Mid-Level Backend Web Developer Resume Example
Mid-level backend web developers get hired when they prove service ownership measured by performance gains, not by listing tools without architectural context.
This resume is for mid-level backend developers who own end-to-end feature delivery and mentor junior peers, but aren't yet responsible for org-wide technical roadmaps.
- Ownership of mission-critical services or microservices
- Evidence of technical optimizations tied to system performance
- Ability to elevate team quality through code reviews and mentoring
- Professional summary highlighting specific technical stacks
- Experience section utilizing nested bullet points for readability
- Skills categorized by languages, databases, and infrastructure
Daniel Lin
Summary
Experience
- Architected a Go-based authentication service handling 450,000+ monthly active users with 99.99% uptime.
- Optimized PostgreSQL query performance for the dashboard API, reducing average response latency from 145ms to 82ms.
- Mentored 2 junior developers on backend testing patterns and conducted 100+ technical code reviews to ensure system reliability.
- Scaled the real-time notification engine to support 12,000 concurrent websocket connections using Redis and Pub/Sub architecture.
- Developed 8 new destination integrations for the Segment platform using Node.js and TypeScript, expanding the partner ecosystem.
- Refactored data ingestion pipelines, decreasing processing errors by 32% across 5 core microservices.
- Migrated legacy background worker tasks to a distributed queue system, improving overall task throughput by 40%.
Education
Skills
Python · SQL · Git · REST APIs · Go · Node.js · PostgreSQL · Docker · AWS · Redis · Microservices · System Design · Architecture
What makes this resume effective
- This resume meets the hiring bar for mid backend developers by demonstrating service ownership, measurable performance gains, and technical mentorship.
- Notice how Daniel Lin highlights the migration to a distributed queue system at Segment, which signals an understanding of scalability and system reliability.
- See how the Supabase entry quantifies the impact of the Go-based auth service with 99.99% uptime, proving the candidate can handle high-stakes production environments.
How to write better bullet points
Wrote code for the authentication system and fixed bugs.
Architected a Go-based authentication service handling 450,000+ monthly active users with 99.99% uptime.
It replaces generic activity with specific ownership of a high-scale service and a reliability metric.
Improved database performance for the dashboard.
Optimized PostgreSQL query performance for the dashboard API, reducing average response latency from 145ms to 82ms.
It specifies the technology and provides a 'before and after' metric to prove the optimization's value.
Helped junior developers with their code.
Mentored 2 junior developers on backend testing patterns and conducted 100+ technical code reviews to ensure system reliability.
It quantifies the mentorship and ties the activity to the outcome of system reliability.
Mid-Level Backend Web Developer resume writing tips
- Connect technical refactors to specific performance metrics like latency or error rates.
- Highlight instances where you led feature design from architecture to deployment.
- Include evidence of code quality contributions, such as mentoring or review volume.
Common mistakes
- Focusing only on tickets closed rather than the architectural 'why' behind the work.
- Listing tools without showing the scale of the data or traffic handled.
- Omitting the impact of cross-functional collaboration on final product delivery.
Frequently asked questions
Is this resume right for someone with 3-5 years of experience? Yes if you have transitioned from executing tasks to owning features and services independently.
Yes if you have transitioned from executing tasks to owning features and services independently.
Yes, if you have moved beyond task execution into owning features. It is less suitable if you are still working under heavy supervision on minor bug fixes.
What if my background is in a different stack like Java or C#? Yes, because backend principles like scalability are universal; prioritize outcomes and system optimizations over specific language syntax.
Yes, because backend principles like scalability are universal; prioritize outcomes and system optimizations over specific language syntax.
Backend principles like scalability and latency are universal, so you should keep the focus on the outcomes while swapping the specific languages. Managers care more about your ability to optimize systems than the specific syntax.
What if I don't have metrics like 99.99% uptime? Emphasize impact by describing logic complexity or manual hours saved through automation to show a clear 'before and after' state.
Emphasize impact by describing logic complexity or manual hours saved through automation to show a clear 'before and after' state.
While Daniel Lin uses high-scale metrics, you can emphasize impact by describing the complexity of the logic or the number of manual hours saved through automation. Focus on the 'before and after' state of the system you improved.
How much should I change before applying? Maintain the impact-driven structure while ensuring the tech stack and metrics reflect the specific scale of the target company.
Maintain the impact-driven structure while ensuring the tech stack and metrics reflect the specific scale of the target company.
You should keep the structure of the impact-driven bullets but ensure the tech stack in the skills section matches the job description exactly. Tailor the specific metrics to reflect the scale of the companies you have worked for.
What do hiring managers focus on at this level? They prioritize evidence of technical judgment, specifically quantified latency and uptime metrics that prove you can manage production services.
They prioritize evidence of technical judgment, specifically quantified latency and uptime metrics that prove you can manage production services.
In this resume, Daniel Lin quantifies latency and uptime, which is the level of specificity recruiters expect to see to trust you with production services. They are looking for evidence that you can contribute to technical growth without hand-holding.
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