Senior Engineering Manager, Core Platforms

Posted 19 days agoViewed

📍 Location: United States

💸 Salary: 175500.0 - 277500.0 USD per year

🔍 Industry: Software Development

🏢 Company: Upwork👥 501-1000💰 about 8 years ago🫂 Last layoff almost 2 years agoMarketplace Freelance Copywriting Peer to Peer

🗣️ Languages: English

🪄 Skills: AWSBackend DevelopmentLeadershipSQLAgileFrontend DevelopmentFull Stack DevelopmentGCPHTMLCSSJavascriptMachine LearningReact.jsVue.JsCross-functional Team LeadershipAzureAngularCommunication SkillsCollaborationCI/CDProblem SolvingRESTful APIsMentoringMicroservicesTeam managementNodeJSPrototypingSoftware Engineering

Requirements:

Proven expertise in full-stack development with deep specialization in frontend technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js).
Experience leading engineering teams of 10+ people, with a focus on mentorship, collaboration, and technical leadership.
A track record of driving product innovation and successfully transforming complex ideas into scalable solutions.
Strong problem-solving, communication, and cross-functional collaboration skills in a fast-paced, iterative environment.
Hands-on experience applying AI/Gen AI concepts, integrating ML models into applications, and working with LLMs. Experience with agentic platforms is a plus!

Responsibilities:

Full-Stack Leadership: Leverage your frontend expertise (React, Angular, or Vue.js) and robust backend knowledge to build and maintain scalable, high-performance services.
Architectural Excellence: Design resilient, cloud-native architectures, including microservices and data pipelines, for high availability and scalability using AWS, GCP, or Azure.
Product Innovation & Rapid Prototyping: Drive product transformation by identifying opportunities for innovation, creating prototypes, and iterating quickly toward customer-ready solutions.
Software Lifecycle Management: Implement CI/CD pipelines for model training, deployment, monitoring, and versioning, ensuring seamless production rollouts and model observability.
AI & Machine Learning Integration: Collaborate with ML experts to embed AI/Gen AI capabilities, including LLMs, into our products to enhance intelligence and user value.
Tech Trend Awareness: Stay ahead of emerging AI/ML trends (e.g., prompt engineering, transformer architectures) and promote continuous learning within the team.
Team Leadership & Growth: Build and lead a high-performing technical team, fostering collaboration, mentorship, and engineering excellence.
Cross-functional collaboration: Work closely with product, data science, design, and ML teams to deliver features based on A/B testing, user feedback, and analytics.

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