Senior Software Engineer, Content AI

Our client is a global innovator in fitness and wellness technology, aiming to empower people through integrated experiences with millions of members worldwide.

• 6+ years of experience developing high-performance, scalable backend cloud applications.
• BS or MS degree in Computer Science, Engineering, Mathematics, or related technical field.
• Strong expertise in Kotlin, Python, or similar backend programming languages.
• Experience with backend frameworks such as Spring Boot, Bottle, Gunicorn, or similar JVM/Python frameworks.
• Experience designing and building APIs using REST, gRPC, or GraphQL.
• Proficient with relational and NoSQL databases such as PostgreSQL, MySQL, DynamoDB, or MongoDB.
• Hands-on experience with AWS, Docker, Kubernetes, CI/CD, and infrastructure tooling like Terraform, GitHub Actions, or Jenkins.
• Strong understanding of distributed systems, Elasticsearch optimization, caching, observability, security, performance optimization, production troubleshooting, and incident response.

Nice to have:

• Experience with AI-powered products, model-serving systems, or backend services integrating ML models.
• Experience with NLP, ASR, voice assistants, chatbots, search platforms, live captions, subtitles, translations, or content metadata workflows.

• Design, develop, and operate scalable backend APIs and microservices for search, voice, subtitles, captions, translations, and content workflows.
• Lead technical discussions, architecture reviews, design decisions, and task breakdowns within the engineering team.
• Build services focusing on high availability, low latency, security, scalability, and maintainability.
• Collaborate with ML Engineers to integrate NLP, ASR, and AI models into backend systems.
• Architect reusable code, libraries, patterns, and standards for adoption across teams.
• Use monitoring, tracing, profiling, and load-testing tools to identify performance bottlenecks.
• Promote engineering best practices including CI/CD, test automation, feature toggles, logging, monitoring, and reliable release processes.
• Mentor engineers via code reviews, pair programming, technical guidance, and incident response leadership.