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.
Requirement
s3+ years of experience in backend engineering and/or DevOp s roles
.Strong understanding of microservices architectur e and API desig n
.Proficiency in Go, Python, Node.js, or Jav a
.Hands-on experience with Docker, Kubernete s, and cloud environment s (AWS/GCP)
.Familiarity with Terraform, Helm, ArgoCD, or GitHub Action s
.Experience with database s (PostgreSQL, MongoDB, Redis) and message queue s (Kafka, RabbitMQ, NATS)
.Solid grasp of monitoring stack s (Prometheus, Grafana, ELK) and CI/CD principle s
.
Bonus Poin
tsExperience i n AI/ML infrastructu re o r large-scale distributed syste m
s.Contributions t o open-sour ce DevOps or backend framework
s.Knowledge o f GitO ps , serverle ss, o r edge computi n
g.
Pay & Work Struct
ureYou'll be classified as an hourly contrac t
or.Paid weekly via Stripe Connect, based on hours logg
ed.Remote and flexible working sty
le.