Serverless Framework Jobs
6 Serverless Framework jobs currently listed
Browse 6 open positions that require Serverless Framework experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
By the numbers
- 3 companies hiring
- Mostly Mid roles
- Often paired with AWS, TypeScript, MongoDB, Node.js
- Top locations: London, Winnersh
Market insights
Vidrush is currently the most active employer hiring for Serverless Framework.
Seniority mix
- Mid 50%
- Senior 33%
- Lead 17%
Top hiring companies
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
Engineering manager
London, United Kingdom - English
Senior Software Engineer - Backend
Winnersh, United Kingdom - English
Backend Engineer (TypeScript/React + AWS Cloud) - AI / Agentic Applications
United Kingdom (Remote) - English
Backend Engineer (TypeScript/React + AWS Cloud) - Stripe / Billing systems
United Kingdom (Remote) - English
Frequently Asked Questions
- There are currently 6 open positions that list Serverless Framework as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Serverless Framework jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.