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)
• 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

• Own and maintain Azure DevOps ALM pipelines for managed solution deployment
• Manage Power Platform connection references and service connections across environments
• Coordinate and execute solution releases across Dynamics 365 CRM environments
• Enforce branching standards and release governance practices across the D365 development workflow
• Run solutions through quality validation tooling prior to deployment
• Administer Power Platform environments, maintaining solution layer health and overall environment integrity
• Provide technical support for Power Platform and Dynamics 365 CRM platform issues
• Own the proactive monitoring of CRM platform health
• Support platform audit and compliance requirements
• Work closely with developers and business analysts to understand requirements

D365 Platform Engineer

• 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

• 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

• 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

• Evaluate, design and implement technology solutions to build and progress technology strategies with a line of business
• Be the application owner responsible for third party, purchased software aligned with a LOB
• Work with vendor to understand upcoming changes
• Design plans to ensure business continuity and effectiveness
• Monitor, analyze, and tune mainframe system performance (CPU, memory, I/O, workloads)
• Identify performance bottlenecks and implement corrective actions
• Analyze SMF/RMF data to provide actionable insights and recommendations
• Optimize WLM policies and service class definitions to align with business priorities
• Develop and maintain capacity models to predict future demand and growth
• Perform trend analysis and forecasting for CPU, DASD, and throughput requirements
• Collaborate with engineering and business teams to align capacity plans with strategic initiatives
• Support hardware upgrades, LPAR sizing, and infrastructure scaling decisions
• Perform z/OS system programming tasks including installation, configuration, and maintenance
• Tune system parameters (PARMLIB, JES2, WLM, SRM) for performance optimization
• Support and enhance system automation and health monitoring
• Maintain system software including SMP/E maintenance, patching, and upgrades
• Troubleshoot system-level issues impacting performance and availability
• Utilize performance tools such as RMF, SMF, OMEGAMON, or equivalent
• Generate reports and dashboards to communicate performance metrics to stakeholders
• Develop scripts or automation (REXX, Python, or similar) to improve efficiency
• Follow industry and organizational best practices and standards, and participate in company communities of practice to continuously refine and communicate them.
• Contribute to a culture of continuous improvement.
• Achieve operational excellence by automating processes and creating maintainable, supportable, and testable solutions
• Keep up with technology trends and innovations in your field(s) of practice
• Provide operational support and troubleshooting for your team’s products and services
• Provide coaching, mentoring, and training for new or less experienced team members

Principal Platform Engineer

• The Senior Director, Platform Engineering will have the responsibility of people leadership, with all the responsibilities that people management and leadership entail and will interact and influence leaders across the organization drawing connections to all strategic priorities.
• The main responsibilities will include developing and coaching employees, removing impediments to performance, developing ways to enable collaboration, being a leader of the platform engineering craft, sharing best practices and executing insourcing strategies.
• The Senior Director will handle performance review, compensation and other core human resources processes for their team.
• Will need to work collaboratively across the Technology team and other internal groups.
• The Senior Director will be involved in strategic planning process.
• The incumbent will typically supervise other people leaders but may also have individual contributors.
• Responsible and accountable for the identification of risk by openly exchanging ideas and opinions, elevating concerns.
• They personally follow policies and procedures as defined and are accountable for always doing the right thing for customers and colleagues.
• The incumbent ensures that their actions and behaviors drive a positive customer experience.
• While operating within the Bank's risk appetite, the role achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

Senior Director, Platform Engineering

• Design, develop and maintain data warehouses with scalable architectures to support BI applications
• Analyze business intelligence data and recommend solutions
• Support and guide IT and business customers in designing data warehouse architecture
• Lead and consult on the implementation of data warehouses
• Ensure the solutions align with organizational standards

Senior Data Engineer – Big Data Platform Team

• 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

• 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

• 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

• Evaluate, design and implement technology solutions to build and progress technology strategies with a line of business.
• Be the main liaison with software vendor(s) for systems utilized by a particular line of business.
• Stay abreast of upcoming changes and enhancements in vendor’s software and how those changes will impact the business.
• Work with the line of business to design solutions to incorporate software changes and effectively work with business partners to ensure effective implementation.
• Understand the business technology roadmap and make recommendations on continued utilization or elimination of current third party software solutions.
• Implement and maintain new features and capabilities while continuously improving the quality of our technical products and services.
• Provide operational support and troubleshooting for your team’s products and services.
• Provide coaching, mentoring, and training for new or less experienced team members.

Lead Platform Engineer

• Serve as a senior technical owner for Linux server operating systems, with deep expertise in Red Hat Enterprise Linux 9 and 10.
• Define, maintain, and evolve Linux platform standards, including build standards, configuration baselines, hardening guidelines, and lifecycle strategies.
• Create and maintain product roadmaps that align Linux platform capabilities with business, security, and regulatory requirements.
• Research, evaluate, and experiment with emerging Linux related technologies, determining their applicability and value to the enterprise.
• Translate evaluated technologies into tested, documented, and repeatable platform solutions, including proofs of concept and pilot implementations.
• Lead solutions from concept through pilot and into full enterprise adoption, working with provisioning, security, and operations teams as needed.
• Design and maintain server build templates and reference architectures used by downstream provisioning teams.
• Produce clear, high quality documentation, including standards guides, configuration guides, hardening guides, and standard operating procedures, with the intent of enabling scale rather than performing operational execution.
• Ensure the Linux platform remains secure, current, and sustainable over time.

Senior Technology Engineer – Linux Platform

• Help in designing, building, and operating the university’s shared data infrastructure – including data pipelines, medallion-layer and other framework data products, cloud and/or on-prem tooling, and the integration fabric that connects data systems across the university.
• Help realize the design and build of ETL/ELT and other data integration movement processes for the Reporting and Analytics Environment.
• Engage with other data engineers and enterprise/integration architects within the team.
• Collaborate with OTDI Infrastructure colleagues and specialists in designing and implementing integrations from multiple systems into the team's data environments.
• Work to obtain and refine data requirements, build data integration flows, partner with data and visualization analysts on query optimization and tuning, and confer with data governance resources on metadata requirements.
• Provide production support duties for the systems we manage; respond to help desk issues related to our systems, monitor the production support queue, and respond to data flow failures in a timely manner.
• Participate in rotating off-hours and weekend on-call/pager duty.

Senior Data Platform Engineer

• Monitor OCI service health, logs, dashboards, and alerts.
• Troubleshoot platform issues and customer environment concerns.
• Support development teams with infrastructure questions and deployment needs.
• Manage CI/CD pipeline performance and resolve deployment failures.
• Execute provisioning, onboarding, and configuration requests.
• Update documentation and architecture artifacts as infrastructure evolves.
• Participate in standups, planning meetings, and technical reviews.
• Review OCI consumption reports, billing dashboards, and cost optimization opportunities.
• Conduct IAM, security, and credential audits.
• Evaluate reference architecture environments for configuration drift and required updates.
• Refine deployment methodologies, runbooks, and onboarding documentation.
• Assess Oracle OCI roadmap updates and emerging platform capabilities.
• Contribute technical documentation, architecture guidance, and internal knowledge-sharing content.

Platform Engineer jobs in Ohio

See all jobs on JobTailor

Mid-Level AI Platform Engineer

D365 Platform Engineer

Staff Software Engineer – Platform

Software Engineering Director – Platform Engineering

Platform Engineer – Bare Metal

Principal Platform Engineer

Senior Director, Platform Engineering

Senior Data Engineer – Big Data Platform Team

Lead AI Platform Engineer

Senior AI Platform Engineer

Mid-Level AI Platform Engineer

Senior Data Modeler/Platform Engineer

Data Platform Engineer

Senior Platform Engineer

Lead Platform Engineer

Senior Technology Engineer – Linux Platform

Senior Data Platform Engineer

AI Platform Engineer