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Open nowPosted 204 days ago

HSBCJP00057265 Full Stack Developer

antalpl1,064 open roles

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Your applicationOpen nowHSBCJP00057265 Full Stack Developerantalpl

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on antalpl's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. antalpl postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 204 days ago

antalpl median: 1 days open

The posting

Lokalizacja: Kraków Tryb pracy: hybrydowy

Poszukujemy Full Stack Developera, który dołączy do zespołu zajmującego się wykorzystaniem sztucznej inteligencji i przetwarzania języka naturalnego (NLP) w celu rewolucjonizowania interakcji inwestorów instytucjonalnych z rynkami globalnymi. Projekt ma na celu zapewnienie inwestorom błyskawicznego dostępu do danych w czasie rzeczywistym, umożliwiając im lepsze poruszanie się po złożoności rynków finansowych.

Zakres obowiązków:

  • Podział wymagań biznesowych na mniejsze zadania (stories) oraz iteracyjne dostarczanie ich do produkcji.
  • Identyfikacja obszarów technicznego zadłużenia, dbanie o równowagę między długiem technicznym a nową funkcjonalnością.
  • Projektowanie nowych rozwiązań, zgodnie z wytycznymi i ograniczeniami technologicznymi.
  • Współpraca z innymi członkami zespołu w ramach parowania (pair programming).

Wymagania:

  • Minimum 5 lat doświadczenia w programowaniu.
  • Głębokie rozumienie kluczowych koncepcji inżynierii oprogramowania (SOLID, Clean Code, DDD, BDD).
  • Doświadczenie w programowaniu w językach Java i Python.
  • Znajomość Spring Framework.
  • Doświadczenie w pracy z bazami danych SQL/No SQL (PostgreSQL, MongoDB).
  • Doświadczenie z technologiami event streaming i mikroserwisami.
  • Dobre umiejętności komunikacyjne w języku angielskim (w mowie i piśmie).
  • Doświadczenie z NLP, AI, machine learning lub Data Science będzie dodatkowym atutem.

Mile widziane:

  • Doświadczenie w Prompt Engineering, LangChain, LangGraph.
  • Znajomość Clean Architecture.

Oferujemy:

  • Pracę w międzynarodowym zespole rozwijającym innowacyjne technologie.
  • Możliwość pracy hybrydowej.
  • Dostęp do szerokiego pakietu szkoleń i rozwoju zawodowego.
  • Pakiet benefitów (prywatna opieka medyczna, karta Multisport).
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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against antalpl's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on antalpl's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    antalpl's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

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