Backend Engineer and Devops Engineer

6 days ago

Singapore River Private Advertiser Full time $60,000 - $120,000 per year

Company: Mercor

Employment Type: Remote / WFH

Application Method:

Apply here:

About Mercor

Mercor is hiring on behalf of a leading AI lab for an experienced Backend & DevOps Engineer to design, build, and scale microservices-based infrastructure powering next-generation AI systems. This role blends backend engineering, DevOps, and distributed systems architecture, supporting research and engineering teams in delivering production-grade, scalable infrastructure.

1. Role Overview

The Backend & DevOps Engineer will be responsible for developing and maintaining high-performance, distributed backend systems and automated infrastructure. You will work on microservices, CI/CD pipelines, Kubernetes environments, and cloud orchestration to ensure reliability, scalability, and security across the AI lab's core systems.

This is a remote, project-based opportunity ideal for engineers experienced in modern cloud-native systems and automation.

2. Key Responsibilities
  • Architect and develop high-performance, fault-tolerant microservices.
  • Build and maintain CI/CD pipelines, deployment workflows, and infrastructure-as-code.
  • Manage Kubernetes clusters, cloud infrastructure (AWS/GCP), and container orchestration.
  • Implement monitoring, observability, and security best practices.
  • Collaborate with backend and AI teams to optimize performance and reliability.
  • Continuously improve automation, deployment speed, and operational efficiency.
3. Ideal Qualifications
  • 3+ years of experience in backend engineering and/or DevOps roles.
  • Strong understanding of microservices architecture and API design.
  • Proficiency in Go, Python, , or Java.
  • Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS/GCP).
  • Familiarity with Terraform, Helm, ArgoCD, or GitHub Actions.
  • Experience with databases such as PostgreSQL, MongoDB, Redis, and message queues like Kafka, RabbitMQ, or NATS.
  • Strong understanding of monitoring stacks (Prometheus, Grafana, ELK) and CI/CD principles.
Bonus Points
  • Experience in AI/ML infrastructure or large-scale distributed systems.
  • Contributions to open-source DevOps or backend frameworks.
  • Knowledge of GitOps, serverless computing, or edge computing.
4. Application Process
  • Submit your resume via the application link.
  • You may be asked to complete a short technical qualification task.
  • Successful applicants will be contacted with next steps within a few days.

Apply here:

You will only be shortlisted for an interview after registering an account and applying through the job listing on the website.

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