Manager, Software Engineer

About Us

At Cast & Crew, we’ve empowered creativity and supported the global entertainment industry for decades. Together with our family of brands - Backstage, CAPS, Checks & Balances, Final Draft, Media Services, Sargent-Disc, and The TEAM Companies – we operate as a combined entertainment technology and services provider offering industry standard screenwriting accounting software, digital payroll products, data & reporting, and a host of creative tools.  The industry continues to move faster than ever, and the need for our expertise, our technology, and our people has never been greater.  We are a production’s best ally every step of the way. #OneCastOneCrew

Position Overview
We are seeking an experienced and motivated Manager, Software Engineering to lead a high-performing team in building scalable, event-driven applications using modern technologies. This role requires deep expertise in .NET Core, React, PostgreSQL, Redis, Elasticsearch, and microservices architecture, along with proven experience in delivering workforce management and scheduling applications (web and mobile).
The ideal candidate will bring hands-on technical expertise and leadership experience, while also incorporating AI-driven practices in the SDLC and guiding the team to leverage AI technologies to build smart, user-centric features such as intelligent dashboards, predictive scheduling, and context-aware guidance.

Core Responsibilities

Technical Leadership & Architecture

• Lead the design and development of event-driven, microservices-based systems using .NET Core.

• Define and enforce architecture standards for scalability, maintainability, and reliability.

• Guide adoption of Redis, Elasticsearch, PostgreSQL for caching, search, and data persistence.

• Oversee React-based front-end applications and mobile app development (iOS/Android, cross-platform frameworks such as React Native or Flutter).

• Architect and deliver workforce management and scheduling platforms, ensuring accuracy, performance, and compliance.

• Incorporate AI in the SDLC (code generation, test automation, code reviews, and quality checks).

• Drive development of AI-powered product features such as:

• • Predictive scheduling & workforce optimization

  • AI-driven dashboards and reporting

  • Intelligent task guidance and process automation

  • Context-aware chatbots for user support

• Ensure that software products meet the highest security standards and comply with relevant industry regulations and data protection requirements.

• Communicate progress, risks, and technical challenges to senior management and stakeholders, providing regular updates on product development initiatives.

• Team Management & Collaboration

• Manage, mentor, and grow a diverse team of engineers across front-end, back-end, mobile, and full-stack roles.

• Conduct performance reviews, provide coaching, and support career development.

• Foster a culture of innovation, AI adoption, and continuous improvement.

• Collaborate closely with Product, QA, UX, Data, and DevOps teams to deliver high-quality, timely releases.

Delivery & Operations

• Oversee end-to-end delivery of AI-driven workforce management applications, ensuring business alignment.

• Monitor system performance, reliability, and scalability, proactively addressing challenges.

• Ensure observability, monitoring, and logging are integrated into distributed systems.

• Lead root-cause analysis and ensure continuous learning from production incidents.

Required Qualifications

• Bachelor's or master’s degree in computer science, Software Engineering, or a related field.

• 8+ years of professional software engineering experience.

• 3+ years in a technical leadership or engineering management role.

• Strong expertise in .NET Core (C#, ASP.NET Core, REST APIs).

• Hands-on experience with React, TypeScript, HTML5, CSS, JavaScript, and mobile frameworks (React Native, Flutter, or native iOS/Android).

• Proficiency with PostgreSQL and familiarity with NoSQL databases (Redis, Elasticsearch).

• Solid knowledge of event-driven design and messaging platforms (Kafka, RabbitMQ, AWS SQS, etc.).