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
.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract and Payment Terms
------------------------------
You will be engaged as an independent contractor.
This is a fully remote role that can be completed on your own schedule.
Projects can be extended, shortened, or concluded early depending on needs and performance.
Your work at will not involve access to confidential or proprietary information from any employer, client, or institution.
* Payments are weekly on Stripe or Wise based on services rendered.
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