Senior Backend Software Engineer

September 20, 2024

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Logo of Gympass

Gympass

Gympass is a comprehensive corporate wellness platform that connects employees with a variety of fitness, mindfulness, nutrition, and sleep resources through flexible and cost-effective subscription plans. Offering access to a vast network of gyms, studios, virtual personal trainers, and wellness apps, Gympass is designed to enhance employee wellbeing and improve productivity, retention, and healthcare cost outcomes for businesses. By enabling companies to provide holistic wellness options, Gympass fosters healthier workplace environments and supports employees in maintaining balanced lifestyles both at work and at home.

Human Resources • Health • Fitness • Employee Engagement • Workplace Wellness

1001 - 5000 employees

Founded 2012

🧘 Wellness

🤝 B2B

☁️ SaaS

💰 $5.4M Venture Round on 2021-12

📋 Description

• Hiring a Senior Backend Software Engineer for Wellhub, a corporate wellness platform. • Focus on improving user experiences in the wellbeing journey. • Develop and maintain apps, frontend, and backend services. • Collaborate with product, UX, and data teams. • Enhance services for subscriber satisfaction.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field. • Strong skills in programming languages such as Python, Go, Kotlin, Java, C or C++. • Experienced in working with SQL/NoSQL technologies (e.g., OpenSearch, DynamoDB, PostgreSQL). • Experience with API development and integration. • Excellent problem-solving skills and attention to detail. • Strong communication (both in English and Portuguese) and teamwork skills. • Able to work efficiently on highly scalable and distributed projects. • Proven experience with undefined project scopes. • Faster learner and adapts quickly to new technologies. • Passionate about building reliable minimum viable products. • Preferred: PhD degree in relevant fields • Preferred: Familiarity with large language models and generative AI frameworks. • Preferred: Knowledge of retrieval-augmented generation (RAG). • Preferred: Experience with cloud platforms (e.g., AWS, GCP, Azure). • Preferred: Knowledge of data engineering and ETL processes. • Preferred: Experience with machine learning frameworks and libraries. • Preferred: Understanding of natural language processing (NLP).

🏖️ Benefits

• Health, dental, and life insurance. • Flexible work options (hybrid, full remote). • Flexible working hours based on personal schedule. • Access to onsite gyms and fitness studios, digital programs. • Vacation after 6 months and extra days off for tenure. • 100% paid parental leave and extended maternity leave. • Outstanding opportunities for personal and career growth. • Supportive culture with ambitious global colleagues.

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