{"id":1374479,"url":"https://alion.io/job/zealant-consulting-group-senior-backend-developer","title":"Senior Backend Developer","company":{"id":3801480,"name":"Zealant Consulting Group","domain":"zealantgroup.com","url":"https://alion.io/company/zealant-consulting-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":139},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Aerospike","optional":false},{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Docker","optional":false},{"name":"Fiber","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"MySQL","optional":false},{"name":"Next.js","optional":false},{"name":"Notion","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"TypeScript","optional":false},{"name":"Vert.x","optional":false},{"name":"Voice Agents","optional":false},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-09-28T04:22:47Z","employer_posted_date":null,"last_verified_at":"2026-09-28T04:22:47Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"Description : \n\nWe'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 \n\nYoull 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.\n\nKey Responsibilities : \n\n- 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.\n\n- 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.\n\n- 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.\n\n- 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.\n\n- 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.\n\n- 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.\n\nQualifications : \n\n- 4+ years of experience building backend systems in production environments.\n\n- Strong proficiency in one or more of Golang, Java, Python and TypeScript.\n\n- Experience with backend frameworks such as Gin or Fiber (Golang), Spring Boot or Vert.x (Java), Express or Next.js (Typescript), etc.\n\n- Solid understanding of API design, data modeling and distributed systems architecture.\n\n- Experience working with databases such as MySQL, Postgres, MongoDB, Cassandra, etc.\n\n- Experience working with caching infrastructure such as Redis or Aerospike.\n\n- Familiarity with event-driven architectures like Kafka or RabbitMQ.\n\n- Exposure to cloud platforms such as GCP, AWS, Azure or Oracle.\n\n- Exposure to containerized environments using Docker and Kubernetes.\n\n- Experience integrating backend systems with LLM-based APIs and Speech AI systems.\n\n- Familiarity with Jira, Confluence (or Notion) to implement Agile methodology with all its ceremonies.\n\nBonus : \n\n- Experience with healthcare systems, EHRs or API-based healthcare integrations.\n\n- Familiarity with workflow orchestration tools like Airflow, Temporal, Conductor, etc.\n\n- Prior work involving automation, RPA bots or data ingestion from external sources.\n\nWhat Youll Gain : \n\n- Ownership of live healthcare-facing systems used daily by patients and providers.\n\n- Deep exposure to applied AI, real-time voice systems, and automation technologies.\n\n- Mentorship from senior engineers and AI leads with opportunities for rapid skill growth.\n\n- The chance to shape how AI is implemented in real-world healthcare environments.\n\nSkills\nGolang, REST API, SaaS, Java, Python, TypeScript, Distributed Systems, MySQL, AWS, Kafka, System 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