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Open nowPosted 4 days ago

Python Full Stack Engineer - Professional

HEXAWARE241 open roles

Where
Poland
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Your applicationOpen nowPython Full Stack Engineer - ProfessionalHEXAWARE · Poland
  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 HEXAWARE's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. HEXAWARE postings stay open a median of 11 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.2%30 days
  6. 59.1%60 days
This job: posted 4 days ago

HEXAWARE median: 11 days open

The posting

Job Description

Full Stack Engineer – Integration & Automation (India) – Job Description & Phone Screen Criteria [Job Description] Responsibilities Build and maintain integrations between internal systems, third-party APIs, and AI/ML services in production Design automation workflows that reduce manual processes (data pipelines, scheduled jobs, event-driven triggers) Develop full stack product features — frontend to API to database — with a focus on reliability and clean system boundaries [Job Description] Qualifications (purposefully light) BS in Engineering or Computer Science Comfortable across the stack: backend language (Python, Node.js, or similar), frontend framework (React, Vue, etc.), and SQL Experience connecting systems via REST APIs, webhooks, or message queues Systematic, structured thought process Familiarity with Git and basic CI/CD concepts and how AI-powered browser automation works [Phone Screen] 2 hard requirements to screen for when meeting them: Have they built and maintained production integrations where multiple systems depend on each other, and had to handle what happens when things break? Please capture experiences with real multi-system wiring (APIs, databases, third-party services) and the complexity of their failure handling. Integration pain (retries, data consistency, timeouts, race conditions) takes precedence over standalone app experience This aims to eliminate candidates who have only built isolated CRUD applications. We need someone who’s lived the messy reality of systems that depend on each other How are they currently using AI coding tools, and what was their experience when they noticed a weakness and how did they go about it. Please screen for lack of excitement and very generic, vague answers. Integration and automation work is disproportionately boilerplate and API wiring — exactly where AI tools provide the biggest lift. We need someone who leans into this.

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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • Who got the interview, and who heard nothing

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The numbers game

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