Senior Software Engineer

• Design and implement a Python backend middleware service with RESTful APIs that securely proxy requests between mobile apps and external AI services (voice and text analysis), handling data formatting, token exchange, and API key protection.
• Integrate with external AI services and EHR backend, implementing OAuth 2.0 token flows, secure secrets management, and error handling for third-party API failures and rate limits.
• Implement security controls, including HIPAA-compliant data handling, server-side rate limiting, anomaly detection, TLS configuration, and audit logging.
• Set up and manage Kubernetes infrastructure with CI/CD pipelines, Infrastructure-as-Code (Helm/Terraform), and observability stack (monitoring, logging, alerting).
• Collaborate with Mobile Engineer on API contracts and integration patterns, participate in code reviews and architecture decisions, and write tests for backend services.

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• 5+ years of professional backend development experience with strong Python expertise.
• Experience using AI-powered productivity tools (Cursor, VS Code with Copilot, or similar AI-enhanced IDEs) and LLMs for research and problem-solving (ChatGPT, Claude, etc.).
• Proven experience designing and building RESTful APIs and backend services in production environments.
• Hands-on experience with Kubernetes (K8s) and containerized deployments (Docker).
• Strong background with CI/CD pipelines (GitLab CI/CD, GitHub Actions, or similar).
• Experience with Infrastructure-as-Code practices (Helm, Terraform, or similar tools).
• Solid understanding of OAuth 2.0, JWT, and token-based authentication flows.
• Strong knowledge of HTTPS, TLS, REST API security, and secure communication patterns.
• Experience integrating with third-party APIs and handling external service errors, rate limits, and retries.
• Understanding of HIPAA compliance requirements or healthcare data handling (bonus: prior healthcare/telehealth experience).
• Strong problem-solving skills and ability to work autonomously with minimal oversight.
• Clear written and spoken English for async collaboration and documentation.

Nice to Have

• Experience with the FastAPI framework specifically.
• Experience with major cloud platforms (AWS, GCP, or Azure) and cloud-native services.
• Experience managing production Kubernetes clusters at scale.
• Knowledge of monitoring and observability stacks (Prometheus, Grafana, ELK, or similar).
• Experience integrating AI/ML services (speech analysis, NLP, chatbots, LLM APIs).
• Experience building backend APIs for mobile applications (iOS/Android) and understanding mobile-specific constraints.
• Familiarity with rate-limiting strategies, anomaly detection, and abuse prevention patterns.
• Background in telehealth, mental health, or healthcare technology platforms.
• Experience with Python async frameworks and async/await patterns.
• Familiarity with PostgreSQL or relational databases.
• Prior experience in a lead or mentorship role.
• GitHub-based workflows and conventional commits.

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