Platform Engineer

• Develops a data platform infrastructure strategy that tackles large, open-ended problems using forward-thinking approaches.
• Contributes to the strategic direction of the Platform Engineering team.
• Creates technical strategy for broad or complex requirements with forward-looking approaches that go beyond the Platform Engineering team and solve large open-ended problems.
• Leads all aspects of technical architecture, design, prototyping and implementation in support of both Platform Engineering needs, as well as overall technology strategy.
• Provides leadership and technical expertise in support of building a technical plan; provides follow through on execution.
• Builds cross-functional relationships with peers and internally within the Platform Engineering team.
• Takes part in high visibility technical projects from inception to implementation.
• Stays current with industry trends and innovations through continuing education in Platform Engineering utilizing company provided training.
• Mentors junior team members with guidance around techniques, tools, and best practices.
• Supports the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Staff Engineer – Platform Engineering

• This Product Manager would be joining a team dedicated to building out and expanding operational data infrastructure, integrating machine learning models into our ecosystem, and working closely with partner teams to enable smarter segmentation and decisioning.
• Scope includes working with Enterprise platforms to identify new technology, patterns and data sources, business partners to identify the highest leverage areas for expanding capabilities, and with risk management to ensure our process works seamlessly end to end.
• Card Collections and Recoveries make up the Customer Resiliency team, and our product and business analyst teams share end-to-end ownership of the customer experience and drive meaningful P&L impact each quarter.

Manager, Product Management – Data Infrastructure

• 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

• Build the tool surface an agent acts through, the retrieval and context layer that grounds it in the right clinical and operational data, the serving path product teams call to reach a model, and the evaluation that catches a regression before a customer does.
• Take over shared components that every team depends on, providing interfaces worth depending on, and clarify the seams between the legacy platform and the newer services.
• Enhance the messaging backbone; take the event bus the rest of the way, adding contract testing for service verification.

Senior Software Engineer, Platform

• 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

• 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

• Design, build, and operate the enterprise API and AI platform supporting multiple business domains (Finance, HR, Supply Chain)
• Own the API and AI gateway platform lifecycle, including account topology, RBAC, network architecture, governance, CI/CD automation, and disaster recovery
• Develop, deploy, and manage API proxies, shared flows, and gateway policies to enable secure and scalable API exposure
• Design and implement multi-cloud gateway architectures leveraging Apigee, AWS API Gateway, and Azure API Management
• Implement secure network connectivity, including Azure Private Link, private endpoints, Private DNS Zones, and network policy enforcement
• Develop and maintain Terraform modules to automate provisioning and lifecycle management of API gateway and platform resources
• Enable self-service platform consumption through validated YAML manifests and automated deployments via CI/CD pipelines (e.g., Shield CI/CD)
• Integrate platform and gateway capabilities with Entra ID (Azure AD) using SAML SSO, SCIM provisioning, and enterprise RBAC patterns
• Manage service authentication, secrets, and key rotation using HashiCorp Vault and Azure Key Vault
• Implement and enforce API security controls, including OAuth 2.0, JWT, API keys, mTLS, and threat protection policies
• Enforce security and compliance controls, including audit logging, policy-as-code, tagging, access controls, and governance standards
• Embed infrastructure and supply-chain security scanning into CI/CD pipelines.
• Design and implement GraphQL gateway architectures for backend orchestration and modern API consumption patterns
• Design for resiliency and cost efficiency, including resource optimization, capacity planning, cost allocation, and chargeback models
• Own cross-region disaster recovery strategies, replication design, and RPO/RTO adherence for platform services
• Implement observability and monitoring using tools such as Prometheus, Grafana, Splunk, Datadog, and AppDynamics
• Lead incident response, troubleshooting, and root cause analysis (RCA) for platform and gateway-related issues
• Govern secure data and API sharing patterns, ensuring proper access controls, auditing, and usage monitoring
• Partner with Cloud, IAM, Security, Networking, and FinOps teams to ensure alignment with enterprise architecture and regulatory requirements
• Provide technical leadership and mentorship to engineering teams and drive platform adoption and best practices

Lead Software Engineer – Platform

• Design, build, and improve the backend and full-stack systems that power HTS Assist, internal agent tools, and customer self-serve flows
• Develop scalable APIs, microservices, and orchestration logic supporting complex post-booking journeys across AI, chat, voice, and web
• Partner with Product, Design, AI, and Operations to deliver features that streamline customer experiences and improve agent efficiency
• Integrate with external systems — telephony, CRM, identity, booking platforms — to support internal use cases and partner deployments
• Own features end-to-end, from technical design through implementation, testing, deployment, monitoring, and iteration
• Contribute to architectural decisions, code reviews, and reliability improvements that raise the bar for the broader team
• Analyse system performance and user behaviour to identify opportunities for automation, optimisation, and cost reduction

Senior Software Engineer – Customer Experience Platform

• Audit existing analytics applications to understand their underlying technology choices, data flows, and integration points
• Design and implement integration patterns (APIs, event streams, shared data contracts) that allow siloed applications to interoperate without unnecessary rewrites
• Evaluate build vs. consolidate vs. federate tradeoffs for components across the platform, documenting your rationale and driving alignment
• Develop a deep understanding of existing data pipelines owned by distributed teams — including their data sources, transformation logic, and dependencies
• Design and build a unified presentation layer that surfaces data from heterogeneous compute environments — including large-scale distributed systems (e.g., Spark) and traditional relational databases — in a consistent, accessible way
• Deploy and manage platform services on cloud infrastructure (AWS preferred; Azure/GCP experience a plus)

Data Platform Engineer – Associate

• Design, build, and maintain the internal developer platform that enables our engineering organization to ship software reliably and at scale.
• Own the full platform lifecycle — from infrastructure provisioning and GitOps delivery pipelines to observability and developer experience — working across our multi-cloud environments.
• Design, provision, and maintain cloud infrastructure across Azure, AWS, and GCP using infrastructure-as-code tooling (e.g., Terraform, Pulumi, CloudFormation).
• Manage Terraform Cloud workspaces, module registries, and policy frameworks (Sentinel / OPA) to enforce governance at scale.
• Architect and operate Kubernetes clusters across multiple cloud providers, including node pool management, autoscaling, networking (CNI/service mesh), and storage.
• Define and manage cloud landing zones, account structures, networking baselines, and identity/access frameworks aligned to security standards.
• Operate and evolve GitOps delivery pipelines using Flux to manage cluster state, Helm releases, and environment promotions from a single source of truth in version control (e.g., GitHub).
• Build, maintain, and optimize CI/CD pipelines with pipeline-as-code tooling (e.g., Harness, GitHub Actions) covering build, test, security scanning, and deployment workflows.
• Champion GitOps best practices across engineering teams, providing templates, documentation, and enablement.
• Implement and maintain full-stack observability using platforms such as Dynatrace, including distributed tracing, infrastructure monitoring, log management, synthetic monitoring, and SLO/SLI tracking.
• Define alerting strategies, runbooks, and on-call escalation paths; drive incident response and post-incident reviews.
• Establish and track platform reliability metrics (availability, error rate, latency) and lead initiatives to close gaps.
• Build and maintain internal developer platform capabilities: self-service tooling, golden-path templates, shared libraries, and developer portals.
• Reduce cognitive load for application teams by abstracting infrastructure complexity behind opinionated, well-documented interfaces.
• Collaborate closely with security, networking, and application engineering teams to align on standards and integrate platform capabilities into the SDLC.
• Embed security controls into platform tooling: secrets management, image scanning, policy enforcement, RBAC, and audit logging.
• Support compliance requirements (SOC 2, PCI-DSS, etc.) through infrastructure controls, audit trails, and documentation.

• Design, build, and maintain the internal developer platform that enables our engineering organization to ship software reliably and at scale.
• Own the full platform lifecycle — from infrastructure provisioning and GitOps delivery pipelines to observability and developer experience — working across our multi-cloud environments.
• Manage Terraform Cloud workspaces, module registries, and policy frameworks (Sentinel / OPA) to enforce governance at scale.
• Architect and operate Kubernetes clusters across multiple cloud providers, including node pool management, autoscaling, networking (CNI/service mesh), and storage.
• Define and manage cloud landing zones, account structures, networking baselines, and identity/access frameworks aligned to security standards.
• Operate and evolve GitOps delivery pipelines using Flux to manage cluster state, Helm releases, and environment promotions from a single source of truth in version control (e.g., GitHub).
• Build, maintain, and optimize CI/CD pipelines with pipeline-as-code tooling (e.g., Harness, GitHub Actions) covering build, test, security scanning, and deployment workflows.
• Implement and maintain full-stack observability using platforms such as Dynatrace, including distributed tracing, infrastructure monitoring, log management, synthetic monitoring, and SLO/SLI tracking.
• Define alerting strategies, runbooks, and on-call escalation paths; drive incident response and post-incident reviews.
• Establish and track platform reliability metrics (availability, error rate, latency) and lead initiatives to close gaps.
• Build and maintain internal developer platform capabilities: self-service tooling, golden-path templates, shared libraries, and developer portals.
• Reduce cognitive load for application teams by abstracting infrastructure complexity behind opinionated, well-documented interfaces.
• Collaborate closely with security, networking, and application engineering teams to align on standards and integrate platform capabilities into the SDLC.
• Embed security controls into platform tooling: secrets management, image scanning, policy enforcement, RBAC, and audit logging. Support compliance requirements (SOC 2, PCI-DSS, etc.) through infrastructure controls, audit trails, and documentation.

• solves complex problems
• takes a new perspective on existing solutions
• exercises judgment based on the analysis of multiple sources of information
• impacts a range of customer, operational, project or service activities within own team and other related teams
• works within broad guidelines and policies

Data Platform Engineer

• Lead and develop a high-performing engineering team, cultivating a supportive environment grounded in continuous improvement, psychological safety, and accountability
• Define performance metrics (KPIs), perform regular reviews, and champion the professional development and career progression of all team members
• Oversee the development, operation, and modernization of high-volume transaction processing applications, specifically those critical to the 24x7 HPE NonStop payment switching infrastructure
• Spearhead the migration of highly resilient, on-premises HPE NonStop switching and authorization systems to a cloud-native, low-latency microservices architecture on AWS
• Maintain deep technical engagement: set robust engineering standards, deliver high-quality design and code critiques, and occasionally contribute code to resolve complex, strategic challenges
• Collaborate strategically with Product Management, Cyber Security, and Enterprise Architecture teams to ensure the delivery of a secure and frictionless payment experience for millions of users

Senior Manager, Platform Engineering – Global Payment Network

• 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

Platform Engineer jobs in Illinois

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Staff Engineer – Platform Engineering

Manager, Product Management – Data Infrastructure

Senior Director, Autonomous Platform Engineering

Senior Software Engineer, Platform

Mid-Level AI Platform Engineer

D365 Platform Engineer

Staff Software Engineer – Platform

Software Engineering Director – Platform Engineering

Platform Engineer – Bare Metal

Product Manager, Platform Infrastructure – Compliance

Lead Software Engineer – Platform

Senior Software Engineer – Customer Experience Platform

Data Platform Engineer – Associate

Platform Engineer

Platform Engineer

Data Platform Engineer

Senior Manager, Platform Engineering – Global Payment Network

Head of AI Platform Engineering

Lead AI Platform Engineer

Senior AI Platform Engineer