3 device engineer jobs found

Position: Python Automation Engineer/Lead Job Description: Key Responsibilities- Design, build and maintain automated test frameworks in Python and Pytest for embedded devices and the software that runs on them. Strong hands-on experience in FlaUI for Windows desktop application automation. Strong programming expertise in Python with PyTest / Robot Framework. Write automated tests across levels: integration, system and end-to-end, including tests run on hardware and on simulators. Work with updating Automation framework  Run tests on real instruments analyse logs and debug failures across hardware, firmware and software. Execute manual/automation test case and report defects Defect tracking and verification. Follow Test process to ensure adequate quality   Must have skills- • Strong proficiency in Python and Appium. • Hands-on experience with automation testing frameworks such as PyTest/Unittest. • Building test automation frameworks from scratch or extending...

Position: QA Tech Lead Job Description: Responsibilities of the EVT Lead – 10 to 11 years of EVT experience – Offshore Strong hands-on experience in Python, Robot Framework, Karate Framework, PyTest, Selenium, Playwright and/or Appium . Test Planning and Strategy Write/Create test plans: Build comprehensive documentation outlining scope, resources, timelines, and methodologies. Define test strategy: Choose between manual and automated testing approaches to maximize coverage. Manage environment: Ensure necessary testing tools, data, and hardware or software environments are ready and available to the team. Team Leadership and Coordination Assign tasks: Distribute work based on individual tester skills and project needs. Mentor team: Guide, train, and support engineers to improve overall team performance. Monitor progress: Oversee daily testing activities to ensure alignment with delivery milestones and goals. Execution and Defect Management...

Position: AWS SRE Lead Job Description: Key Responsibilities & Requirements Lead SRE practices and initiatives to improve availability, reliability, scalability, performance, and operational efficiency of AWS-based applications and infrastructure. Design and implement highly available and resilient AWS architectures , with strong understanding of services such as EC2, ECS/EKS, Lambda, VPC, IAM, S3, RDS/Aurora, CloudFront, Route 53, CloudWatch, and other core AWS services. Drive DevOps automation and Infrastructure as Code (IaC) using tools such as Terraform, AWS CloudFormation/CDK, Ansible, and scripting languages such as Python or Shell. Design and manage CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar DevOps platforms, with focus on deployment automation and release reliability. Establish and improve observability and monitoring practices , including metrics, logs, traces, dashboards, alerting, and proactive...