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The Senior Software Engineer will build and maintain backend infrastructure for the Astro platform, connecting Apache Airflow to scalable cloud environments. The role involves optimizing system performance, participating in on-call rotations, and collaborating across teams in a hybrid NYC-based environment.
Навыки: Тестирование ПО, Python, ООП, Pytest, Git, Нагрузочное тестирование, Docker, Kubernetes, Linux, CI/CD. Квалификация: Middle. Специализации: Инженер по обеспечению качества. Описание вакансии Мы — команда,…
Builds and improves internal developer platforms and tooling (CI/CD, testing, CLI) using Python, Go, Kubernetes, and AWS to boost engineering productivity and enable AI-native workflows.
About the Role Simon & Schuster, one of the world's leading publishers, is investing in a multi-year modernization of the core systems that power order management, fulfillment, partner integration, and…
Mid/Senior Backend/Data Engineer building and evolving an international data management and processing platform using Python and Django, working with APIs, databases, and data processing flows.
Senior QA Engineer responsible for test strategy, automation (Python/PyTest), and compliance-grade documentation for a medical-grade healthcare AI platform monitoring vital signs across senior-care facilities.
Software engineer building Python-based AI/LLM applications, RESTful APIs, and microservices with Docker/Kubernetes CI/CD pipelines at Cisco's Customer Experience engineering organization.
Senior Java Fullstack Developer/Emerging Tech Lead on State Street's GTS Integration Services team, designing and building integration solutions using Java, Spring Boot, Angular/React, and microservices on cloud platforms.
Expert Automation Tester designing and maintaining scalable test automation frameworks, defining quality strategies, and integrating automated tests into CI/CD pipelines—primarily using Python.
The Automation Tester will design and implement scalable testing frameworks, define quality standards, and integrate automated tests into CI/CD pipelines. The role requires expert-level proficiency in Python and extensive experience in building automation architectures from scratch.
Hands-on QA Engineer/SDET focused on backend API testing and automation, integrating tests into CI/CD pipelines while leveraging AI tools to enhance testing workflows. Core stack includes TypeScript/Python, Jest, Playwright, Pytest, SQL, Redis, and ELK.
Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a…
About us Looking for your next challenge? Allfunds (AMS: ALLFG) is a fast-paced, dynamic, Wealthtech leader with 17* offices around the globe and our employees are the best at what they do. We have a relentless passion…
Job Description: Position Summary We are building a modern cloud platform that powers mission-critical satellite communications and real-time services for customers around the world. Our engineering team develops…
Build Python-based cybersecurity tools and integrations for enterprise HSM and key management, automate DevSecOps workflows, and maintain secure, reliable services in a global team.
SDET at GBM, a Mexican wealth-management and private-banking firm, responsible for designing and maintaining test automation frameworks (Python/Pytest/BDD), executing API, performance, and E2E tests, and integrating automated tests into CI/CD pipelines.
The Senior DevSecOps Engineer will build and maintain CI/CD pipelines, automated testing frameworks, and secure infrastructure for complex DoD software systems. This is an on-site role requiring an active TS/SCI clearance and hands-on experience with container orchestration, Python, and secure environment integration.
Lead DevSecOps Engineer responsible for CI/CD pipelines, system integration testing, and test automation for classified DoD software systems, using Kubernetes, Python, GitLab, and AWS/GCP.
Senior SDET at Dialpad building and maintaining automated test frameworks for AI-driven customer experience platforms, focusing on LLM-based voice agents, orchestration flows, and AI quality evaluation.
Designs and automates photonics Process Design Kits (PDKs) using Python and EDA tools, ensuring accurate simulation and layout verification for high-speed AI data center hardware.
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