Senior Software Engineer

Paramount

. Architect and implement AI-driven services, micro-platforms, and developer tools supporting Global Quality Engineering .

Posted 11/9/2026full-timeUnited StatesSenior💰 $124,000 - $186,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing AI-driven services and micro-platforms, with a strong focus on integrating AI capabilities into CI/CD pipelines and optimizing developer workflows. Proven ability to mentor junior engineers and deliver scalable solutions that enhance automation and productivity.

Highest-signal resume keywords

AI-Driven Services ArchitectureProduction-Grade AI/ML SystemsCI/CD Pipeline IntegrationDistributed Systems KnowledgeTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringBackend DevelopmentMicroservicesCloud PlatformsVector DatabasesEmbeddingsLLM OrchestrationAutomation FrameworksScalable SolutionsProblem-Solving

Soft Skills

Strong CommunicationCross-Functional CollaborationMentorshipArchitectural JudgmentDesign Skills

Industry Keywords

Global Quality EngineeringRAG PipelinesIntelligent AutomationDeveloper ToolsEmerging AI Technologies

Tech Stack

Tools & technologies

CloudDistributed SystemsMicroservices

About the role

Key responsibilities & impact

Architect and implement AI-driven services, micro-platforms, and developer tools supporting Global Quality Engineering
Build and optimize RAG pipelines, embedding systems, and LLM-powered utilities
Develop intelligent automation accelerators that classify failures, detect flakiness, and recommend fixes
Integrate AI capabilities into CI/CD pipelines and existing automation frameworks
Partner with QE, Platform, and Data Engineering to define requirements and deliver scalable solutions
Mentor junior engineers and contribute to engineering standards and best practices
Evaluate emerging AI technologies and propose useful applications
Deliver scalable AI tooling adopted across multiple GQE teams
Reduce triage time and improve automation signal quality
Increase developer productivity through AI-powered tools

Requirements

What you’ll need

4+ years of software engineering experience with robust backend expertise
Proven experience building production-grade AI or ML-powered systems
Strong knowledge of distributed systems, microservices, and cloud platforms
Hands-on experience with vector databases, embeddings, and LLM orchestration
Experience integrating tools into CI/CD pipelines and developer workflows
Strong communication and cross-functional collaboration skills
Technical leadership within a team
Strong architectural judgment and design skills
Ability to break down complex problems and deliver scalable solutions
Mentorship and uplift of junior engineers

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Life insurance coverage
Disability benefits
Tuition assistance program
Paid time off (PTO)
Bonus eligibility
Attractive compensation and comprehensive benefits packages
Opportunities for on-site and virtual engagement events
Opportunities to make meaningful connections and build a vibrant community