Software Engineer II (Golang)

For nearly 40 years, PDI has helped convenience retailers and petroleum wholesalers adapt to changes in the industry by leveraging the latest technologies. Simplifying the complexity in your world is our main focus. That's why we're delivering an integrated portfolio of global, cloud-based solutions and services to meet our customers' needs today and well into the future. From the back office to fuel logistics, and the latest wave of consumer demands and digital commerce, PDI solutions and services are designed to give you a competitive edge. Our deep domain knowledge is backed by our industry-specific software offerings and a people-first approach. Serving the entire supply chain means that we’ve had to solve a wide range of industry challenges and deliver measurable value. To address the increasingly dynamic convenience retail and petroleum wholesale industry, PDI leads the way with converged digital, cloud-optimized, secure, and scalable solutions including ERP, Loyalty, Fuel Pricing, Point-of-Sale and Logistics to create a broader industry ecosystem. The result is unparalleled insights, simplified operations, and higher profitability for your employees and business. We’re dedicated to helping our more than 1,500 customers in over 50 countries, providing solutions and services to over 200,000 sites.

Job Responsibilities: AI-Powered POS, EPS & Forecourt Development: Build intelligent systems across Point of Sale, Electronic Payment Systems, and Forecourt management using Go, incorporating real-time analytics, payment integration, inventory intelligence, and multi-step automation workflows for retail, hospitality, and fuel environments.

Product Innovation & AI Integration: Develop next generation Go microservices with generative AI features including predictive pump management, fraud detection, and forecourt monitoring optimized for performance, UX, and safety compliance.

Intelligent System Architecture: Leverage LLMs and multimodal models within Go service architectures using gorilla/mux for stateful context management, delivering context-aware experiences across EPS, FEP, and forecourt domains.

Payment & Forecourt Integration: Develop and maintain integrations with payment terminals (ISO 8583, EMV, NFC) and forecourt controllers (Gilbarco, Wayne) using IFSF, OPT, and serial/TCP protocols, ensuring end-to-end PCI-DSS, compliance and reliable pump authorization workflows.

Backend API & Cloud Deployment: Design RESTful and event-driven APIs using Go's standard HTTP stack and gorilla/mux; deploy and maintain Go microservices on Kubernetes using Docker multi-stage builds, Helm charts, Jenkins CI/CD pipelines, and MongoDB-backed observability tooling for high-availability transactional workloads.

Testing, UI & Cross-Functional Collaboration: Write automated tests using Go's native testing package and testify; contribute to agent evaluation frameworks; instrument services with structured logging (lumberjack) and distributed tracing; work closely with product, operations, and POS teams to translate payment workflows into production-ready solutions.

Job Requirements: Core Experience: 3-5 years of professional software engineering with demonstrated ownership in production systems; experience in transactional, high-availability, retail, payment, or forecourt environments is a strong plus.

Go Stack: Strong proficiency in Go (1.20+), including gorilla/mux, MongoDB driver, JWT/OAuth 2.0, goroutines and channel-based concurrency, interface-driven design, and Go module management.

Payment & Forecourt Protocols: Familiarity with ISO 8583, EMV, NFC, and PCI-DSS compliance; familiarity with forecourt integration (IFSF, OPT, pump authorization) and serial/TCP communication protocols is recommended.

Agentic Systems Mastery: Proven hands-on experience building intelligent, automation-driven systems any platform, including agent-based workflow orchestration for multi-step transactions.

AI & Backend Integration: Hands-on experience integrating LLMs or AI services into backend systems, including prompt engineering, RAG, and automation workflows

Data & Vector Technologies: Familiarity with vector databases, embeddings, recommendation systems, and data pipelines for customer behavior analytics and product intelligence

Cloud & DevOps: Experience deploying Go applications to AWS with Docker multi-stage builds, Kubernetes Stateful Sets /Deployments, Helm chart management, and Jenkins CI/CD pipelines.

Web APIs & Real-Time Communication: Experience designing distributed microservice architectures with OAuth 2.0 M2M authentication, RESTful API design, inter-service coordination patterns, and event-driven processing for live transaction and forecourt operations.

Testing & Security: Strong test-driven development practices using Go's native testing package and testify; solid understanding of secure coding, PCI-DSS, precise currency arithmetic and protection against injection/tampering in high-value payment transactions.

Soft Skills: Strong communication and collaboration ability; growth mindset; effective cross-domain teamwork with initiative-taking and good judgment about when to seek guidance. Candidates must demonstrate the ability to effectively leverage AI tools, automation, and modern AI technologies to enhance productivity, problem-solving, and innovation in their daily work. Proven ability to use AI-powered tools to improve efficiency, accelerate development, and solve complex problems. AI proficiency is required: ability to use and adapt to modern AI tools and technologies as part of day-to-day work.

Behavioral Competencies:

• Cultivates Innovation
• Decision Quality
• Manages Complexity
• Drives Results
• Business Insight PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.