Full Stack Software Engineer Id85839

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.