Gympass is hiring a
Mid-level Backend Software Engineer

Summary

Job Description: A Mid-level Backend Software Engineer position is available for Wellhub's Search & Discovery team in Portugal. The role involves building scalable architectures, developing software services, and working with data to infer user preferences. Wellhub offers a flexible work environment, paid time off, parental leave, career growth opportunities, and a commitment to diversity, equity, and belonging.

Requirements

• B.S. degree in Computer Science or equivalent professional experience
• Experience developing complex modern web services
• Experience applying computer science fundamentals: data structures, algorithm design, problem solving and complexity analysis
• Experience with at least two programming languages such as Java, Python, or Go
• Experience in building complex software systems that have been successfully delivered to customers
• Experience using cloud platforms and/or containerized application deployments
• Experience with SQL and NoSQL technologies, such as PostgreSQL, Redis, or Elasticsearch
• Strong communication skills including verbal and written English and Portuguese

Responsibilities

• Build scalable, maintainable architectures
• Be responsible for the development, delivery and support of software services for search, recommendation and other end-user-focused exploration and discovery technologies
• Work with other engineers within the team and across teams to implement our technical roadmap
• Ensure successful delivery of projects, and promote the long-term technical health of our services
• Develop, test, deploy, maintain and improve services focusing on both performance and accuracy
• Analyze and interpret data to infer user preferences and needs, and evolving trends and topics
• Build integrations with 3rd party API and tools
• Contribute to the entire product development process and brainstorm different ideas

Preferred Qualifications

• Interest and ability to learn other coding languages
• Familiarity with machine learning concepts and applications
• Experience with Information Retrieval, Recommendation Systems, and/or Natural Language Processing

Benefits

• Access digital fitness programs and online wellness resources for meditation, nutrition, mental health support, and more
• Additional fitness subsidy to access onsite gyms and fitness studios
• Flexible work environment: flexible hybrid and full remote options, office for collaboration, community, and team building
• Flexible schedule: flexibility to adjust working hours based on personal schedule, time zone, and business needs
• Paid time off: minimum of 25 days paid holiday per year with an additional day for each year of tenure (up to 5) in addition to annual holidays (including an extra holiday on your birthday!)
• Parental leave: 100% paid parental leave to all new parents and extended maternity leave
• Career growth opportunities
• An exciting and supportive environment filled with passionate individuals from all over the world!