FullStack Overview
FullStack is the fastest-growing software consultancy in the Americas. We help organizations build distributed software development teams and deliver digital solutions for clients like Uber, GoDaddy, MGM, Siemens, and Stanford University. As an employee-first company, we prioritize creating a positive work environment for our talented software designers and developers.
We're most proud of:
- Offering life-changing career opportunities to talented software professionals
- Building highly-skilled software development teams for world-renowned companies
- Delivering successful custom software solutions that positively impact users
- Having a 4.5-star rating on GlassDoor
- A client Net Promoter Score of 68, twice the industry average
The Position
- We're looking to hire a Senior Python/Machine Learning Developer to join our team
- You'll work with clients either through Team Augmentation or Design & Build approaches
What We're Looking For:
6+ years of professional software development experience. Proven experience working with Python, Machine Learning, and Azure. Proficiency with Spark or PySpark, NoSQL, and SOA architecture (ideally microservices). Ability to work on cloud-based SaaS application development. Advanced English proficiency required. Successful completion of a four-year college degree required. Ability to work on Agile/Scrum teams and large, complex systems.
What We Offer:
- Competitive pay in your local currency
- 100% remote work
- Opportunity to work with leading startups and Fortune 500 companies
- English Classes
- Virtual company events each month
- Ample opportunity for career advancement
- Continuing education opportunities
- Other benefits may apply depending on your location
Equal Opportunity Workplace
FullStack is proud to be an equal opportunity workplace, committed to providing equal employment opportunity without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you require accommodation, please inform us during the hiring process. Learn more about our Applicants Privacy Notice. #J-18808-Ljbffr