Apakah ATS dan apakah peranannya dalam permohonan kerja?

Sistem penjejakan pemohon (ATS) membantu majikan mengumpul dan mengurus permohonan. Ciri dan tetapan berbeza-beza; sesetengah sistem menyediakan carian, penapisan atau pemeringkatan. Penyemak kami menilai teks resume, bukan menghasilkan semula keputusan saringan majikan.

Adakah ia benar-benar percuma?

Penghuraian fail, pemarkahan, analisis kata kunci, wizard jurang dan eksport PDF adalah percuma, tanpa kad dan tanpa jam percubaan. Anda memerlukan akaun percuma untuk menggunakan alat ini, yang turut menyimpan resume anda merentasi peranti.

Format fail apa yang boleh saya muat naik?

PDF, DOCX dan TXT. Kami mengeluarkan butiran hubungan, ringkasan, kemahiran, peranan, tarikh dan pendidikan anda ke dalam medan yang boleh diedit, jadi anda boleh betulkan apa-apa yang tersalah baca sebelum menilai.

Adakah AI akan mereka pengalaman yang saya tiada?

Suntingan menggunakan maklumat yang anda berikan, dan panduan akan bertanya tentang butiran yang tiada. AI masih boleh tersilap: semak setiap majikan, tarikh, kemahiran dan hasil yang dicadangkan, serta buang apa-apa yang tidak disokong oleh pengalaman anda.

Apa yang berlaku kepada data resume saya?

Salinan kerja anda kekal dalam pelayar anda. Kandungan dihantar ke pelayan kami hanya apabila anda minta skor, penulisan semula atau surat iringan, dan ia tidak dijual atau dikongsi dengan pihak ketiga. Pengguna yang log masuk boleh memadam resume tersimpan pada bila-bila masa.

Sejauh manakah skor ini menyerupai ATS sebenar?

Skor ialah anggaran AI berdasarkan teks yang diekstrak dan huraian kerja. Ia boleh menunjukkan kata kunci yang tiada, bahagian yang kurang jelas dan butiran yang belum lengkap. Susun atur PDF, ketepatan sebenar pembacaan fail secara automatik dan import ke ATS penyedia tidak diukur. Tiada skor yang menjamin penerimaan atau temu duga.

Pembina resume AI percuma

Sesetengah majikan menggunakan ATS
sebelum perekrut membaca CV anda.

Bina resume yang menerangkan pengalaman anda dengan jelas, bandingkan teksnya dengan huraian kerja dan semak cadangan sebelum memohon.

Bina resume saya Nilai resume saya

PDF, DOCX, TXT

Tanda malap: Ditapis oleh perisian
Tanda menyala: Disemak oleh manusia

Sekadar ilustrasi. Kadar lulus sebenar berbeza mengikut majikan, peranan dan jumlah permohonan.

Cara ia berfungsi

Empat langkah, dari mula hingga hantar.

Langkah 01
Muat naik atau bina
Lepaskan fail PDF, DOCX atau TXT dan kami huraikannya kepada medan yang boleh diedit. Bermula dari kosong pun boleh.
Langkah 02
Nilai berbanding iklan kerja
Semak anggaran AI tentang padanan teks resume anda, dengan maklum balas tentang kata kunci, pengalaman, kemahiran dan bahagian resume.
Langkah 03
Tutup jurang kata kunci
Lihat dengan tepat istilah yang dijangka oleh iklan kerja tetapi tiada dalam resume anda. Betulkan terus di situ, atau biarkan wizard menanyakan soalannya kepada anda.
Langkah 04
Muat turun dan mohon
Pilih templat dan eksport PDF yang mudah dibaca. Semak teks yang dieksport dan fail sebelum memohon; sistem majikan mungkin membacanya secara berbeza.

Apa yang anda dapat

Setiap skrin menjawab satu soalan: apa yang perlu saya betulkan seterusnya?

Pemarkahan

Fahami padanan teks sebelum memohon

Dapatkan anggaran AI tentang padanan teks resume anda dengan jawatan tertentu, serta maklum balas tentang kata kunci, pengalaman dan bahagian resume. Anggaran ini tidak menghasilkan semula skor ATS majikan.

Nilai resume saya

Pecahan skor

79Contoh padanan teks

kata kunci58
pengalaman82
pendidikan90
kemahiran71
format95

Kata kunci

Lihat perkataan yang anda terlepas

Kami tarik istilah yang dijangka oleh iklan kerja dan bandingkannya dengan istilah anda. Yang ada di sebelah sini, yang tiada di sebelah sana, jadi anda tahu dengan tepat apa yang perlu ditulis.

Cari jurang saya

Jurang kata kunci

Dalam resume anda · 14

ReactTypeScriptCI/CDPostgreSQLAWS

Dalam iklan kerja, bukan resume anda · 8

TerraformKafkaSLOGoon-call

Tulis semula

Sampaikan bukti anda dengan lebih jelas

Sunting poin untuk menjelaskan sumbangan anda dan gunakan istilah berkaitan yang disokong oleh pengalaman anda. Sertakan hasil yang diukur hanya jika ada, dan semak setiap perubahan yang dicadangkan.

Buka editor

Sebelum / selepas

Milik anda

Bertanggungjawab ke atas pipeline deployment dan membantu pasukan menghantar lebih pantas.

Ditulis semula

Membina semula pipeline CI/CD di atas Terraform, memendekkan masa deployment daripada 40 ke 6 minit merentasi 12 perkhidmatan.

Wizard jurang

Bila anda tidak tahu apa yang kurang

Anggaran skor di bawah 70? Bestari menukar setiap kata kunci yang tiada menjadi soalan supaya jurang diisi dengan jawapan dan pengalaman anda yang disahkan.

Mulakan wizard

Wizard jurang · soalan 2 daripada 5

Alat infrastruktur mana yang anda kendalikan di Northwind?

Terraform, Kubernetes, Datadog…

KenapaIklan kerja menyebut Terraform tiga kali. Resume anda langsung tidak menyebutnya.

Templat

Pilih susun atur untuk pengalaman anda.

Pratonton setiap susun atur pada saiz penuh dan pilih yang sesuai dengan kandungan anda. Anda boleh menukar templat tanpa menulis semula resume. Semak PDF yang dieksport dan urutan bacaan teksnya sebelum memohon.

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
Pratonton penuh
Pro ATS
Tajuk bahagian bergaris, kemahiran tiga lajur
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
Pratonton penuh
Prime ATS
Tajuk biru, blok foto, kemahiran empat lajur
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
Pratonton penuh
Classic ATS
Serif, pengepala 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
Pratonton penuh
Modern
Sepanduk biru, garis masa bertarikh, kemahiran dalam cip
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
Pratonton penuh
Classic
Bar sisi kelabu untuk hubungan, kemahiran dan tarikh

Terokai templat LaTeX yang boleh disunting Cuba dalam pembina

Daripada pasukan yang sama · GeekBye

Sekarang, bersedia untuk temu duga anda yang seterusnya.

GeekBye ialah pembantu temuduga desktop yang mendengar perbualan dan menyuap jawapan kepada anda secara masa nyata — peribadi, setempat dan tidak kelihatan pada perkongsian skrin.

Kenali GeekBye

Soalan

Sebelum anda muat naik.

: Sistem penjejakan pemohon (ATS) membantu majikan mengumpul dan mengurus permohonan. Ciri dan tetapan berbeza-beza; sesetengah sistem menyediakan carian, penapisan atau pemeringkatan. Penyemak kami menilai teks resume, bukan menghasilkan semula keputusan saringan majikan.
: Penghuraian fail, pemarkahan, analisis kata kunci, wizard jurang dan eksport PDF adalah percuma, tanpa kad dan tanpa jam percubaan. Anda memerlukan akaun percuma untuk menggunakan alat ini, yang turut menyimpan resume anda merentasi peranti.
: PDF, DOCX dan TXT. Kami mengeluarkan butiran hubungan, ringkasan, kemahiran, peranan, tarikh dan pendidikan anda ke dalam medan yang boleh diedit, jadi anda boleh betulkan apa-apa yang tersalah baca sebelum menilai.
: Suntingan menggunakan maklumat yang anda berikan, dan panduan akan bertanya tentang butiran yang tiada. AI masih boleh tersilap: semak setiap majikan, tarikh, kemahiran dan hasil yang dicadangkan, serta buang apa-apa yang tidak disokong oleh pengalaman anda.
: Salinan kerja anda kekal dalam pelayar anda. Kandungan dihantar ke pelayan kami hanya apabila anda minta skor, penulisan semula atau surat iringan, dan ia tidak dijual atau dikongsi dengan pihak ketiga. Pengguna yang log masuk boleh memadam resume tersimpan pada bila-bila masa.
: Skor ialah anggaran AI berdasarkan teks yang diekstrak dan huraian kerja. Ia boleh menunjukkan kata kunci yang tiada, bahagian yang kurang jelas dan butiran yang belum lengkap. Susun atur PDF, ketepatan sebenar pembacaan fail secara automatik dan import ke ATS penyedia tidak diukur. Tiada skor yang menjamin penerimaan atau temu duga.

Ketahui apa yang dilihat oleh penapis.

Muat naik CV yang akan anda hantar. Selepas analisis, anda akan melihat anggaran skor padanan teks dan senarai pembetulan.

Bina resume saya Tulis surat iringan

Percuma · Tiada apa-apa dikongsi dengan pihak ketiga

Sesetengah majikan menggunakan ATSsebelum perekrut membaca CV anda.

Muat naik atau bina

Nilai berbanding iklan kerja

Tutup jurang kata kunci

Muat turun dan mohon