עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
If you combine strong technical leadership and hands-on QA engineering capabilities with deep expertise in automation frameworks and performance testing at scale, and if you are motivated by bridging the gap between high-level quality strategy and hands-on technical execution, taking responsibility for the growth of your team members, the stability of our AI-driven platforms, and the efficiency of our delivery pipelines, we could be your next challenge.
Key Responsibilities:
Leadership & Mentorship: Lead and coach the Automation and Performance team. Set clear goals, conduct code reviews, and foster a culture of technical excellence.
Strategic Planning: Define and implement E2E testing policies, standards, and procedures for solutions deployed to global Tier-1 financial institutions.
Technical Architecture: Design and maintain scalable automation frameworks and performance testing suites using Python.
Stakeholder Management: Partner with R&D, Product, and Delivery stakeholders to align quality initiatives with business roadmaps and system development life cycles.
CI/CD Ownership: Build and optimize test pipelines within CI/CD environments to ensure fast, stable, and reliable deployments.
Performance & Scale: Oversee performance testing strategies to ensure the platform handles massive Big Data workloads without degradation.
Quality Governance: Act as the final authority on system/acceptance testing in NFT, providing risk assessments and "Go/No-Go" recommendations for releases.
Experience: 10+ years in QA Automation and performance testing, with at least 7 years in Team Lead positions.
Automation Mastery: 5+ years of hands-on experience developing automation infrastructures from scratch using Python.
Backend Expertise: 5+ years of deep experience in Backend QA and API testing.
Technical Stack: Strong proficiency in Linux shell and CI/CD utilities.
Experience with Kubernetes, Microservices, and Cloud technologies (AWS/Azure/GCP).
AI Focus: Experience with AI-based testing, specifically focusing on evaluation and observability (Significant Advantage).
Education: B.Sc. in Computer Science or a related technical field.
Languages: Proficiency in English.
Communication: Proven ability to communicate complex technical risks to non-technical stakeholders.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.