Apa itu ATS dan apa perannya dalam proses lamaran?

Applicant tracking system (ATS) membantu perusahaan mengumpulkan dan mengelola lamaran. Fitur dan pengaturannya berbeda-beda; sebagian mendukung pencarian, penyaringan, atau pemeringkatan. Alat kami meninjau teks resume, bukan mereplikasi keputusan seleksi perusahaan.

Apakah benar-benar gratis?

Penguraian file, penilaian, analisis kata kunci, wizard celah, dan ekspor PDF semuanya gratis, tanpa kartu kredit dan tanpa masa coba. Anda memerlukan akun gratis untuk memakai alat ini, yang juga menyimpan CV Anda lintas perangkat.

Format file apa saja yang bisa saya unggah?

PDF, DOCX, dan TXT. Kami mengekstrak detail kontak, ringkasan, keahlian, posisi, tanggal, dan pendidikan ke kolom yang bisa diedit, jadi Anda bisa membetulkan apa pun yang salah dibaca sebelum dinilai.

Apakah AI akan mengarang pengalaman yang tidak saya miliki?

Penulisan ulang menggunakan informasi yang Anda berikan, dan panduan akan menanyakan detail yang belum ada. AI tetap bisa keliru: periksa setiap perusahaan, tanggal, keterampilan, dan hasil yang disarankan, lalu hapus apa pun yang tidak didukung pengalaman Anda.

Apa yang terjadi dengan data CV saya?

Salinan kerja Anda tetap ada di browser. Isinya dikirim ke server kami hanya saat Anda meminta skor, penulisan ulang, atau surat lamaran, dan tidak dijual maupun dibagikan ke pihak ketiga. Pengguna yang masuk bisa menghapus CV tersimpan kapan saja.

Seberapa dekat skor ini dengan ATS yang sebenarnya?

Skor merupakan perkiraan AI berdasarkan teks yang diekstrak dan deskripsi pekerjaan. Skor dapat menunjukkan kata kunci yang belum ada, bagian yang kurang jelas, dan informasi yang belum lengkap. Tata letak PDF, ketepatan pembacaan berkas secara otomatis, dan impor ke ATS penyedia tidak diukur. Tidak ada skor yang menjamin penerimaan atau wawancara.

Pembuat CV AI gratis

Sebagian perusahaan memakai ATS
sebelum perekrut membaca CV Anda.

Susun resume yang menjelaskan pengalaman Anda dengan jelas, bandingkan teksnya dengan deskripsi pekerjaan, lalu tinjau saran sebelum melamar.

Buat CV saya Nilai CV saya

PDF, DOCX, TXT

Tanda redup: Disaring software
Tanda menyala: Ditinjau manusia

Ilustrasi. Tingkat kelolosan sebenarnya berbeda-beda menurut perusahaan, posisi, dan jumlah pelamar.

Cara kerjanya

Empat langkah, dari awal sampai melamar.

Langkah 01
Unggah atau buat
Jatuhkan file PDF, DOCX, atau TXT dan kami uraikan menjadi kolom yang bisa diedit. Mulai dari nol juga bisa.
Langkah 02
Nilai terhadap lowongan
Tinjau perkiraan AI tentang kecocokan teks resume Anda, dengan masukan mengenai kata kunci, pengalaman, keterampilan, dan bagian-bagian resume.
Langkah 03
Tutup celah kata kunci
Lihat persis istilah mana yang diminta lowongan tapi belum ada di CV Anda. Perbaiki langsung di tempat, atau biarkan wizard yang bertanya kepada Anda.
Langkah 04
Unduh dan lamar
Pilih template dan ekspor PDF yang mudah dibaca. Periksa teks hasil ekspor dan berkasnya sebelum melamar; sistem tiap perusahaan dapat membacanya secara berbeda.

Yang Anda dapatkan

Setiap layar menjawab satu pertanyaan: apa yang harus saya perbaiki berikutnya?

Penilaian

Pahami kecocokan teks sebelum melamar

Dapatkan perkiraan AI tentang kecocokan teks resume Anda dengan lowongan tertentu, beserta masukan mengenai kata kunci, pengalaman, dan bagian resume. Perkiraan ini tidak mereplikasi skor ATS perusahaan.

Nilai CV saya

Rincian skor

79Contoh kecocokan teks

kata kunci58
pengalaman82
pendidikan90
keahlian71
format95

Kata kunci

Lihat kata-kata yang belum Anda tulis

Kami menarik istilah yang diharapkan lowongan lalu mencocokkannya dengan CV Anda. Istilah yang sudah ada di satu sisi, celahnya di sisi lain, jadi Anda tahu persis apa yang perlu ditulis.

Temukan celah saya

Celah kata kunci

Ada di CV Anda · 14

ReactTypeScriptCI/CDPostgreSQLAWS

Ada di lowongan, tidak di CV · 8

TerraformKafkaSLOGoon-call

Penulisan ulang

Sampaikan bukti Anda dengan lebih jelas

Perjelas kontribusi Anda dalam setiap poin dan gunakan istilah relevan yang sesuai dengan pengalaman Anda. Cantumkan hasil terukur hanya jika tersedia, dan periksa setiap perubahan yang disarankan.

Buka editor

Sebelum / sesudah

Milik Anda

Bertanggung jawab atas pipeline deployment dan membantu tim merilis lebih cepat.

Ditulis ulang

Membangun ulang pipeline CI/CD di atas Terraform, memangkas waktu deploy dari 40 menjadi 6 menit di 12 layanan.

Wizard celah

Saat Anda tidak tahu apa yang kurang

Perkiraan skor di bawah 70? Wizard mengubah setiap kata kunci yang belum ada menjadi pertanyaan agar kesenjangannya diisi dengan jawaban dan pengalaman terverifikasi Anda sendiri.

Mulai wizard

Wizard celah · pertanyaan 2 dari 5

Perkakas infrastruktur apa yang Anda tangani di Northwind?

Terraform, Kubernetes, Datadog…

AlasannyaLowongan menyebut Terraform tiga kali. CV Anda tidak menyebutnya sama sekali.

Templat

Pilih tata letak untuk pengalaman Anda.

Lihat pratinjau setiap tata letak dalam ukuran penuh dan pilih yang sesuai dengan isi resume. Anda dapat mengganti template tanpa menulis ulang resume. Periksa PDF hasil ekspor dan urutan baca teksnya sebelum melamar.

Alex Morgan
Senior Software Engineer
Email:alex.morgan@example.comPhone:+1 (415) 555-0134Location:San Francisco, CAWebsite:alexmorgan.dev
Professional Summary
Backend-leaning full-stack engineer with eight years on payments and data infrastructure. Ships services that stay up: two platform migrations delivered with no customer-visible downtime, and a checkout path now handling 4x its 2021 traffic on half the hardware.
Professional Experience
Staff Software Engineer
Northbeam Systems
Mar 2021 - Present
Cut checkout p95 latency from 820ms to 310ms by replacing a synchronous fan-out with an event-driven ledger, absorbing a 4x traffic increase on 40% fewer instances.
Led the migration of 63 services from EC2 to Kubernetes over three quarters with zero customer-visible downtime and a 31% drop in monthly infrastructure spend.
Built the reconciliation pipeline that closes $180M in annual volume, taking month-end close from four days to six hours.
Mentored six engineers; three were promoted within eighteen months.
Senior Software Engineer
Kite Financial
Jun 2018 - Feb 2021
Designed the multi-currency payouts API used by 240 merchant integrations, growing settled volume from $12M to $95M per year.
Reduced failed-payment retries by 46% with an idempotency layer and a scheduling model based on issuer response codes.
Introduced contract testing across eleven teams, cutting integration regressions from nine per quarter to one.
Software Engineer
Larkfield Labs
Jul 2016 - May 2018
Shipped the first version of the analytics dashboard, adopted by 78% of active accounts within two quarters.
Rewrote the nightly ETL in Python, taking a six-hour job to 35 minutes and removing a recurring on-call page.
Core Competencies
•TypeScript
•React
•Node.js
•Python
•Go
•PostgreSQL
•GraphQL
•AWS
•Docker
•Kubernetes
•Terraform
•Observability
Education
B.S. in Computer Science
University of Washington
2016
Key Projects
Ledgerlint
Open-source static analyzer for double-entry accounting schemas. 2.4k stars, used in production by four fintechs.
Technologies: Go, PostgreSQL, GitHub Actions
Pratinjau penuh
Pro ATS
Judul bagian bergaris, keahlian tiga kolom
Alex Morgan
Senior Software Engineer
San Francisco, CA | +1 (415) 555-0134 | alex.morgan@example.com | alexmorgan.dev
Summary
Backend-leaning full-stack engineer with eight years on payments and data infrastructure. Ships services that stay up: two platform migrations delivered with no customer-visible downtime, and a checkout path now handling 4x its 2021 traffic on half the hardware.
Professional Experience
Staff Software Engineer, Northbeam Systems
Mar 2021 — Present
Cut checkout p95 latency from 820ms to 310ms by replacing a synchronous fan-out with an event-driven ledger, absorbing a 4x traffic increase on 40% fewer instances.
Led the migration of 63 services from EC2 to Kubernetes over three quarters with zero customer-visible downtime and a 31% drop in monthly infrastructure spend.
Built the reconciliation pipeline that closes $180M in annual volume, taking month-end close from four days to six hours.
Mentored six engineers; three were promoted within eighteen months.
Senior Software Engineer, Kite Financial
Jun 2018 — Feb 2021
Designed the multi-currency payouts API used by 240 merchant integrations, growing settled volume from $12M to $95M per year.
Reduced failed-payment retries by 46% with an idempotency layer and a scheduling model based on issuer response codes.
Introduced contract testing across eleven teams, cutting integration regressions from nine per quarter to one.
Software Engineer, Larkfield Labs
Jul 2016 — May 2018
Shipped the first version of the analytics dashboard, adopted by 78% of active accounts within two quarters.
Rewrote the nightly ETL in Python, taking a six-hour job to 35 minutes and removing a recurring on-call page.
Education
B.S. in Computer Science
University of Washington
2016
Technical Skills
TypeScript
React
Node.js
Python
Go
PostgreSQL
GraphQL
AWS
Docker
Kubernetes
Terraform
Observability
Projects
Ledgerlint
Open-source static analyzer for double-entry accounting schemas. 2.4k stars, used in production by four fintechs.
Technologies: Go, PostgreSQL, GitHub Actions
Additional Information
Languages: English, French
Certificates: Professional certifications listed here
Awards/Activities: Professional achievements and activities
Pratinjau penuh
Prime ATS
Judul biru, blok foto, keahlian empat kolom
Alex Morgan
Senior Software Engineer
alex.morgan@example.com|+1 (415) 555-0134|San Francisco, CA|alexmorgan.dev
OBJECTIVE
Backend-leaning full-stack engineer with eight years on payments and data infrastructure. Ships services that stay up: two platform migrations delivered with no customer-visible downtime, and a checkout path now handling 4x its 2021 traffic on half the hardware.
PROFESSIONAL EXPERIENCE
Northbeam Systems
Mar 2021 - Present
Staff Software Engineer
Cut checkout p95 latency from 820ms to 310ms by replacing a synchronous fan-out with an event-driven ledger, absorbing a 4x traffic increase on 40% fewer instances.
Led the migration of 63 services from EC2 to Kubernetes over three quarters with zero customer-visible downtime and a 31% drop in monthly infrastructure spend.
Built the reconciliation pipeline that closes $180M in annual volume, taking month-end close from four days to six hours.
Mentored six engineers; three were promoted within eighteen months.
Kite Financial
Jun 2018 - Feb 2021
Senior Software Engineer
Designed the multi-currency payouts API used by 240 merchant integrations, growing settled volume from $12M to $95M per year.
Reduced failed-payment retries by 46% with an idempotency layer and a scheduling model based on issuer response codes.
Introduced contract testing across eleven teams, cutting integration regressions from nine per quarter to one.
Larkfield Labs
Jul 2016 - May 2018
Software Engineer
Shipped the first version of the analytics dashboard, adopted by 78% of active accounts within two quarters.
Rewrote the nightly ETL in Python, taking a six-hour job to 35 minutes and removing a recurring on-call page.
EDUCATION
University of Washington
B.S. in Computer Science
2016
SKILLS
TypeScript • React • Node.js • Python • Go • PostgreSQL • GraphQL • AWS • Docker • Kubernetes • Terraform • Observability
PROJECTS
Ledgerlint
Open-source static analyzer for double-entry accounting schemas. 2.4k stars, used in production by four fintechs.
Technologies: Go, PostgreSQL, GitHub Actions
Pratinjau penuh
Classic ATS
Serif, header di tengah, paling mudah dibaca mesin
ALEX MORGAN
Senior Software Engineer
+1 (415) 555-0134
alex.morgan@example.com
San Francisco, CA
alexmorgan.dev
PROFESSIONAL SUMMARY
Backend-leaning full-stack engineer with eight years on payments and data infrastructure. Ships services that stay up: two platform migrations delivered with no customer-visible downtime, and a checkout path now handling 4x its 2021 traffic on half the hardware.
CORE COMPETENCIES
TypeScriptReactNode.jsPythonGoPostgreSQLGraphQLAWSDockerKubernetesTerraformObservability
PROFESSIONAL EXPERIENCE
Staff Software Engineer
Northbeam Systems
Mar 2021 - Present
Cut checkout p95 latency from 820ms to 310ms by replacing a synchronous fan-out with an event-driven ledger, absorbing a 4x traffic increase on 40% fewer instances.
Led the migration of 63 services from EC2 to Kubernetes over three quarters with zero customer-visible downtime and a 31% drop in monthly infrastructure spend.
Built the reconciliation pipeline that closes $180M in annual volume, taking month-end close from four days to six hours.
Mentored six engineers; three were promoted within eighteen months.
Senior Software Engineer
Kite Financial
Jun 2018 - Feb 2021
Designed the multi-currency payouts API used by 240 merchant integrations, growing settled volume from $12M to $95M per year.
Reduced failed-payment retries by 46% with an idempotency layer and a scheduling model based on issuer response codes.
Introduced contract testing across eleven teams, cutting integration regressions from nine per quarter to one.
Software Engineer
Larkfield Labs
Jul 2016 - May 2018
Shipped the first version of the analytics dashboard, adopted by 78% of active accounts within two quarters.
Rewrote the nightly ETL in Python, taking a six-hour job to 35 minutes and removing a recurring on-call page.
EDUCATION
B.S.
University of Washington
Computer Science
2016
KEY PROJECTS
Ledgerlint
Open-source static analyzer for double-entry accounting schemas. 2.4k stars, used in production by four fintechs.
GoPostgreSQLGitHub Actions
Pratinjau penuh
Modern
Banner biru, linimasa bertanggal, keahlian berbentuk chip
AM
Contact
+1 (415) 555-0134
alex.morgan@example.com
San Francisco, CA
alexmorgan.dev
Education
2016
University of Washington
B.S.
Computer Science
Technical
Go
GraphQL
Terraform
Observability
Backend
Node.js
Python
PostgreSQL
Frontend
TypeScript
React
Infrastructure
AWS
Docker
Kubernetes
ALEX MORGAN
Senior Software Engineer
About Me
Backend-leaning full-stack engineer with eight years on payments and data infrastructure. Ships services that stay up: two platform migrations delivered with no customer-visible downtime, and a checkout path now handling 4x its 2021 traffic on half the hardware.
Experience
Staff Software Engineer
Northbeam Systems
Mar 2021 - Present
Cut checkout p95 latency from 820ms to 310ms by replacing a synchronous fan-out with an event-driven ledger, absorbing a 4x traffic increase on 40% fewer instances.
Led the migration of 63 services from EC2 to Kubernetes over three quarters with zero customer-visible downtime and a 31% drop in monthly infrastructure spend.
Built the reconciliation pipeline that closes $180M in annual volume, taking month-end close from four days to six hours.
Mentored six engineers; three were promoted within eighteen months.
Senior Software Engineer
Kite Financial
Jun 2018 - Feb 2021
Designed the multi-currency payouts API used by 240 merchant integrations, growing settled volume from $12M to $95M per year.
Reduced failed-payment retries by 46% with an idempotency layer and a scheduling model based on issuer response codes.
Introduced contract testing across eleven teams, cutting integration regressions from nine per quarter to one.
Software Engineer
Larkfield Labs
Jul 2016 - May 2018
Shipped the first version of the analytics dashboard, adopted by 78% of active accounts within two quarters.
Rewrote the nightly ETL in Python, taking a six-hour job to 35 minutes and removing a recurring on-call page.
Projects
Ledgerlint
Open-source static analyzer for double-entry accounting schemas. 2.4k stars, used in production by four fintechs.
Technologies: Go, PostgreSQL, GitHub Actions
Pratinjau penuh
Classic
Sidebar abu-abu untuk kontak, keahlian, dan tanggal

Jelajahi templat LaTeX yang dapat diedit Coba di builder

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Pertanyaan

Sebelum Anda mengunggah.

: Applicant tracking system (ATS) membantu perusahaan mengumpulkan dan mengelola lamaran. Fitur dan pengaturannya berbeda-beda; sebagian mendukung pencarian, penyaringan, atau pemeringkatan. Alat kami meninjau teks resume, bukan mereplikasi keputusan seleksi perusahaan.
: Penguraian file, penilaian, analisis kata kunci, wizard celah, dan ekspor PDF semuanya gratis, tanpa kartu kredit dan tanpa masa coba. Anda memerlukan akun gratis untuk memakai alat ini, yang juga menyimpan CV Anda lintas perangkat.
: PDF, DOCX, dan TXT. Kami mengekstrak detail kontak, ringkasan, keahlian, posisi, tanggal, dan pendidikan ke kolom yang bisa diedit, jadi Anda bisa membetulkan apa pun yang salah dibaca sebelum dinilai.
: Penulisan ulang menggunakan informasi yang Anda berikan, dan panduan akan menanyakan detail yang belum ada. AI tetap bisa keliru: periksa setiap perusahaan, tanggal, keterampilan, dan hasil yang disarankan, lalu hapus apa pun yang tidak didukung pengalaman Anda.
: Salinan kerja Anda tetap ada di browser. Isinya dikirim ke server kami hanya saat Anda meminta skor, penulisan ulang, atau surat lamaran, dan tidak dijual maupun dibagikan ke pihak ketiga. Pengguna yang masuk bisa menghapus CV tersimpan kapan saja.
: Skor merupakan perkiraan AI berdasarkan teks yang diekstrak dan deskripsi pekerjaan. Skor dapat menunjukkan kata kunci yang belum ada, bagian yang kurang jelas, dan informasi yang belum lengkap. Tata letak PDF, ketepatan pembacaan berkas secara otomatis, dan impor ke ATS penyedia tidak diukur. Tidak ada skor yang menjamin penerimaan atau wawancara.

Cari tahu apa yang dilihat filter.

Unggah CV yang akan Anda kirim. Setelah analisis, Anda akan melihat perkiraan skor kecocokan teks dan daftar perbaikan.

Buat CV saya Tulis surat lamaran

Gratis · Tidak dibagikan ke pihak ketiga

Sebagian perusahaan memakai ATSsebelum perekrut membaca CV Anda.

Unggah atau buat

Nilai terhadap lowongan

Tutup celah kata kunci

Unduh dan lamar