The Software Engineer III is responsible for designing and implementing scalable, high-performance backend systems, mentoring junior engineers, and integrating AI capabilities into products. They collaborate with cross-functional teams to ensure reliable solutions and continuous improvement in software quality.
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.
Role Overview:
The Software Engineer III is a senior engineering role responsible for designing, building, and evolving
scalable, high-performance software systems. This position partners closely with product, architecture,
and cross-functional engineering teams to deliver reliable backend services, modern cloud-native
applications, and AI-enabled capabilities that improve business outcomes. The role requires strong
technical ownership, sound system design, and the ability to mentor other engineers. Generic role profile for a senior individual contributor focused on backend systems, cloud platforms, and AI-enabled product development.
Key Responsibilities
• Lead system design and technical implementation for complex features, with emphasis on reliability,
performance, maintainability, and security.
performance, maintainability, and security.
• Develop and enhance cloud-native solutions using AWS and modern deployment practices such as
CI/CD, containerization, and observability.
• Integrate AI and generative AI capabilities into products and platforms, including intelligent workflows,
automation, and context-aware user experiences.
• Collaborate with product managers, UX, architects, and operations teams to translate business needs
into production-ready technical solutions.
• Mentor junior engineers through code reviews, design guidance, and engineering best practices.
• Drive continuous improvement in software quality, development standards, operational readiness, and
technical documentation.
• Contribute to troubleshooting, performance optimization, and root-cause analysis across development
and production environments.
• Design and build scalable enterprise applications, backend services, and APIs that support
CI/CD, containerization, and observability.
• Integrate AI and generative AI capabilities into products and platforms, including intelligent workflows,
automation, and context-aware user experiences.
• Collaborate with product managers, UX, architects, and operations teams to translate business needs
into production-ready technical solutions.
• Mentor junior engineers through code reviews, design guidance, and engineering best practices.
• Drive continuous improvement in software quality, development standards, operational readiness, and
technical documentation.
• Contribute to troubleshooting, performance optimization, and root-cause analysis across development
and production environments.
• Design and build scalable enterprise applications, backend services, and APIs that support
high-availability workloads.
Qualifications
• 8+ years of software engineering experience, with demonstrated success delivering production-grade
applications and backend systems.
• Strong backend development experience using technologies such as .NET / C#, Java, Python, or
similar server-side platforms.
• Hands-on experience with SQL Server or other relational databases, including schema design, query
optimization, and data access patterns.
• Proven experience building scalable APIs, microservices, and distributed systems.
• Strong knowledge of software engineering fundamentals, including object-oriented design, testing,
code quality, and secure development practices.
• Experience working in cloud environments, with AWS preferred.
• Strong communication, collaboration, and problem-solving skills, with the ability to work effectively in agile engineering teams.
• Experience integrating AI / ML or generative AI capabilities into software products and business
workflows.
• Working knowledge of Large Language Models (LLMs), prompt design, retrieval-augmented
generation (RAG), and AI service orchestration.
• Familiarity with building intelligent assistants, workflow automation, recommendation features, or
agent-based systems.
• Understanding of vector databases, embeddings, semantic search, and data pipelines that support
AI-driven experiences.
• Awareness of responsible AI practices, including evaluation, monitoring, safety, privacy, and
governance considerations.
applications and backend systems.
• Strong backend development experience using technologies such as .NET / C#, Java, Python, or
similar server-side platforms.
• Hands-on experience with SQL Server or other relational databases, including schema design, query
optimization, and data access patterns.
• Proven experience building scalable APIs, microservices, and distributed systems.
• Strong knowledge of software engineering fundamentals, including object-oriented design, testing,
code quality, and secure development practices.
• Experience working in cloud environments, with AWS preferred.
• Strong communication, collaboration, and problem-solving skills, with the ability to work effectively in agile engineering teams.
• Experience integrating AI / ML or generative AI capabilities into software products and business
workflows.
• Working knowledge of Large Language Models (LLMs), prompt design, retrieval-augmented
generation (RAG), and AI service orchestration.
• Familiarity with building intelligent assistants, workflow automation, recommendation features, or
agent-based systems.
• Understanding of vector databases, embeddings, semantic search, and data pipelines that support
AI-driven experiences.
• Awareness of responsible AI practices, including evaluation, monitoring, safety, privacy, and
governance considerations.
Preferred Qualifications
• Experience with modern DevOps tooling, CI/CD pipelines, infrastructure automation, and monitoring
platforms.
• Exposure to both Windows and Linux environments, scripting, and production support practices.
• Experience working on enterprise, SaaS, retail, payments, or transactional systems is a plus.
• Ability to influence technical direction, break down ambiguous problems, and independently drive
initiatives to completion.
platforms.
• Exposure to both Windows and Linux environments, scripting, and production support practices.
• Experience working on enterprise, SaaS, retail, payments, or transactional systems is a plus.
• Ability to influence technical direction, break down ambiguous problems, and independently drive
initiatives to completion.
Behavioral Competencies
- Ensures Accountability
- Manages Complexity
- Communicates Effectively
- Balances Stakeholders
- Collaborates Effectively
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.
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