Senior Full Stack Engineer – Tech Lead

This is a fully remote position, open to applicants in Portugal, +1 more country.

📋 Description

• Develop and sustain full-stack applications utilizing React, TypeScript, Node.js, and NestJS.

• Create AWS serverless services, which include TypeScript Lambda functions.

• Architect and advance distributed systems and event-driven workflows using Amazon EventBridge, SNS, and SQS.

• Construct features that integrate with machine learning forecasting models, facilitating automated workflows and human interactions.

• Implement automated unit, integration, and end-to-end testing, including Playwright.

• Enhance CI/CD pipelines for more automated and reliable delivery processes.

• Manage infrastructure as code through Terraform.

• Contribute to delivery workflows via Jenkins.

• Oversee production services using Grafana for metrics and OpenSearch for logging and alerts.

• Employ AI-assisted development methodologies to boost engineering efficiency while ensuring code quality.

• Collaborate with engineers, product stakeholders, and colleagues working on forecasting models.

• Direct architectural and technical decisions, mentor engineers, and take ownership of technical delivery while remaining hands-on.

⛳️ Requirements

• Extensive commercial experience in delivering full-stack applications with TypeScript, React, and Node.js.

• Proficiency in building backend services using NestJS or a similar Node.js framework.

• Strong practical experience with AWS serverless architecture, especially Lambda.

• Solid grasp of distributed systems and event-driven architectures, including asynchronous messaging, failure management, and service reliability.

• Familiarity with Amazon EventBridge, SNS/SQS, and DynamoDB, or closely related technologies and methodologies.

• Strong dedication to test automation, with experience in unit, integration, and end-to-end testing.

• Familiarity with Playwright or a similar end-to-end testing framework.

• Knowledge of Terraform, CI/CD pipelines, and production observability practices.

• Experience in implementing AI-assisted tools and practices throughout the software development lifecycle, with appropriate review and validation.

• Understanding of how applications integrate with machine learning models to enhance product features, automation, and user interaction.

• Proactive and collaborative mindset, capable of contributing independently and taking ownership of intricate engineering tasks.

• Proven track record of providing technical leadership, shaping architecture, supporting fellow engineers, and guiding delivery in a complex distributed environment.

• Excellent verbal and written communication abilities in English.

• Dedicated MLOps expertise is not mandatory.

🏝️ Benefits

• Opportunities for growth and involvement in diverse projects.

• Continuous training and mentoring.

• Potential for travel.

• A collegial environment where responsibility and authority are equally shared among colleagues.

• A culture that emphasizes learning from mistakes rather than criticizing failures.

• An agile environment where new ideas are encouraged.