DevOps & Test Automation Engineer at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, Test Automation, CI/CD, GCP, Python, MongoDB, PostgreSQL, Docker, GitHub Actions, Performance Testing, API Testing, Infrastructure as Code, Observability, System Reliability, Frontend Testing, Backend Development

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a DevOps & Test Automation Engineer in United States. This role offers the opportunity to work at the forefront of AI-driven technology, contributing to the development of advanced, intelligent platforms that redefine digital interaction. You will play a key role in designing and maintaining robust infrastructure and automated testing systems that ensure performance, scalability, and reliability. Operating in a fast-paced, innovation-focused environment, you’ll collaborate closely with engineering teams to shape testing strategies and deployment pipelines. The position combines hands-on DevOps expertise with a strong focus on quality assurance and system optimization. You’ll have a direct impact on product stability and user experience while working with modern cloud technologies and cutting-edge tools. This is an ideal opportunity for someone who thrives in high-ownership environments and enjoys building systems from the ground up. \n Accountabilities: Design and implement comprehensive automated testing frameworks across frontend, backend, and APIs Build and manage CI/CD pipelines with integrated testing, ensuring smooth and reliable deployments Develop and maintain reproducible and isolated test environments, including staging and ephemeral setups Create and manage database seeding, cloning, and masking strategies to ensure data consistency Ensure reliability, speed, and observability of testing pipelines, minimizing failures and inefficiencies Collaborate with engineering teams to define and enforce testing strategies across all development layers Implement performance, load, and stress testing solutions to validate system scalability Manage and optimize cloud infrastructure, ensuring alignment between test and production environments Develop internal tools for debugging, test data generation, and failure analysis Establish monitoring and alerting systems to maintain high system reliability and performance Requirements: Proven experience in DevOps with hands-on work in production environments Strong expertise in automated testing methodologies (unit, integration, end-to-end, performance) Experience building testing infrastructure and frameworks from scratch Solid experience with cloud platforms, particularly GCP and its core services Proficiency in CI/CD tools such as GitHub Actions or similar systems Backend development experience, preferably with Python Strong knowledge of databases such as MongoDB and PostgreSQL, including data management strategies Experience with containerization technologies like Docker and environment orchestration Deep understanding of system reliability, observability, and debugging practices Ability to work in fast-paced environments with a high level of ownership and autonomy Upper-intermediate or higher level of English communication skills Nice to have: experience with frontend testing tools, performance testing frameworks, AI-based systems, and security/compliance testing Benefits: Flexible working schedule supporting work-life balance Supportive and people-focused management culture with minimal bureaucracy Long-term project stability with opportunities to work on innovative AI products Career growth support, including access to learning resources and professional development Free English language courses with professional instructors Full financial and legal support for independent contractors Dedicated HR support and a collaborative team environment Team-building activities and a positive, inclusive workplace culture \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Design and implement automated testing frameworks and CI/CD pipelines to ensure system reliability and scalability. Manage cloud infrastructure on GCP and develop internal tools for debugging and failure analysis.