Principal Production Engineer

About the role

Become a Principal Production Engineer at Paramount, a leading media and entertainment company. Your role will involve owning the reference architecture for the solution layer across various engagements, leading complex integrations, and ensuring platform modules follow defined interfaces.

Responsibilities

• Own reference architecture for the solution layer across engagements
• Lead the design for complex integrations involving multiple systems and environments
• Build or guide critical-path components and reference implementations
• Create reusable libraries and define reference patterns for delivery shapes
• Ensure platform modules adhere to defined interfaces and standards
• Set the production definition of done and conduct readiness reviews for high-impact releases
• Run architecture reviews and targeted technical audits to reduce churn and regressions
• Partner with Core AI/Research & Platform to improve module usability and integration fit
• Identify recurring integration issues and propose improvements for the platform
• Plan for cross-brand compatibility and create playbooks for upgrades and deprecations
• Standardize reliability patterns and ensure end-to-end instrumentation standards are met
• Lead production hardening on critical engagements and ensure operability artifacts exist and are usable
• Ensure the quality and consistency of the Solution Bundle and build shared scaffolding
• Find ways to create standardized integration packages and think about related platform capabilities
• Cross-brand reference architectures, standards, and golden path integration patterns
• Exceptions to standards and significant architectural departures
• Contract changes for platforms and modules including schemas and API/MCP behavior
• Portfolio-level production readiness bar and changes to go/no-go criteria and rubrics
• Pod-level sequencing and sprint-ready scope (with PM partnership)
• Solution design and implementation within established standards
• Release readiness for pod-owned solutions, provided readiness criteria are met
• First-line escalation and incident triage for pod-owned systems
• Coherent, maintainable architecture and standards across the integration portfolio
• Success of complex/critical integrations and technical risk reduction across brands
• Production readiness bar adopted and met consistently (telemetry, reliability, operability)
• Platform interface improvements driven by integration feedback (reduced bespoke work over time)
• Reusable artifacts delivered (Solution Bundles, shared components) that measurably increase leverage
• Fewer integration regressions and reduced churn from platform changes; improved compatibility and upgrade success
• Higher pilot-to-production conversion; fewer late-stage surprises due to environment or security constraints
• Dashboards and runbooks consistently in place; fewer repeat incidents; faster resolution on integration-owned issues
• Measurable workflow KPI improvements and robust stakeholder feedback
• Increased reuse of shared patterns/components; fewer bespoke one-off implementations across engagements

Requirements

• 10+ years in tools/integration engineering or equivalent senior-level expertise
• Expert Python (primary), with demonstrated ability to lead integrations across heterogeneous stacks (e.g., Go/TypeScript/C++)
• Proven ability to ship and operate web apps/services with production-grade observability and reliability
• Deep experience with APIs/service integration, auth/SSO, and data systems in constrained enterprise environments
• Strong cross-functional communication and influence skills; ability to drive platform and research partners toward concrete interface improvements
• Production experience with AI/ML or LLM-based tools, including eval/quality loops and safety considerations
• Familiarity with MCPs or similar orchestration/tooling frameworks
• Media, entertainment, or production workflow background
• Experience with security/privacy/compliance-heavy environments (on-prem, regulated data, strict network egress)

Qualifications

• Master's degree in Computer Science, Engineering, or related field
• Hands-on experience with cloud-native technologies and DevOps practices
• Experience with CI/CD pipelines and automated testing
• Knowledge of microservices architecture and containerization (Docker, Kubernetes)
• Experience with monitoring and logging tools (Prometheus, ELK stack)
• Experience with security best practices and compliance requirements

Skills

• Python
• Go
• TypeScript
• C++
• API/service integration
• Auth/SSO
• Data systems (vector/retrieval)
• Cloud-native technologies
• DevOps practices
• CI/CD pipelines
• AWS/GCP/other cloud providers
• Microservices architecture
• Containerization (Docker, Kubernetes)
• Monitoring and logging tools (Prometheus, ELK stack)
• Security best practices
• Compliance requirements

Benefits

• Generous paid time off
• Medical, dental, vision insurance
• 401(k) plan
• Life insurance coverage
• Disability benefits
• Tuition assistance program
• PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement
• Bonus eligibility

Pay

Hiring Salary Range: $203,200.00 - 304,800.00.

Schedule

Full-time