Sr. Software Engineer - MCU

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Software Engineer - MCU based in India.

This is a senior engineering opportunity for someone passionate about building scalable, cloud-native products that solve complex real-world <problems.You> will own sophisticated product capabilities from technical design through production deployment and ongoing support.The role spans backend services, distributed systems, event-driven architectures, databases, search, cloud infrastructure, and full-stack <development.You> will work with modern technologies including Kafka, PostgreSQL, Elasticsearch, Kubernetes, AWS, React, and <NestJS.As> a senior member of the engineering team, you will influence architecture, establish best practices, and help shape technical <direction.You> will collaborate closely with Product, Design, Data Engineering, and global teams in a highly autonomous environment.Your work will contribute to technology that transforms complex healthcare data into reliable products and meaningful outcomes.

Accountabilities

• Own complex product features end-to-end, including technical design, implementation, testing, deployment, monitoring, and ongoing production support.
• Design, develop, optimize, and troubleshoot APIs, backend services, distributed microservices, and event-driven architectures.
• Build and maintain Kafka-based systems, including producers, consumers, consumer groups, replay mechanisms, and failure-recovery strategies.
• Design and optimize PostgreSQL databases, including schemas, queries, indexes, and performance for high-volume applications.
• Develop and optimize Elasticsearch indexes, mappings, search queries, and performance for large-scale search workloads.
• Deploy, monitor, and troubleshoot cloud-native applications running on Kubernetes, including Helm charts, CronJobs, autoscaling, and production environments.
• Contribute to AWS cloud infrastructure and collaborate on Spark and EMR-based data-processing workflows.
• Build and maintain scalable full-stack applications using React, TypeScript, and NestJS.
• Participate in architecture discussions, technical design reviews, and code reviews while helping establish engineering standards and best practices.
• Partner with Product and Design teams to translate business requirements into scalable, reliable technical solutions.
• Identify and implement improvements across system reliability, observability, scalability, operational performance, and infrastructure efficiency.
• Provide technical leadership and mentorship while helping the wider engineering team solve complex technical challenges.

Requirements

• 6+ years of professional software engineering experience developing scalable, production-grade applications.
• Strong experience designing and developing APIs, distributed microservices, and event-driven systems using Kafka.
• Hands-on experience troubleshooting Kafka environments, including producers, consumers, consumer groups, replay strategies, and failure recovery.
• Strong full-stack development experience with TypeScript and Node.js, including delivery of customer-facing products from conception through production.
• Advanced experience with PostgreSQL, including database design, query optimization, indexing, and performance tuning for high-volume applications.
• Experience building and operating cloud-native applications using Kubernetes, AWS, and modern CI/CD practices.
• Experience implementing and optimizing search functionality with Elasticsearch.
• Strong understanding of software architecture, distributed systems, scalability, reliability, and performance optimization.
• Excellent problem-solving, communication, and collaboration skills, with the ability to independently lead complex technical initiatives.
• Strong ownership mindset, sound architectural judgment, and comfort making technical trade-offs with limited direction.
• Python/PySpark or similar data-processing experience is a strong plus.
• Experience with Golang is advantageous.
• Experience developing AI-powered applications or integrating LLM APIs such as OpenAI or Anthropic is a plus.
• Familiarity with RAG architectures and modern AI frameworks such as LangChain or Vercel AI SDK is advantageous.
• Candidates must be based in India and able to work with meaningful overlap with U.S. East Coast hours, including availability until approximately 10:30 PM IST when required.

Benefits

• Flexible work environment with the opportunity to work remotely from anywhere in India.
• Flexible working hours, with scheduling designed to support collaboration across global teams.
• Comprehensive health insurance options.
• Generous paid time off.
• Planned company-wide wellness holidays.
• Retirement plan options.
• Health and charitable donation stipends.
• Access to impactful Business Resource Groups.
• Opportunity to work with leading organizations in the biotech and life sciences sector.
• Exposure to modern cloud, distributed systems, data, and AI technologies.
• Opportunity to contribute to technology focused on improving healthcare outcomes globally.