You have the experience.
Let the JD guide how to present it.
ApplyFit restructures your real background around each role's priorities —
so when the right opportunity comes, your resume already speaks to it.
2 free credits. Save them for the roles that actually matter.
See the rewrite first
A tailored resume shouldn't turn you into a different candidate.
It should make the fit easier to see and easier to explain.
This sample shows how ApplyFit strengthens weak bullets, surfaces supported job-description language, and carries the same story from the resume into the cover letter without changing the facts.
The strongest evidence for this role moves up, so the match is faster to see.
Each stronger bullet is still grounded in experience the candidate can explain later.
Readable headings and exact role wording appear where the experience truly supports them, without keyword stuffing.
The writing gets sharper without drifting into consultant-style or obviously AI-sounding language.
Before
Generic resume
After
Tailored for this role
Tailored against
Senior Platform Engineer — Reliability & Infrastructure
Move or drag across the document to compare the original and tailored versions.
Backend engineer with experience building APIs, supporting production systems, and working with AWS-based infrastructure. Comfortable collaborating across product, infrastructure, and support teams while helping reliability improve as systems grow.
- • Worked on the backend services that handle order processing and fulfillment for mid-market e-commerce customers.
- • Helped the team set up monitoring dashboards, alerting, and runbook notes for around 12 production services using Prometheus and Grafana.
- • Took part in the on-call rotation and was often the main backend point person coordinating with infrastructure and support during P0/P1 incidents.
- • Worked with the infrastructure team on moving services from EC2 to Kubernetes and updating rollout documentation.
- • Improved a checkout API endpoint that was causing problems - response time went from 1.8s to 240ms after query tuning and caching changes.
- • Helped write Terraform configs for AWS resources and reviewed infrastructure changes before deployment.
- • Wrote internal notes after incidents and turned them into reference docs for the rest of the team.
- • Built Python scripts to speed up repetitive operational cleanup and health-check tasks.
- • Built and maintained REST APIs for core project management features used by roughly 30,000 active users.
- • Helped migrate the main PostgreSQL database from a self-hosted server to AWS RDS and handled parts of the cutover checklist.
- • Assisted in setting up CI/CD pipelines using GitHub Actions and Docker and cleaned up failing deployment jobs.
- • Worked on Redis caching for frequently accessed endpoints and project views to improve response times.
- • Helped with Terraform work for AWS resources such as VPC, ECS, RDS, and S3 and removed outdated configs.
- • Did code reviews, answered onboarding questions, and documented deployment steps for two new engineers.
- • Helped develop backend features for a consumer mobile app and shipped bug fixes for weekly releases.
- • Fixed bugs, wrote unit and integration tests, and supported release handoffs to the iOS and Android teams.
Go, Python, SQL, REST APIs, gRPC, AWS (EC2, RDS, EKS, S3, CloudWatch), Docker, Kubernetes, Terraform, PostgreSQL, Redis, Prometheus, Grafana, DataDog, GitHub Actions, Jenkins
Platform-leaning backend engineer with 6+ years improving service reliability, incident response, and infrastructure-as-code work across AWS-based SaaS systems. Strongest when operational pain needs to become clearer observability, calmer on-call execution, and more reviewable infrastructure changes.
- • Supported backend services for order processing and fulfillment, where production issues surfaced quickly and reliability work had immediate customer impact.
- • Helped expand observability coverage across 12 production services by maintaining Prometheus alerting, building Grafana dashboards, and turning team notes into runbooks engineers could use during on-call.
- • Was often the main backend point person during P0/P1 incidents, coordinating response with infrastructure and support partners and documenting follow-up work after resolution.
- • Partnered on the EC2-to-Kubernetes migration, updating rollout plans and deployment documentation so service cutovers stayed predictable.
- • Diagnosed and resolved a checkout API latency regression, reducing response time from 1.8s to 240ms through query tuning and caching changes.
- • Helped write Terraform configuration for recurring AWS changes and reviewed deployment updates before release, making infrastructure work easier to audit and reuse.
- • Turned post-incident notes into reusable operational docs and escalation references, reducing dependency on tribal knowledge during handoffs.
- • Built Python automation for repetitive maintenance and health-check tasks, lowering manual operational cleanup work.
- • Maintained REST APIs serving 30,000 active users and partnered with product engineers on endpoint behavior and backward compatibility.
- • Executed key parts of the PostgreSQL migration to AWS RDS, including cutover preparation, backup validation, and post-migration checks.
- • Built CI/CD pipelines in GitHub Actions with Docker and cleaned up failing deployment jobs so release status was easier to trust.
- • Designed Redis caching for high-traffic endpoints, reducing pressure on the primary database for frequently accessed project views.
- • Consolidated Terraform changes for VPC, ECS, RDS, and S3 into version-controlled infrastructure updates instead of one-off edits.
- • Mentored two new engineers through code review and deployment walkthroughs while documenting release steps and operational checks.
- • Shipped backend features and bug fixes for a consumer mobile app, with unit and integration test coverage tied to weekly releases.
- • Supported release handoffs to iOS and Android teams by troubleshooting backend regressions before launch.
Languages: Go, Python, SQL
Reliability: service reliability, incident response, runbooks, monitoring, alerting
Infrastructure: AWS (EC2, RDS, EKS, S3), Kubernetes, Terraform, infrastructure as code, Docker
Data & Delivery: PostgreSQL, Redis, GitHub Actions, Jenkins, REST APIs, gRPC
Observability: Prometheus, Grafana, DataDog
"Much of my recent work has centered on the point where reliability stops being abstract - order processing, on-call response, and the infrastructure decisions that determine how calmly product teams can ship."
What stood out to me in Meridian's description was not just the stack, but the kind of operational ownership the role is asking for. You're looking for someone who can make reliability visible, run calmer incident response, and turn infrastructure work into systems the rest of engineering can trust. That is the part of backend work I have increasingly gravitated toward over the past several years.
At CloudStack, I support the order-processing and fulfillment services where production issues surface quickly and customer impact is immediate. I helped expand the Prometheus and Grafana coverage around roughly 12 production services, kept alerting and runbook notes usable, and often became the main backend point person during incidents while coordinating with infrastructure and support. The part I enjoy most is not the fire drill itself, but the follow-through afterward: turning incident notes into better runbooks, clearer escalation paths, and fewer surprises the next time around.
I have also enjoyed the infrastructure side of the work. At CloudStack I partnered on the EC2-to-Kubernetes migration, updated rollout documentation, and helped write Terraform configuration for recurring AWS changes; at BuildCraft I helped execute the PostgreSQL migration to AWS RDS, cleaned up CI/CD in GitHub Actions, and improved Redis caching for high-traffic endpoints. None of that was glamorous work, but it made the systems easier to operate, easier to review, and easier for product teams to ship against with confidence.
That is why Meridian feels like a strong fit. The combination of service reliability, incident response, infrastructure as code, and developer workflow improvement is exactly the mix I want to keep leaning into. I would be excited to help define the standards for observability and change management while staying close to the real operational problems your engineers are dealing with.
Sam Taylor
No invented metrics, titles, or ownership beyond what the source material actually supports.
The prompt pulls these requirements forward only when the source resume actually supports them.
The same angle carries into the cover letter so the application reads as one story.
How it works
Drag and drop or click to upload
Supported formats: PDF, DOCX, DOC, ODT, TXT · Any language
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Show HelpWhy not just use ChatGPT?
ChatGPT can be useful for turning your resume and a job description into a draft.
ApplyFit is designed to turn that draft into something you can actually submit.
ChatGPT
The quality of the output depends heavily on your prompt and how carefully you review it.
The result can still sound AI-written — with mechanical phrasing, repetitive wording, or over-polished language.
You still have to judge whether anything feels exaggerated or drifts beyond your actual experience.
In many cases, you end up with a strong draft — but not necessarily something ready to submit.
ApplyFit
Uses a more structured review and rewrite process to get you closer to something you can actually submit.
Reduces awkward AI patterns while preserving the tone and character of your original resume.
Reorganizes your experience around what the job actually asks for without stretching beyond what you've done.
The goal isn't just better wording. It's a version a recruiter can understand quickly, and one you can still defend in the interview.
What targeted resumes and cover letters can improve
Research on how role matching affects resume and cover letter outcomes
In an analysis of 500K+ startup job applications, tailored resumes showed a 2.1× higher interview conversion rate compared to generic submissions.
In a study of 1M+ applications, resumes that matched the target job title keywords had a 3.5× higher probability of landing an interview.
In a recruiter survey, 83% of recruiters said a resume tailored to the specific open role significantly increases a candidate's chance of getting an interview.
Simple, transparent pricing
1 credit = 1 tailored resume & cover letter
Starter
$5
5 credits
Standard
$10
15 credits
Pro
$20
40 credits
Why credits instead of a subscription?
Thoughtful applicants usually aren't trying to apply everywhere. They focus more carefully on the opportunities that truly fit their background. ApplyFit is designed for that kind of process, with credits instead of a subscription and an editable Word file included with each result.
Free beta
Practice answers that match what you actually submitted
If a role moves forward, ApplyFit can generate interview questions tied to that specific job description and the resume you submitted. Practice in your browser with local recording, playback, and downloadable review.
Free beta. Recording and playback happen in your browser. Speech-to-text behavior depends on your browser and device.
Role-specific questions
Questions based on the job description and the tailored resume you used for that application.
General practice mode
Use the built-in question bank anytime, even without a specific application.
Browser-based practice
Record, replay, and download practice sessions in your browser. Transcript support depends on the speech recognition available in your browser.
Testimonials
From Our Users
"Used it to rebuild my resume — clean output and easy to adjust."
Deepak K.
"My interview rate went up. Didn't expect the video‑practice feature, but it turned out genuinely helpful."
Susan Keller
"Does exactly what it claims. Nothing inflated, nothing fabricated."
Yuki Tanaka
"Other tools added things I couldn't defend. This one stayed close to what I actually did."
Miguel Duarte
"Helped each application feel different without extra effort. Huge time‑saver."
Mia L.
"I usually skip cover letters, but this one actually felt relevant to the role."
Elena B.
"Having the resume and cover letter generated from the same JD was more useful than I expected."
Priya Raman
"Pasted the JD and had a solid draft in minutes. Needed a few edits, but saved me a ton of time."
Kenji Mori
"I'm not big on AI writing tools, but this one kept things grounded. Nothing I'd have to walk back in an interview."
Marcus D.
"The edits are solid, but I still review everything myself — which is exactly how it should be."
Sarah B.
"Simple to use. The cover letter ended up being more helpful than I expected."
Ana María López
"Doesn't add anything you can't back up. Works strictly with what's already in your resume."
Tom W.
"Used it to rebuild my resume — clean output and easy to adjust."
Deepak K.
"My interview rate went up. Didn't expect the video‑practice feature, but it turned out genuinely helpful."
Susan Keller
"Does exactly what it claims. Nothing inflated, nothing fabricated."
Yuki Tanaka
"Other tools added things I couldn't defend. This one stayed close to what I actually did."
Miguel Duarte
"Helped each application feel different without extra effort. Huge time‑saver."
Mia L.
"I usually skip cover letters, but this one actually felt relevant to the role."
Elena B.
"Having the resume and cover letter generated from the same JD was more useful than I expected."
Priya Raman
"Pasted the JD and had a solid draft in minutes. Needed a few edits, but saved me a ton of time."
Kenji Mori
"I'm not big on AI writing tools, but this one kept things grounded. Nothing I'd have to walk back in an interview."
Marcus D.
"The edits are solid, but I still review everything myself — which is exactly how it should be."
Sarah B.
"Simple to use. The cover letter ended up being more helpful than I expected."
Ana María López
"Doesn't add anything you can't back up. Works strictly with what's already in your resume."
Tom W.
Free resources
Better resumes, cover letters,
and smarter applications
Why a Tailored Resume Matters
What ATS actually does and where tailoring helps.
How to Analyze Job Descriptions
Read between the lines, spot real requirements, and catch warning signs early.
Turn Job Duties Into Achievement Bullets
Show results, scope, and impact instead of just listing responsibilities.
Your Facts, Better Words
How ApplyFit rewrites your resume while keeping the facts anchored in your actual experience.