Backend Engineer: Scalable APIs & Data Pipelines

Evlo AI; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Evlo AI is seeking a backend engineer to own core services powering its product offerings. You will design REST/gRPC APIs, build data pipelines, and shape distributed systems that scale for thousands of users.

You will collaborate with frontend and mobile teams, write tests, maintain CI/CD, and drive reliability with monitoring and incident response while optimizing for performance and resilience in a cloud environment.

Qualifications

• 3–7 years of backend software engineering experience in production at scale.
• Proficiency in at least one backend language: Go, Python, Java, or Kotlin.
• Experience with relational and NoSQL databases and query optimization.
• Hands-on cloud infrastructure experience (AWS, GCP, or Azure) and containers (Docker, Kubernetes).
• Bachelor's degree in Computer Science or equivalent practical experience.
• Experience designing public-facing APIs and collaboration with frontend/mobile teams.
• Bonus: Kafka, Terraform, multi-tenant SaaS architectures.

Responsibilities

• Design and implement REST and gRPC APIs with clear contracts.
• Build and optimize data models and queries for fast reads.
• Develop event-driven services using Kafka for asynchronous workflows.
• Improve reliability and observability; own on-call and incident response.
• Plan for scale with caching, horizontal scaling, and load testing.
• Write unit/integration tests and maintain CI/CD pipelines.
• Collaborate with frontend, mobile, and product teams to ship features end-to-end.

Skills

Backend development

API design

Distributed systems

Testing & CI/CD

Cross-functional collaboration

Code reviews

Education

Bachelor's degree in CS or equivalent

Tools

PostgreSQL

MySQL

Redis

DynamoDB

Kafka

Terraform

Docker

Kubernetes

AWS

GCP

Azure

Job description

Evlo AI is seeking a backend engineer to own core services powering its product offerings. You will design REST/gRPC APIs, build data pipelines, and shape distributed systems that scale for thousands of users.

You will collaborate with frontend and mobile teams, write tests, maintain CI/CD, and drive reliability with monitoring and incident response while optimizing for performance and resilience in a cloud environment.