Job Title: QA Analyst III Location: Onsite (Menlo Park, CA) 3 days/week Duration: 12 months
Job Description Overview As a QA Contractor, you will play a key role in ensuring product quality by executing and improving test processes, collaborating with engineering and QA leads, and supporting the delivery of high-quality features. This role is designed for individuals who can operate independently, contribute to test strategy, and take ownership of execution within defined scopes.
Responsibilities
Execute and maintain manual and automated test cases for new and existing features.
Reproduce, document, and triage bugs; work closely with engineering to drive resolution.
Write and maintain clear, comprehensive test cases and test plans.
Support QA leads in driving test strategy and test plan creation.
Create and maintain dashboards to track quality metrics and test progress.
Conduct Product Audits with QA leads’ guidance to analyze/improve QA test coverage.
Conduct Bug Audits with QA leads’ guidance to analyse/identify product areas that need improvement.
Provide Release readiness support for Medium/small size features.
Lead test execution for small to medium-sized projects or features.
Attend status meetings and represent QA in the absence of QA leads.
Work onsite as needed to collaborate directly with engineering and QA teams, ensuring product rigor.
Support stealth projects which require a higher level of diligence in execution.
Run and lead testing techniques like benchmarking testing, battery testing, performance testing
Qualifications
7+ years of experience in software quality assurance or a related field.
Strong understanding of QA methodologies, tools, and processes.
Experience writing and executing test cases and test plans.
Excellent communication and collaboration skills.
Ability to work independently and take initiative in a fast-paced environment.
Ability to handle multiple projects simultaneously
Experience with dashboarding tools and quality metrics is a plus.
Comfortable working onsite and engaging directly with cross-functional teams.
Familiarity with python, javascript, SQL
Minimum Years of Experience: 7+
Must-Have Skills
Automation + code reading skills (strong technical QA, can review code and support complex testing)
Benchmarking/performance testing experience (define and measure quality/regressions independently)
Comfort using AI agents/tools in QA (for triage, debugging, and accelerating test work)
Nice-to-Have Skills
Experience testing social networking apps (Feeds, creation, interactions)
Comfort coordinating with offshore teams (flexible hours for India/Mexico collaboration)
Degrees/Certifications
Bachelor's degree in computer science, computer engineering or relevant field required
Key Projects/Day-to-Day Responsibilities
The role will focus on testing Monetization related features
Work involves testing new features/concepts (not tied to a single AI tool), using client tools/apps.
There may be overtime / early-late coordination due to collaboration with offshore teams in India and Mexico, especially for complex test setup and coordination
Purpose/Size of this team & where does this position fit within the team?
This role is added to support Monetization Business Messaging Platform feature testing.
The role is intended to be hands-on, technically strong QA (automation understanding, code reading, benchmarking, AI tools)
It likely fits as embedded QA support partnering with the Monetization engineering/product team, and may involve coordination with offshore teams (India/Mexico) with some potential for overtime due to time zones
Why is this position open? Contractor support for Monetization Business Messaging Platform
Certain project that team is working on / what products are they supporting: Business Messaging Platform
About the Team: This is a quality engineering team focused on helping large-scale consumer apps ship reliable, high-quality experiences across frequent releases. The team partners with engineering, product, and design to identify risks early, validate end-to-end functionality, and improve overall product stability and user experience. The team supports products used by people around the world—including social networking, messaging, and content platforms—and works across modern technologies, including AI-powered features (e.g., natural language and machine learning). Team members collaborate in a fast-paced environment, learn continuously, and contribute directly to delivering dependable products at scale.
How will progress be evaluated? What does success look like for this assignment
Delivery/execution: on-time test coverage for Monetization launches, clear status updates, good triage/bug hygiene
Quality impact: finding valid issues early (esp. higher-severity), preventing regressions from reaching production
Technical strength/independence: can debug, read code, understand automation/benchmarking, and reduce dependence on eng
Collaboration: effective coordination with offshore teams (India/Mexico) and flexibility when needed
What success looks like:
They own QA for Monetization Business messaging platform features end-to-end, help keep releases stable, and catch issues before launch
They ramp quickly and operate as a self-starter who can handle complex test setup and cross-timezone coordination
What challenges should the ideal candidate expect in this role, and how can they help address them? Managing multiple priorities at the same time, this could be addressed by working with QA Engineering Lead for planning and priority setting
Candidate Value Proposition
High-impact, high-visibility product: Direct QA ownership on major product launches where your work clearly affects what ships
Technical growth (not just manual QA): Hands-on exposure to automation concepts, reading/debugging code, benchmarking, and AI-assisted workflows
Autonomy + ownership: The team wants a self-starter who can run end-to-end testing and reduce dependence on engineering—strong scope for ownership
Strong career signal: Opportunity to build a track record fast through catching launch-blockers, improving release quality, and influencing processes
Value added or experience gained
Developing tools, AI evals
How many rounds of interviews? 2 rounds
Types of Interviews
Round 1: Behavioral & QA concepts
Round 2: Technical
Interview Duration: 45 mins
Applicant Notices & Disclaimers
For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 55.00/hr.
