Job Description

hiring on behalf of a leading AI lab for an experienced Backend & DevOps Engineer

to design, build, and scale

microservices-based infrastructure

that powers next-generation AI systems. You'll

own both core backend services and infrastructure automation

, ensuring distributed systems are

fast, reliable, and secure

. This position blends

software engineering, DevOps, and system design

, working closely with research and engineering teams to deliver

production-grade, scalable AI infrastructure

.

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 system performance and reliability. Continuously improve automation, deployment speed, and operational efficiency.

Requirements

----------------


3+ years of experience in

backend engineering and/or DevOps

roles. Strong understanding of

microservices architecture

and

API design

. Proficiency in

Go, Python, Node.js, or Java

. Hands-on experience with

Docker, Kubernetes

, and

cloud environments

(AWS/GCP). Familiarity with

Terraform, Helm, ArgoCD, or GitHub Actions

. Experience with

databases

(PostgreSQL, MongoDB, Redis) and

message queues

(Kafka, RabbitMQ, NATS). Solid grasp 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

, or

edge computing

.

Pay & Work Structure

-------------------------


You'll be classified as an

hourly contractor

. Paid weekly via Stripe Connect, based on hours logged. * Remote and flexible working style.