Senior Engineer, Full Stack Engineering

Jobtailor

Massachusetts

On-site

USD 180,000 - 240,000

Full time

8 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Jobtailor is seeking a senior technology leader to architect and ship scalable cloud applications across AWS, Azure, or GCP. You will drive AI/ML integrations, own full-stack development from UI to APIs, and lead cross-functional teams in a fast-paced, product-focused environment.

The role emphasizes technical leadership, DevOps excellence, and responsible deployment, with collaboration across product, design, and engineering to deliver client solutions.

Qualifications

8+ years building production-grade solutions with leadership experience.
Expert in React, React Native, Redux or Zustand, TypeScript, modern JavaScript, and responsive component libraries.
Expert in AI application development with LangGraph, LangChain, LlamaIndex, AWS Bedrock, and OpenAI APIs.
Knowledge of token optimization, cost management, and streaming responses.
Expert in Python and Django with REST and GraphQL API design.
Experience with asyncio and FastAPI for AI workloads.
Experience with multimodal AI, fine-tuning, model adaptation, data quality, and AI governance.
Hands-on Docker and containerization experience.
Experience creating CI/CD pipelines with Git, Jenkins, and Artifactory.
Deep AWS, Azure, or GCP development experience, including serverless, containers, security, IAM, OAuth, JWT, and SSO.
Experience with RDBMS, NoSQL, and semantic databases, schema design, and query optimization.
Proficiency with Jest, Pytest, Selenium, Webpack, Vite, Git workflows, and trunk-based development.
Experience with CloudWatch, Sentry, and Langfuse.
Clear communication, initiative, follow-through, and collaborative problem-solving.
Life sciences background.
Cloud or AI developer certifications such as AWS, Azure, or GCP.
Experience shipping AI-powered features to production.
LLM and AI agent development experience.
Open-source contributions.
PWA development and edge computing optimization.

Responsibilities

Architect and ship scalable cloud applications on AWS, Azure, or GCP using event-driven microservices and serverless architectures.
Lead technical architecture decisions, code reviews, development standards, and technical roadmaps.
Own full-stack development from accessible UI implementation to Django REST and GraphQL APIs.
Build real-time features using WebRTC, WebSockets, and Server-Sent Events.
Establish coding standards, testing strategies, documentation, and deployment patterns.
Champion DevOps, security compliance, CI/CD pipelines, and observability with APM tools.
Lead and mentor teams through agile delivery and technical knowledge sharing.
Collaborate with data engineering teams on pipeline integration and consumption patterns.
Lead production incident response and post-mortems.
Evaluate emerging AI/ML tools and frameworks.
Bridge product, design, and engineering to deliver client solutions.

Skills

React

React Native

TypeScript

Python

Django

AI Application Development

RDBMS

NoSQL

Education

8+ years professional experience

Tools

Docker

CI/CD Pipelines

Git

Jenkins

Artifactory

Webpack

CloudWatch

Langfuse

Job description

• Architect and ship scalable cloud applications on AWS, Azure, or GCP using event-driven microservices and serverless architectures
• Build AI/ML integrations using modern frameworks, including prompt engineering, RAG patterns, and agent orchestration
• Lead technical architecture decisions, code reviews, development standards, and technical roadmaps
• Own full-stack development from accessible UI implementation to Django REST and GraphQL APIs
• Build real-time features using WebRTC, WebSockets, and Server-Sent Events
• Establish coding standards, testing strategies, documentation, and deployment patterns
• Champion DevOps, security compliance, CI/CD pipelines, and observability with APM tools
• Lead and mentor teams through agile delivery and technical knowledge sharing
• Collaborate with data engineering teams on pipeline integration and consumption patterns
• Lead production incident response and post-mortems
• Evaluate emerging AI/ML tools and frameworks
• Bridge product, design, and engineering to deliver client solutions

Requirements

8+ years building production-grade solutions with proven technology leadership
Expert in React, React Native, Redux or Zustand, TypeScript, modern JavaScript, and responsive component libraries
Expert in AI application development with LangGraph, LangChain, LlamaIndex, AWS Bedrock, and OpenAI APIs
Knowledge of token optimization, cost management, and streaming responses
Expert in Python and Django with REST and GraphQL API design
Experience with asyncio and FastAPI for AI workloads
Experience with multimodal AI, fine-tuning, model adaptation, data quality, and AI governance
Hands-on Docker and containerization experience
Experience creating CI/CD pipelines with Git, Jenkins, and Artifactory
Deep AWS, Azure, or GCP development experience, including serverless, containers, security, IAM, OAuth, JWT, and SSO
Experience with RDBMS, NoSQL, and semantic databases, schema design, and query optimization
Proficiency with Jest, Pytest, Selenium, Webpack, Vite, Git workflows, and trunk-based development
Experience with CloudWatch, Sentry, and Langfuse
Clear communication, initiative, follow-through, and collaborative problem-solving
Life sciences background
Cloud or AI developer certifications such as AWS, Azure, or GCP
Experience shipping AI-powered features to production
LLM and AI agent development experience
Open-source contributions
PWA development and edge computing optimization

Core Competencies

Demonstrates expertise in architecting and developing scalable cloud applications using AWS, Azure, or GCP, with a strong focus on AI/ML integrations and full-stack development. Proven leadership in technical architecture, coding standards, and agile delivery, alongside a solid foundation in DevOps practices and security compliance.

Highest-signal resume keywords