科技職缺
職缺列表
Test Automation Engineer
Designs and develops automated backend tests for mission-critical meteorological services, extending a Python/pytest framework, integrating tests into CI/CD pipelines, and validating REST APIs and data processing workflows.
QA Engineer
Design and maintain automated tests for a web app in TypeScript and React, covering E2E, integration, regression, and API testing. 100% remote, ~6-month B2B contract using Playwright/Cypress/Selenium, Postman, Swagger, Git, and CI/CD pipelines.
Software Engineer
AirHelp is hiring a Software Engineer in Test (SDET) to design and maintain scalable automated tests, build shared test frameworks, and integrate them into CI/CD pipelines. Day-to-day work spans Ruby/Rails, Golang, Python, TypeScript, Playwright, k6, GitHub Actions, AWS, Docker, and Kubernetes.
Automation QA Engineer
Automation QA Engineer at N-iX building and maintaining automated functional, integration, and regression tests with Robot Framework and Python, using K6 for performance testing and integrating into CI/CD pipelines. Core stack: Robot Framework, Python, K6, Postman.
Senior Software Engineer
Senior test automation engineer (SDET) at AirHelp building shared test frameworks, integrating GitHub Actions CI/CD, and running API, contract, and k6 performance tests across a modern Ruby/Rails, Go, Python, React, TypeScript, PostgreSQL, AWS, Docker, and Kubernetes stack.
Senior QA Automation Specialist
Senior QA Automation Specialist at Xebia designing, building, and scaling automated test suites for web, mobile, and API services using Selenium, BDD/Cucumber, Rest Assured/Karate/Postman, with CI/CD integration via Git, Maven/Gradle, and Jenkins.
Enterprise Test Automation Expert
Build and deliver an automation framework using Copado for Kyriba's Salesforce-based Corporate platform, covering smoke, E2E, UAT, regression and unit tests. Includes API testing across Salesforce/Workday integrations and CI/CD deployment support.
Frontend Developer (React / Next.js)
Remote frontend developer building and evolving product features in TypeScript, React, and Next.js, using AI-assisted dev tools (Claude/Codex) along with E2E and unit testing. Web3/FinTech exposure is a plus.
Middle DevOps Engineer
A Middle DevOps Engineer designing and maintaining AWS-based cloud infrastructure (ECS, Lambda, S3, Bedrock), CI/CD pipelines, Docker/Kubernetes workloads, and infrastructure-as-code with Terraform/Ansible.
DevOps-инженер (ML/AI, DevSecOps, MLSecOps)
В Блоке Информационной безопасности в Департаменте координации защиты информации в Управлении безопасности инфраструктуры открыта вакансия для DevOps-инженера (ML/AI, DevSecOps, MLSecOps) Ключевые задачи:…
Middle General QA Engineer (C# / Playwright)
Middle QA Engineer on a large-scale healthcare product, bridging manual testing and UI automation. Builds and maintains automated tests in C#, Playwright, and NUnit, drives manual testing of new features, monitors CI runs, and resolves flaky tests.
AI Engineering Platform Manager
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project…
Senior DevOps Engineer (AWS)
Designs, builds, and operates scalable, highly available AWS infrastructure using Terraform; manages CI/CD pipelines with Jenkins and GitHub Actions; deploys and runs containerized workloads on Amazon ECS/Fargate and Kubernetes, with a focus on autoscaling, reliability, and observability.
Senior Machine Learning Engineer (LLMs)
Senior ML engineer focused on designing and deploying production LLM and generative-AI pipelines — optimizing inference, building RAG and agent systems, and applying MLOps — using Python, PyTorch, AWS/GCP/Azure, and vector databases.
Software Engineer ML/Gen AI Platform Support
Senior engineer who designs, builds, and maintains an internal Machine Learning and Generative AI platform on AWS (SageMaker, Bedrock), creating shared tooling, IaC, CI/CD, and observability that lets other teams build, deploy, and operate ML and GenAI solutions at scale.