Platform Engineer

• Define and execute the enterprise Platform Engineering strategy supporting Consumer Products and Corporate Technology.
• Lead the evolution of engineering platforms that improve developer experience, platform consistency, scalability, and operational efficiency.
• Establish enterprise standards for platform architecture, engineering automation, and software delivery.
• Drive adoption of Internal Developer Platforms (IDPs), Infrastructure as Code, cloud platform engineering, Kubernetes, container platforms, release engineering, environment management, artifact repositories, secrets management, observability platforms, and platform networking.
• Build reusable engineering capabilities that enable product teams to deliver software securely and efficiently.
• Leadership, People Management, Budget & Vendor Management

Senior Director, Autonomous Platform Engineering

• Develop and implement GenAI applications leveraging: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, Prompt engineering techniques, Agentic AI concepts and workflows
• Build intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service
• Evaluate solution performance, accuracy, and scalability of GenAI implementations
• Contribute to the end-to-end GenAI lifecycle, including: Solution design and development, Integration and deployment, Performance tuning and optimization
• Support secure deployment, horizontal scaling, and operational stability of GenAI workloads
• Assist in implementing monitoring, logging, and observability practices for production environments
• Develop and deploy GenAI systems across cloud platforms (Azure and AWS)
• Contribute to distributed system design for scalable AI workloads
• Utilize modern infrastructure practices: Containerization (Docker), Orchestration (Kubernetes), Infrastructure as Code (Terraform, ARM/Bicep)
• Ensure solutions meet enterprise expectations for availability, performance, and security
• Develop scalable applications using Python and microservices-based architectures
• Apply secure coding standards and proper data handling practices for enterprise, regulated environments
• Contribute to CI/CD pipelines, automated testing, and deployment workflows
• Participate in code reviews and adhere to engineering best practices

Mid-Level AI Platform Engineer

• Define the long-term technical strategy and architecture for the enterprise ML Operations Platform.
• Design scalable, secure, and resilient cloud-native platforms supporting machine learning workloads.
• Establish best practices for model development, deployment, monitoring, and lifecycle management.
• Lead architecture for enterprise machine learning infrastructure supporting batch, streaming, and real-time inference.
• Drive adoption of cloud-native technologies, Kubernetes, and modern platform engineering practices.
• Define standards for model governance, observability, reliability, explainability, and responsible AI.
• Partner with infrastructure, security, and engineering teams to improve platform scalability, performance, and operational efficiency.
• Evaluate emerging technologies and recommend architectural approaches that improve platform capabilities.
• Mentor engineers and influence technical direction across multiple engineering organizations.

Principal Engineer – AI/ML Platform

• Own the technical roadmap for Platform Engineering.
• Architect, build, and operate highly scalable backend services using Ruby on Rails.
• Design and operate our Kubernetes infrastructure, cloud architecture, and deployment pipelines.
• Improve developer productivity through CI/CD, automation, internal tooling, and engineering best practices.
• Build and evolve the platform powering our AI products, including LLM orchestration, agent infrastructure, prompt management, evaluation pipelines, model routing, and AI observability.
• Own our billing platform, including subscriptions, licensing, payments, usage metering, invoicing, and Stripe integrations.
• Design and maintain secure, scalable integrations with HRIS platforms, identity providers, and enterprise customers using REST APIs, OAuth, SAML, SCIM, and webhooks.
• Build best-in-class observability through logging, metrics, tracing, alerting, and performance monitoring.
• Improve the scalability, security, reliability, and operational excellence of our platform.
• Lead architectural decisions that impact multiple engineering teams.
• Mentor engineers through technical leadership, design reviews, and engineering best practices.
• Diagnose and resolve complex production issues across infrastructure, applications, and distributed systems.
• Help establish and grow the Platform Engineering function as EasyLlama scales.

Staff Software Engineer – Platform

• Act as an advisor to senior leadership to develop or influence analytical strategies
• Lead the strategy and resolution of highly complex challenges
• Deliver long-term, large-scale solutions
• Provide vision, direction, and expertise on implementing significant business solutions
• Ensure adherence to compliance and legal regulations
• Strategically engage with all levels of professionals and managers across the enterprise

Senior Lead Power Platform Engineer

• Architect and implement secure, compliant data solutions that align with enterprise governance and security standards
• Direct and prioritize the engineering backlog for data platform infrastructure and tooling
• Champion platform selection and onboarding, ensuring adherence to data governance frameworks and regulatory requirements
• Level 3 support for various data solutions and tools
• Collaborate with Data Engineering and Governance teams to design solutions that meet business needs while enforcing security and compliance
• Execute proof-of-concept projects to validate new technologies and ensure they meet governance and security requirements
• Maintain platform security posture, addressing vulnerabilities and implementing best practices for data protection
• Stay current with emerging technologies and recommend solutions that balance innovation with compliance

Senior Snowflake Data Platform Engineer

• Lead and develop a team of software engineers delivering Underwriting/ACAPS capabilities.
• Drive execution of engineering modernization roadmaps, ensuring alignment with business priorities, customer needs, and enterprise technology strategies with clear business outcomes.
• Partner with Product Management, Architecture, Security, and Operations teams to deliver scalable, resilient, and secure cloud-native solutions.
• Establish and enforce engineering best practices including Agile delivery, CI/CD, DevSecOps, automated testing, observability, and SRE principles.
• Oversee API platform development, integration services, microservices architecture, and partner ecosystem connectivity.
• Monitor platform performance, availability, reliability, and operational excellence while driving continuous improvement initiatives.
• Manage hiring, coaching, performance management, succession planning, and career development for engineering talent.
• Lead technology modernization efforts focused on cloud adoption, digital transformation, automation, and engineering efficiency.

Software Engineering Director – Platform Engineering

• Act as an advisor to senior leadership to develop or influence analytical strategies for highly complex business and technical needs
• Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques and advanced data from multiple sources across the enterprise
• Deliver solutions that are long-term, large-scale, and require vision, innovation, and coordination of highly complex activities
• Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions that align to the enterprise
• Ensure adherence to compliance and legal regulations and policies on all projects managed
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Senior Lead Microsoft Power Platform Engineer

• Design and build the next-generation bare metal deployment pipeline to achieve sub-60-second provisioning times
• Develop and maintain Vultr’s bare metal automation and management toolkit
• Implement automated firmware update workflows across the bare metal fleet using IPMI/BMC protocols
• Build and optimize kexec-based fast boot and provisioning flows to minimize deployment latency
• Integrate cloud-init and instance metadata service for bare metal, enabling consistent configuration across VM and BM products
• Develop Puppet and Ansible modules for bare metal server configuration and lifecycle management
• Architect and implement VPC networking for bare metal instances, including network attach and routing automation
• Collaborate with the Provisioning and Orchestration teams to unify OS image pipelines and ensure bare metal integrates cleanly with Vultr’s reservation and assignment systems

Platform Engineer – Bare Metal

• Drive Enterprise Hierarchies M2-M3 to completion, partnering with the platform architect to define data models, account structures, and system dependencies, then translating those decisions into implementation-ready specifications
• Own all processor certification work with full accountability for external deadlines you cannot negotiate
• Manage PCI DSS compliance requirements and translate them into actionable engineering work
• Build and maintain a quarterly product backlog that sequences platform work based on external deadlines, dependencies, and cost of delay
• Lead backlog refinement sessions, ensuring platform stories have unambiguous acceptance criteria that reflect processor specifications and compliance requirements
• Own external processor relationships, be the single point of contact for certification requirements and timeline management
• Coordinate cross-domain dependencies (Hierarchies enables merchant structures and partner account growth)
• Present platform roadmap to leadership showing how infrastructure work connects to company revenue and growth objectives

Product Manager, Platform Infrastructure – Compliance

• Define and execute the bank’s AI technology strategy aligned with business goals
• Identify high-impact AI opportunities across departments (e.g., fraud detection, risk modeling, customer service automation)
• Establish AI governance frameworks to ensure transparency, fairness, and compliance with regulations
• Monitor and mitigate risks related to bias, explainability, and data privacy
• Collaborate with risk, legal, and compliance teams to ensure responsible AI use
• Build and lead multidisciplinary AI teams (data scientists, engineers, architecture)
• Foster a culture of innovation, continuous learning, and ethical AI practices
• Upskill existing staff and promote AI literacy across the organization
• Translate business requirements into scalable AI solutions
• Integrate AI into core banking systems and customer engagement platforms
• Track and report on AI performance metrics (e.g., cost savings, customer satisfaction)

Head of AI Platform Engineering

• Design, develop, and deploy GenAI solutions leveraging: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, Prompt engineering techniques, Agentic AI workflows and orchestration
• Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service
• Lead the end-to-end lifecycle of GenAI solutions including: Solution architecture and engineering, Integration with enterprise systems, Secure deployment and release management, Monitoring, observability, and continuous optimization
• Architect and deploy GenAI applications across cloud environments (Azure and AWS)
• Develop scalable, maintainable applications using Python and microservices-based architectures
• Provide architectural leadership and guidance across GenAI initiatives

Lead AI Platform Engineer

Senior AI Platform Engineer

• Develop and implement GenAI applications leveraging: Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG) architectures
• Prompt engineering techniques
• Agentic AI concepts and workflows
• Build intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service
• Evaluate solution performance, accuracy, and scalability of GenAI implementations
• Contribute to the end-to-end GenAI lifecycle, including: Solution design and development
• Integration and deployment
• Performance tuning and optimization
• Support secure deployment, horizontal scaling, and operational stability of GenAI workloads
• Assist in implementing monitoring, logging, and observability practices for production environments
• Develop and deploy GenAI systems across cloud platforms (Azure and AWS)
• Contribute to distributed system design for scalable AI workloads
• Utilize modern infrastructure practices: Containerization (Docker)
• Orchestration (Kubernetes)
• Infrastructure as Code (Terraform, ARM/Bicep)

• Develops database models to meet business requirements.
• Defines data requirements and business rules.
• Performs physical data modeling.
• Implements and tests database design.
• Plans for collection method, data cleansing, and normalization of enterprise data to support decision-making and reporting.
• Ensures integrity of data, software, and hardware.
• Coordinates data models, dictionaries, and other database documentation across multiple applications.
• Partners with data transformation teams to ensure design is properly communicated.
• Develops policies and procedures related to development and support of new and ongoing systems.

Senior Data Modeler/Platform Engineer

• Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate.
• Contribute toward the success of our technology initiative developing a modern analytics platform for the business.
• Deep understanding of at least one major cloud provider (Azure or AWS) regarding networking (VNet/VPC, PrivateLink), storage (ADLS Gen2, S3), and IAM.
• Advanced Proficiency in at least one programming language.
• Extensive experience with Terraform and the Databricks Terraform Provider to manage workspace resources, clusters, and permissions.
• Extensive Experience building and using automation pipelines using GitLab or similar for CICD and Databricks Asset Bundles (DABs).
• Responsible for designing, developing, testing, operating and maintaining products.
• Takes full stack ownership by consistently writing production-ready and testable code.
• Makes sound design/coding decisions keeping customer experience in the forefront.

Senior Data Analytics Platform Engineer, Databricks

• 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

• Lead an engineering organization of approximately 40–60 engineers and contractors, including engineering managers, with accountability for staffing, performance, and delivery outcomes.
• Own operational and delivery results for mission-critical platforms, with a strong focus on stability, resiliency, availability, and regulatory compliance.
• Provide technical leadership across mainframe and distributed systems, supporting teams during complex delivery challenges, production incidents, and escalations.
• Drive execution of large, high-visibility initiatives, ensuring predictable delivery, transparency, and effective risk management across competing priorities.
• Lead and advance modernization efforts, including modernization on or off the mainframe, while maintaining uninterrupted business operations.
• Strengthen engineering practices through sound design decisions, quality standards, and a culture of continuous improvement.
• Develop and coach engineering managers and senior engineers, with a focus on career development, upskilling, and succession planning.
• Build strong partnerships with product, architecture, operations, and business leaders to align technology delivery with business priorities.
• Champion agile and product-oriented delivery models while maintaining accountability for results.

Platform Engineer jobs in Minnesota

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Senior Director, Autonomous Platform Engineering

Mid-Level AI Platform Engineer

Principal Engineer – AI/ML Platform

Staff Software Engineer – Platform

Senior Lead Power Platform Engineer

Senior Snowflake Data Platform Engineer

Software Engineering Director – Platform Engineering

Senior Lead Microsoft Power Platform Engineer

Platform Engineer – Bare Metal

Product Manager, Platform Infrastructure – Compliance

Head of AI Platform Engineering

Lead AI Platform Engineer

Senior AI Platform Engineer

Mid-Level AI Platform Engineer

Senior Data Modeler/Platform Engineer

Senior Data Analytics Platform Engineer, Databricks

Data Platform Engineer

Software Engineering Director – Card Platform Engineering