About the Opportunity

We are seeking an accomplished QA Engineer to help engineer quality into complex, business-critical software platforms used across modern digital environments.

This is not a role where Quality Assurance begins after development is finished.

Our engineering model treats quality as a responsibility that starts during architecture and product definition and continues through development, automated testing, deployment, production monitoring, and continuous improvement.

The QA Engineer will work directly with Software Engineering, Product, DevOps, Platform Engineering, Security, Data, and Site Reliability Engineering to develop testing strategies for applications and services that must remain reliable as functionality, traffic, integrations, and technical complexity increase.

You will design automated test frameworks, validate APIs and distributed services, investigate difficult defects, improve CI/CD quality controls, evaluate system performance, and help teams identify risks before software reaches customers.

The environment may include microservices, REST and GraphQL APIs, cloud infrastructure, containerized workloads, event-driven systems, web applications, data pipelines, and AI-enabled product capabilities.

We are looking for someone who understands that modern quality engineering is not simply about finding defects.

It is about building systems and engineering practices that make defects more difficult to introduce, easier to detect, and faster to diagnose when they occur.

Essential Duties and Responsibilities

Quality Engineering Strategy

Develop risk-based testing strategies for complex software products.
Participate in requirements and technical-design reviews.
Identify quality risks before implementation begins.
Define appropriate testing across unit, integration, API, system, regression, performance, and end-to-end layers.
Establish measurable release-readiness criteria.
Improve testing practices throughout the software-development lifecycle.
Advocate for quality without creating unnecessary delivery friction.

Test Automation Engineering

Design, develop, and maintain scalable automated testing frameworks.
Build automated regression coverage for critical customer workflows.
Reduce dependence on repetitive manual testing.
Develop reusable test utilities and libraries.
Improve automation reliability and execution speed.
Integrate automated testing into engineering workflows.
Continuously evaluate test coverage against production risk.

Web & Application Testing

Validate complex web and digital application experiences.
Develop automated UI testing using tools such as Playwright, Cypress, Selenium, or comparable frameworks.
Test browser compatibility and responsive behavior.
Validate complex user journeys.
Investigate frontend defects involving state, data, APIs, and integrations.
Partner with frontend engineers on testability and quality improvements.

API & Microservices Testing

Develop automated tests for REST, GraphQL, and service-to-service APIs.
Validate request/response behavior, authentication, authorization, and error handling.
Test complex integration workflows.
Verify contracts between distributed services.
Validate asynchronous and event-driven workflows.
Develop negative and boundary-condition tests.
Help prevent integration failures before deployment.

CI/CD Quality Engineering

Integrate testing into CI/CD pipelines.
Partner with DevOps and Platform Engineering on automated quality gates.
Support technologies such as GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, or comparable platforms.
Improve test execution across pull requests and deployment workflows.
Develop fast-feedback testing strategies.
Identify and eliminate flaky automated tests.
Ensure critical failures prevent unsafe releases.

Performance & Scalability Testing

Develop performance and load-testing strategies.
Use tools such as k6, JMeter, Gatling, Locust, or comparable platforms.
Evaluate system behavior under expected and peak workloads.
Identify latency and scalability problems.
Partner with Engineering and SRE teams on bottleneck analysis.
Establish performance baselines.
Support capacity and resilience testing for critical services.

Cloud & Distributed Systems Quality

Validate software operating across AWS, Azure, or Google Cloud environments.
Test containerized and Kubernetes-based applications where applicable.
Evaluate behavior during dependency failures and infrastructure disruption.
Support resilience and recovery testing.
Validate configuration across environments.
Partner with Platform Engineering on environment reliability.
Help identify defects caused by distributed-system dependencies rather than application code alone.

Data Quality & Backend Validation

Write SQL queries to validate application and transactional data.
Test database interactions and data integrity.
Validate transformations across services and pipelines.
Identify data inconsistencies introduced through application workflows.
Support testing of event-driven and asynchronous processing.
Partner with Data Engineering where product functionality depends on complex data flows.

Security-Focused Testing

Incorporate security considerations into QA planning.
Validate authentication, authorization, session management, and role-based access behavior.
Test negative and misuse scenarios.
Partner with Security Engineering on vulnerability remediation.
Support validation of security fixes.
Help ensure sensitive workflows receive appropriate regression coverage.

AI & Intelligent Feature Validation

Develop testing approaches for AI-enabled product capabilities where applicable.
Evaluate deterministic and non-deterministic system behavior.
Build test datasets and evaluation scenarios.
Validate integrations between AI services and conventional software components.
Evaluate failure handling, fallback behavior, and output consistency.
Use approved AI tools to improve test generation and exploratory analysis while independently validating results.

Defect Investigation & Root-Cause Analysis

Reproduce and isolate complex defects.
Use logs, traces, application telemetry, browser tools, and database queries during investigation.
Document defects with clear technical evidence.
Partner with developers on root-cause analysis.
Distinguish symptoms from underlying system failures.
Improve regression coverage following production incidents.

Release Quality

Evaluate release readiness using risk, test coverage, defect status, and system-health indicators.
Participate in major deployment decisions.
Support production validation following releases.
Monitor post-release behavior with Engineering and SRE teams.
Identify recurring defect patterns.
Convert production lessons into improved automated coverage.

Job Qualifications and Requirements

5+ years of experience in Quality Engineering, Software Testing, SDET, Test Automation, or related software-engineering disciplines.
Strong experience developing automated test frameworks.
Hands-on experience with Playwright, Cypress, Selenium, or comparable automation technologies.
Experience testing APIs using Postman, REST Assured, pytest, or similar tools/frameworks.
Programming or scripting experience with JavaScript/TypeScript, Python, Java, C#, or comparable languages.
Strong understanding of modern software-development lifecycles.
Experience integrating tests into CI/CD pipelines.
Working knowledge of SQL and database validation.
Experience testing distributed or service-oriented applications.
Familiarity with cloud environments such as AWS, Azure, or Google Cloud.
Strong debugging and root-cause-analysis capabilities.
Understanding of Git-based development workflows.
Ability to communicate effectively with engineers, product managers, and technical leadership.
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field preferred, or equivalent professional experience.

Highly Valued Experience

Microservices architecture
Kubernetes and Docker
GraphQL
Event-driven systems
Kafka or comparable messaging platforms
Performance engineering
Contract testing
Pact or comparable frameworks
Mobile application testing
Accessibility testing
Security testing
Observability platforms such as Datadog, Splunk, Grafana, or New Relic
AI/ML product testing
Fintech or regulated technology
High-scale SaaS platforms

Personal Capabilities and Qualifications

Engineering Mindset

You approach testing as an engineering problem rather than a checklist.

Product Curiosity

You want to understand how customers actually use the product before deciding how it should be tested.

Technical Depth

You are comfortable investigating APIs, databases, logs, infrastructure, and application behavior to isolate failures.

Healthy Skepticism

You naturally explore what happens outside the expected path.

Automation Judgment

You understand which tests should be automated, which should remain exploratory, and where excessive automation creates maintenance without meaningful risk reduction.

Precision

You communicate defects with enough evidence that engineering teams can act quickly.

Collaboration

You believe quality improves when QA and Engineering solve problems together rather than operating as opposing functions.

Production Ownership

You care about software behavior after deployment, not simply whether it passed pre-release testing.

Strategic Support

The QA Engineer may contribute to broader engineering priorities including:

Test automation modernization
CI/CD transformation
Cloud migration
Microservices modernization
Platform engineering
DevOps transformation
Release engineering
Performance engineering
Production reliability
Security modernization
AI-enabled products
Data-platform quality
Developer productivity
Quality metrics and governance
Engineering standards

The role may also participate in architecture and design discussions where early quality input can materially reduce downstream risk.

Working Conditions

Remote or flexible working arrangements may be available depending on organizational requirements.
Regular collaboration with distributed Software Engineering, Product, DevOps, Security, Data, and SRE teams.
Work is primarily performed in a professional technology environment.
Multiple releases and engineering initiatives may operate simultaneously.
Occasional additional availability may be required around major releases or production incidents.
Participation in release validation or incident-response activities may occasionally be required.
The position requires appropriate handling of confidential product, customer, security, and technical information.

Job Function

Primary Function: Software Quality Engineering & Test Automation

Core Areas:

Compensation & Benefits

The anticipated compensation range for this position is:

$180,000 – $220,000 annually

Final compensation will consider automation depth, software-engineering capability, product complexity, cloud and distributed-systems experience, geographic considerations, and overall qualifications.

The broader total rewards package may include:

Annual performance incentives
Equity or long-term incentives where applicable
Comprehensive medical, dental, and vision coverage
Retirement savings with employer contributions
Generous paid time off and company holidays
Remote and flexible work arrangements
Technical certification support
Engineering conference and learning opportunities
Home-office and technology resources
Professional development programs
Wellness and family-support benefits

Why Join Us

Quality Engineering is most valuable when it changes how software is built, not simply how software is checked.

In this role, you will have the opportunity to influence architecture, automation, CI/CD, release practices, observability, performance, and engineering standards—not wait at the end of the development cycle for a build to test.

You will work with engineers building modern cloud-based systems and have room to introduce better automation, stronger API coverage, smarter performance testing, earlier risk detection, and emerging approaches to AI-enabled quality engineering.

Your impact will connect:

Product Design → Engineering → Automated Quality → CI/CD → Release → Production Reliability

For a QA Engineer who enjoys writing code, breaking complex systems intelligently, understanding why failures happen, and improving the engineering practices that prevent those failures from recurring, this position provides substantial technical ownership and a clear opportunity to influence product quality at scale.

QA Engineer