Frontline Engineer

Omnissa

. Design, develop, and maintain test plans, test cases, and automated test suites covering functional, regression, integration, and system-level scenarios .

Posted 11/11/2026full-timeBengaluru • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software quality engineering, including test design, automation, and defect lifecycle management, while effectively collaborating with cross-functional teams to enhance product quality and reliability. Proficient in analyzing production systems and implementing observability improvements to drive systemic enhancements.

Highest-signal resume keywords

Test Automation StrategySoftware Quality EngineeringDistributed Systems DebuggingObservability PlatformsAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Test DesignTest AutomationDefect Lifecycle ManagementAPI UnderstandingStructured Log AnalysisDebugging Distributed SystemsAutomation Framework DevelopmentProduction Systems InvestigationField Issue AnalysisRegression Verification

Soft Skills

Excellent Communication SkillsStructured Problem-SolvingCross-Functional Collaboration

Tools & Technologies

JIRAMonitoring ToolsObservability PlatformsAI-Assisted Engineering ToolsDevelopment and Test Environments

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Enterprise Device ManagementUEM DomainsMicroservicesClient-Server ArchitecturesSustaining Engineering

Tech Stack

Tools & technologies

AndroidDistributed SystemsMicroservices

About the role

Key responsibilities & impact

Design, develop, and maintain test plans, test cases, and automated test suites covering functional, regression, integration, and system-level scenarios
Own test automation strategy and contribute to frameworks that improve coverage, speed, and reliability across release cycles
Evaluate product usability and supportability and proactively surface gaps before they reach customers
Participate in design and code reviews to embed quality thinking upstream
Track and report quality health metrics, including defect escape rates, test coverage, automation pass rates, and release readiness signals
Improve logging, diagnostics, and system observability
Act as engineering first responder for complex, high-priority field issues and own investigation and triage end-to-end
Analyze logs, monitoring systems, and production data to assess severity, impact scope, and failure patterns
Debug distributed systems, APIs, services, and code paths to isolate suspected root causes
Reproduce field issues in local or shared environments
Enrich issue tickets with logs, configurations, network traces, reproduction steps, and system behavior details
Identify duplicate issues and link them to existing defects or known issues in JIRA
Collaborate with Core Engineering to validate hypotheses and confirm failure points
Validate fixes and ensure issue closure with regression verification
Analyze field issues and customer service requests to identify systemic gaps
Translate field intelligence into test cases, observability instrumentation, documentation, or product design changes
Participate in incident retrospectives and drive durable improvements
Partner with TPMs and Engineering leadership to track field issue SLAs and resolution progress
Build automation, scripts, and AI-assisted workflows to reduce repetitive triage work
Set up and maintain development and test environments for reproduction and validation
Recommend and implement observability, UX signal, and diagnostic improvements

Requirements

What you’ll need

Strong software engineering foundation with the ability to read, debug, and reason across distributed systems and microservices
Hands-on experience in software quality engineering, including test design, test automation, and defect lifecycle management
Experience investigating production systems using logs, monitoring tools, and observability platforms
Solid understanding of APIs, client-server architectures, and modern distributed systems
Strong analytical and structured problem-solving ability for ambiguous, high-priority issues
Excellent written and verbal communication skills for cross-functional work with Engineering, TPMs, and product stakeholders
Bachelor's Degree or equivalent combination of education and relevant professional experience
Experience in enterprise device management (UEM) domains such as Apple, Android, Windows, or similar platforms
Familiarity with AI-assisted engineering tools (Cursor, Claude, Rovo, or equivalent)
Background in sustaining engineering, field engineering, or production systems engineering
Experience building or owning test automation frameworks or developer productivity tooling
Familiarity with observability platforms and structured log analysis

Benefits

Comp & perks

Flexible, secure, work-from-anywhere experiences
Travel expectations: Yes