10 окт

qa engineer (auto) for national-scale data platforms

ориентир по рынку
вакансия зп не указана
в среднем 307 981 ₽
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ai-инструменты

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описание

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services.

задачи

  • Define and defend the verification approach for integration and data platforms, establishing automated quality gates across Azure DevOps/GitHub Actions pipelines
  • Lead end-to-end data-flow validation across multiple partner vendors, automating data integrity checks and tracing money and container flows across system hops
  • Act as the primary technical point of contact for client leadership and the counterpart to the client's QE Lead; negotiate test strategies, quality gates, and SIT/UAT criteria using evidence and trade-off analysis
  • Implement consumer-driven contract testing and schema compatibility checks for REST APIs and event-driven architectures
  • Build data quality checks at every ingestion and transformation stage, reconciling KPI and regulatory data products to source data
  • Design resilience, idempotency, fault-injection, and load tests to ensure availability, dead-letter recovery, and reliable handling of duplicate messaging
  • Establish best practices for AI-driven software development and agent harnesses within the QE organization, ensuring human oversight of quality definitions
  • Hire, mentor, and manage quality engineers across platform teams; drive test code reviews and report quality metrics through completed flows and financial reconciliation

требования

  • 8+ Years of experience in Quality Engineering, including 2+ years leading QE teams on multi-vendor or complex platform engineering programs
  • Hands-on experience with REST API testing, event-driven pipelines, and consumer-driven contract testing using Pact, including tests, provider verification, broker, and can-i-deploy
  • Strong background in data platform validation using Python/Java frameworks such as Great Expectations, pytest with chispa, Pandera, or dbt tests, and source-to-target data reconciliation
  • Hands-on proficiency in Java and SQL, with solid knowledge of major cloud services; Azure is preferred, including API Management, Event Hubs, Service Bus, and Functions
  • Deep experience configuring quality gates in Azure DevOps or GitHub Actions, alongside daily use of AI coding assistants such as Cursor, Claude Code, or Codex
  • Fluent English (C1+) and proven ability to present complex quality strategies, negotiate with external vendors, and align cross-functional leadership
  • Будет плюсом: hands-on experience with Azure managed services and Microsoft Fabric, PactFlow bi-directional contract testing, domain experience in payments, financial settlement, container/unit-level reconciliation or regulated public-sector platforms, familiarity with data lineage, data quality controls, and compliance reporting

условия

  • Competitive salary
  • Flexible schedule
  • Benefits package including medical insurance and sports
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

Enterprise technology consulting компания с фокусом на AI, data, cloud и digital engineering.

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