Platform Engineer

• Own platform architecture, technical patterns, approaches, and guardrails
• Build production-ready proofs of concept
• Ensure technical documentation and runbooks exist, have repository owners, and remain maintained
• Anticipate cross-system change impacts and guide trade-off decisions
• Define technical standards and developer operational velocity practices
• Manage tooling, frameworks, automation, and AI guidance for safe, fast delivery
• Make build-versus-buy recommendations for platform tooling
• Own instrumentation and observability using Honeycomb and underlying platform layers
• Lead security, reliability, performance, maintainability, and scalability requirements
• Own cutover and deployment discipline for complex migrations, beginning with CRM decommissioning
• Own code review standards and provide technical mentorship to the Nepal team
• Ensure backend systems have at least two engineers able to maintain and extend them
• Provide technical feasibility, cost, and alternative assessments for product initiatives before commitment

Lead Engineer – Platform & Architecture

• Conduct structured production-readiness assessments of prototype applications
• Assess security posture, data model integrity, authentication and authorization flows, input validation, dependency hygiene, and test coverage
• Identify and document failure patterns in AI-generated code
• Produce prioritized remediation plans within architectural standards
• Refactor and harden AI-generated codebases across frontend frameworks, backend APIs, data modeling, and authentication systems
• Replace or rewrite AI-generated test suites against human-reviewed acceptance criteria
• Use AI-augmented development tools to accelerate remediation while identifying risks introduced by those tools
• Identify and remediate injection flaws, broken authentication, insecure direct object references, exposed secrets, and credentials
• Implement and validate secure authentication and authorization patterns
• Ensure applications meet CI/CD pipeline and version control standards before production deployment
• Document recurring AI code failure patterns and contribute to an internal knowledge base
• Feed pattern intelligence upstream to improve prototype quality
• Stay current on AI-assisted development tooling, emerging failure modes, and production-readiness best practices
• Partner with application teams, architects, and business stakeholders on readiness criteria and timelines
• Communicate technical findings to engineering and non-technical audiences
• Provide guidance on responsible use of AI development tools
• Report to the Sr. Director of AI & Cloud
• Collaborate with platform engineers, application developers, and security and compliance stakeholders
• Drive decisions, document work, and support an AI-forward engineering culture

AI Platform Engineer

• Support day-to-day backend integration work and policy platform use cases for the customer, delivering changes in Golang against MongoDB, Snowflake, and AWS-hosted services
• Implement assigned integrations and platform features from definition through delivery under the direction of the customer tech lead and the Staff Security Platform Engineer (IC5)
• Deliver work to the customer's technical standards, following the code review, testing, and deployment practices established by the customer's team
• Onboard rapidly and begin contributing to integration work early in the engagement
• Communicate progress, risks, and blockers promptly to the Staff engineer, the customer tech lead, and delivery stakeholders
• Work closely with the delivery team, the Staff Security Platform Engineer (IC5), and customer stakeholders from initial definition through final delivery

Senior Security Platform Engineer – IC4

• Support day-to-day backend integration work and policy platform use cases for the customer, delivering changes in Golang against MongoDB, Snowflake, and AWS-hosted services
• Own technical design for assigned integrations from definition through delivery, and document design decisions for the customer tech lead and delivery stakeholders
• Deliver work to the customer's technical standards, following the code review, testing, and deployment practices established by the customer's team
• Provide technical direction and code review for the Senior Security Platform Engineer (IC4) staffed on the same engagement
• Onboard rapidly and begin contributing to integration work early in the engagement
• Communicate progress, risks, and blockers promptly to the customer tech lead and delivery stakeholders

Staff Security Platform Engineer – IC5

• Build agent patterns, retrieval systems, and guardrails for AI assistants serving Alight participants
• Develop an MCP server providing a skills registry to AI coding agents in the IDE
• Create reusable LangGraph agent patterns for multi-agent orchestration, memory, tool-use safety, and guardrails
• Build an agent evaluation platform using DeepEval and Ragas with CI/CD quality gates
• Develop document ingestion and retrieval pipelines covering chunking, embedding, vector search, reranking, and citations
• Automate CI/CD and deployment of AI agents on AWS using ECS, Fargate, and Agent Core
• Build AI-enabled devcontainers with integrated tooling, validation, and testing
• Instrument production workloads with OpenTelemetry and create dashboards for LLM cost and token tracking
• Convert governance controls into pipeline checks and automatically collect evidence
• Implement semantic caching, rate limiting, and graceful degradation for agent workloads
• Create reference implementations, SDK and CLI tooling, documentation, and reusable infrastructure for other engineers

• Serve as the technical leader and subject matter expert for CCC's database platform strategy and roadmap
• Lead the design, implementation, and optimization of enterprise-scale database solutions across SQL Server and cloud-native database technologies
• Provide technical guidance, mentoring, and leadership to a team of database engineers and offshore resources
• Partner with Product Development, Architecture, SRE, and DevOps teams to design highly available and scalable database solutions
• Drive automation initiatives for deployment, monitoring, performance tuning, database provisioning, and operational support
• Champion AI and intelligent automation to increase team productivity and reduce manual operational tasks
• Lead database upgrades, migrations, cloud transformations, and performance optimization initiatives
• Establish best practices for database administration, operational excellence, security, compliance, and resiliency
• Collaborate with vendors and technology partners to evaluate solutions and support strategic platform decisions
• Participate in incident management, root cause analysis, problem management, and service restoration activities
• Develop and maintain operational documentation, architecture standards, support procedures, and disaster recovery plans
• Identify opportunities to reduce platform complexity, improve reliability, and increase operational agility
• Balance strategic initiatives, platform engineering, and operational excellence to ensure continuous delivery of database services
• Participate in a 24x7 operational support model, including incident response, change management, and disaster recovery planning

Platform Engineer jobs in Illinois

Lead Engineer – Platform & Architecture

AI Platform Engineer

Senior Security Platform Engineer – IC4

Staff Security Platform Engineer – IC5

AI Platform Engineer

Lead Database Platform Engineer