Principal Software Engineer

🕒 May 1

🏢🏡 New York City – Hybrid

💵 $203k - $260k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Paramount

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1912

📱 Media

👥 B2C

Media • B2C • Entertainment

Paramount is a global multimedia entertainment and news company that offers a range of services including direct-to-consumer digital subscription video on-demand and live streaming through Paramount+. It also owns Pluto TV, a leading free streaming television service, MTV, the world’s premier youth entertainment brand, and CBS Sports, a leader in television sports broadcasts. Paramount Pictures, since 1912, has been a legendary producer and distributor of films, hosting a library of over 1,000 titles. The company is deeply committed to inclusion and impact, focusing on diversity, global sustainability, and content that affects change. Being a significant player in both live and on-demand streaming services, Paramount embraces a wide array of content from sports to kids’ entertainment, comedy, and groundbreaking documentaries, impacting both linear and streaming platforms globally.

📋 Description

• Design and build AI‑powered tools that accelerate test creation, code generation, defect triage, log/telemetry summarization, and root‑cause analysis. • Architect retrieval‑augmented generation (RAG) systems, embeddings pipelines, and domain‑specific LLM integrations tailored to GQE workflows. • Develop internal developer tools, CLIs, services, and micro‑platforms 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. • Create systems that automatically evaluate test failures, classify flakiness, detect patterns, and recommend fixes. • Build AI‑assisted test authoring tools that generate high‑quality test scaffolds, assertions, mocks, and data models. • Integrate AI‑driven 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 Java‑based frameworks. • Serve as a senior technical leader leading the vision for AI‑enabled 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, high‑impact opportunities. • Establish engineering best practices for reliability, observability, performance, and maintainability of AI systems. • 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 high‑value AI capabilities. • Collaborate with DevOps and CI/CD teams to ensure AI tools operate dependably in production pipelines. • Build high‑performance 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, event‑driven systems, and distributed architectures deployed on Kubernetes and cloud platforms. • Integrate with GitHub, GitHub Actions, Jenkins, and internal automation frameworks to deliver seamless developer experiences.

🎯 Requirements

• 8+ years of software engineering experience with robust backend development expertise (Java, Kotlin, Python, or similar) • Proven experience architecting and building production‑grade AI or ML‑powered 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) • Hands‑on 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.

🏖️ Benefits

• medical • dental • vision • 401(k) plan • life insurance coverage • disability benefits • tuition assistance program • PTO • bonus eligible