Jobs at PDI Technologies

Onboarding Specialists provide advanced product information, train customers, resolve escalated issues, maintain CRM records, monitor installations, and identify cross-sell opportunities. The role focuses on customer service, technical support, relationship building, feedback tracking, due diligence, and helping customers successfully adopt and use the company’s products.

Develop and support Salesforce and broader business systems solutions, including Apex and Visualforce applications, integrations, extensions, and customizations. Troubleshoot production issues, perform testing, analyze results, document solutions, and collaborate with stakeholders to translate business requirements into technical enhancements. The role also supports system administration, process automation, and ongoing optimization across enterprise applications.

Build and operate multi-cloud infrastructure across AWS and Azure, maintain Kubernetes clusters and Helm deployments, and develop GitOps, CI/CD, and infrastructure-as-code automation. Improve reliability through observability, SLI/SLO tracking, incident response, capacity planning, cost optimization, and resilience initiatives. Participate in on-call rotations, postmortems, documentation, and mentoring while supporting high-traffic payments, loyalty, and fuel-pricing platforms.

Manage and optimize enterprise AWS cloud infrastructure, including EC2 and RDS, while ensuring availability, performance, security, compliance, and cost efficiency. Monitor systems, respond to alerts, lead incident response and root cause analysis, perform deployments and security patching, and maintain operational documentation. Serve as a customer-facing communication lead by running governance meetings, providing status updates, coordinating stakeholders, and driving remediation and technical debt reduction.

The DevOps Engineer III designs and operates cloud-native platforms, CI/CD and GitOps workflows, Kubernetes environments, reusable Terraform/OpenTofu infrastructure, and engineering automation. Responsibilities include AWS infrastructure implementation, observability, complex troubleshooting, reliability improvements, AI-enabled automation, developer self-service, and platform enablement. The role mentors engineers, leads technical workstreams, contributes to design decisions, and participates in operational readiness and on-call activities.

Provides enterprise-level architectural and technical leadership for cloud and platform engineering across AWS and Azure. Defines standards and reusable patterns for Terraform/OpenTofu, GitOps, Kubernetes, CI/CD, automation, governance, observability, security, reliability, FinOps, and developer self-service. Leads cross-team initiatives, architecture reviews, platform modernization, and AI-enabled DevOps capabilities while mentoring engineers and influencing technical direction as a senior individual contributor.

Own the mobile product backlog and translate roadmap initiatives into engineering-ready PRDs, user stories, acceptance criteria, and release plans. Partner with product managers, engineering, design, customers, and support to define Mobile Engagement Manager and platform capabilities. Lead backlog refinement, sprint planning, demos, documentation, prioritization, and release communications while using AI-assisted workflows to accelerate requirements analysis and delivery.

Administer, monitor, and optimize enterprise infrastructure across on-premises and AWS cloud environments in a 24/7 NOC. Responsibilities include incident resolution, system maintenance, networking, IAM, database access, cloud operations, backups, troubleshooting, and AI-assisted incident analysis. The role supports Windows servers, Active Directory, Okta, SQL, AWS, monitoring tools, security controls, and stakeholder communications while maintaining availability and operational standards.

Designs, builds, and deploys AI-powered, cloud-native POS systems for retail and hospitality. Responsibilities include integrating LLMs and generative AI, developing agentic workflows, implementing real-time analytics and automation, establishing evaluation and safety frameworks, and supporting high-availability transactional systems. The role collaborates across product, UX, operations, and business teams while mentoring engineers on secure AI architecture, payment handling, observability, and resilient deployments.

Senior data engineer responsible for designing, building, and optimizing scalable cloud-based data pipelines and lakehouse solutions on AWS. Lead complex integrations, implement data modeling and governance, promote engineering best practices, automate infrastructure and CI/CD, mentor engineers, and collaborate with stakeholders to deliver reliable analytics and BI solutions.

Design, build, and maintain AWS-native cloud data pipelines and ETL/ELT processes (S3, Glue, Redshift, AppFlow, Step Functions). Integrate enterprise apps (Salesforce, NetSuite), develop scalable data models, monitor pipeline performance, ensure data quality and governance, support CI/CD and IaC (Terraform), apply AI/ML for data quality/monitoring, and collaborate with stakeholders and peers.

Designs and deploys AI-enabled platform capabilities, integrating LLMs, prompt engineering, RAG, embeddings, and intelligent workflows. Builds AI evaluation and validation frameworks alongside scalable QA automation for APIs, microservices, distributed systems, and platform services. Integrates automated testing into CI/CD pipelines, validates reliability and performance, and collaborates with engineering, product, data, and platform teams. Provides technical leadership on AI engineering, automation, and quality standards.

Develop and maintain PDI software products, participate in application design, troubleshoot and debug issues, perform engineering-level testing, and collaborate with Product Owners and QA Engineers in an Agile environment. The role includes estimating feature work, documenting solutions, assessing project risks, validating requirements, and applying software engineering fundamentals across web stacks and relational databases.