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eCollege

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www.pearson.com

Pearson eCollege was founded in 1996 as Real Education, Inc. in Denver, Colorado. That year, Real Education launched its first online

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~0.3 days

Company signals

Score: 82
Wikipedia Yes Stale listings 0% GitHub org Yes Repost rate (90d) 8% First leadership hire Yes Median listing lifespan 4 days New cities (90d) 75 Buzzword-heavy listings 8%

Job facts

Location
Hybrid · Sri Lanka
Workplace
Hybrid
Type
Full-time
Posted
Jul 30, 2026

Last verified live 1 day, 6 hours ago · checked directly on the company's Oracle Cloud HCM

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Senior Quality Assurance Engineer

at eCollege


Job Title: Senior Quality Assurance Engineer

Description: A hands-on Quality Engineering role focused on leading QE strategy and execution across API, backend, UI automation, and AI-driven features while mentoring engineers and driving release quality. This role aligns with industry titles such as Lead Quality Engineer, Lead QA Engineer, Senior Test Automation Engineer.

Role Summary** **

We are hiring a Quality Engineering Lead to drive test strategy, team execution, and cross-team quality alignment across multiple engineering teams. This is a hands-on technical leadership role for an experienced quality engineer who can set direction, coordinate QE activities across workstreams, mentor engineers, and own quality outcomes across API, backend, UI, and AI- driven feature domains. The ideal candidate combines deep automation expertise with the leadership capability to coordinate releases, manage dependencies, and represent QE in cross-functional forums.

Key Responsibilities** **

Team Leadership & Coordination** **

  • Lead and coordinate QE activities across multiple engineering teams, ensuring alignment on priorities, coverage, and release readiness

  • Assign and manage day-to-day workstream tasks across QE engineers, providing hands-on guidance, unblocking escalations, and ensuring delivery against sprint goals

  • Track cross-team dependencies and integration risks across engineering workstreams, surfacing blockers early and coordinating resolution

  • Own release readiness decisions — consolidate regression status, environment coverage, and dependency sign-offs to provide clear go/no-go recommendations

  • Represent QE in cross-functional forums, planning ceremonies, and leadership discussions — communicating quality status, risks, and strategic recommendations

  • Mentor QE engineers on automation best practices, framework usage, and quality engineering standards; drive knowledge sharing and technical growth across the team

API & Backend Automation** **

  • Design, build, and own API automation frameworks using Java — covering REST endpoints, request/response validation, schema checks, and contract testing

  • Develop comprehensive test suites for service integrations, microservices, and event-driven systems

  • Perform backend and database validation (SQL/NoSQL) — data integrity, transformation logic, and state verification

  • Drive contract testing practices to catch breaking API changes early (Pact or equivalent)

  • Build and maintain reusable API test libraries and utilities shared across the team

  • Integrate API automation suites into CI/CD pipelines as hard quality gates

  • Perform performance and load validation on critical API paths

UI Automation** **

  • Build, own, and maintain UI automation suites using Playwright for critical user journeys

  • Identify scenarios best covered at the UI layer vs. API/backend layer and advocate for the right test pyramid

  • Collaborate with front-end engineers on test coverage gaps and flaky test resolution

AI FeatureQuality(Preferred)** **

  • Test AI-assisted and AI-driven features, including agentic AI workflows and multi-step agent interactions

  • Validate AI outputs for accuracy, consistency, business correctness, bias, and edge-case behaviour

  • Design evaluation strategies for non-deterministic outputs (LLM responses, agent actions, tool calls)

  • Define regression and failure scenarios specific to AI systems

Quality Engineering Practices** **

  • Own quality for assigned features: requirements review, test planning, execution, and sign-off

  • Identify, log, and track defects; lead root-cause analysis with developers

  • Champion shift-left quality — engage at design and code-review stages

  • Define and own QE strategy across feature domains — including coverage planning, tooling decisions, and quality metrics — ensuring a proactive rather than reactive quality posture

Must-Have Skills & Experience** **

  • 6+ years of hands-on QA / Quality Engineering experience, with the majority focused on API and UI testing.

  • API Automation (strong): Java — REST testing, request/response and schema validation, contract testing, service integration testing

  • Backend/DB Validation (strong): SQL proficiency; working knowledge of NoSQL (MongoDB, DynamoDB, or similar)

  • UI Automation (strong): Playwright — hands-on experience building, extending, and maintaining UI automation suites independently; Playwright is required

  • Programming: Java (strong); JavaScript / TypeScript (working proficiency)

  • CI/CD Integration: experience wiring automation into pipelines (Jenkins, GitHub Actions, or similar)

  • AI Testing: hands-on experience validating AI outputs; exposure to agentic AI or multi-step agent workflows is a strong plus

  • Tooling: Jira, Zephyr (or equivalent test management tool)

  • Team Leadership: proven experience leading or coordinating a QE team — task management, mentoring, release ownership, and cross-functional stakeholder engagement

  • Cloud: working knowledge of AWS or equivalent — S3, Lambda, SQS basics for backend validation