Staff, Software Engineering

Cast & Crew is a leading provider of entertainment technology and services. They are seeking a Staff Software Engineer to serve as a technical anchor for their engineering teams, focusing on architecture, modernization, and fostering a culture of excellence. The role involves guiding teams in AI-driven development practices and ensuring alignment with long-term engineering goals.

Responsibilities:

• Serve as "Anchor" (team lead) for one or more engineering teams, providing technical direction and accountability
• Develop architecture and strategy for features and projects, ensuring alignment with broader modernization goals
• Lead the adoption of new technologies while maintaining architectural cohesion across the platform
• Guide tech-debt elimination in parallel with feature development, balancing long-term health with near-term roadmap commitments
• Evaluate multiple approaches to complex problems and champion optimal, evidence-based solutions
• Champion the team's adoption of AI-driven development practices, serving as the primary advocate and practitioner on the ground
• Design and build Model Context Protocol (MCP) servers and AI skills that extend and integrate AI capabilities into the team's workflows and products
• Contribute to the broader AI tooling ecosystem, including AI-driven peer review pipelines, context retention mechanisms, prompt and memory management utilities, and other infrastructure that improves the efficiency and reliability of AI-assisted workflows
• Monitor and assess AI-driven development progress across the team, identifying opportunities to accelerate adoption and address gaps
• Apply AI to quality engineering — leveraging it to enhance test coverage, automate regression analysis, and surface risk earlier in the development cycle
• Use AI to analyze customer usage patterns, surfacing insights that inform product decisions and help the team build with greater empathy and precision
• Contribute to and help shape the company's AI-driven engineering culture — modeling best practices, sharing learnings broadly, and influencing how AI is adopted across teams beyond your own
• Mentor team members on effective, responsible use of AI tooling — from code generation to agentic workflows — helping them build fluency and confidence
• Adhere to and operationalize guidelines established by the AI Center of Excellence, ensuring the team's AI practices remain consistent, secure, and aligned with organizational standards
• Evaluate emerging AI development tools and frameworks, providing informed recommendations on what to adopt, pilot, or defer
• Establish and model best practices in code quality, testing, DevOps, and software design
• Leverage peer review processes as a lever to raise the quality bar across the team
• Quantify engineering excellence and provide teams with clear capability roadmaps
• Stay current with industry trends and inspire the team to explore and adopt better solutions
• Drive deep understanding in technical discussions — going beyond surface-level involvement to uncover root causes and durable solutions
• Present complex technical concepts clearly to audiences with varying levels of expertise, from engineers to product and business stakeholders
• Understand customer motivations, needs, and frustrations within the context of both the technology and the broader industry
• Balance a commitment to technical excellence with pragmatic product roadmap goals
• Provide mentorship to engineers at all levels, fostering continuous growth for both individuals and the team as a whole
• Champion a culture of analytical and evidence-based decision making

Requirements:

• 7+ years of professional software engineering experience, including hands-on work with both strongly-typed and dynamically typed languages
• Proficiency across multiple technology stacks with a 'T-shaped' profile — broad knowledge of modern engineering disciplines paired with deep expertise in key areas
• Demonstrated ability to modernize legacy applications and resolve complex architectural challenges
• Strong command of Domain-Driven Design (DDD) principles and software engineering design patterns
• Expertise in monolith decomposition strategies that maintain roadmap alignment and minimize disruption
• Well-versed in DevOps practices and quality engineering disciplines (CI/CD, testing strategies, observability, etc.)
• Hands-on experience building MCP servers and/or AI skills, with a strong understanding of agentic workflow patterns and context management strategies
• Experience contributing to AI tooling — such as AI-assisted code review systems, memory/context retention utilities, or developer productivity infrastructure built around LLMs
• Familiarity with applying AI to quality engineering and customer analytics (e.g. test generation, usage pattern analysis, behavioral insights)
• Familiarity with AI-assisted development tools (e.g. GitHub Copilot, Cursor, Claude Code) and a track record of driving their adoption within an engineering team
• Awareness of AI governance principles and the ability to apply organizational AI standards in day-to-day engineering practice
• A genuine enthusiasm for AI-driven development culture — someone who leads by example and helps others grow their AI fluency
• Proven ability to think strategically while executing tactically and operationally
• Skilled communicator with experience presenting to mixed technical and non-technical audiences