PDI Technologies
From PDI Technologies's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
What You'll Do Design and Build Own application architecture across services, APIs, identity, data access, and integrations.
At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency. By “Connecting Convenience” across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We’re a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.
Design and Build
Own application architecture across services, APIs, identity, data access, and integrations.
Write production code regularly 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, then turn the strongest ideas into production-ready solutions.
Help modernize legacy applications toward cloud-native architectures while maintaining ongoing product delivery.
Build AI into the Product
Develop AI-powered capabilities using LLMs, retrieval-augmented generation (RAG), tool calling, and agents.
Design APIs and application capabilities that can be securely used by AI agents, including through protocols such as MCP.
Implement evaluation, guardrails, and cost monitoring to ensure AI features are reliable, safe, and sustainable in production.
Help determine where AI adds meaningful value and where traditional software solutions are the better approach.
Raise the Engineering Bar
Review code, pair with engineers, and help solve complex technical problems.
Establish strong engineering practices around automated testing, observability, security, performance, and resilience.
Use modern AI-assisted development tools to improve engineering productivity and quality.
Create architecture decision records and reference implementations that engineering teams can put into practice.
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 fine-tuning or open-weight/smaller language models.
Experience modernizing legacy or acquired products into a more unified platform.
Experience working in PCI DSS, SOC 2, or GDPR environments.
Background in retail, payments, loyalty, or supply chain software.
Relevant certifications such as Azure Solutions Architect, Azure AI Engineer, or AWS Solutions Architect.
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in