Staff Full Stack Engineer - United States

Only for registered members United States

20 hours ago

$180,000 - $260,000 (USD) per year *

* This salary range is an estimation made by beBee

The role: · As a Staff Full Stack Engineer you'll play a critical, hands-on role in building, deploying, and optimizing scalable, enterprise-class, production-grade, full-stack custom applications. The ideal candidate has 8+ years of engineering experience, a proven record of ful ...

Job description

The role:

As a Staff Full Stack Engineer you'll play a critical, hands-on role in building, deploying, and optimizing scalable, enterprise-class, production-grade, full-stack custom applications. The ideal candidate has 8+ years of engineering experience, a proven record of full-stack delivery, and deep expertise in designing software solutions from complex UIs and business process workflows to the back-end data sources. You will work across cross-functional delivery teams to shape technical architecture, champion best practices, and directly produce high-value solutions for our users.

What you'll do:

Architect, design, and build end-to-end user-facing software applications using rich interactive user-interfaces with your expertise working with information extracted from databases and APIs (including leveraging native database functions such as Snowflake Cortex or equivalent for advanced AI workloads).
Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices.
Collaborate with the AI engineers on the team to implement production grade multi-agentic AI applications, enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving
Own technical decompositions of new product requirements; lead delivery from ideation to deployment and continual improvement
Deploy, optimize, and monitor complex business process workflows on enterprise frameworks
Automate real-time and batch data flows using orchestration tools such as Apache Airflow.
Participate in code and design reviews, and make technical decisions for design and architecture of software solutions.
Collaborate with Product, Design, and Engineering to deliver high-impact solutions and foster a growth-mindset environment.
Stay current with the latest trends in software engineering, GenAI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.

What you'll need:

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
8+ years of professional software engineering experience, with a focus on full-stack frameworks and engineering to develop custom product delivery specializing in AI
Solid devops and infrastructure-as-code experience using ArgoCD and GitLab for deployment, CI/CD, and environment management.
Advanced proficiency in React, , and front-end–to–back-end custom app development.
Extensive hands-on experience with database platforms - Snowflake strongly preferred, including advanced features, AI/ML integrations, and Snowflake Cortex.
Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.
Track record of delivering high-quality, production-grade, scalable, and highly available cloud-based services.
Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders.
Willingness to take ownership, and champion learning and innovation within the organization.

Nice to have:

Exposure to other cloud-native or AI workflow orchestration platforms.
Prior fintech or high-throughput consumer product experience.
Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.

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