LATAM – Sr Frontend Developer Insight Global

Skills / Requirements

• AI Development
• AWS
• Cloud Technologies
• Core Web Vitals
• Cross-browser Compatibility
• Docker
• GCP
• Generative AI
• GraphQL
• JavaScript
• Kubernetes
• Microservices
• Monorepo
• Next.js
• Node.js
• Performance Optimization
• RAG Systems
• React
• REST API
• TypeScript
• Vibe Coding

Why Apply

This role is ideal for developers skilled in AI tools like Cursor, Copilot, and Claude Code, focusing on Generative AI and Retrieval-Augmented Generation systems. You'll work with AI-driven development practices, optimizing workflows with AI tools to enhance user personalization and intelligent recommendations.

What You'll Be Doing

You'll work closely with product, design, and engineering teams to implement AI features and build production-grade web and mobile applications. Your day involves rapid prototyping, adhering to engineering standards, and ensuring front-end performance and observability. Collaborating on AI-driven solutions and maintaining scalable, type-safe code are key aspects of your work.

Pay and Career Growth

The role offers a chance to work with cutting-edge AI technologies in a fast-paced environment. CBSSports emphasizes collaboration across teams and provides opportunities to influence engineering standards and practices. The company supports diversity and inclusion, fostering a culture where everyone can thrive.

Benefits and Perks

• competitive salary
• Diverse Environment
• Equal opportunity
• Inclusive culture

Is This Role Right for You?

Original Job Description

Job Description

Senior Front-End Software Engineer, Solutions Team – CBSSports

Join CBSSports and shape the future of sports media through cutting-edge AI-powered content and

deeply personalized fan experiences across mobile, web, and digital platforms. We are seeking a Senior

Front-End Software Engineer to join our Solutions Architecture team. In this role, you will partner with

product, design, and engineering teams to build, prototype, and deliver innovative AI solutions at scale.

What You Will Do

● Implement AI Features: Implement and assist in the architecture of advanced Generative AI and

Retrieval-Augmented Generation (RAG) systems to power intelligent recommendations and

dynamic user personalization.

● Build and Ship: Contribute to the rapid prototyping and full-cycle development of

production-grade features for mobile and web applications.

● Contribute to Standards: Adhere to scalable platform standards, engineering patterns, reusable

components across the organization, and help improve them over time.

● Collaborate and Prototype: Work closely within a small engineering group, partnering with

design and product teams to rapidly design, develop, and prototype solutions to key business

challenges.

● Ensure Quality: Follow defined guardrails to ensure fast, secure, and compliant adoption and

deployment of “vibe coded” and “agentically developed” applications. Write robust requirements

and production-quality code.

● Utilize AI: Utilize AI development tools to optimize your workflow and promote the use of

AI-driven development practices across the team.

● Operational Excellence: Implement solutions with scalability and reliability in mind,

incorporating appropriate testing, monitoring, and alerting.

● Document and Review: Contribute to clear documentation and diagrams to facilitate easy

onboarding for other engineers and support teams. Review code to ensure adherence to best

practices (style, testability, efficiency).

● Front-End Performance & Observability: Contribute to improvements in front-end performance

(Core Web Vitals, bundle size, caching) and observability (RUM, error tracking) for web and

mobile applications.

● Monorepo Tooling: Utilize and contribute to the evolution of monorepo tooling and workflows

(e.g., Turborepo, Nx) to support build, test, and deploy across web and mobile applications.

● Type Safety & Standards: Adhere to and contribute to the evolution of TypeScript and typing

standards (e.g., strict mode, shared types, codegen) so that codebases stay maintainable,

type-safe end to end, and refactor-safe.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

Experience in AI: Familiarity with Generative AI and RAG architectures.

● Platform Experience: Experience contributing to scalable platform products and adhering to

cross-team engineering standards.

● Stakeholder Collaboration: Ability to collaborate effectively with cross-functional stakeholders

in a dynamic, fast-paced environment.

● Browser & Performance: Solid understanding of browser behavior, rendering, and front-end

performance (e.g., Core Web Vitals, lazy loading, code splitting).

235 Second Street, San Francisco, CA 94105

● Monorepo Experience: Experience with monorepo tooling and workflows (e.g., Turborepo, Nx),

including shared packages, task pipelines, and cross-project dependencies.

● Education & Experience: BS in Computer Science or equivalent experience.

● 5+ years of experience building scalable, production-grade web applications using

modern JavaScript frameworks (React, Next.js) and Node.js.

● Strong expertise in JavaScript and TypeScript, including asynchronous programming,

generics, strict typing, and advanced ES6+ features.

● Knowledge of HTML and CSS, including responsive layout, cross-browser compatibility,

accessibility, and performance optimization.

● Experience consuming and designing APIs (REST and GraphQL), including Apollo Client

and microservices-based architectures.

● Experience modeling complex data flows for transactional and integration workflows.

● Experience working with cloud platforms (AWS, GCP, or OCI) and containerized

environments (Docker, Kubernetes).

● Familiarity with distributed systems concepts including caching (Redis, Memcached)

and messaging systems (Kafka, RabbitMQ).

● Experience building highly scalable, high-performance applications.

● Strong debugging and performance troubleshooting skills, including use of

monitoring/observability tools (e.g., OpenTelemetry, New Relic).

● Soft Skills: Able to analyze, debug, and troubleshoot complex code problems. Passion for

sports and a dedication to creating exceptional fan experiences.

● Technology Evaluation & Communication: Comfortable evaluating multiple technologies or

approaches and presenting tradeoffs and options to your team. ● AI/ML Experience:

● Experience working with LLMs and/or MCP servers/technologies.

● Experience with AI technologies and processes like vector embeddings.

● Experience with one or more vector databases (e.g., TurboPuffer, Mongo Atlas).

● Cloud Focus: 2+ years experience working with Cloud technologies (AWS is strongly preferred).

● Frontend Skills: React/Next.js experience with fundamental HTML/CSS (layout, specificity,

cross-browser compatibility).

● Collaboration: Experience in cross-team collaboration for requirements, implementation, and

testing.

● Certifications: Cloud certifications (GCP, AWS, OCI).

● AI Tooling & Standards: Experience with AI development tools (Cursor, Copilot, Claude Code,

etc.) and with setting up guardrails—rules, commands, skills, sub-agents—to keep AI-generated

code clean, consistent, and production-ready.

● Theming & Styling: Experience with multiple styling approaches (Stylex, CSS Modules, SASS,

CSS-in-JS) and design tokens in component libraries or design systems.