
501 - 1000 employees
📦 Logistics
💼 Consulting
📣 Marketing
Logistics • Consulting • Marketing
PDI Technologies is a company that provides data-driven technology solutions to convenience-centric businesses. The company offers a range of services including logistics, consumer engagement, loyalty programs, cybersecurity solutions, and enterprise resource planning (ERP) and back office systems. PDI Technologies helps businesses in the convenience retail sector, petroleum wholesale industry, and consumer packaged goods market to optimize operations, increase profitability, secure data, and engage consumers. Their offerings also include insights and analytics to help businesses understand consumer behavior and market trends. With over 40 years of experience, PDI Technologies supports over 1,500 companies worldwide.
🔥 2 minutes ago
Where this job comes from
Posted on PDI Technologies's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

501 - 1000 employees
📦 Logistics
💼 Consulting
📣 Marketing
Logistics • Consulting • Marketing
PDI Technologies is a company that provides data-driven technology solutions to convenience-centric businesses. The company offers a range of services including logistics, consumer engagement, loyalty programs, cybersecurity solutions, and enterprise resource planning (ERP) and back office systems. PDI Technologies helps businesses in the convenience retail sector, petroleum wholesale industry, and consumer packaged goods market to optimize operations, increase profitability, secure data, and engage consumers. Their offerings also include insights and analytics to help businesses understand consumer behavior and market trends. With over 40 years of experience, PDI Technologies supports over 1,500 companies worldwide.
• Own application architecture across services, APIs, identity, data access, and integrations • Write production code across back-end services, APIs, and front-end applications • Build new services and features from initial design through deployment and production support • Design scalable, reliable, secure, and multi-tenant applications • Create prototypes and proofs of concept and convert strong ideas into production-ready solutions • Modernize legacy applications toward cloud-native architectures while maintaining product delivery • Develop AI-powered capabilities using LLMs, retrieval-augmented generation (RAG), tool calling, and agents • Design APIs and application capabilities for secure use by AI agents, including protocols such as MCP • Implement evaluation, guardrails, and cost monitoring for reliable, safe, sustainable AI features • Determine where AI adds meaningful value versus traditional software solutions • Review code, pair with engineers, and solve complex technical problems • Establish engineering practices for automated testing, observability, security, performance, and resilience • Use AI-assisted development tools to improve engineering productivity and quality • Create architecture decision records and reference implementations • Partner with Product, UX, QA, Security, and DevOps on scalable technical solutions
• 8+ years of software development experience, including 2+ years in an architect, technical lead, or senior engineering role with ownership of system design • Strong hands-on development skills and recent experience contributing production code • Experience designing and operating multi-tenant SaaS or enterprise applications • Experience building AI-powered features using LLMs, ideally including RAG, agents, tool/function calling, or structured outputs • Deep expertise in at least one modern development language such as C#/.NET, Java, TypeScript, or Python, with working knowledge of another • Experience with modern front-end frameworks such as React or Angular • Strong knowledge of microservices, event-driven architecture, domain-driven design, and API design • Experience with Azure or AWS, containers, Kubernetes, and/or serverless architectures • Knowledge of SQL and NoSQL data design, messaging platforms such as Kafka or Service Bus, and caching strategies • Understanding of modern identity and application security, including OAuth 2.0/OIDC, RBAC, OWASP practices, and secure handling of data used with AI models • Experience with CI/CD, infrastructure as code, observability, automated testing, and performance optimization • Comfortable using AI development tools such as GitHub Copilot, Claude Code, Cursor, or similar tools • Ability to explain complex technical trade-offs to engineers and business partners • Ability to move from architecture discussions to production code and pull requests
• Competitive salary • Market-competitive benefits • Quarterly perks program • Ample time off [time away] • Hybrid working arrangements where appropriate • Continuous learning opportunities • Professional certifications • Leadership development opportunities • Supportive, diverse, and inclusive work environment
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