PDI Technologies
Software Engineer III
TLDR
Design and build scalable, high-performance software systems while mentoring junior engineers and contributing to developing AI-enabled capabilities.
Key Responsibilities
Qualifications
Ensures Accountability
Manages Complexity
Communicates Effectively
Balances Stakeholders
Collaborates Effectively
• 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.
• 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.
Preferred Qualifications
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.
• 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.
Behavioral Competencies
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.
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.
PDI Technologies develops technology solutions specifically for convenience retail and petroleum brands, focusing on tools that enhance productivity and operational efficiency. With a proven track record of supporting over 1,500 customers worldwide, PDI delivers enterprise management software designed to drive growth and adapt to the evolving demands of the industry.
- Founded
- Founded 1983
- Employees
- 500+ employees
- Industry
- Gas Utilities
- Total raised
- $7.3M raised
Software Engineer III