Mid-Senior Full-Stack Django/Python Engineer (Argentina)

at  Devengine

Mid-Senior Full-Stack Django/Python Engineer (Argentina)
Remote - Canada | Permanent / Full Time
Our client, a leading force in the scheduling application industry, provides advanced HR and scheduling software solutions to corporate clients including Starbucks, AirFrance, and various governmental and health organizations. Specializing in the integration of complex ERP systems like ADP and SAP, they cater to the broad requirements of shift-based businesses. With a global presence, including a dedicated team in Canada, the US, Croatia, and Argentina, they are looking to further expand their team in Buenos Aires.
The client is looking to add 2 mid-senior engineers to their team in Buenos Aires for a full-time permanent opportunity (salary plus benefits). It’s a mostly remote work arrangement with 2-3 days on-site a month to foster team collaboration. Candidates based in Buenos Aires or willing to relocate to the city for the opportunity will be considered first. Fully remote work arrangement can be negotiated for the right candidate located elsewhere in Argentina.
B2 level of English communication skills are required for efficient collaboration with the client’ existing international team (US, Canada, Croatia).

TECHNICAL SKILLS REQUIRED:

Minimum 5 years of experience in full-stack development.
Strong expertise in Django/Python with preferably Vue.js on the front end.
Proven experience in enterprise-level projects.
Solid API experience and integration work
Knowledge of TDD and ability/desire to write own unit tests

NICE-TO-HAVE REQUIREMENTS:

Experience with HRIS, scheduling software, and/or ERP system integrations (e.g., ADP payroll, SAP).
A well-maintained GIT portfolio showing past work is hugely beneficial

Engage in the development and maintenance of web and mobile-based scheduling applications.
Lead integration projects for diverse ERP systems to enhance HR and scheduling functionalities.
Work collaboratively with a global team to create, develop, and deploy innovative solutions (LLMs based on ChatGPT and AWS AI and ML services, currently).
Actively participate in all software development lifecycle phases.
Work with AI, TensorFlow, vectored data, AI prompts etc.