Land more interviews,
without inventing a career.
ApplyFit reframes your real experience for the role you actually want — in your own voice. No invented achievements. No ChatGPT gloss. Just your work, finally pointed at the right door.
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.
- · Expanded observability coverage across 12 production services — Prometheus alerting, Grafana dashboards, runbooks engineers used on call.
- · Main backend point person during P0/P1 incidents, coordinating with infrastructure and support partners and documenting follow-up.
- · Partnered on the EC2-to-Kubernetes migration; kept cutover plans predictable.
- · Diagnosed a checkout API latency regression (1.8s → 240ms).
- · Wrote reusable Terraform for recurring AWS changes — easier to audit.
Reliability · service reliability, incident response, runbooks, monitoring
Infrastructure · Kubernetes, Terraform, IaC, AWS, Docker
Observability · Prometheus, Grafana, DataDog
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.
- · 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.
- · Improved a checkout API endpoint — response time went from 1.8s to 240ms.
Go, Python, SQL, REST APIs, gRPC, AWS (EC2, RDS, EKS, S3, CloudWatch), Docker, Kubernetes, Terraform, PostgreSQL, Redis, Prometheus, Grafana, DataDog, GitHub Actions, Jenkins
Drop in your résumé and the job posting. Then just review.
PDF, DOCX, or paste plain text. No account needed for the first try.
We parse the role — what the team actually needs, not just the keyword list.
Instantly see how well you fit the role — and how much tailoring can improve it. One click to get a tailored résumé and cover letter.
Why not just ask a generic chatbot?
Because a generic AI will happily invent a promotion you never got. ApplyFit works the way a good career coach does — rearrange what you already have, then stop.
Based on comparable prompts against leading general-purpose LLMs and spot-checks of common ATS keyword tools, 2026.
Pay by the credit. Never by the month.
One credit = one résumé + cover-letter tailoring for one role. Paid credits never expire. No subscription. Free credits are valid for 30 days.
Dip in. One thorough tailoring pass for the role you care about most.
- 5 tailored résumé rewrites
- 5 matching cover letters
- Line-by-line review
- DOCX + PDF export
The active job hunt. A few applications a day without counting.
- Everything in Starter
- JD fit analysis
- Interview prep questions
- Priority email support
Senior switch, multiple tracks, or a manager helping their team.
- Everything in Standard
- Saved voice profile
- Interview Practice (beta)
- Team / referral sharing
What senior hunters actually said.
Sent in after a hire. Edited only for length. Names shortened.
“My English works fine at the office. Cover letters are different — every sentence is a small decision. Old drafts sounded like an American wearing my name. This one reads closer to how I actually write.”
“The JD-matching view told me two projects I was leading with weren’t what the role was asking for. It was right. I was annoyed about it for a day.”
“18 months off after my second kid. This one didn’t touch the gap. It moved my strongest launches to the top and left the timeline alone. First three interviews, nobody asked me to justify the break.”
“I’m the guy in team slack who calls AI résumé tools slop. Tried this to prove a point. It kept my phrasing. Flagged a bullet where I was underselling my own work — that one I wasn’t ready for.”
“Been applying for four months with nothing back. The part I didn’t expect: it didn’t try to dress up my bootcamp projects as “engineering leadership.” Just let them be projects. First time in a while I could read my own resume without wincing.”
“It kept the research where it belonged and reframed the infrastructure around it — the clusters, the benchmarks, the on-call I’d been doing without calling it on-call.”
Your next interview is
in your résumé already.
Hand us the résumé you have and the role you want. We’ll hand you back the same person — finally pointed at the right door.