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AI Summary

You will build and maintain scalable backend services, APIs, and data pipelines while developing cloud-native solutions on AWS. Additionally, you will design production-grade agent-based architectures and drive the automation of healthcare and genomics data harmonization.

Be part of a team powering global healthcare data and analytics!

Are you Senior Backend Engineer with a passion for life sciences and technology?

At BC Platforms, we have made our mission to power global healthcare data and analytics! We accelerate medical innovation through advanced technology, predictive analytics, and comprehensive healthcare data.

Are you passionate about advanced technology, predictive analytics, and comprehensive healthcare data? Join our team as a Senior Backend Engineer !

📍Location: India (preferably)

🏠 Work Mode: Remote

💰 Compensation: Competitive, based on experience

📆 Start date: September 2026

⏲️ Working time: Full-time

Employment type: Permanent

Reporting to: Chief Product Officer

3 reasons to join us

  • Be part of a global company shaping the future of precision medicine

  • Collaborate with cross-country, multicultural teams on impactful projects

  • Enjoy autonomy, flexibility, and the chance to make a measurable impact on healthcare innovation

What you will do

  • Core Engineering: Build and maintain scalable backend services, APIs, and data pipelines using Python and Java.

  • Cloud Architecture: Develop cloud-native solutions on AWS and contribute to modern platform architecture.

  • AI Agent Frameworks: Design and deliver production-grade, agent-based architectures using the ReAct pattern and multi-agent orchestration.

  • Advanced RAG Pipelines: Implement advanced Retrieval-Augmented Generation (RAG) solutions for complex data parsing.

  • Data Harmonization: Drive automation of healthcare and genomics data harmonization processes using automated pipelines and ML models.

  • Team Collaboration: Collaborate with product, engineering, and data teams to deliver high-quality solutions at scale.

Your team will include

  • Domain Experts: Engineering, product, and data specialists.

  • Infrastructure Leads: Cloud and DevOps professionals.

  • Global Network: International teams working across BC Platforms products.

Your roadmap in this role

Within 6 months

  • Initial Delivery: Contribute production-ready services supporting current customer and partner initiatives.

  • Team Alignment: Establish strong working relationships with engineering, product, and data teams.

  • AI Assessment: Identify opportunities for automation, ML model integration, and platform improvements.

Within a year

  • Scalable AI Tools: Deliver scalable, reusable data harmonization capabilities for multiple data partners.

  • Ecosystem Integration: Accelerate integration between our core products.

  • Technical Direction: Help define architecture standards for next-generation backend, ML pipelines, and agentic services.

What makes you a strong fit

  • Experience: 7+ years of professional software engineering experience, focusing on backend and distributed systems.

  • Soft Skills: Excellent communication, collaboration, and technical documentation skills.

  • Core Languages: Strong Python expertise and solid Java/Spring knowledge.

  • Cloud Infrastructure: Experience building cloud-native applications on AWS and Kubernetes.

  • System Design: Strong understanding of microservices, APIs, and database technologies.

  • Agent Development: Practical experience building LLM applications using the ReAct pattern, LangGraph, CrewAI, Autogen or Google ADK.

  • AI Productivity: Strong understanding of AI tools and use of AI-assisted software development.

  • Language: Fluent English.

You’ll stand out if you have

  • Domain Expertise: Experience working with healthcare, genomics, life sciences, or other regulated industries.

  • Compliance: Understanding of GDPR, data governance, and privacy-by-design principles.

  • Modernization: Experience contributing to platform modernization and large-scale data ecosystems.

  • Regulated ML/AI: Experience deploying Machine Learning models or autonomous agents under strict compliance and data-privacy constraints.

Ready to make a difference in healthcare?

Apply now! We review applications on an ongoing basis.

To ensure a smooth and fair recruitment process, please submit your application through our careers site using the "Apply" button. Applications received by email, LinkedIn InMail, or any channel other than our careers site cannot be processed.

We look forward to learning more about you!

Future opportunities

We are always happy to connect with talented professionals across a range of disciplines and functions.

While this position addresses a current business need, we also welcome applications from candidates whose skills and experience align with our organisation and mission. Applications may be considered for future opportunities as our business grows and our customer and project needs evolve.

If you are passionate about advancing data-driven healthcare and believe you can contribute to our success, we encourage you to stay connected with us.

Equal Opportunity Statement

BC Platforms is committed to creating an inclusive workplace where diversity is valued and everyone has the opportunity to succeed. We welcome applications from all qualified candidates regardless of race, colour, religion, sex, national origin, age, disability, or any other characteristic protected by applicable law.

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