Platform Engineer

• 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

• Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
• Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
• Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
• Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
• Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
• Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
• Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
• Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
• Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
• Drive automation and standardization through CI/CD, model as a service, and reproducible environments
• Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Data Platform Engineer

• Collaborate with data platform architects to design and specify platform tooling, services, and integrations
• Build data lake and lake house architectures
• Build streaming data architectures to support data platform tooling and services
• Collaborate with software teams to integrate streaming and batch architectures with software products
• Collaborate with data scientists, analysts, and business stakeholders to MVP optimal solutions
• Collaborate with data governance teams and data platform architects to build governance into technical solutions
• Maintain systems and services that provide transparency and observability into our critical systems
• Implement and promote engineering and architectural patterns, perform code reviews, and collaborate in architectural reviews
• Collaborate with product team data engineers and architects to MVP data products, maintain data models, and promote data modeling best practice
• Provide technical leadership and mentorship to product and data engineers, guiding their growth and professional development and enabling their ability to use platform tooling and services
• Lead by example through hands-on contributions to designing, coding, and troubleshooting complex data systems
• Identify and address performance bottlenecks and optimization opportunities within data pipelines, databases, and processing frameworks
• Optimize data processing workflows to improve efficiency and reduce latency
• Lead efforts to diagnose and resolve data-related incidents in a timely manner
• Will participate in the grooming of stories
• Will be responsible for their own tasking towards the completion of stories
• Will mentor junior members of the team and guide junior members on best practice
• Will participate in design
• Will be responsible for the quality of their own code and will participate in code review of others product
• Will be responsible for integrating their own code with the team's DevOps plan and implementation

• support Lilypad tech team as Insurance Platform Engineer
• build integrations and automation against the BriteCore API
• design and implement internal tooling connecting BriteCore to other systems
• configure rates, rules, forms, and product workflows in BriteCore
• troubleshoot platform issues and interface with BriteCore support when needed
• build pipelines and reporting automations that surface policy, billing, and claims data
• identify and build out opportunities for process automation
• partner with AVP of Policy Systems and Reporting to translate business requirements into technical solutions
• document system configurations, integrations, and workflow
• be the technical advocate for the PAS layer in product and engineering planning

Insurance Platform Engineer

• Provision complete infrastructure stacks for new product launches. Recent examples include full EKS buildouts (Karpenter, Istio, Crossplane), PostgreSQL/Redis data stores with IAM authentication, CloudFront distributions, and Datadog instrumentation across multiple concurrent initiatives.
• Lead Kubernetes platform evolution. Drive cluster upgrades, add-on lifecycle (Karpenter, Istio, Crossplane), pod identity migration, and namespace management across all environments.
• Design secure, scalable abstractions that hide infrastructure complexity and define the golden paths other teams build on.
• Own authentication infrastructure for internal and external products: Auth0 SSO, Azure AD/Entra, AWS IAM, EKS Pod Identity, and OIDC federation.
• Drive zero-trust infrastructure patterns. Rotating IAM credentials for RDS, per-app Istio authorization policies, and network isolation.
• Enable LLM-powered workflows (Bedrock, Claude Code, and similar) that let engineering teams move faster without sacrificing governance.

Senior Platform Engineer

• Administering, designing, and delivering secure, scalable Power Platform solutions across the firm’s Microsoft 365 tenant
• Contribute to Power Platform environment strategy, governance, and lifecycle management
• Serve as a Power Platform Administrator
• Partner with Cloud Services, Application teams, Information Security, and other functional groups to deliver enterprise solutions using the Power Platform
• Integrate Power Platform solutions with Azure services and external platforms
• Collaborate with Information Security to ensure solutions meet firm security, privacy, and compliance requirements
• Lead troubleshooting and performance tuning of Power Platform solutions
• Provide technical leadership, mentorship, and guidance to developers

Power Platform Engineer

• Lead the comprehensive architecture and detailed design of enterprise platform services
• Define and implement industry-leading best practices for infrastructure as code
• Drive complex platform modernization initiatives
• Establish and enforce reliability, resiliency, and observability standards
• Partner strategically with product teams, AI engineering teams, security architects, and compliance specialists

Lead, AI Platform Engineer

• Set and drive the technical vision for the team and partner with peer staff/principal engineers to shape direction across adjacent teams (data platform, reporting, internal and external frontends & apps)
• Sit at the table with product and business stakeholders (KBRA Analytics, Bank Product) to translate strategy into a multi-quarter technical roadmap, make build/buy/sunset calls, and own the architectural decisions that come out of them.
• Own the architecture of a Snowflake lakehouse ingesting 30+ regulatory and market data sources (FFIEC, FDIC, NCUA, FactSet, Xignite, SEC EDGAR, FRED, etc.) via S3 external tables, Dask-based transforms, and SQS / Mongo change-stream event pipelines.
• Design and evolve reusable Terraform modules spanning AWS, Azure, Snowflake, MongoDB Atlas, GitLab, Datadog, etc.
• Drive CI/CD, IaC, and acceptance-test (BDD/behave) standards across the team.
• Mentor engineers and act as code-owner across IaC, data-lake, and application repos.

Lead Full-Stack Platform Engineer – KFI Data Platform

• Apply engineering principles to the design, enhancement, and operation of Azure Data and AI platform services.
• Research, procure, deploy, configure, and support Azure Data and AI resources including platform dependencies.
• Provide technical leadership in the architecture, design, and development of enterprise Azure Data and AI solutions.
• Ensure the security and integrity of system and product solutions through secure-by-design architecture.
• Anticipate and adjust for potential impact of platform changes, upgrades, and new service capabilities.
• Anticipate, investigate, and resolve data platform performance and reliability issues by collaborating with Azure Infrastructure teams to identify root causes and implement improvements.
• Provide guidance and technical support to customers onboarding applications to the Azure platform, assisting with Azure data service selection and usage to enable successful business outcomes.
• Implement and enhance monitoring, logging, and alerting for Azure Data and AI platforms to support operational excellence and proactive issue detection.
• Document new platform components and modifications to existing services and publishing standards.
• Engineer Infrastructure as Code (IaC) deployments for Azure Data and AI resources.
• Present clear, organized, and concise technical information to enable business decisions.
• Lead, guide, and mentor less experienced engineers.
• Participate in on-call rotation to provide support for business applications during business and off‑business hours.

Principal Platform Engineer – Azure Data, AI

• Design, build, and deploy Microsoft Copilot Studio agents—including topics, knowledge sources, generative orchestration, authentication, and content moderation—that automate enterprise workflows across the bank
• Develop and maintain custom Power Platform connectors and MCP (Model Context Protocol) servers that securely expose internal banking systems and APIs to Copilot Studio agents and Power Platform makers
• Architect and govern Dataverse solutions—tables, relationships, security roles, business rules, plug-ins, and elastic tables—serving as the system of record for Copilot Studio agents and Power Apps
• Build agent tools, plug-ins, and reusable components in C# and .NET 10 to extend Copilot Studio with custom business logic, API integrations, and AI orchestration patterns (tool calling, RAG, declarative agents)
• Operate Power Platform Application Lifecycle Management (ALM) at scale—managed environments, solution packaging, the ALM Accelerator, Power Platform CLI (pac), and pipelines integrated with GitHub Actions
• Implement responsible AI governance—DLP policies, environment strategy, agent telemetry, evaluation harnesses, content safety, and grounding—ensuring compliance with bank security and regulatory standards
• Partner with software, data, and AI engineers to integrate Azure OpenAI, Azure AI Foundry, and Azure AI Search into Power Platform and Copilot Studio solutions, including knowledge ingestion and retrieval pipelines
• Mentor pro-code and citizen developers on Copilot Studio patterns, Power Platform ALM, secure coding, and AI engineering best practices; champion compliance with change management and SDLC standards.

AI Platform Engineer

• Provision and manage cloud infrastructure across compute, networking, storage, and managed databases
• Maintain consistency across development, staging, and production environments
• Plan and execute workload migrations across cloud providers with minimal disruption
• Identify and implement infrastructure cost optimization opportunities
• Build and maintain CI/CD pipelines across a multi-repository environment
• Implement deployment strategies such as blue/green, canary, and rolling deployments
• Develop automation tooling and scripts to reduce manual effort and improve delivery speed
• Write and maintain Terraform infrastructure across multi-account, multi-environment systems
• Establish IaC standards, module reuse patterns, and state management practices
• Drive infrastructure changes through version-controlled, peer-reviewed workflows
• Participate in on-call rotation and lead incident response efforts
• Maintain observability through dashboards, alerting, logging, and SLO tracking
• Conduct post-incident reviews and implement long-term remediations
• Manage secrets, certificates, and access controls using least-privilege principles
• Apply security best practices across infrastructure, containers, and CI/CD pipelines
• Support audit and compliance initiatives through documentation and access reviews
• Partner with engineering teams on infrastructure guidance and service design
• Create architecture documentation, runbooks, and operational guides
• Help build self-service platform capabilities for engineering teams

• Propose and execute end-to-end solutions to meet our CRM Program’s goals
• Schema and data enhancements in AJO based on upstream events
• Code & fragment changes in AJO
• Journey orchestration changes
• Analyze outcomes and performance KPI’s
• Design and execute A/B and multivariate Experiments in content and journeys
• Work closely with business stakeholders to collect detailed functional requirements
• Translate functional requirements to technical solutions
• Coordinate with Technical Leads to develop, test, and deploy solutions to Production environments
• Writing code and supporting documentation for development projects
• Seeks new information to solve new problems to meet our customer experience & marketing performance goals
• Analyzes gaps and overcomes obstacles to create efficient, streamlined automations

CRM Platform Developer – Adobe Journey Optimizer

• Engineer and implement efficient, scalable systems
• Collaborate with teams to deliver solutions
• Implement improvements in stability, performance, and scalability
• Participate in change request processes
• Develop application scope and objectives and prepare specifications

Lead Platform Engineer

• As a Senior Data Platform Engineer, you’ll be a hands-on engineer on a small, high-ownership data team.
• You’ll work across the full data platform - relational, warehouse, and lakehouse systems - building and operating the pipelines that power compliance, analytics, and reporting workloads.
• Design and build pipelines that move data across systems - supporting data lake ingestion, compliance workloads, and cross-domain data flows.
• Own pipeline operations end to end: monitoring, incident resolution, data quality, and documentation that lets any team member respond independently.
• Identify technical debt and reliability risks and raise them with clear context and proposed next steps.
• Design and maintain schemas across relational, warehouse, and lakehouse layers, working with application engineers and product to get data models right.
• Build out the platform’s service layer, infrastructure-as-code, and data quality frameworks - this role spans design and implementation.
• Keep platform documentation at a level where any team member can understand what exists, how it works, and where the risks are.
• Over time, contribute to the analytics engineering layer, including modeling practices and semantic layer development.
• Contribute to evaluations of the current platform against emerging architectures and tooling, helping produce trade-off analyses and recommendations.
• Bring what you see day to day in the systems you operate into the team’s improvement roadmap and technical direction.
• Track and report on platform health metrics: pipeline uptime, failure rates, data freshness, and cost trends.
• Mentor peers and junior engineers through code review, pairing, and technical guidance.

Senior Data Platform Engineer

• Develop innovative solutions for secure operations of enterprise systems
• Engineer, design, and implement cyber defense capabilities
• Prevent network threats and identify attack vectors
• Provide guidance and direction to lower-level technicians and specialists

Data Analytics Platform Engineer

• Lead all aspects of application development towards meeting North Star Architecture for Verizon’s Value brands.
• Build the next generation of Value core platforms to deliver brand agnostic capabilities.
• Lead team in large scale business and technology transformation, modernization and platform consolidation.
• Drive key strategic initiatives for the organization, working as team leader with a group of delivery leaders, project managers and cross-functional stakeholders.
• Partner closely with vendors to ensure the contract compliance and service delivery.
• Define and implement the enterprise capability roadmap in alignment with overall business strategy and objectives.
• Develop and deploy stakeholder engagement plans to shift technology including digital adoption and artificial intelligence.

Senior Director – Software Development, Platform Engineering, Modernization

• Build, and own end-to-end Data & AI platform (Databricks,AWS or other tech stack) from ideation, prototyping, production deployment and monitoring.
• Architect and scale company-wide GenAI capabilities to support domain-specific business AI Agents embedded into real operational workflows.
• Provide documentation and support to business users to deploy and manage AI agents at scale.
• Lead platform investments in areas like RAG infrastructure, embedding pipelines, LLM orchestration, and multi-modal data processing.
• Serve as a technical anchor and mentor for the broader AI & Data team, raising the engineering bar across the organization.
• Design and integrate AI solutions with internal systems and third-party platforms, including SaaS tools, APIs, data platforms, and enterprise systems.
• Develop and launch AI-powered solutions to improve efficiency and personalization across business functions such as Customer Support, People/HR, Legal, and Finance.
• Collaborate closely with top-tier engineers, data scientists, and business users in a fast-moving environment.
• Apply and scale software engineering excellence, including reliability, observability, and maintainability of production data & AI systems.

Senior AI Platform Engineer

• Design, implement, and maintain infrastructure platforms for delivering applications.
• Build and manage scalable, reliable, and reusable platforms, tools, and environments for application development, deployment, and operations.
• Perform work associated with IT infrastructure and systems administration to include installation, configuration, administration, support and maintenance of IT software and hardware systems, IT data/voice network systems, and internal databases.
• Develop information technology strategies, policies, and plans.
• Ensure performance and resource availability of computers and other IT systems.
• Work under minimal supervision and use complete understanding of business needs and objectives to support projects that have an impact on the achievement of operational goals.
• Demonstrate advanced skill sets and proficiency with procedures and techniques.

Senior Platform Engineer – M365

• Define and maintain golden paths for service creation, including service templates, starter kits, and scaffolding tools that let teams go from zero to production-ready with minimal friction
• Own developer onboarding workflows and maintain high-quality platform documentation
• Establish and evolve CI/CD pipeline standards across the organization
• Design release automation patterns, including rollout safety mechanisms such as canary deployments, progressive delivery, and automated rollbacks
• Build and maintain internal platform portals, reusable infrastructure modules, and paved-road workflows
• Enable product engineering teams to provision resources, configure environments, and ship features independently without reliance on other teams
• Champion platform adoption through clear documentation, enablement sessions, and a consultative approach
• Measure developer satisfaction and platform adoption metrics to continuously improve the experience
• Partner with product engineering, infrastructure, and operations teams to ensure platform tooling meets cross-platform needs
• Translate engineering pain points into scalable platform capabilities• Embed security and compliance requirements such as SOC2 and PCI-DSS into platform tooling and CI/CD pipelines

• Design, build, and support complex Power Apps (Canvas and Model-Driven) used for operational and program management workflows
• Develop and maintain Power Automate workflows including multi-step approvals, routing logic, notifications, and exception handling
• Ensure workflows operate correctly in high-sensitivity client environments, where errors pose delivery and compliance risk
• Design clean, intuitive UI/UX that enables adoption by non-technical federal users
• Build applications that centralize program data, support historical records, and enable operational visibility
• Apply role-based access controls (RBAC) and security best practices in federal client environments
• Collaborate closely with stakeholders and account teams to refine requirements and iterate solutions
• Support deployment, user onboarding, and iterative enhancements

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Lead Data Platform Engineer

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Data Platform Engineer

Insurance Platform Engineer

Senior Platform Engineer

Power Platform Engineer

Lead, AI Platform Engineer

Lead Full-Stack Platform Engineer – KFI Data Platform

Principal Platform Engineer – Azure Data, AI

AI Platform Engineer

Senior Platform Engineer

CRM Platform Developer – Adobe Journey Optimizer

Lead Platform Engineer

Senior Data Platform Engineer

Data Analytics Platform Engineer

Senior Director – Software Development, Platform Engineering, Modernization

Senior AI Platform Engineer

Senior Platform Engineer – M365

Senior Platform Engineer

Junior Power Platform Developer