SDE – Software Development Engineer II

Backend | In-Office, Bengaluru | Full-Time

About Triomics

Triomics is building the agentic AI layer for oncology EHRs. Cancer hospitals spend billions on highly trained staff manually reading unstructured patient records including pathology reports, clinical notes, genomic panels, to power workflows like trial matching, registry curation, visit prep, and quality reporting. We replace that manual work with task-driven AI agents that sit inside the EMR and process records with >95% accuracy, at scale, in real time.

Our platform is trusted by leading cancer centers including Memorial Sloan Kettering, Mount Sinai, and Yale Cancer Center. We have grown 10x in the last year and process millions of oncology medical documents monthly.

Role Summary

We're looking for a Backend-focused Software Development Engineer II (SDE2) who can design, build, and scale the core platform services that power our oncology AI agents.

This is not a just ship tickets role. You'll own critical backend systems end-to-end — from our high-throughput EHR data ingestion pipelines and AI orchestration layer to the APIs that serve clinicians in real time. You'll work closely with the AI, product, and infrastructure teams to ensure our platform remains fast, reliable, and secure as we scale across some of the world's top cancer centers. You'll spend the majority of your time in the backend, building the data processing, workflow orchestration, and service infrastructure that forms the backbone of our platform. Strong Java/Spring Boot skills and a deep understanding of distributed systems are essential.

What You'll Work On

Here are examples of the kind of problems you'll tackle:

EHR Data Ingestion & Indexing: Build and optimize the OncoIndexer pipeline that ingests HL7, FHIR, CCDAs, PDFs, and scanned documents, transforming raw EHR data into a standardized, LLM-ready format at scale.
AI Agent Orchestration: Design and extend the orchestration layer that coordinates our constellation of oncology-tuned LLMs (3B–72B parameters), managing multi-step agentic workflows for patient-level reasoning, trial matching, and data curation.
Scalable Platform Services: Architect and maintain the microservices, APIs, and event-driven systems that process thousands of complex medical records daily, ensuring reliability, accuracy, and low-latency performance.
Healthcare Integrations: Build and maintain secure integrations with hospital EMR systems, handling complex healthcare data standards, authentication, and compliance requirements.

Key Responsibilities

Design, build, and maintain scalable backend services, APIs, and data pipelines
Own the architecture of high-throughput document processing and indexing systems
Write clean, testable, production-grade code with clear documentation
Participate in architecture discussions and drive technical design decisions for backend systems
Independently debug and resolve complex issues across distributed services
Collaborate cross-functionally with AI, product, data, engineering, and QA teams
Set up and maintain monitoring, alerting, and observability for owned services
Contribute to CI/CD pipelines, code reviews, and engineering best practices
Ensure platform security, HIPAA compliance, and data integrity across all services

Our Tech Stack

Backend: Java / Spring Boot

AI Services: Python

Database: PostgreSQL, Redis, Elasticsearch

Data Formats: HL7, FHIR, CCDA, PDF, TIFF

Infrastructure: AWS, Azure, Docker / Kubernetes, Temporal

Must Haves

3–5 years of hands-on experience building production backend systems at scale
Java and Spring Boot, strong proficiency is non-negotiable
Strong understanding of data structures, algorithms, and system design fundamentals
Deep experience with REST APIs, microservices, and distributed systems
PostgreSQL or another relational database — SQL, query optimization, schema design, indexing
Experience designing and operating high-throughput data processing or ETL pipelines
Solid understanding of concurrency, caching strategies, and asynchronous processing

Good to Have

Experience with Elasticsearch (indexing, querying, relevance tuning) in a search or data retrieval context
Hands-on experience with Temporal or similar workflow orchestration frameworks
Familiarity with healthcare data standards like HL7, FHIR, CCDA, DICOM
Exposure to LLM serving infrastructure, prompt orchestration, or AI pipeline design
Experience with event-driven architectures (Kafka, RabbitMQ, or similar)
Experience with AWS / Azure, Docker / Kubernetes, and CI/CD tooling
Familiarity with HIPAA compliance and healthcare data security best practices

What We're Looking For

Strong ownership mindset - you ship outcomes, not just code
Comfortable with ambiguity in a fast-moving startup environment
Bias for action - you move fast and iterate pragmatically
Systems thinker - you look beyond your ticket and contribute to larger architectural decisions
Reliability-first mindset - you build systems that clinicians can depend on for critical care decisions

Why Join Us

Impact at scale: The systems you build directly power AI workflows that accelerate cancer research and improve patient outcomes globally
Cutting-edge problems: Work on complex, data-intensive systems at the intersection of AI, healthcare, and scale
World-class team: Collaborate with top talent across AI, engineering, and product with best-in-industry compensation
Culture that ships: Fast-paced, ownership-driven environment with company-sponsored workations (Bali, Sri Lanka, Goa, and more)

Perks & Benefits

Lunch provided at the office — one less daily decision
Flexible working hours — we care about output, not clock-ins
Comprehensive health insurance for you and your family
Zomato meal benefits for early starts and late nights

SDE2 Software Development Engineer II