20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You spend a lot of time writing and testing server-side code, fixing bugs, and deploying updates. Morning stand-up, then 2–4 hours of coding, code reviews, and troubleshooting production issues (logs, errors, slow queries).
Afternoons often include design work: updating software design specs, planning deployments with AWS CloudFormation or EC2, and checking performance after release using monitoring tools. You also answer user-support tickets and document changes in project reports or README files.
Start with Amazon Web Services basics: EC2 (virtual servers) and CloudFormation (infrastructure-as-code) so you can launch and reproduce environments. Learn one managed NoSQL and one SQL-style option: Amazon DynamoDB for key-value/NoSQL and Amazon Redshift for analytics or large-scale queries.
Also get comfortable with deployment and debugging tools, and a bit of AJAX for server–browser communication. Hands-on labs or tutorials that launch EC2 instances and provision DynamoDB tables are best.
According to the U.S. Bureau of Labor Statistics (BLS) for 2025, there are about 1,687,890 employed in related roles. The median pay is $135,980 per year. The lowest tenth earn about $82,460, and the top tenth about $214,670 per year.
Salaries vary by city, company size, and experience. Large cloud skills (AWS, DynamoDB) and full ownership of deploys/monitoring usually push you toward the top end.
Build practical projects: a REST API, a small service on EC2, and a simple DynamoDB-backed app. Practice writing design specs, deploying with CloudFormation, and running tests. Use online courses and the AWS free tier to keep costs low.
Contribute to a small open-source backend, do code reviews, and write documentation. Employers care about concrete examples of building, deploying, debugging, and maintaining systems.
Backend developers build server-side logic, databases, and APIs—things like data storage, performance tuning, security, and deployment on EC2 or DynamoDB. Frontend developers build user interfaces, using tools that might come from Adobe Creative Cloud for design, and handle client-side code and UX.
If you see AJAX mentioned, that’s where frontend and backend touch: frontend sends AJAX requests to backend APIs. Backend focuses on data, security, scaling, and maintaining services after release.
Yes, but treat AI as an assistant, not an oracle. Use AI to generate boilerplate code, tests, or suggestions, then run static analysis, code reviews, and security scans. Always check AI output for injection risks, incorrect access controls, and insecure defaults before deploying.
Record changes in documentation and your deployment templates (CloudFormation). Never paste real credentials, secret keys, or customer data into public AI tools. Use internal, audited tools when possible.
Show you can design, implement, and deploy a small service: write API endpoints, choose data storage (DynamoDB vs. relational), and describe deploy steps using EC2 and CloudFormation. Be ready to read and review code, explain debugging steps, and discuss monitoring after release.
Also demonstrate writing a short design spec, explaining how you'd secure data, and describing how you'd fix a performance problem or roll out a version update. Practical examples beat vague claims.