Principal Software Engineer
Role details
Job location
Tech stack
Job description
systems, internal developer tools, and automation accelerators that elevate testing
maturity and modernize how GQE delivers quality at scale.
You will partner closely with engineering, platform, and data teams to build AIpowered
solutions that streamline test creation, triage, analysis, and execution. This role requires
deep software engineering expertise, deep architectural judgment, and handson
experience applying LLMs, retrieval systems, and automation frameworks to real
engineering workflows.
This is not a traditional in test role. You will be building AI platforms, internal tools,
and automation accelerators that enable hundreds of engineers across GQE.
Key Responsibilities
AI Tooling Architecture & Platform Development
Design and build AIpowered tools that accelerate test creation, code generation,
defect triage, log/telemetry summarization, and rootcause analysis.
Architect retrievalaugmented generation (RAG) systems, embeddings pipelines,
and domainspecific LLM integrations tailored to GQE workflows.
Develop internal developer tools, CLIs, services, and microplatforms that
integrate seamlessly with existing automation frameworks and CI/CD systems.
Build scalable APIs and services that expose AI capabilities to GQE teams
across brands and platforms.
Intelligent Automation & Quality Acceleration
Create systems that automatically evaluate test failures, classify flakiness, detect
patterns, and recommend fixes.
Build AIassisted test authoring tools that generate highquality test scaffolds,
assertions, mocks, and data models.
Integrate AIdriven insights into CI/CD pipelines to reduce triage time, improve
signal quality, and accelerate release readiness.
Partner with automation framework owners to embed AI capabilities into existing
Javabased frameworks.
Engineering Excellence & Technical Leadership
Serve as a senior technical leader leading the vision for AIenabled quality
engineering across the organization.
Mentor engineers across GQE on AI tooling, platform engineering, and modern
software development practices.
Evaluate emerging AI technologies, frameworks, and platforms to identify
practical, highimpact opportunities.
Establish engineering best practices for reliability, observability, performance, and
maintainability of AI systems.
CrossFunctional Collaboration
Partner with Platform Engineering, Data Engineering, Playback/Video
Engineering, and Product teams to integrate AI tooling into core workflows.
Work with QE leadership to understand pain points, define requirements, and
prioritize highvalue AI capabilities.
Collaborate with DevOps and CI/CD teams to ensure AI tools operate dependably in
production pipelines.
Technical Execution
Build highperformance backend services using Java, Kotlin, Python, or Node.js.
Implement vector databases, embeddings pipelines, and retrieval systems using
tools such as Pinecone, Weaviate, FAISS, or OpenSearch.
Develop microservices, eventdriven systems, and distributed architectures
deployed on Kubernetes and cloud platforms.
Integrate with GitHub, GitHub Actions, Jenkins, and internal automation
Requirements
8+ years of software engineering experience with robust backend development
expertise (Java, Kotlin, Python, or similar).
Proven experience architecting and building productiongrade AI or MLpowered
systems, including LLM integrations, RAG pipelines, or intelligent automation
tools.
Strong knowledge of distributed systems, microservices, cloud platforms
(AWS, GCP, OCI or Azure), and containerization (Docker, Kubernetes).
Handson experience with vector databases, embeddings, prompt engineering,
and LLM orchestration frameworks.
Experience integrating tools into CI/CD pipelines and developer workflows.
Strong architectural judgment, systems thinking, and ability to design scalable
internal platforms.
Excellent communication skills and ability to influence across engineering,
product, and quality organizations.
Preferred Qualifications
Experience building internal developer platforms, productivity tools, or
automation accelerators.
Familiarity with test automation frameworks, quality engineering workflows, or
largescale testing systems.
Experience with observability stacks (Grafana, Prometheus, DataDog, NewRelic)
and telemetry pipelines.
Background in media/streaming, distributed playback systems, or devicelevel
testing environments.
Key Competencies
Technical Leadership sets architectural direction and elevates engineering
maturity.
AI Fluency practical judgment on where AI delivers measurable value.
Systems Thinking ability to design platforms that scale across teams and
brands.
Innovation identifies opportunities to transform workflows through intelligent
automation.
Ownership drives complex initiatives endtoend with autonomy and clarity.
Success Metrics
Delivery of AI tooling that reduces triage time, accelerates test creation, and
improves signal quality.
Adoption of AIpowered tools across GQE teams and measurable improvements
in productivity.
Reduction in flakiness, false positives, and manual triage effort through intelligent
automation.
Increased engineering efficiency and faster release cycles enabled by
AIaugmented workflows.
Strong crossfunctional alignment and consistent usage of AI platforms across brands and pillars.
Benefits & conditions
Hiring Salary Range: $203,000.00 - 260,000.00.
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement.This position is bonus eligible., * Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
- Generous paid time off.
- An exciting and fulfilling opportunity to be part of one of Paramounts most dynamic teams.
- Opportunities for both on-site and virtual engagement events.
- Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
- Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
