience with JavaScript

Experience developing front-end and back-end application components

Experience with the React JavaScript framework

Foundational hands-on experience with AWS cloud services, such as EC2, RDS, or S3

Familiarity with infrastructure-as-code concepts and tools such as Terraform

Understanding of microservices, cloud-native design, and REST API development

Data & Systems Experience working with relational databases, such as Oracle, PostgreSQL, or MySQL

Familiarity with NoSQL databases, such as DynamoDB or Neptune

Basic knowledge of data pipelines or data-processing platforms, such as Spark or Databricks

Understanding of system design fundamentals and data modeling

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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📌 Python Full Stack Engineer (Nezahualcóyotl)
🏢 Cognizant
📍 Nezahualcóyotl