platform engineer for enterprise AI infrastructure
ориентир по рынку
вакансия
зп не указана
в среднем
346 799 ₽
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описание
Barclays provides banking and financial services.
задачи
Design, deliver, and maintain enterprise AI infrastructure, including the AI Gateway, inference routing, guardrails, and observability
Drive execution across workstreams, set engineering standards, remove blockers, and coach engineers
Design, develop, and improve software that provides business, platform, and technology capabilities for customers and colleagues
Deliver high-quality software solutions and ensure code is scalable, maintainable, and performance-optimized
Collaborate with product managers, designers, and engineers to define software requirements, devise solutions, and align integrations with business objectives
Participate in code reviews and promote code quality and knowledge sharing
Keep up with technology trends and contribute to technology communities
Apply secure coding practices and implement effective unit testing
Contribute to or set strategy, drive requirements, and recommend changes
Plan resources, budgets, and policies; manage and maintain policies and processes; deliver continuous improvements; escalate policy and procedure breaches
Guide technical direction and lead collaborative, multi-year assignments
Guide team members through structured assignments and identify when additional areas of specialisation are needed
Train, guide, and coach less experienced specialists
Advise key stakeholders and senior management on functional and cross-functional impact and alignment
Assess and mitigate risks in support of control and governance objectives
Demonstrate accountability for managing risk and strengthening controls
Apply understanding of organisational functions to support business goals
Collaborate across business-aligned support areas to stay informed about business activity and strategy
Develop solutions through sophisticated analysis, compare complex alternatives, define problems, and identify innovative solutions
Apply research findings to problem-solving processes
Build and maintain stakeholder relationships and partnerships, using influencing and negotiating skills to achieve business objectives
Demonstrate the Barclays Values and Mindset
требования
Expert in Python (FastAPI/async), Go, or Java for high-throughput, low-latency production systems
Deep knowledge of AWS, EKS, Envoy, Bedrock, IAM, Aurora, CloudFormation, GPU scheduling, multi-tenancy, and service mesh (Istio)
Experience with enterprise-scale platform and infrastructure architecture, distributed systems, active-active, and failover patterns
Experience with GenAI/Agentic AI, LangGraph/LangChain or Google ADK, MCP/A2A protocols, prompt engineering, RAG, and vLLM serving
Demonstrate risk and controls expertise, change and transformation capabilities, business acumen, strategic thinking, and digital and technology skills
Demonstrate comprehensive understanding of organisational functions and the ability to advise senior stakeholders
Будет плюсом: AI safety and guardrails, prompt injection detection, PII redaction, content filtering, NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, Envoy Proxy (xDS API, WASM filters, AI Gateway extensions), financial services, regulatory requirements, data residency, compliance