Senior Full Stack Software Engineer

The role:

As a Senior Software 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 5+ 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 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 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.


• 5+ 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, Node.js, 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.