Senior Quality and Test Automation Engineer

ELLKAY

. Define risk-based quality strategies, automation scope, entry and exit criteria, test data, environments, dependencies, and evidence for complex initiatives .

Posted 10/27/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining risk-based quality strategies and implementing automation across various layers, including API and UI. Proven ability to lead quality initiatives, mentor teams, and collaborate effectively across multiple disciplines to enhance software delivery and ensure production readiness.

Highest-signal resume keywords

Automation Architecture LeadershipAdvanced Programming Skills in Java, Python, TypeScript, C#CI/CD Integration and ManagementQuality Strategy for Complex IntegrationsDebugging Across Application and Infrastructure Layers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Automation Design and ImplementationRisk-Based Quality StrategiesPerformance EngineeringTest Data ManagementRoot-Cause AnalysisSQLAPIsDistributed ApplicationsObservabilitySecurity-Focused Automation

Soft Skills

MentoringStakeholder CommunicationPrioritizationInfluenceRisk Management

Tools & Technologies

GitCloud-Native PlatformsContainersService VirtualizationCI/CD Tools

Industry Keywords

Healthcare Software DeliveryRegulated EnvironmentData IntegrityPrivacyAuditability

Tech Stack

Tools & technologies

CloudJavaPythonSQLTypeScript

About the role

Key responsibilities & impact

Define risk-based quality strategies, automation scope, entry and exit criteria, test data, environments, dependencies, and evidence for complex initiatives
Design and implement automation across API, contract, integration, event, data, UI, and end-to-end layers
Lead automation architecture by creating reusable libraries, patterns, utilities, and diagnostics
Influence system and feature design for testability, observability, failure isolation, deterministic behavior, secure data handling, and operational resilience
Integrate quality gates and parallelized automated suites into CI/CD
Manage flaky tests, execution efficiency, environment constraints, and actionable reporting
Plan and guide performance, reliability, resilience, security, accessibility, compatibility, and recovery validation
Analyze logs, traces, metrics, database state, service interactions, and code to isolate complex failures and lead root-cause investigations
Assess production change risk and present release recommendations, known limitations, and mitigation or rollback plans
Establish measures for escaped defects, risk coverage, automation value, flakiness, defect containment, and feedback-cycle time
Lead requirement and design reviews and identify cross-system and edge-case risks
Mentor Quality Engineers and SDETs through pairing, design and code reviews, debugging guidance, and engineering standards
Collaborate across product, development, architecture, DevOps, support, security, data, and business teams to resolve systemic quality issues and improve delivery practices

Requirements

What you’ll need

Bachelor's degree in computer science, engineering, information systems, or equivalent practical experience
Typically 7+ years in software quality engineering or development, with advanced hands-on automation and technical leadership experience
Strong programming and framework-design skills in Java, Python, TypeScript, C#, or a comparable language
Advanced experience with APIs, SQL, Git, CI/CD, and distributed applications
Proven ability to lead quality strategy for complex integrations and end-to-end workflows, including nonfunctional and production-readiness considerations
Expertise in debugging across application, service, data, infrastructure, and pipeline layers
Strong influence, mentoring, stakeholder communication, prioritization, and risk-management skills
Preferred: experience with cloud-native platforms, containers, service virtualization, observability, performance engineering, and security-focused automation
Preferred: experience delivering software in healthcare or another regulated environment with strict privacy, auditability, and data-integrity requirements

Benefits

Comp & perks

Collaborative and high-performance work environment
Professional growth opportunities
Alternative work arrangements may be considered at the company’s discretion based on role requirements and business needs
Equal employment opportunities
Smoke-Free Workplace