DataArt

remote • ARM • senior • Не указана

# Senior Platform Engineer with AWS AgentCore Gateway ArmeniaBulgariaCyprusGeorgiaKazakhstanLatviaPolandRomaniaSerbiaUkraine ## Technology stack AWS AgentCore Gateway, AWS AgentCore SDK, AWS AgentCore Runtime, Python, OAuth 2.0, AWS Signature Version 4 (SigV4), REST APIs, Agent to Agent Protocol (A2A), JSON RPC 2.0, Agent Discovery Services, Enterprise Authentication Systems, LangGraph, CrewAI, Cloud Native Architecture, Performance Testing Frameworks, Security Testing Tools ## Project overview The project focuses on building a secure agent communication and orchestration platform that enables discovery, routing, governance, and enforcement across distributed AI agents and enterprise services. The platform supports large scale agent interactions, operational controls, observability, and secure communication patterns to ensure reliability, scalability, and compliance. ## Team Medium team (10-20 people) You will work within a collaborative team of platform engineers, backend developers, cloud architects, security specialists, and AI platform engineers. The team follows modern engineering practices with a strong focus on scalability, security, automation, and operational excellence. ## Position overview We are looking for a Senior Platform Engineer with strong experience in cloud native platforms, distributed systems, and agent based architectures. In this role, you will design, implement, and operate secure and scalable agent communication infrastructure, helping to build enterprise grade routing, discovery, and governance capabilities for multi agent environments. ## Responsibilities - Develop and maintain agent communication and routing services using AWS AgentCore Gateway and Python - Design and implement agent discovery, registration, routing, and enforcement mechanisms - Build scalable agent to agent communication workflows based on A2A protocol standards - Design secure authentication and authorization mechanisms using OAuth 2.0 and SigV4 - Develop and maintain gateway deployment topologies for single tenant and multi tenant environments - Collaborate with platform and security teams to implement governance and access control requirements - Design operational controls including routing policies, traffic management, and enforcement mechanisms - Perform performance testing, load analysis, and capacity planning for gateway workloads - Conduct security assessments and implement best practices for agent communication channels - Support production environments through monitoring, troubleshooting, and continuous improvement initiatives - Contribute to architectural decisions, technical documentation, and engineering standards ## Requirements - 5+ years of experience in platform engineering, backend engineering, or a related field - Hands on production experience with an agent to agent or agent to tool gateway platform, including AWS AgentCore Gateway or comparable routing and discovery solutions such as MCP gateways, agent mesh platforms, or agent proxy architectures - Experience implementing and operating production multi agent systems with agent to agent communication capabilities - Strong knowledge of OAuth 2.0 and identity based routing for machine to machine or agent to agent traffic - Experience building cloud native API platforms and distributed systems - Strong Python development experience for backend services and platform integrations - Understanding of A2A protocol concepts, including agent discovery, invocation lifecycle management, and trust models - Experience designing and operating secure, scalable, and highly available platform services - Knowledge of performance optimization, reliability engineering, and operational best practices - Strong communication and collaboration skills ## Nice to have - Hands on experience with AWS AgentCore Gateway A2A enforcement models - Experience with AWS AgentCore Runtime multi agent invocation patterns - Experience defining enterprise standards and governance frameworks for agent to agent communication - Knowledge of LangGraph or CrewAI multi agent orchestration frameworks - Experience with platform observability, monitoring, and operational analytics - Understanding of AI platform governance, security controls, and compliance requirements ## FAQ for Candidates Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us. ### What does DataArt do, and which industries does it serve? DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing. Learn more about what we do [here](https://www.dataart.com/company/about-us). ### What's the work-life balance like at DataArt? Does DataArt offer remote work options? DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world. Learn more about how we work [here](https://www.dataart.team/career/workplace-options). ### What is DataArt's company culture like? At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all. [Read more about our culture and values](https://www.dataart.team/career/culture). ### What is the typical career path at DataArt? There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career. Learn how we support both [newcomers starting their careers](https://www.dataart.team/start-career) and experienced [professionals looking to grow further](https://www.dataart.team/advance-career). ### What can I expect in terms of compensation and benefits at DataArt? DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options. [Read more about how things work at DataArt](https://www.dataart.team/career/culture). ### How does DataArt approach employee retention and turnover? At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around. Learn more about our company >[here](https://www.dataart.team/). ### What is the interview process like, and how can I prepare? Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews. Read more and get tips for each stage [here](https://www.dataart.team/career/how-to-get-in). ### What skills and experience does DataArt look for in candidates? DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment. [Read more about development in DataArt.](https://www.dataart.team/start-career) ### How does DataArt support learning and professional development? At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one. [Explore how we support your growth.](https://www.dataart.team/start-career)