Greetings from Conch Technologies Inc
Position: QA Engineer (AWS / Microservices / API Automation) Location: Denver CO (Onsite)
Duration: 12 Months Contract
We are looking for a skilled QA Services Integration Tester with 3 4 years of experience in manual and automation testing within microservices-based cloud-native environments. The ideal candidate will have strong API testing expertise exposure to AWS and Kubernetes deployments and experience working in high-performing Agile teams with fast release cycles.
Key Responsibilities:
Testing & Quality Assurance
Design write and execute detailed test cases in ALM Octane
Perform Services Integration Testing across microservices-based applications
Conduct functional regression integration and API testing
Certify microservices releases in fast-paced Agile environments
Perform log validation using Splunk (or similar tools)
Participate in production root cause analysis and defect triage
Support release validation in containerized environments
Automation & Technical Expertise
Develop and maintain API automation using Cucumber
Perform REST API testing (Postman/Swagger or similar tools)
Utilize basic Python scripting for testing and automation (as applicable)
Validate deployments via Jenkins
Understand and test applications deployed in:
AWS environments
Kubernetes clusters (Pods Nodes concepts)
Containerized microservices architecture
Debug deployment-related issues within Pods and microservices
Collaboration & Coordination
Work closely with Dev and DevOps teams to validate builds and releases
Coordinate with offshore QA teams as required
Assist leadership with:
JIRA ticket reporting
Test execution reporting
Release certification summaries
Metrics consolidation
Required Skills & Qualifications
3 4 years of manual and/or automation testing experience
Strong understanding of software testing principles
Hands-on experience with:
ALM Octane
JIRA
API & REST API testing
Microservices architecture
Containerization & Kubernetes (Pods/Nodes concepts)
Jenkins deployment validation
Experience with log validation (Splunk or similar tools)
Strong communication skills with the ability to collaborate with Dev-Ops partners
Experience working in Agile/Scrum teams with rapid release cycles
Preferred / Nice to Have
Basic AWS knowledge
Writing Splunk queries and creating dashboards
Exposure to DevOps-integrated QA processes
Domain knowledge in Video Services
Experience with CI/CD pipeline validation
Experience in production issue analysis and RCA documentation
Ideal Candidate Profile
Strong analytical and debugging skills
Comfortable in cloud-native distributed microservices environments
Detail-oriented with an ownership mindset
Ability to work cross-functionally across global teams
Capable of balancing manual and automation efforts efficiently