Platform Engineer

• Define and execute the enterprise data and analytics platform strategy
• Establish standards, guardrails, and reusable capabilities for data use
• Own the strategy and lifecycle of foundational analytical data products
• Lead a unified organization spanning data engineering and analytics platforms
• Own platform-level enablement of data governance, quality, and lineage
• Lead budget, vendor strategy, and platform investment decisions
• Develop bench strength, succession pipelines, and differentiated talent
• Partner with CIOs, business leaders, and enterprise stakeholders

Vice President – Data & Platform Engineering

• 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

Data Platform Engineer

• 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

• 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

• 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, deploy, and manage Kubernetes and OpenShift clusters across cloud and/or on-prem environments
• Build and maintain CI/CD pipelines to support containerized application delivery
• Implement infrastructure as code
• Monitor platform performance, availability, and security; respond to incidents and optimize systems
• Develop and maintain platform tooling, automation, and self-service capabilities
• Collaborate with development, security, and operations teams to improve platform usability and reliability
• Ensure compliance with organizational security and governance standards
• Communicate with multidisciplinary SAFe Agile teams and articulate technical concepts and ideas effectively.

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