Backend Jobs in United States
There are 5,635 open Backend jobs in United States on freehire right now. 774 of them were posted recently. The skills employers ask for most often are api, cloud and ai.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| USD | year | $166,500 | $192,050 | $215,050 | 1,400 |
| USD | hour | $62 | $69 | $76 | 28 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- api 44%
- cloud 42%
- ai 38%
- python 35%
- aws 33%
- java 32%
- distributed-systems 24%
- kubernetes 23%
How the work is done
- Remote 860 · 15%
- Hybrid 742 · 13%
- Onsite 362 · 6%
Visa sponsorship offered in 39% of the 1,596 postings that state a position on it.
Seniority
- Senior 3,105
- Lead 431
- Staff 393
- Principal 104
- Middle 49
- C-level 43
Who is hiring
- 501-1000 employees 925
- 1000+ employees 915
- 51-200 employees 585
- 11-50 employees 285
- 201-500 employees 46
- 1-10 employees 14
Lead Backend Engineer (Go, AWS) — Cloud & Microservices Leader
Lead backend engineering for financial services using Go and AWS, designing cloud-native microservices and mentoring engineers.
Remote Senior Node.js Backend Engineer (AWS, Microservices)
SourceDirect Talent is seeking a Remote Senior Backend Node.js Engineer proficient in building and maintaining large-scale Node.js microservices. This role involves developing innovative digital experiences and…
Hybrid Senior Java Backend Engineer – Scalable Systems
Builds and maintains scalable Java backend services and APIs for a global financial trading platform, focusing on robust, risk-aware systems.
Senior Java Backend Engineer — AWS & Microservices
Designs and builds secure, scalable Java backend services for asset and wealth management platforms using Spring Boot and AWS.
Go Backend Engineer - Voice-Driven Retrieval
Build secure, scalable Go backend services for a voice-driven content retrieval system, focusing on authentication and containerization.
Lead Backend Engineer: Cloud, Microservices & Data
Lead backend engineers building and scaling cloud-based microservices for Capital One’s card decisioning and customer experience systems.
Senior Backend Engineer - Python, Microservices, Cloud
Senior Backend Engineer designs and builds scalable Python microservices and APIs, maintains cloud data platforms, and collaborates with product and data teams.
Senior Lead Backend Engineer – Java/Scala, AWS
Lead backend engineering for financial services using Java/Scala and AWS, guiding a team to build scalable microservices and cloud solutions while ensuring regulatory compliance.
Golang Backend Engineer – Voice-Driven Content Platform
Builds secure, scalable Go backend services for a voice-driven content platform using Linux, Docker, and Kubernetes, focusing on authentication and enterprise security.
Lead Software Engineer, Back End (Golang, AWS)
Lead a team building cloud-based microservices in Go and AWS to automate data access and regulatory compliance for Capital One’s financial platform.
Senior Backend Tech Lead — Golang, Java & AWS
Lead backend engineering for cloud-based financial services using Java, Go, and AWS, mentoring engineers and delivering microservices that power millions of customers.
Lead Software Engineer, Back End (Java, Golang, AWS, CI/CD)
Lead backend engineers building cloud-native microservices in Java/Golang on AWS to power real-time credit decisions and customer experiences for millions of users.
NodeJS Backend Developer
Builds AWS Lambda functions and serverless apps for a contact-center platform, integrating Amazon Connect, Lex, APIs, and CRM to create secure IVR and self-service flows using Node.js.
(USA) Staff, Software Engineer_BACKEND
Lead the design and delivery of scalable platform capabilities, cloud-native infrastructure, and AI/ML frameworks while mentoring teams and guiding full software lifecycle.
Senior Software Engineer (Backend)-AdTech
Build and optimize a real-time ad bidding engine that processes millions of requests per second with sub-100ms latency, integrating ML models and distributed systems.