Jobs at PDI Technologies

Leads and develops a threat intelligence, threat hunting, and detection engineering team serving multiple customer environments. Owns the intelligence lifecycle, produces strategic and tactical intelligence, develops SIEM and EDR/XDR detections, conducts threat hunts, supports complex incidents, and briefs technical and executive audiences. Establishes ATT&CK coverage, automates workflows, partners with SOC and security engineering teams, and advises customers on threats affecting retail, hospitality, payments, and connected systems.

Provides strategic legal counsel on corporate and commercial matters, negotiates technology and business agreements, advises on contractual, privacy, intellectual property, security, and regulatory risks, and independently manages complex legal matters. Partners with business leaders, supports strategic initiatives and transactions, develops legal processes and templates, manages outside counsel, and delivers practical, risk-based guidance for a technology business.

Designs, develops, integrates, and supports enterprise applications using .NET/C# and Salesforce. Builds APIs and integrations with ERP, data warehouses, marketing platforms, and SaaS applications. Performs advanced troubleshooting, production support, and root-cause analysis. Partners with stakeholders to define technical solutions, supports DevOps and CI/CD processes, establishes development standards, and mentors developers. Owns solutions from requirements through deployment while ensuring performance, security, scalability, reliability, and data quality.

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.

Own and prioritize the Loyalty product backlog, translate customer and business needs into user stories and acceptance criteria, support Agile sprint ceremonies, collaborate with engineering and stakeholders, manage releases, and document features. The role also uses AI-assisted workflows for requirements analysis, documentation, and backlog preparation while balancing new development with maintenance priorities.

Supports strategic HR programs, projects, systems, and process improvements across employee engagement, talent acquisition, compensation, onboarding, and development. Manages ATS configuration, testing, reporting, troubleshooting, data integrity, and vendor coordination. Coordinates HR AI initiatives, change management, training, communications, adoption tracking, acquisition integration, documentation, and stakeholder updates.

Build and maintain BI reports, dashboards, visualizations, audience segments, and analytics solutions for convenience retail, petroleum, and mobile payment customers. Translate customer needs into requirements, prepare and validate data using SQL, support CRM campaigns, analyze program performance, troubleshoot data issues, and optimize BI solutions on Azure. Collaborate with marketing, CRM, technical teams, project managers, and customers while documenting and testing delivered solutions.

Builds and supports CI/CD pipelines, AWS infrastructure, Terraform configurations, Ansible automation, Docker containers, Kubernetes workloads, and monitoring solutions. Troubleshoots infrastructure, deployment, networking, and application issues across multiple environments; automates repetitive operational tasks; supports engineering teams with reusable DevOps solutions and developer self-service capabilities. The role also participates in incident response, root cause analysis, documentation, peer reviews, on-call support, and knowledge sharing.

Leads PDI’s B2B revenue and demand generation engine, owning paid media, ABM, lead management, integrated campaigns, funnel measurement, optimization, and marketing-influenced revenue. Builds scalable processes, AI-driven workflows, and marketing technology capabilities while managing budgets and leading a marketing team. Partners cross-functionally to align campaigns with commercial priorities, improve pipeline conversion, and connect marketing performance to revenue outcomes.

Develop and maintain automated UI, API, integration, smoke, regression, end-to-end, and performance tests. Build reusable test automation frameworks, mocks, stubs, emulators, and test tools while integrating quality gates into CI/CD pipelines. Review requirements for quality risks, troubleshoot failures, improve testability and coverage, and collaborate with Agile engineering and DevOps teams. Use AI-assisted tools for test development and analysis, contribute to quality metrics, and mentor junior automation engineers.

Support, maintain, troubleshoot, and develop enterprise software products in an Agile environment. Diagnose production issues, perform engineering-level testing, tune SQL performance, document solutions, estimate feature work, assess risks, and collaborate with product managers, product owners, engineering leaders, and stakeholders. The role requires a week of after-hours support availability every three to four months.

Leads complex technology sourcing initiatives covering software, SaaS, cloud, and emerging technologies. Develops sourcing and supplier strategies, evaluates markets and vendors, manages RFI/RFP processes, negotiates technology agreements, builds business cases, assesses risk and total cost of ownership, and advises cross-functional stakeholders on technology investments, renewals, supplier performance, and commercial decisions.

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.