Full Stack Software Engineer (Ciudad de México)

Full Stack Software Engineer (Ciudad de México)

30 ago
|
Agileengine
|
Ciudad de México

30 ago

Agileengine

Ciudad de México

Job Description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Full Stack Software Engineer to build and maintain web applications for a tax research and workpapers platform. The role spans front-end development in React and back-end services in Node.js, C#, and Python, with data managed across PostgreSQL and DynamoDB. This is a short-term contract running through December 31, spanning the full AWS cloud stack.

WHAT YOU WILL DO
- Design, develop, and maintain web applications using ReactJS for the front end.
- Build scalable and reliable back-end services using Node.js, C#, and Python.
- Optimize and manage data persistence layers with PostgreSQL and AWS DynamoDB.
- Deploy, monitor, and maintain cloud infrastructure on AWS, utilizing services such as SQS, Lambda, ECS, CloudFront, ALB, and EventBridge.
- Implement Infrastructure as Code (IaC) using Terraform and manage continuous integration and deployment workflows via GitLab CI/CD.
- Write robust automated tests with Jest and Playwright to ensure code quality and application reliability.
- Collaborate closely with cross-functional teams, including product managers, designers, and other engineers, to deliver high-quality solutions.




- Diagnose and resolve technical issues across the full development lifecycle.

MUST HAVES
- 3+ years of experience as a software engineer .
- Front-End: Experience building responsive interfaces with ReactJS .
- Back-End: Experience developing APIs and services using Node.js, C#, and Python .
- Databases: Proficient with PostgreSQL and AWS DynamoDB for both relational and NoSQL data management.
- Cloud Technologies: Hands-on experience with key AWS services such as SQS, Lambda, ECS, CloudFront, ALB, and EventBridge.
- Testing: Solid experience with automated testing frameworks, especially Jest and Playwright .
- DevOps: Practical experience with Terraform for IaC and GitLab for CI/CD processes.
- Upper-intermediate English level.

NICE TO HAVES
- Additional proficiency with Terraform and infrastructure automation best practices.
- Experience designing and maintaining CI/CD pipelines using GitLab.
- Working knowledge of Python for scripting or service development.

PERKS AND BENEFITS
- Growth without limits : build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation : get recognition that reflects your skills and impact,



with regular performance and compensation reviews
- Flexibility : work 100% remotely with adaptable hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects : build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture : join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support : access local well-being programs and people-focused support tailored to your location

Requirements
-+3 years of professional experience in data engineering, featuring direct expertise with Apache Spark and cloud-based data architectures. -Strong hands-on experience building data pipelines with Databricks, Apache Spark (PySpark), and Delta Lake. -Advanced SQL and Python, with strong data modeling skills across dimensional and Lakehouse patterns. -Experience with streaming ingestion using Structured Streaming, Auto Loader, Kafka, or Event Hubs. -Experience with workflow orchestration (Databricks Workflows, Airflow, or Azure Data Factory). -Experience with legacy platform migrations, ETL modernization, or managing data hygiene when porting old systems. -Strong problem-solving, collaboration, and communication skills. -Familiarity with Unity Catalog, data governance, access control, and PII handling. -Experience with dbt or an equivalent transformation framework. -Familiarity with secure coding standards and industry security best practices. -Experience delivering production data platforms at scale.

📌 Full Stack Software Engineer (Ciudad de México)
🏢 Agileengine
📍 Ciudad de México

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