Product Engineer (AI-Augmented & Full-Stack Systems)

Project overview

Grow your career as a Product Engineer with an innovative global bank in Tampa, FL. Contract role with strong probability of extension and conversion. Will require working a hybrid schedule of 3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Project details

6+ months

Required Skills & Experience

What you'll be doing: 1. Build, Prototype & Ship End-to-End

Act as a primary hands-on builder in an autonomous pod, taking features from whiteboard design through full-stack implementation to production deployment.

Leverage modern AI-assisted development workflows (Claude Code, GitHub Copilot) to rapidly prototype, iterate on user interfaces, and build high-performance backend services.

Deliver resilient, clean, and maintainable code across the entire stack-spanning responsive React frontends, Python microservices, and cloud-native backends.

Partner closely with product managers and domain experts to deconstruct complex user journeys and identify the highest-leverage technical solutions.

Design quick, low-cost technical experiments and interactive prototypes that generate high-signal user feedback before committing to full-scale architecture.

Challenge assumptions at every stage-focusing relentlessly on solving the right problem and measuring real product outcomes rather than raw engineering activity.

Design robust, modular system architectures and clean API contracts that scale cleanly across enterprise workloads.

Make deliberate build-vs-configure-vs-orchestrate decisions, leveraging modern serverless primitives (AWS Lambda, S3, CloudFront), PostgreSQL, document/data stores (PostgreSQL / RDS PostgreSQL), and Infrastructure-as-Code (Terraform).

Establish lightweight architectural patterns, reusable UI components, and shared service utilities that enable the pod to move with high velocity without accumulating unsustainable technical debt.

Serve as the technical benchmark and final line of validation for complex codebases and system architectures-whether authored by engineers or generated by AI tools.

Maintain deep technical fluency to spot correctness bugs, security vulnerabilities, edge cases, and performance bottlenecks in AI-generated output.

Define and champion automated testing strategies (unit, integration, and end-to-end), CI/CD governance, and modern observability practices.

Mentor fellow engineers through pair programming, architectural discussions, and sharing reusable mental models.

Job Facts: Contract W2 | On-site | $63 - $68/hr

Skills: Probability, Banking, Brand, Financial Services, Software Engineering, Leadership, JavaScript, TypeScript, User Experience, Node.js, Java, MySQL, MongoDB, Data Modeling, Systems Design, Amazon Web Services, Microsoft Azure, Google Cloud, Google Cloud Platform, Docker, Kubernetes, IT Management, Workflow, GitHub, Interfaces, React.js, Python, Microservices, Product Engineering, Prototyping, Cloud Computing, API, Amazon Lambda, Amazon S3, Amazon CloudFront, Remote Desktop Services, Amazon RDS, PostgreSQL, Terraform, UI, Apache Velocity, Thought Leadership, Fluency, Artificial Intelligence, Automated Testing, Continuous Integration, Continuous Delivery, Mentorship, Pair Programming

Reference: Dice Id: 10105282 | Position Id: 892593

• 2-8+ years of professional software engineering experience, depending on technical depth, seniority, and leadership scope.
• Ability to lead and mentor other engineers while remaining hands-on
• Demonstrate strong curiosity, observance, and drive.
• Strong technical proficiency in:
• React, JavaScript, TypeScript, UI/UX
• Node.js, Python, Java, REST APIs
• PostgreSQL, MySQL, MongoDB, Data Modeling
• System Design, Microservices, Modular Architecture
• AWS, Azure, Google Cloud Platform
• CI/CD, Docker, Kubernetes
• AI-assisted Development, GitHub Copilot, AI Workflows
• Technical Leadership, Mentoring, Engineering Standards
• Product Thinking, Technical Discovery, End-to-End Ownership
• Drive Hypothesis-Driven Product Engineering
• Architect Scalable, Resilient Cloud Systems
• Provide Technical Thought Leadership & Rigorous Validation
• Start: flexible
• Remote: onsite
• Location: Tampa, FL, US, US