R&D Software Engineer

DAKCS Software Systems and PDCflow•Ogden, UT

1d•Hybrid

About The Position

We are looking for a Software Engineer (R&D Focused) to play a key role in building PDCflow’s next-generation payment and transaction platform. First and foremost, you will be a hands-on backend software engineer helping design, write, and deliver core features for our newest product. Beyond day-to-day product development, you will bring an exploratory R&D mindset to the team: researching emerging technologies, building rapid proofs-of-concept (POCs), and identifying better ways to modernize our stack. Your main day-to-day work will be backend-heavy (Java, Spring, PostgreSQL, Docker), building secure, high-throughput engines for our new product line. Side-by-side with feature delivery, you will explore new tools (such as Claude Code and AI-assisted dev workflows) and test lightweight frameworks (like Svelte) to continually optimize how our engineering organization builds, containerizes, and deploys secure financial technology.

Requirements

5+ years of hands-on software development experience with a strong foundation in backend engineering.
Solid proficiency in Core Java and Spring Boot for building robust backend services and REST APIs.
Strong SQL skills with PostgreSQL—ability to analyze, design, and optimize data models during POC development.
Experience using Docker for local development setups, containerizing applications, and environment configuration.
A track record of testing new libraries, tools, and developer utilities on your own initiative.

Nice To Haves

Active experience or curiosity in AI-assisted development tools (Claude Code, GitHub Copilot, or CLI LLM integrations).
Familiarity with lightweight web frameworks like Svelte for rapid front-end prototyping.
Exposure to fintech, payment processing, or compliance environments (PCI-DSS, HIPAA).
Familiarity with microservices architecture, messaging queues, or cloud infrastructure (AWS/GCP).

Responsibilities

Design, build, and deploy production-ready RESTful APIs and backend microservices for PDCflow’s newest platform features using Java and Spring Boot.
Write efficient SQL, design relational schemas, and optimize database performance in PostgreSQL to handle high-volume transaction processing.
Package, run, and optimize containerized services using Docker across local and deployment environments.
Research, benchmark, and build targeted POCs for emerging tools and architectural patterns before bringing viable solutions into our core codebase.
Experiment with and incorporate AI-assisted developer workflows (Claude Code, LLM coding agents) to accelerate refactoring, testing, documentation, and feature delivery.