Mercor
Backend Engineer and Devops Engineer - Microservices
Mercor, San Francisco, California, United States, 94199
Mercor is 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
to Mercor.
Paid weekly via Stripe Connect, based on hours logged.
Remote and flexible working style.
#J-18808-Ljbffr
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
to Mercor.
Paid weekly via Stripe Connect, based on hours logged.
Remote and flexible working style.
#J-18808-Ljbffr