Senior Backend Developer - Golang/Java/Python

Description :

We're hiring a Backend engineer to join our Core Product Team. Youll work alongside the Director of Product, AI engineers, and full-stack teammates to build the foundational systems that power AI voice agents at scale. Your work will directly enable multiple customer-facing pods to execute cleanly, while ensuring our systems are reliable, observable, and deployable across many environments

Youll own core infrastructure from CI/CD and observability to service orchestration and API integration. This role goes beyond shipping features : its about architecting a backend foundation that enables us to scale across 100s of healthcare providers with minimal engineering overhead. This is a high-ownership role ideal for someone with 4+ years of experience who thrives in fast-paced environments and wants to work at the intersection of engineering, healthcare, and AI.

Key Responsibilities :

- Backend & Application Engineering : Design and build scalable, maintainable and fault tolerant backend services with 4 nines of availability. Implement clean REST and event-driven APIs supporting product features and AI workflows. Own backend logic for multi-tenant SaaS systems used by healthcare providers.

- Data & Integrations : Design and work with relational and low-latency data stores to ensure correctness and performance. Build and maintain API-based or RPA-based integrations with external systems, including healthcare platforms, EHRs and telephony providers. Support backend workflows involving data ingestion from external sources and apply transformations at scale.

- AI-Aware Backend Development : Integrate backend services with latest LLM-based APIs for conversational AI in healthcare. Support backend integration with Speech-to-Text (STT) and Text-to-Speech (TTS) systems. Work closely with AI engineers to productionize AI workflows with a focus on latency, reliability, observability and evals.

- Collaboration with Product & FDEs Work closely with FDEs to understand field learnings, customer issues and deployment challenges. Translate real-world feedback from customer environments into core backend and platform improvements. Collaborate with Product and FDEs to ensure smooth deployments across customers.

- Infra Awareness & Reliability : Develop and run services in containerized environments on public/private clouds or on-prem systems. Collaborate with infrastructure teams on CI/CD workflows, deployments and environment management. Debug production issues, improve system robustness and participate in incident resolution when needed.

- Code Quality & Knowledge Sharing : Maintain high standards for code quality, testing and documentation. Review logs, debug issues and proactively improve backend reliability. Document workflows, share learnings and support teammates with backend best practices.

Qualifications :

- 4+ years of experience building backend systems in production environments.

- Strong proficiency in one or more of Golang, Java, Python and TypeScript.

- Experience with backend frameworks such as Gin or Fiber (Golang), Spring Boot or Vert.x (Java), Express or Next.js (Typescript), etc.

- Solid understanding of API design, data modeling and distributed systems architecture.

- Experience working with databases such as MySQL, Postgres, MongoDB, Cassandra, etc.

- Experience working with caching infrastructure such as Redis or Aerospike.

- Familiarity with event-driven architectures like Kafka or RabbitMQ.

- Exposure to cloud platforms such as GCP, AWS, Azure or Oracle.

- Exposure to containerized environments using Docker and Kubernetes.

- Experience integrating backend systems with LLM-based APIs and Speech AI systems.

- Familiarity with Jira, Confluence (or Notion) to implement Agile methodology with all its ceremonies.

Bonus :

- Experience with healthcare systems, EHRs or API-based healthcare integrations.

- Familiarity with workflow orchestration tools like Airflow, Temporal, Conductor, etc.

- Prior work involving automation, RPA bots or data ingestion from external sources.

What Youll Gain :

- Ownership of live healthcare-facing systems used daily by patients and providers.

- Deep exposure to applied AI, real-time voice systems, and automation technologies.

- Mentorship from senior engineers and AI leads with opportunities for rapid skill growth.

- The chance to shape how AI is implemented in real-world healthcare environments.