Backend Engineer — Scalable Systems

Awake Solutions; United States; Hybrid; USD 1,000 - 1,800; Full time

Benefits offered by this job

Cloud credits

Learning budget

Flexible remote or hybrid

Full-time position

Job summary

Awake Solutions is seeking a backend engineer to design and operate high-throughput services powering web traffic and AI workloads. You will focus on reliability, scale, and developer productivity, partnering with infrastructure and ML teams.

Responsibilities include building scalable microservices in Python/Go/Java, tuning performance and caching, and implementing observability for production health. A flexible remote or hybrid setup is offered.

Qualifications

• 4+ years of backend engineering experience in production systems.
• Hands-on with distributed systems, message queues, and caching strategies.
• Comfort with cloud-native patterns and Kubernetes.
• Strong debugging and systems-thinking approach.

Responsibilities

• Design and ship scalable microservices and APIs using Python, Go, or Java.
• Tune systems for performance, caching, and database scalability across SQL and NoSQL.
• Build observability, distributed tracing, and error-handling patterns for production health.
• Partner with ML teams to design model inference pipelines.
• Contribute to architectural decisions around distributed systems and data flow.

Skills

Backend engineering

Distributed systems

Kubernetes

Caching

Debugging

Tools

Go

Python

Java

Job description

Role overview

A backend engineering role focused on building and operating the services behind high-throughput, low-latency products that serve both web traffic and AI workloads. The work centers on reliability, scale, and developer productivity, with regular collaboration across infrastructure and machine learning teams.

Responsibilities

• Design and ship scalable microservices and APIs using languages such as Python, Go, or Java
• Tune systems for performance, intelligent caching, and database scalability across SQL and NoSQL stores
• Build observability, distributed tracing, and error-handling patterns that keep services healthy in production
• Partner with machine learning teams to design efficient model inference pipelines
• Contribute to architectural decisions around distributed systems, messaging, and data flow

Requirements

• 4+ years of backend engineering experience building high-scale, production-grade systems
• Hands-on experience with distributed systems, message queues, and caching strategies
• Comfort with cloud-native patterns and container orchestration, including Kubernetes
• Strong debugging skills and a systems-thinking approach to problem solving

Benefits and work setup

• Competitive salary in the range of approximately ₹95,000-₹170,000 INR, depending on experience
• Cloud credits allocated for testing and development work
• Dedicated learning budget to support career development
• Flexible remote or hybrid working arrangements
• Full-time position