Full Stack Software Engineer Id85839

INGEPSY; Risaralda; Presencial; COP 279.616.000 - 466.027.000; Jornada completa

Descripción de la vacante

AgileEngine is seeking a Full Stack Software Engineer to build and maintain a tax research and workpapers platform. You will work on React frontend and Node.js/C#/Python back-end services, with data in PostgreSQL and DynamoDB.

The role is a short-term contract running through December 31, covering the full AWS cloud stack. Responsibilities include designing and implementing web apps, deploying cloud infrastructure, and writing tests with Jest and Playwright, while collaborating with product

Formación

• 3+ years of professional software engineering experience.
• Front-end: building responsive interfaces with ReactJS.
• Back-end: APIs/services with Node.js, C#, and Python.
• Databases: PostgreSQL and AWS DynamoDB for relational and NoSQL data management.
• Cloud: hands-on AWS services such as SQS, Lambda, ECS, CloudFront, ALB, EventBridge.
• Testing: Jest and Playwright for automated testing.
• DevOps: Terraform for IaC and GitLab for CI/CD.

Responsabilidades

• Design, develop, and maintain web applications using ReactJS for the front end.
• Build scalable back-end services with Node.js, C#, and Python.
• Manage data persistence with PostgreSQL and DynamoDB.
• Deploy and monitor AWS-based infrastructure and CI/CD pipelines.
• Write robust tests and collaborate with product managers and designers.

Conocimientos

Upper-intermediate English

ReactJS

Herramientas

ReactJS

Node.js

Python

C#

PostgreSQL

AWS DynamoDB

Terraform

GitLab CI/CD

Jest

Playwright

Descripción del empleo

Descripción del trabajo

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 flexible 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.