1 день назад
Platform Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineer (AI) (AWS/GCP, Kubernetes, Terraform, Kafka): Building and operating an internal developer platform, cloud infrastructure, identity services, event-driven architectures, and AI-powered engineering capabilities with an accent on platform reliability, developer experience, enterprise identity, and LLM integrations. Focus on designing RAG and agentic workflows, operating Kubernetes and Kafka platforms, implementing GitOps delivery, and establishing guardrails and observability for production AI systems.
Location: Plano, Texas, United States. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship is not available.
Company
is an omni-channel platform company providing technology-driven financial solutions through brands including Acima, Rent-A-Center, and Brigit.
What you will do
- Design, implement, and operate scalable, highly available, and secure platform services across AWS and GCP.
- Build the Internal Developer Platform with self-service capabilities, APIs, golden paths, service scaffolding, SDKs, CLIs, and developer portal experiences.
- Establish Terraform-based infrastructure automation, GitOps CI/CD, progressive delivery, observability, SLO management, and incident response practices.
- Design and operate enterprise identity services using platforms such as Keycloak and Entra ID, including authentication, authorization, federation, RBAC, and governance.
- Operate Kafka-based event-streaming platforms and define standards for schemas, resiliency, scalability, and event governance.
- Build AI-powered developer tooling, including RAG systems, agents, MCP integrations, engineering copilots, automation assistants, evaluation frameworks, guardrails, and production observability.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 6+ years of experience in Platform Engineering, DevOps, Site Reliability Engineering, or Software Engineering, including 2+ years building, deploying, or operating AI/LLM-powered solutions.
- Strong software engineering experience with production applications, APIs, services, or developer tooling; proficiency in Python, Go, or equivalent languages.
- Deep expertise in AWS and/or GCP, Kubernetes, cloud-native infrastructure, Terraform, CI/CD, and GitOps.
- Production experience with identity platforms such as Keycloak, Entra ID, or Auth0, and knowledge of OAuth2, OIDC, SAML, JWTs, and RBAC.
- Production experience with Kafka or enterprise event-streaming platforms, plus RAG, embeddings, vector databases, semantic search, AI agents, tool calling, MCP integrations, and AI governance.
Nice to have
- Experience productionizing governed agentic systems with permissions, auditability, rollback, failure handling, and human approval workflows.
- Experience integrating AI with GitHub, Jira, ServiceNow, Confluence, Backstage, and other enterprise engineering platforms.
- Familiarity with LangGraph, CrewAI, Semantic Kernel, OpenAI Agent Framework, or similar orchestration frameworks.
- Experience building Backstage-based developer portals, AI evaluation pipelines, benchmark datasets, and developer productivity metrics.
- Experience supporting regulated environments and security compliance frameworks.
Culture & Benefits
- Full medical, dental, and vision benefits.
- 401(k) match, health savings account with company contribution, and discretionary time off.
- College tuition reimbursement for STEM degrees and unlimited LinkedIn Learning.
- On-site gym and showers, free car charging, and covered parking.
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