Devops / QA Automation Engineer

ABOUT US

Firefly is a cloud infrastructure automation platform designed to assist Platform and DevOps teams in simplifying, securing, and scaling their cloud operations. By addressing challenges associated with managing dynamic cloud environments, Firefly facilitates seamless automation, Infrastructure-as-Code (IaC) adoption, and governance. Its features include continuous cloud scanning, AI-assisted remediation, and orchestration, providing unified visibility and control across an organization’s entire cloud footprint. Notably, Firefly bridges the gap between live cloud environments and IaC, ensuring infrastructure remains optimized, compliant, and synchronized.

Website

https://www.firefly.ai/

ABOUT THE ROLE

Firefly is hiring a QA Automation Engineer to join the R&D team. This is not a traditional QA role. The engineer will work across UI, API, infrastructure, and cloud environments, treating the automation framework as a product in itself.

This role is best suited for someone who thinks like a software engineer: someone who can write clean automation code, debug issues across the stack, provision test environments with infrastructure-as-code, and improve CI pipelines and framework reliability as the platform scales.

ROLE TYPE

Fulltime role

RESPONSIBILITIES

• Design, build, and maintain automated test suites across:
• UI
• API
• infrastructure / cloud layers
• Own and improve test execution pipelines, reporting, and framework reliability
• Provision and manage cloud-based test environments using IaC
• Investigate and debug issues across:
• Frontend
• Backend
• Database
• Cloud resources / provisioning
• Collaborate closely with product and engineering teams to align testing with feature requirements
• Improve automation coverage, reduce flakiness, and keep the framework scalable and maintainable
• Contribute to testing around performance, scalability, reliability, and availability in cloud-based systems
• Support monitoring, alerting, and reporting for automated processes

TECHNICAL REQUIREMENTS

In Order Of Importance

Good software methodologies / Clean Code

• Strong engineering mindset
• Writes maintainable, structured, readable automation code
• Understands abstraction, reuse, and long-term framework health

Pytest best practices

• Strong hands-on experience with pytest
• Comfortable with:
• fixtures
• markers
• parametrization
• parallel execution
• organizing scalable test suites

Infrastructure as Code

• Experience with Terraform or OpenTofu
• Able to provision and manage test environments as code
• Familiarity with Helm Charts is a plus

Configuration and secret management

• Understands how to manage test configuration safely and cleanly
• Comfortable with secrets handling across cloud / CI environments

CI tools

• Strong experience with CI systems, preferably GitHub Actions
• Able to design, maintain, and improve automation pipelines

At least one cloud platform

• Solid working knowledge of AWS, GCP, or Azure
• AWS or GCP preferred
• Understands cloud architecture and testing needs in SaaS environments

OpenAPI experience

• Comfortable testing REST APIs and working from API specifications
• Experience with OpenAPI / Swagger is important

Additional Must-Have Skills

• 3+ years of professional Python experience within automation frameworks
• Experience building and scaling automation frameworks
• Strong understanding of cloud-based testing needs in SaaS products
• Comfortable with Docker, Git, and modern development workflows
• Solid understanding of system design and cloud architecture
• Able to quickly learn unfamiliar tools and technologies

Nice to Have

• Experience with NoSQL databases such as:
• MongoDB
• Elasticsearch
• Familiarity with:
• OAuth
• JWT
• SSO
• Exposure to:
• multi-cloud testing
• multi-region testing
• Kubernetes-based environments
• Previous experience in a SaaS company
• Familiarity with performance / scalability testing

CLIENT EXPECTATION

• Independent and proactive
• Self-driven with a strong can-do attitude
• Strong communication and interpersonal skills
• Thinks like an engineer, not just a tester
• Comfortable debugging across unfamiliar systems and learning from source code/documentation
• Takes ownership of:
• tests
• pipelines
• framework quality
• product quality
• Works well in a fast-paced, collaborative R&D environment