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

• 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

Senior Software Developer – Platform Engineering

• Work with senior leadership to address project dependencies, negotiate and estimate incremental delivery dates for milestones with the stakeholder community, and deliver projects on time
• Lead the File Exchange Platform team responsible for GEICO's tier-1 secure file transfer service (~3M monthly transfers).
• Drive modernization from ticket-based operations to a self-service portal, and CMDB-driven self-certification, deliver high availability and geo-distributed resiliency across data centers, and meet NYDFS/PCI compliance and vulnerability SLAs while reducing onboarding cycle time and support burden.
• Lead the UPE team that defines the paved road for PaaS service providers — Platform SDKs (Python, Go, TypeScript, Java), Platform Client UI/UX, IaC as a Service.
• Standardize onboarding, provisioning, deployment, and lifecycle management across public and private cloud; drive onboarding user experience; and deliver blueprint-IaC solutions for consistent, defect-free service integration.
• Drive shared engineering outcomes with UCP partners — advancing UCP to a production-ready tier-1 platform with audit trails, observability-as-code, governance and FinOps integration.
• Identify and raise appropriate project risks, in addition to presenting detailed and implementable solutions or alternatives
• Report on your team's progress for project and other key metrics, in addition to presenting detailed and implementable ideas for areas to further improve or influence product or project delivery
• Cultivate a culture that motivates all levels of performers to higher levels of achievement
• Build and maintain relationships with your team members to support an environment of trust
• Develop the team budget and be accountable for reporting on results achieved at regular intervals

Senior Manager, Staff SW Engineering – Platform Engineering

• Build, test, and deploy end-to-end AI & Analytics applications, connecting AI/ML model inferences to functional user interfaces
• Bridge standard web architecture with machine learning operations (MLOps), handling model deployment and data pipelines
• Work with development teams and product managers to create software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through visually appealing, responsive designs
• Develop, manage, and optimize databases
• Write and consume effective REST Application Programming Interfaces (APIs), troubleshoot, debug, and upgrade software
• Investigate technical, operational, and reliability issues during development and implementation
• Build and integrate software tools that improve system reliability, observability, and scalability
• Support set up of development and production environments, including deployment-related activities
• Develop best practices and methodologies for provisioning, configuration management, monitoring, and troubleshooting
• Collaborate with delivery teams to define and track service level indicators, service level objectives, SLAs, and error budgets
• Create and recommend process improvements that increase stability, efficiency, and operational readiness
• Contribute to the ongoing improvement of operational processes for automated agent workflows

Artificial Intelligence Platform Developer – Mid-Level/Senior

• 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

• Contribute to the implementation and evolution of foundational SDKs and libraries used across Adobe products, supporting consistent telemetry, analytics, and AI-powered services.
• Apply computer science principles including algorithms, data structures, concurrency, memory management, and system architecture to real-world production systems.
• Use AI tools such as Claude Code, Cursor, or the latest for goal-focused development.
• Concentrate on expressing concepts, developing solutions, constraints, and outcomes, and validating results.
• Develop and maintain reference implementations and documentation that help product teams successfully adopt shared platform components.

Senior Software Development Engineer, SDK – Cloud Data Platform Engineering

• Define, architect, and set standards for composable IaC (CDK or Terraform) patterns for Cloud Infrastructure (EKS).
• Drive the adoption and implement composable, idempotent, multi-environment GitOps workflows.
• Optimize scalability and cost-per-performance using metrics-driven automation and autoscaling technologies such as Karpenter.
• Develop and maintain observability across the platform using Prometheus, Grafana, and distributed tracing.
• Lead cross-functional efforts with application teams to define SLOs and capacity models for mission-critical services.
• Lead major production incident response efforts, drive blameless postmortems, and mentor other engineers on production incident response, postmortems, and reliability reviews.
• Create and operate resilient CI/CD pipelines for safe, rapid deployments and rollbacks.
• Champion automation, low-toil operations, and a culture of continuous improvement.
• Develop agentic workflows utilizing the team-wide context layer and operational data to accelerate development without compromising reliability.
• Act as a technical leader and mentor to elevate the team, with a strong ability to listen, evaluate, and give constructive feedback on ideas.

Staff 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

Senior Platform Engineer

• Design, build, and improve secure Power Apps to help replace legacy tracking systems.
• Help simplify workflows by setting up automated processes, custom connectors, and data links between different systems and databases.
• Use standard application tools like Azure DevOps or GitHub to manage version control, track changes, and deploy software updates smoothly.
• Work closely with architects, analysts, and agency staff to turn everyday business requirements into clear development steps and useful documentation.

Power Platform Developer

• Lead the architecture, development, and scaling of VOR platform
• Write code, review pull requests, debug production issues, and make hands-on architectural decisions
• Own VOR's technical direction end-to-end from system design and infrastructure to adoption and mission impact
• Lead cross-functional teams to deliver a platform that integrates seamlessly into client environments

Director of Platform Engineering – VOR

• Define and drive the product roadmap for experimentation and platform infrastructure, ensuring alignment with Nordstrom’s engineering strategy and broader digital product goals.
• Evaluate where AI and automation can accelerate roadmap delivery or unlock new platform capabilities.
• Evangelize the roadmap with stakeholders across Engineering, Product, Digital Merchandising and Analytics.
• Define and monitor KPIs across your portfolio. Use those metrics to make investment decisions.
• Write user stories, acceptance criteria, and technical requirements for platform features, tooling improvements, vendor integrations, and infrastructure upgrades.
• Own launch plans including UAT, communication, change management, and post-launch validation.
• Partner with Engineering Manager and Tech Leads to align on priorities and execution.

Product Manager 2 – Experimentation, Observability, Platform Infrastructure

• 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

• Help define the direction and initiatives for the team and platform.
• Strategize and build fully automated bootstrapping and delivery pipelines.
• Progress and evangelize self-service engineering technologies and approaches.
• Advance the local development experience while maintaining consistency.
• Build self-healing infrastructure that enables fast, robust automated testing.
• Improve the performance and reliability of existing systems.
• Host Brown Bag sessions, demos, and more to drive adoption and collaboration.
• Coach and mentor team engineers and collaborate on designs.

• 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

• Own the operational lifecycle of AI agents deployed across PEMCO: deployment, monitoring, scaling, incident response, and retirement.
• Build and maintain observability for the AI layer, including cost tracking, latency, error rates, model performance, token usage, and production monitoring for agent workers.
• Manage agent orchestration infrastructure, including configuration, versioning, connection management, and tool registration. Current stack includes MCP-based orchestration and Azure OpenAI services.
• Establish runbooks and incident response procedures for AI agent failures. When an agent supporting a business workflow goes down, this role owns the recovery.
• Implement prompt governance controls and role-based model access per Information Security standards: PII exposure monitoring, prompt injection detection, and access enforcement. Contribute requirements and technical capabilities to InfoSec for AI-specific policy development.
• Build the enterprise agent marketplace: deploy and manage AI agents within an enterprise UI framework, ensuring discoverability, versioning, and access controls.
• Evaluate new model releases, track capability evolution, and make recommendations on model selection. Maintain a knowledge management layer for AI operations including decision logs, model inventories, and governance documentation.
• Contribute directly to AI governance and the AI Governance Working Group. Operationalize security, governance, and compliance standards defined by Information Security and Data & AI leadership across all AI deployments.
• Optimize AI infrastructure costs through model selection, caching strategies, batching, and token budget management.
• Partner with the Data & AI team on production readiness for models and agents. Data & AI owns model development, training, and AI governance policy. This role owns the operational deployment, monitoring, fallback behavior, graceful degradation, and knowledge layer integration.
• As the function matures, define team structure, secure headcount, and build a team.
• Demonstrate behaviors consistent with PEMCO's policies, values, code of ethics, and business conduct.
• Authentically support the PEMCO Brand and constantly are on the lookout for top talent to join us to achieve our Mission to Worry Less and Live More.
• Other duties as assigned.

Principal AI Platform Engineer

• Develop and maintain robust Power BI, Power Apps, and Power Automate solutions that meet the government’s requirements.
• Conduct analysis of requirements to identify appropriate Power Platform solutions.
• Conduct comprehensive interviews and workshops with government stakeholders to elicit, clarify, and document business requirements.
• Analyze and document requirements, ensuring a clear understanding of the desired outcomes and functional specifications.
• Identify gaps or inconsistencies in requirements and work collaboratively with stakeholders to resolve them.
• Design, develop, and customize Power BI reports and dashboards to visualize data effectively.
• Build Power Apps solutions that address specific government processes, incorporating intuitive user interfaces and seamless data integration.
• Design and develop SharePoint pages, templates, and sites using HTML, CSS, JavaScript, or any other approved programming language.
• Build SP list and library forms using Power Apps and Power Automate.
• Develop and customize document libraries using content types and site columns.
• Integrate SharePoint workflows with external systems and data sources to automate data retrieval and updates.
• Conduct testing and debugging of workflows to ensure accuracy and reliability.

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Senior Platform Engineer, Operator

• Implement new solutions to business problems using the Power Platform and other applicable cloud platform solutions.
• Participate in project teams with subject matter experts and key stakeholders to understand customer business processes, objectives, and solution requirements.
• Train citizen developers and promote Power Platform usage and growth.
• Assist in monitoring, governing, and controlling Power Platform environments.
• Troubleshoot, debug, maintain, and improve existing solutions.
• Understand high level data visualization needs to provide rich visualizations to leadership.
• Compile and assess user feedback to improve technical solutions.
• Perform other duties as assigned.

Senior Power Platform Developer

• Design, administer, and optimize databases in on-premises and cloud environments.
• Perform database performance tuning, backups, replication, and recovery.
• Enforce access controls, auditing, governance, and retention policies.
• Manage schemas, indexes, stored procedures, and permissions.
• Manage Kubernetes clusters and support containerized database and application operations.
• Administer CI/CD pipelines and automation supporting database and application delivery.
• Participate in Agile ceremonies and collaborative delivery activities.
• Support production operations with urgency and operational discipline.
• Communicate technical risks, issues, and recommendations clearly to stakeholders.
• Build and maintain strong customer trust through technical expertise, responsiveness, and reliability.

Senior Database Platform Engineer I

• We are looking for multiple Platform/Cloud Engineers to build and operate a secure, scalable cloud “landing zone” and platform foundations.
• You’ll define and automate governance using policy-as-code, create reusable infrastructure-as-code (IaC) libraries, and enable teams through CI/CD pipelines and GitOps practices.
• Design, build, and operate cloud landing zones (multi-account/subscription, org structure, network, identity, logging, security baselines).
• Implement governance and guardrails using policy-as-code (e.g., Azure Policy, AWS Organizations/SCPs, OPA/Conftest), including exception handling and auditability.
• Deliver an infrastructure platform as a product to the internal development community.
• Develop reusable IaC modules/libraries (Terraform primary; Bicep/ARM and CloudFormation also valued) and promote standard patterns for teams.
• Build and maintain CI/CD pipelines for infrastructure, OS Images, containers, and platform components using GitOps workflows (PR-based changes, automated validation, progressive delivery).
• Standardize environments (dev/test/prod) with consistent controls, tagging/metadata, and cost management guardrails.
• Embed security and compliance into build/deploy: secret handling, encryption, IAM least privilege, vulnerability scanning, and evidence generation.
• Observability and SRE practices: implement monitoring/alerting and dashboards, support incident response, and help define/track SLIs/SLOs for platform services.
• Collaborate in an agile delivery model; participate in planning, refinement, and execution (SAFe experience is a bonus).

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Lead Data Platform Engineer

Senior Software Developer – Platform Engineering

Senior Manager, Staff SW Engineering – Platform Engineering

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Lead, AI Platform Engineer

Senior Software Development Engineer, SDK – Cloud Data Platform Engineering

Staff Platform Engineer

Senior Platform Engineer

Power Platform Developer

Director of Platform Engineering – VOR

Product Manager 2 – Experimentation, Observability, Platform Infrastructure

Senior Data Platform Engineer

Staff Platform Engineer

Senior Platform Engineer

Principal AI Platform Engineer

Power Platform Developer

Senior Platform Engineer, Operator

Senior Power Platform Developer

Senior Database Platform Engineer I

Senior Platform Engineer