обновлено 7 дней назад
Platform Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineer (AI/AWS): Building secure and scalable cloud-native integrations between AI agents, enterprise services, and cloud infrastructure with an accent on API integration, operational controls, and platform reliability. Focus on implementing AWS security and governance mechanisms, developing Python services, and measuring performance across authorization and policy evaluation workflows.
Location: Armenia, Bulgaria, Cyprus, Georgia, Kazakhstan, Latvia, Poland, Romania, Serbia, or Ukraine
Company
is a software engineering company delivering data, analytics, and AI solutions for clients across multiple industries.
What you will do
- Develop and maintain cloud-native integrations between AI platforms, enterprise services, and cloud infrastructure.
- Build REST API integrations and service communication layers using AWS AgentCore Gateway and related services.
- Develop Python-based services, utilities, and integration components.
- Implement operational controls such as throttling, quota management, circuit breakers, and kill switches.
- Integrate IAM, STS, audit logging, observability, monitoring, and operational reporting capabilities.
- Analyze performance and latency, participate in architecture reviews, troubleshoot platform issues, and document operational practices.
Requirements
- 3+ years of experience in platform engineering, backend engineering, or a related field.
- Experience building cloud-native API integrations and working with cloud infrastructure.
- Hands-on experience with AWS IAM, STS, and CloudTrail.
- Strong knowledge of REST APIs, distributed systems integration, and Python development.
- Understanding of JSON-RPC 2.0, Server-Sent Events, or similar communication protocols.
- Knowledge of reliability patterns such as throttling, quota enforcement, and circuit breakers, plus strong troubleshooting and communication skills.
Nice to have
- Experience with AWS AgentCore Gateway policy enforcement, MCP architectures, or agent gateway implementation patterns.
- Experience with k6 or Locust for performance and load testing.
- Experience designing Human in the Loop workflows and integrating enterprise AI governance capabilities.
- Knowledge of observability, operational monitoring, and audit reporting solutions.
Culture & Benefits
- Work in a cross-functional team of platform engineers, backend developers, cloud specialists, security engineers, and architects.
- Flexible work formats and secure access with company-provided equipment or a BYOD option.
- Vacation, sick pay, state-holiday time off, and health insurance according to regional conditions.
- Coverage for IT certification costs and access to courses, learning platforms, mentoring, and professional development programs.
- Mental health support, corporate events, and a collaborative environment focused on automation, reliability, and operational excellence.
Hiring process
- CV review followed by an HR interview.
- Communication and technical assessments covering English and relevant technologies.
- Project-team discussion and possible client interview preparation.
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