AI Resume Builder
JOIN NOW Post Job
Trustana
AI

DevOps and MLOps Engineer

Trustana · Singapore · $90k - $100k

Actively hiring Posted about 2 years ago

DevOps and MLOps Engineer

You will be instrumental in managing our cloud-based resources, particularly in AWS, and driving innovations in our deployment strategies, with the opportunity to engage in MLOps projects.

Responsibilities:

  • Cloud Services Management: Manage and optimize AWS services, including ECS, RDS, Lambda, and Step Functions, ensuring efficient operation and scalability.
  • Infrastructure as Code (IaC): Use Terraform and other IaC tools to build and maintain scalable and efficient cloud infrastructure.
  • Automation and Integration: Develop automation strategies to streamline both software deployment cycles and machine learning model deployments.
  • Monitoring and Performance: Implement and maintain monitoring systems for both applications and infrastructure, addressing performance issues to ensure high availability.
  • MLOps Implementation: Design and deploy machine learning models efficiently across various environments, ensuring robust, scalable, and repeatable processes.

Requirements:

  • Experience: 3-5 years in DevOps, with additional experience in MLOps required.
  • Cloud Expertise: Strong experience with AWS services such as ECS, RDS, Lambda, and Step Functions. Knowledge of Azure is a plus.
  • IaC Proficiency: Extensive experience with Terraform and other infrastructure as code technologies.

 

What We Offer:

An opportunity to work in a diverse, multicultural tech environment.

A platform to lead and shape the future of SaaS B2B applications in ecommerce.

Competitive compensation and a commitment to your professional growth.

Tags & focus areas

Used for matching and alerts on DevFound
Engineer Devops Aws Terraform Azure
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support