Backend Engineer Resume Example
A backend engineer resume is evaluated on system ownership measured by latency and throughput metrics, not task completion without technical context.
This resume is for backend engineers who own end-to-end feature development and system performance, but aren't yet responsible for org-wide architectural roadmaps or engineering department strategy.
- Ownership of critical API services and database performance
- Measurable impact on system latency, throughput, or scalability
- Collaboration across engineering teams to ship complex features
- Technical skills categorized by language and infrastructure
- Experience bullets prioritized by technical complexity and metrics
- Education and location details placed in the header and footer
Hassan Amin
Summary
Experience
- Architected a real-time event processing system using Go and Redis, handling peak loads of 8,500 requests per second.
- Optimized PostgreSQL query performance for multi-tenant environments, reducing average API response latency from 145ms to 82ms.
- Led the implementation of a new authentication service, improving user sign-up conversion by 22% through streamlined OAuth integrations.
- Scaled internal monitoring infrastructure using Prometheus and Grafana, increasing system visibility across 12 microservices.
- Developed 6 core API endpoints for internal resource management tools using Python and FastAPI.
- Refined CI/CD pipelines in GitHub Actions, cutting deployment times by 35% and reducing build failures.
- Mentored 2 engineering interns on unit testing best practices and code review standards.
Education
Skills
Python · SQL · Git · REST APIs · Go · PostgreSQL · Docker · AWS · Redis · Microservices · Performance Optimization · Java · CI/CD · System Design
What makes this resume effective
- This resume meets the hiring bar for backend engineers by demonstrating feature ownership, performance optimization, and cross-functional impact.
- At Supabase, Hassan Amin provides specific metrics like reducing latency from 145ms to 82ms, which signals a mastery of database performance.
- See how the bullet regarding the real-time event processing system mentions handling 8,500 requests per second to prove the candidate can manage scale.
How to write better bullet points
Worked on the company's authentication service and added new features.
Led implementation of a new authentication service, improving user sign-up conversion by 22% through streamlined OAuth integrations.
It identifies the specific business outcome and the technical method used to achieve it.
Fixed slow database queries to make the app faster.
Optimized PostgreSQL query performance for multi-tenant environments, reducing average API response latency from 145ms to 82ms.
It provides the specific database technology and quantifies the performance gain in milliseconds.
Used GitHub Actions for the team's deployment process.
Refined CI/CD pipelines in GitHub Actions, cutting deployment times by 35% and reducing build failures.
It demonstrates an active improvement to developer productivity rather than passive tool usage.
Backend Engineer resume writing tips
- Link every backend optimization to a specific system performance metric like latency or throughput.
- Highlight instances where you owned a feature from initial design through production deployment.
- Mention specific tools like Redis or Prometheus when describing how you solved reliability challenges.
Common mistakes
- Listing tools without context. Avoid just saying 'Used Docker'; instead, explain how containerization improved your deployment workflow or environment parity.
- Focusing only on tickets closed. Professionals in this role must show they understand the 'why' behind a feature, not just that they completed tasks.
- Omitting database experience. Even for API-heavy roles, failing to mention query optimization or schema design suggests a lack of full-stack backend ownership.
Frequently asked questions
Is this resume right for someone with 3 to 7 years of experience? Yes, if you show feature ownership; no, if you only work on tasks assigned by a lead without providing design input.
Yes, if you show feature ownership; no, if you only work on tasks assigned by a lead without providing design input.
Yes, if you have moved beyond basic bug fixes to owning features. No, if you are still exclusively working on tickets assigned by a lead without providing design input.
What if my background is in a monolith environment instead of microservices? Yes, because performance principles like modularity and PostgreSQL optimization apply regardless of your system's architecture.
Yes, because performance principles like modularity and PostgreSQL optimization apply regardless of your system's architecture.
The principles of optimization and ownership remain the same. Focus on how you improved modularity or performance within that codebase, much like Hassan did with PostgreSQL at Supabase.
What if I don't have access to exact latency or throughput numbers? Use directional indicators like reduced server costs or halved migration times to show impact when exact throughput numbers are unavailable.
Use directional indicators like reduced server costs or halved migration times to show impact when exact throughput numbers are unavailable.
Use directional metrics or scale indicators. In this resume, Hassan uses specific numbers, but you can describe impact through 'reduced server costs' or 'halved the time required for data migrations'.
How much should I change if I'm applying for a role focused on Go instead of Python? Keep the impact-heavy structure but swap technology mentions and prioritize language-specific ecosystems like Gin or Echo to match the description.
Keep the impact-heavy structure but swap technology mentions and prioritize language-specific ecosystems like Gin or Echo to match the description.
Keep the structure of the impact-heavy bullets but swap the technology mentions. Ensure your skills section prioritizes Go and related ecosystems like Gin or Echo to match the job description.
What do hiring managers focus on for backend roles? They prioritize evidence of data integrity and system reliability at scale, specifically through work with databases and real-time processing.
They prioritize evidence of data integrity and system reliability at scale, specifically through work with databases and real-time processing.
They look for evidence that you can handle data integrity and system reliability at scale. Highlighting work with PostgreSQL and real-time processing signals that you understand the stakes of backend infrastructure.
Related resume examples
Get a Backend Engineer resume recruiters expect
Use this example as a base and tailor it to your job description in seconds.
Generate my resume