Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Paramount

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

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and implementing AI-driven services and tools, with a strong focus on backend development, distributed systems, and CI/CD integration. Proven ability to mentor engineers and enhance automation processes to improve productivity and signal quality.

Highest-signal resume keywords
AI-Powered Systems DevelopmentBackend Software EngineeringCI/CD Pipeline IntegrationDistributed Systems KnowledgeMentorship and Collaboration

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI-Driven ServicesMicroservices ArchitectureRAG PipelinesEmbeddings SystemsLLM OrchestrationAutomation AcceleratorsVector DatabasesProduction-Grade SystemsCloud PlatformsSoftware Engineering
Soft Skills
Strong CommunicationCross-Functional Collaboration
Industry Keywords
Global Quality EngineeringAutomation FrameworksEmerging AI TechnologiesDeveloper ProductivityEngineering Standards

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, embeddings 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 functional 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

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan
  • Life insurance coverage
  • Disability benefits
  • Tuition assistance program
  • PTO
  • Bonus eligibility
  • Generous paid time off
  • On-site and virtual engagement events
  • Opportunities to make meaningful connections and build a vibrant community