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Software Engineer

3 weeks, 2 days ago
Latin America
Full-time
Mid Level
Software Engineer
Software Development
AWS Azure CI/CD DynamoDB FastAPI Next.js PostgreSQL Python Redis REST API SQL Server TypeScript
Apply Now
Nimble Gravity

Nimble Gravity

Nimble Gravity transforms challenges into growth opportunities for businesses using Data Science, Generative AI, and Digital technologies, propelling organizations forward with innovative solutions and impactful insights.

IT Services
51-250
Founded 2019
View All Jobs 13

Description

  • Develop, improve, test, and deploy cloud solutions in Azure or AWS.
  • Participate in design discussions from estimation through deployment of full-stack solutions.
  • Contribute across the software development life cycle, including front-end, back-end, unit tests, end-to-end tests, and data migrations.
  • Work on projects independently or as part of a larger team.
  • Deploy resources in cloud environments such as Azure and AWS.
  • Participate in team and customer meetings and report project status.
  • Design and implement unit tests, continuous integration, and continuous delivery pipelines.
  • Own solutions and discuss technical details with peers and customers.
  • Triage issues and assist with platform stability.
  • Collaborate with senior engineers and architects on solution delivery.

Requirements

  • 4+ years of experience developing applications and services in TypeScript, Python, or similar languages.
  • Experience building and deploying SaaS applications at scale.
  • Experience with data storage technologies such as PostgreSQL, SQL Server, Redis, and AWS Dynamo.
  • Experience designing REST-based APIs for complex systems.
  • Experience securing applications from data at rest through the public interface.
  • Experience delivering solutions on Azure or AWS using services such as Azure SQL DB, App Service, and Foundry.
  • Familiarity with AI frameworks and tools such as LangChain and Semantic Kernel is preferred.
  • Knowledge of AI techniques such as RAG, agentic patterns, and workflow orchestration is preferred.
  • Formal training in engineering disciplines is preferred.

Benefits

  • Opportunity to help leading financial institutions adopt AI in meaningful ways.
  • Direct collaboration with clients, engineers, and AI specialists.
  • Work on turning emerging technology into measurable business outcomes.
  • Equal Opportunity Employer status.

Interested in this position?

Apply directly on the company website

Apply Now

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