Senior Software Engineer, Quality Engineering
Accountabilities Design, develop, and maintain scalable automated testing frameworks supporting REST and gRPC APIs.
Build and improve AI-assisted quality engineering solutions to automate test generation, strengthen regression coverage, and convert production incidents into long-term automated test cases.
Develop, maintain, and optimize CI/CD pipelines to improve software delivery speed and reliability.
Plan and execute performance, load, stress, and scalability testing to validate platform resilience under increasing demand.
Implement chaos engineering practices by designing fault-injection experiments that proactively identify system weaknesses.
Standardize quality engineering tools, frameworks, and development workflows to improve the developer experience across engineering teams.
Collaborate closely with software engineers to increase test coverage, diagnose production issues, and deliver robust technical solutions.
Mentor fellow engineers and promote engineering best practices focused on quality, automation, and continuous improvement.
Requirements
5+ years of experience as a Software Engineer building and supporting production-grade software systems.
At least 1 year of professional experience developing applications in Go, with strong proficiency in strongly typed programming languages.
Practical experience using AI-powered development tools and large language models (LLMs) to enhance software engineering and testing workflows.
Proven expertise designing and maintaining CI/CD pipelines, preferably using GitHub Actions, Google Cloud Build, or similar platforms.
Strong experience developing automated testing frameworks for distributed or microservices-based architectures.
Solid knowledge of Kubernetes, Helm, containerization, and cloud-native deployment best practices.
Experience working in startup or fast-paced environments with evolving priorities and a high level of ownership.
Ability to independently manage projects from requirements gathering through implementation, deployment, monitoring, and optimization.
Strong analytical, troubleshooting, communication, and collaboration skills.
Experience with Python, TypeScript, Docker, Terraform, Argo CD, Google Cloud Platform, Google Kubernetes Engine, Kafka, Redpanda, chaos engineering tools, or performance testing frameworks such as k6 and ghz would be considered an advantage.
Benefits
Competitive salary.
Equity or stock option program.
Comprehensive health benefits.
One-time home office setup allowance of USD $500.
Monthly remote work stipend of USD $150.
Fully remote work environment with global collaboration.
Opportunity to work with modern cloud-native technologies, AI-powered engineering practices, and large-scale distributed systems.
Inclusive and collaborative culture that values continuous learning, ownership, and innovation.
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?
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