Platform Engineer

• Define and lead the engineering strategy, roadmap, and operating model for the organization’s agentic AI platform.
• Oversee the design, development, integration, deployment, and ongoing operation of platform capabilities.
• Establish platform engineering standards, architectural principles, and development practices.
• Lead cross functional engineering teams in building reusable platform services and tools.
• Partner with product, data, infrastructure, security, and business teams to align platform capabilities.

Executive Director, AI Platform Engineering Lead

• Lead the design, development, integration, deployment, and ongoing support of the organization's AI platform and related engineering capabilities
• Define and implement platform architecture, engineering standards, and development practices
• Partner with product, data, infrastructure, security, and business teams to align platform capabilities with enterprise needs
• Oversee engineering teams in building reusable platform services, tools, and components
• Drive modernization and integration efforts to connect existing systems and processes with AI platform capabilities
• Monitor platform performance and operational health
• Establish effective operating models, support processes, and governance practices
• Communicate platform priorities, delivery progress, technical risks, and investment needs to senior leaders

Director, AI Platform Engineer

• Own the architectural shape of the platform — VPC, managed PostgreSQL, serverless compute, object storage, observability, CI/CD, defined as code.
• Own the security and compliance shape so federal identity standards (SSO, smart-card, federated identity) plug in cleanly when the platform moves into restricted environments: encryption at rest and in transit, audit logging, identity abstraction, tenant isolation, data residency primitives.
• Own architectural portability so deployment in regulated or restricted environments is straightforward when the time comes.
• Own internal developer experience — logs, traces, deploy speed, the local dev loop.
• Be on call for systems you designed; own the postmortem when things break.
• Translate regulatory pressure (FedRAMP, HIPAA, SOC 2, ITAR, or comparable control catalogs) into concrete infrastructure decisions.
• Partner with downstream deployment teams on the handoff into restricted environments.

Principal Platform Engineer

• Collaborate with operations team members and Principal and Staff Engineers to understand desired system level outcomes and operational requirements.
• Investigate, design, test, deploy and support core cloud platform components, including networking, security and resilience features, logging, monitoring, and infrastructure-as-code (IaC) features, to ensure success.
• Design and maintain automated delivery pipelines (Infrastructure as Code) to ensure repeatable, secure feature deployments.
• Manage scalable cloud network topologies, including transit gateways, VPCs, subnets, security groups, and route tables, ensuring low-latency and secure communication between distributed services.
• Provide technical input and guidance regarding responsible components during planning and design sessions with Principal and Staff Engineers to ensure the success of the larger integrated system.
• Provide hands-on technical contributions to the infrastructure design and deployment with a time allocation of approximately 80% on solving technical problems and 20% mentoring, coordinating with Staff and Principal Engineers, and supporting operations.
• Proactively identify repetitive manual tasks and engineer automated solutions to prevent recurrence.
• Act as the second escalation point for complex incidents, leading thorough root cause analysis (RCA) and implementing systemic, long-term fixes.

Senior Platform Engineer, Connectivity

• Own the infrastructure, CI/CD, and developer tooling that keeps our engineering team shipping fast and safely at scale.
• Set the technical direction for reliability, security, and compliance, building these in from the ground up rather than bolting them on later.
• Shape the design and scalability of our external API, turning it into a competitive asset for customers and partners.
• Partner with engineering leadership to define roadmap priorities and translate ambiguous problems into clear technical plans.
• Mentor engineers on the team through design reviews and hands-on collaboration, raising the technical bar across the org.

Senior Software Engineer – Platform Engineering

• Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments.
• Perform GPU profiling, benchmarking, and performance optimization for distributed training workloads.
• Manage and schedule compute-intensive jobs using Slurm-based clusters and OpenShift/Kubernetes environments.
• Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.).
• Collaborate with cross-functional teams to deploy models in research and production environments.
• Build and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps).
• Develop reusable infrastructure templates using tools like Terraform and Helm.

Architect – Platform Engineer

• Define and lead the engineering strategy, roadmap, and operating model for the organization’s agentic AI platform.
• Oversee the design, development, integration, deployment, and ongoing operation of platform capabilities.
• Establish platform engineering standards, architectural principles, and development practices.
• Lead cross functional engineering teams in building reusable platform services, tools, and components.
• Partner with product, data, infrastructure, security, and business teams.
• Drive platform performance, operational excellence, and continuous improvement.
• Guide the modernization of existing systems and processes.
• Communicate platform strategy, technical direction, delivery progress, risks, and investment needs to senior executives and key stakeholders.

• Lead the design, development, integration, deployment, and ongoing support of the organization's AI platform
• Define and implement platform architecture, engineering standards, and development practices
• Partner with product, data, infrastructure, security, and business teams
• Oversee engineering teams in building reusable platform services, tools, and components
• Drive modernization and integration efforts to connect existing systems with AI platform capabilities
• Monitor platform performance, operational health, and user feedback

• Join the Dynamics 365 team as a cross-domain engineer.
• Be a key technical contributor in Dynamics 365, Power Apps, and Office365 projects, focusing on backend development.
• Provide support for project and escalated incident management tickets.
• Work with business leaders to develop solutions.
• Mentor other developers in developing scalable, secure, responsive applications.
• Follow Agile development practices for delivering software components.
• Lead pre-sales activities including meeting prospective clients and proposal writing.
• Research, evaluate, and integrate new technologies related to Microsoft applications.
• Delight clients by delivering Microsoft-based solutions that simplify their business processes.
• Build lasting customer relationships based on exceptional customer service.

Senior Power Platform Engineer

• Meet annual billable hour goal, as defined by HBS.
• Provide 6 hours/week of support for project and escalated incident management tickets for current customers with focus on customer satisfaction and quality.
• Work with business leaders outside of IT to develop solutions.
• Introduce innovation to profitably grow each client’s business.
• Cultivate effective communication with others throughout all levels of the organization.
• Communicate key messages at both Executive and technical leadership levels.
• Be a thought leader on the team in designing, coding, unit testing software.
• Lead development activities using cutting edge technologies to match the fit for our customer from a time, budget, and technical needs.
• Estimate development effort required to deliver small and large projects.
• Mentor other developers in developing scalable, secure, responsive applications.
• Follow Agile development practices for delivering software components.
• Design reusable services and components to build composite applications.
• Provide leadership role in designing applications for our customers.
• Lead pre-sales activities including meeting prospective clients and using your expertise to highlight how Microsoft technologies can solve everyday problems; follow-on presales activities will include solution design, proposal writing, and project estimating.
• Dedicate time to researching, evaluating, and integrating new technologies related to Microsoft applications (SharePoint, Power Apps, Dynamics365 for Sales, and the broader suite of Microsoft productivity applications).

• Responsible for the architecture, roadmap development, efficient operation of Ansible Automation Platform (AAP)
• Blend deep technical mastery with platform engineering leadership
• Envision, design and evolve the Ansible Platform
• Build reusable automation frameworks
• Integrate automation with other platforms like ServiceNow
• Drive operational excellence through AI‑powered automation
• Enable self‑service, reduce operational toil, modernize infrastructure operations

Senior Ansible Automation – Platform Engineer

• Design, implement, and operate the Ansible Automation Platform (AAP) including controller, execution environments, mesh architecture, and collections strategy.
• Define and maintain the Ansible Platform roadmap, including feature evolution, lifecycle management, scalability planning, and enterprise adoption milestones.
• Establish platform governance: coding standards, role/playbook patterns, collections, testing frameworks, and security guardrails.
• Build and maintain Execution Environments (EEs) optimized for performance, security, and dependency management.
• Lead platform upgrades, migrations, and cross-environment standardization.
• Design enterprise-grade Ansible automation frameworks with reusable roles, collections, and modular playbooks.
• Build automation for provisioning, configuration management, patching, compliance, and cloud infrastructure.
• Integrate Ansible with Terraform, CI/CD pipelines, GitOps workflows, and event-driven automation systems.
• Implement self-service automation capabilities for developers, operations, and business teams.
• Integrate Agentic AI systems to enhance automation workflows, including: AI-driven playbook generation and validation, Automated remediation recommendations, Intelligent change-impact analysis, AI-assisted troubleshooting, and root-cause analysis.
• Design automation patterns that combine AI reasoning with Ansible execution for predictive and autonomous operations.
• Collaborate with AI/ML teams to embed automation signals into AIOps pipelines.

Ansible Automation Engineer

• Lead by example, fostering a culture of accountability, technology and architecture excellence, and a customer-first mindset across the organization.
• Attract, build, lead, and develop a high-performing team of technology leaders with diverse expertise, perspectives, and backgrounds.
• Lead the developer experience function, responsible for maximizing AI-enabled developer productivity, efficiency, and satisfaction by reducing friction across the software development lifecycle for thousands of developers building HP products’ software and platform technology stacks.
• Lead the security function, responsible for making secure software delivery the default path, with security embedded into application software, platforms, pipelines, and engineering workflows.
• Lead the data and AI function, responsible for developing and executing a new vision for delivering trusted data, AI, and ML capabilities that software, platform, and product teams can use safely and repeatedly.
• Lead the infrastructure function, responsible for delivering scalable, cost-efficient, secure-by-default infrastructure primitives for all software and platform engineering teams.
• Lead the reliability function, responsible for defining and leading the reliability strategy and execution for the shared platform services that power HP’s products and digital experiences.
• Partner closely with stakeholders to implement and exemplify a true platform engineering producer-consumer model supported by well-defined, aligned service-level objectives.

Vice President, Platform Engineering

• Administer Oracle E-Business Suite R12.2.x, including installation, cloning, upgrades, online patching, and lifecycle management.
• Manage Oracle Database 19c RAC environments, including backup and recovery, high availability, disaster recovery, and performance tuning.
• Support Oracle Fusion Middleware and WebLogic administration, deployments, monitoring, and performance tuning.
• Execute database, EBS technology stack, middleware, and security patching, including Linux administration and vulnerability remediation for Oracle application and database servers.
• Support cloud or hybrid environments across OCI, AWS, or Azure, including automation, monitoring, and production operations.
• Use approved AI tools to explore enterprise use cases and improve productivity, automation, documentation, and service delivery.

Platform Engineer II

• Own day-to-day operations, readiness, and reliability of lab and demo environments.
• Maintain and support Kubernetes and containerized application deployments.
• Support on-prem lab infrastructure, virtualization platforms, virtual machines, and related network/storage dependencies.
• Support development teams by creating reusable deployment patterns, templates, documentation, and runbooks.
• Build, maintain, and improve CI/CD workflows using tools such as Jenkins and GitHub Actions.
• Troubleshoot issues across Linux systems, virtual machines, containers, Kubernetes resources, networking, DNS, TLS, ingress, and application runtime environments.
• Manage and support artifact repository workflows using tools such as Nexus or Artifactory.
• Maintain deployment documentation, environment standards, operational procedures, and troubleshooting guides.
• Help ensure customer demos, training environments, and prototype deployments are stable, prepared, and repeatable.
• Automate environment setup, validation checks, deployment steps, and routine operational tasks using Bash, Python, or similar scripting tools.
• Contribute to platform and deployment design discussions by recommending practical improvements and helping turn architecture direction into repeatable implementation patterns.
• Support basic security and compliance activities, including patching, vulnerability remediation, secrets management, TLS/certificate management, RBAC, least privilege, and secure configuration practices.

• Lead the architecture and design of complex, large-scale distributed systems
• Design, develop, and maintain scalable, fault-tolerant microservices for both real-time and batch data processing
• Build and maintain high-performance REST APIs with a focus on scalability, reliability, and maintainability
• Design and implement data models and queries for efficient storage and retrieval across SQL and NoSQL databases
• Lead data quality initiatives to ensure consistency, accuracy, and reliability of data across the platform
• Collaborate with cross-functional teams to translate platform requirements into effective technical solutions
• Drive technical standards and best practices for code quality, testing, and observability across engineering teams
• Mentor and provide technical guidance to engineers through code reviews, design discussions, and direct support
• Take end-to-end ownership of the software development lifecycle, including deployment, monitoring, and incident response

Staff Data Platform Engineer

• Drive the Vision: Blend your ability to execute with your ability to strategize.
• Build the Internal AI Platform: Create a unified, secure layer that connects AI tools to core platforms.
• Define Tiered Autonomy: Design security patterns for different levels of agent independence.
• Secure the Frontier: Design auth patterns for agentic access.
• Pragmatic Building: Know when to use an LLM and when to write a script.
• Force Multiply the Team: Embed with teams to unblock their workflows.

Staff Platform Engineer, AI Systems

• Leading teams of developers (both Disney Cast Members and external vendors) in major software/data development projects.
• Designing and developing highly scalable, distributed enterprise data platform solutions.
• Design, develop and implement scalable distributed enterprise data platform solutions, focusing on multi-cluster warehousing, data sharing, and optimized storage.
• Write code that establishes and enhances frameworks and design proof of concepts, and review code for correctness, and its impact on software architecture.
• Lead the development of high-performance ETL/ELT pipelines using tools like dbt, Python, Airflow and more to integrate diverse data sources.
• Provide mentorship and direction to more junior software engineers on the team; serve as an advanced resources for other engineers on the team.
• Being the ongoing technical lead for data platform products (post-implementation)—leading engineering support for the production platform, leading ongoing enhancement projects, guiding technical product roadmap
• Partner with Data Science, Analytics, and Product teams to ensure the platform meets evolving business requirements.
• Establish standards for data modeling (Vault, Star Schema), security (RBAC), and data quality frameworks.

Lead Data Platform Engineer

• Serve as a technical anchor on the Platform Engineering Team, driving architectural decisions, leading complex initiatives, and raising the bar for how we build and operate infrastructure.
• Sit at the intersection of deep individual contribution and technical leadership: you're hands-on in the work while also shaping how the team approaches problems, mentoring engineers, and partnering cross-functionally to ensure our systems are reliable, secure, and built to scale.
• Lead the design and implementation of scalable, reliable, and secure system architecture across the platform.
• Identify and drive systemic improvements, proactively surfacing technical debt, reliability gaps, and opportunities to modernize.
• Own and optimize cloud infrastructure, networking, and database systems for high availability and performance.
• Implement and monitor security protocols to protect systems against vulnerabilities and maintain compliance with applicable standards.
• Manage and continuously refine CI/CD pipelines to support reliable, efficient software deployments.
• Collaborate with cross-functional teams to maintain consistent and reproducible development environments.

• Drive significant improvements to core frontend infrastructure
• Design and build generative AI tooling
• Support engineering productivity by reducing toil and establishing best practices
• Research forward-thinking solutions for frontend developer experience
• Support implementation roadmap for core platform infrastructure

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