DevOps / Site Reliability Engineer (SRE)
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 such as 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.
We have grown 10x in the last one year and are processing millions of documents monthly.
About the Role
We are looking for a
DevOps / Site Reliability Engineer
to help design, build, and maintain scalable, secure, and reliable infrastructure. In this role, you will work closely with engineering teams to streamline deployments, improve system reliability, and ensure our platforms run efficiently in production.
You will be responsible for building automation, managing cloud infrastructure, monitoring systems, and responding to incidents to maintain high availability and performance.
Key Responsibilities
Design, implement, and manage cloud-based infrastructure and deployment pipelines.
Build and maintain
CI/CD pipelines
to enable reliable and efficient software delivery.
Manage and optimize
containerized environments
using Kubernetes and Docker.
Automate infrastructure provisioning and configuration using
Terraform and Helm
.
Develop and maintain automation scripts using
Python and Bash
.
Monitor system health, performance, and reliability using logging and monitoring tools.
Troubleshoot production issues and participate in
incident response and root cause analysis
.
Ensure infrastructure security, network configuration, and system hardening best practices.
Collaborate with development teams to improve reliability, scalability, and deployment processes.
Maintain clear documentation for infrastructure, processes, and operational procedures.
Requirements
1+ years of experience
in DevOps, Site Reliability Engineering, or a related role.
Hands-on experience with at least one cloud platform (
AWS, Azure, or GCP
).
Strong experience with
Kubernetes, Docker, Jenkins, Terraform, and Helm
.
Proficiency in
Python and Bash scripting
.
Solid understanding of
Linux system administration
, networking concepts, and security practices.
Experience with
monitoring, logging, and incident response systems
.
Strong communication skills and the ability to document technical processes effectively.
Software development experience
is a plus.
Nice to Have
Experience deploying and scaling
AI/ML workloads in production environments
.
Familiarity with
single-tenant deployment models
.
Experience with
MLOps/AIOps platforms
such as SageMaker or Kubeflow.
Knowledge of
chaos engineering and disaster recovery strategies
.
Experience with
cloud cost optimization
strategies.
Relevant
cloud certifications (AWS, Azure, or GCP)
.
Why Join us ?
Impact at scale -
the AI you build directly accelerates cancer research and improves patient outcomes worldwide
Cutting-edge problems -
you’ll work on some of the hardest and most interesting LLM engineering challenges in a highly regulated industry.
World-class team -
collaborate with experts across AI, engineering, product, and oncology with best-in-industry compensation.
Culture that ships -
we’re a team that works hard and plays hard (company-sponsored workations in Bali, Sri Lanka, Goa, and more
Perks & Benefits:
Lunch Provided at the Office – one less daily decision, one happier employee.
Flexible Working Hours – we care about output, not clock-ins.
Health Insurance – comprehensive coverage for you and your family.
Zomato Meal Benefit – breakfast and dinner can be ordered when you come in early or leave late, because effort deserves fuel.