Full-Stack Tech Lead in Fusemachines

Closed job - No longer receiving applicants

Follow Fusemachines in Get on Board and we'll notify you when new jobs are published.

More open jobs from Fusemachines

Fusemachines is a leading AI strategy, talent, and education services, provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

Job functions

Role scope:

  • Write clean and maintainable code that conforms to best practices; perform peer code reviews
  • Investigate, explore, and employ architectural principles and approaches to deliver best-in-class products
  • Collaborate and evaluate on prototyping new technologies
  • Work in a fast-paced Agile/Scrum environment
  • Mentor team members on their appropriate application
  • Work closely with local, remote, and international teams

Qualifications and requirements

Requirements for the role:

  • Bachelor's degree in computer science or related field of study.
  • 5+ years experience as a Software Engineer or Software Developer
  • AWS Services (ElastiCache, S3, SQS, DynamoDB, Kinesis Analytics, Glue)
  • Demonstrated proficiency in, at least, one modern programming language such as Java, C#, and Python
  • Demonstrated experience using at least one JavaScript framework (Angular JS, React JS, etc.)
  • Experience using at least one relational database (MySQL, SQL Server, PostgreSQL, etc.)
  • Strong analytical skills and excellent problem-solving skills
  • Good understanding of fundamental programming concepts like object-oriented design, algorithms, and data structures
  • Experience developing complex software systems that have successfully been delivered to customers
  • Experience with data integrity, regression, performance testing
  • Strong interest in machine learning software systems and big data software systems

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Conditions

Fully remote You can work from anywhere in the world.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

Life's too short for bad jobs.
Sign up for free and find jobs that are truly your match.