Left Field Labs · 4 hours ago

Software Engineer, Full Stack

United States

Full-time

Remote

Mid, Senior Level

$115K/yr - $140K/yr

6+ years exp

Maximize your interview chances

ArtBusiness Development

Growth Opportunities

Insider Connection @Left Field Labs

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Build high-quality, functional prototypes that convey and advance the vision of future products

Collaborate with design leadership and key stakeholders throughout the product lifecycle

Work alongside designers, researchers, PMs, and engineers to drive concepts from idea to implementation

Advance design thinking by leveraging your platform expertise (e.g. web, mobile, TV)

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Frontend DevelopmentReact.jsJavaScriptHTMLCSSGitFigmaAWS LambdaWCAG AA StandardsMachine LearningUX CollaborationPrototypingSoftware Engineering Best PracticesViteESLintFramer MotionReduxProtopieCloudFrontS3EC2Bedrock

Required

6+ years of front-end technologist, engineer, or UX prototyper experience

Have coding samples in front end programming languages

Experience developing visually polished, engaging, and highly fluid UX prototypes

Experience collaborating with UX, Product, and technical partners

Experience working within cloud technologies such as AWS Lambda, CloudFront, S3, EC2, Bedrock

Understanding of WCAG AA standards and accessibility fluency

Expertise in working creatively around constraints and navigating ambiguous projects

Experience leading the development of complex prototypes

Experience with a broad range of technologies, including mobile devices, gaming consoles, smart TVs, hardware prototyping, and IoT

Knowledge of professional software engineering best practices, including coding standards, code reviews, source control, CI/CD, testing, and operational excellence

Experience with machine learning (ML) tools and methods, including familiarity with common frameworks, understanding of core ML concepts, and the ability to prototype and integrate ML-powered features into interactive applications

Excellent communication skills, including collecting requirements, describing features, and designing technical solutions