Senior DevOps Engineer

3 days ago

Thane, India Gloroots Full time

Sr. DevOps Engineer - GCP

Company: Gloroots (Recrew.ai)

Location: Remote/Hybrid

Job Type: Full-Time


About Recrew.ai (Gloroots)

Recrew.ai is reimagining how organisations and recruiters hire talent globally. We are developing cutting-edge AI products with a robust API layer to make hiring a seamless and bais-free experience.


Leveraging AI, we provide scalable, secure solutions that enable organisations and hiring teams to make data-driven hiring decisions to hire the best talent across roles.


Position Overview

We are looking for a skilled DevOps Engineer with strong experience in GCP, DevSecOps, and a keen interest in LLM Ops to join our growing team. This role is essential to building secure, scalable infrastructure, supporting our AI solutions across the recruiting stack.


As a DevOps Engineer at Recrew.ai, you will be responsible for designing, implementing, and managing robust infrastructure on Google Cloud Platform (GCP) for both R&D, Development and Production environments. This includes deployment automation, security management, monitoring, LLM Ops, and VPN configurations. Your expertise will drive reliable, secure, and highly available backend and frontend services, supporting our mission to revolutionise recruiting with AI.


Key Responsibilities

  1. Design, deploy, and manage deployment of backend & frontend applications on GCP
  2. Set up and maintain managed databases with secure configurations, automated backups, etc
  3. Implement robust monitoring (Prometheus, Grafana) and logging solutions for tracking performance, alerting, and troubleshooting.
  4. Implement DevSecOps best practices within CI/CD pipelines, Conduct vulnerability assessments, and security audits and enforce compliance standards, ensuring security across deployed services.
  5. Monitoring, Automation, and Infrastructure Management
  6. Exposure to LLM Ops - Work closely with AI engineering teams to support infrastructure needs for large language models (LLMs).
  7. Gain experience in model deployment, scaling, and monitoring, helping optimise LLM operational requirements.


Qualifications

  1. 4+ years of experience in DevOps, with a focus on GCP and LLMOps.
  2. Strong proficiency with GCP services, including GKE, Cloud Storage, and managed databases.
  3. Hands-on experience with deployment of Django & React Apps, GitLab CI/CD, Nginx, etc
  4. Deep understanding of DevSecOps best practices, with experience securing CI/CD pipelines and cloud infrastructure.
  5. Proficiency with Postgres and MongoDB database management and configuration.
  6. Experience with VPN configuration for secure, restricted access to production infrastructure.
  7. Experience in LLM Ops, with exposure to AI/ML model deployment and operationalisation.


What We Offer

  1. Health Insurance cover for self & family.
  2. Opportunity to work with cutting-edge technologies and AI-driven products.
  3. A collaborative, innovative team environment focused on transforming the recruiting industry with AI.

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