Dentira

Software Development Engineer 2 (Platform & Infrastructure) at Dentira (India).

SDE 2 (Backend) at Dentira (India).

₹16 to ₹25

Dentira is one of the fastest-growing, profitable healthcare startups revolutionizing clinic operations across multiple countries. Our flagship product transformed dental procurement by introducing the world's first real-time price and product comparison engine for dental supplies across the US, Canada, Australia, and New Zealand. Building on this success, our Lab Platform seamlessly connects clinics, intraoral scanners, and dental labs to streamline workflows and improve efficiency. We are also leveraging advanced AI technologies to solve complex challenges such as Automatic Invoice Reconciliation and procedure cost prediction across multiple healthcare verticals. As we continue to scale rapidly, our goal is to achieve 10X growth over the next 3 years, and we're looking for engineers who enjoy building highly scalable distributed systems that power mission-critical healthcare applications. **Role Overview** As a Software Development Engineer II (Backend), you'll join the team responsible for building the data and orchestration backbone behind Dentira's Procurement and Lab platforms. This role is focused on distributed systems, event-driven architectures, and highly scalable backend services. You'll design reliable systems, solve production-scale challenges, optimize performance, and own services from design through production. This is an ownership-driven engineering role where understanding customer impact, scalability, system reliability, and operational excellence is as important as writing high-quality code. **Key Responsibilities** - Design, develop, and maintain scalable backend services using Node.js, TypeScript, and Go. - Build and maintain event-driven architectures using Kafka, RabbitMQ, or similar messaging systems. - Design durable workflow orchestration systems with a strong focus on idempotency, resiliency, and exactly-once processing. - Develop highly available backend services running on Kubernetes across multiple regions. - Design efficient MongoDB schemas, indexes, and aggregation pipelines based on production access patterns. - Investigate production incidents using metrics, logs, traces, and performance profiling to identify root causes. - Optimize system throughput, reliability, scalability, and fault tolerance. - Collaborate with Product, Engineering, and cross-functional teams to deliver robust backend solutions. - Drive automation, improve engineering processes, and contribute to overall platform reliability. - Leverage AI-powered development tools to improve engineering productivity and software quality. - Qualifications & Skills - Bachelor's degree in Computer Science or a related engineering discipline. - 3+ years of experience building and operating backend services in production. - Strong proficiency in Node.js and TypeScript. - Deep understanding of asynchronous programming, the Node.js event loop, and backend performance optimization. - Strong expertise in MongoDB, including schema design, indexing strategies, aggregation pipelines, replica sets, and performance tuning. - Experience building distributed systems using Kafka, RabbitMQ, or other event-driven messaging platforms. - Good understanding of Redis for caching, rate limiting, and distributed coordination. - Experience debugging distributed applications using logs, metrics, traces, and monitoring tools. - Strong knowledge of Data Structures, Algorithms, Concurrency, and System Design. - Ability to independently solve ambiguous problems and own projects from design through production. - Excellent written and verbal communication skills with global teams. - Strong ownership mindset and ability to drive improvements proactively. - Comfortable using AI coding assistants, automation tools, and developer productivity workflows. - Preferred Qualifications - Production experience with Go. - Experience with Temporal or other workflow orchestration engines. - Experience with Change Data Capture (CDC) and stream processing. - Hands-on experience with AWS, Kubernetes, and Terraform. - Experience with OpenSearch or Elasticsearch. - Contributions to open-source projects.