Fullstack Engineer Backend and Data Engineering
Fullstack Engineer Backend and Data Engineering
Posted on :
26-11-2024
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
This is a remote position.
As a fullstack engineer with backend & data engineering focus your highest priority is to develop and maintain robust scalable Pythonbased backend services that are core to our decision intelligence. This includes engineering data pipelines which right now is a large focus.
Responsibilities:
- Build: Design develop and deploy robust Pythonbased backend services using Django. Craft crucial components that power our decision intelligence model shaping the core of our products decisionmaking capabilities.
- Data Processing: Implement robust data processing and storage solutions crucial to out core logic (we are moving a lot of data).
- Performance: Ensure high uptime seamless service integration and monitor system health. Optimize frontendbackend synergy.
Requirements
- Backend Excellence: 5 years in Pythonfocused backend development. Expertise in Python web frameworks (Django Flask or FastAPI). Proficient in microservices containerization and software design principles. Deep knowledge of SQL NoSQL databases as well as experience building data pipelines.
- DevOps Expertise: Expertise in CI/CD cloud platforms (preferably Azure) and cuttingedge DevOps practices.
- ML Expertise: Proficiency in ML (Pytorch) is a plus.
- GenAI Expertise: Proficiency with Vector Databases and chaining LLMs is a plus.
Benefits
- Work Location: Remote
- 5 days working
Backend Excellence: 5+ years in Python-focused backend development. Expertise in Python web frameworks (Django, Flask, or FastAPI). Proficient in microservices, containerization, and software design principles. Deep knowledge of SQL, NoSQL databases as well as experience building data pipelines. DevOps Expertise: Expertise in CI/CD, cloud platforms (preferably Azure), and cutting-edge DevOps practices. ML Expertise: Proficiency in ML (Pytorch) is a plus. GenAI Expertise: Proficiency with Vector Databases and chaining LLMs is a plus.
Education
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience)
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
