DevOps / Site Reliability Engineer

Triomics; India; On-site; INR 900,000 - 1,400,000; Full time

Benefits offered by this job

Health insurance

Meal benefit (Zomato)

Job summary

Triomics is seeking a DevOps/SRE to design, build, and maintain scalable, secure infrastructure in production. You will drive automation, cloud management, monitoring, and incident response to ensure high availability and performance.

You will implement CI/CD pipelines, manage Kubernetes and Docker environments, and automate provisioning with Terraform and Helm while writing Python and Bash scripts. Collaboration with engineering teams and thorough documentation are essential to success.

Qualifications

• Experience in DevOps or SRE role with cloud deployments.
• Strong automation and scripting skills are required.
• Ability to design and maintain secure, scalable infrastructure.

Responsibilities

• Design, implement, and manage cloud-based infrastructure and deployment pipelines.
• Build and maintain CI/CD pipelines for reliable software delivery.
• Manage and optimize containerized environments using Kubernetes and Docker.
• Automate provisioning with Terraform and Helm.
• Develop automation scripts using Python and Bash.
• Monitor system health, performance, and reliability.
• Respond to incidents and perform root-cause analysis.
• Ensure security and hardening of infrastructure.
• Collaborate with development teams to improve reliability and deployment processes.
• Maintain documentation for infrastructure and operations processes.

Skills

Kubernetes

Docker

Jenkins

Terraform

Helm

Python

Bash scripting

Linux administration

Networking concepts

Security practices

Monitoring/incident response

Tools

Kubernetes

Docker

Jenkins

Terraform

Helm

Job description

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 will 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 are a team that works hard and plays hard (company-sponsored workations in Bali, Sri Lanka, Goa, and more).
• 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.