Principal Engineer
About this job
Payoneer is a global financial platform operating in over 190 countries, dedicated to removing friction from cross-border business and connecting underserved enterprises to the world economy. As a Principal Engineer for backend development based in Gurugram, India, you will serve as a high-impact individual contributor providing technical leadership across the backend organization. Your focus will be shaping the future of distributed financial systems that manage complex global financial workflows. A normal day involves defining architectural vision, designing scalable backend platforms, collaborating with distributed cross-functional teams, mentoring senior engineers and tech leads, and driving an AI-first engineering culture. You will tackle intricate cross-domain technical challenges, establish engineering standards, and explore cutting-edge technologies like agentic workflows and the Model Context Protocol to enhance system reliability and developer productivity.
Responsibilities
- Define and drive technical and architectural vision for large-scale backend systems and distributed platforms.
- Design and build secure, resilient, fault-tolerant distributed systems supporting global financial infrastructure.
- Champion an AI-first software engineering approach utilizing LLMs, AI agents, and intelligent developer tooling.
- Mentor and coach engineering leads, senior engineers, and architects to raise the overall technical bar.
- Partner with engineering, product, security, and infrastructure teams to solve complex cross-domain problems.
- Establish engineering patterns, standards, and best practices across multiple teams without direct authority.
- Explore and prototype emerging technologies such as MCP and agent-based architectures for business value.
Requirements
- Extensive experience designing and building large-scale distributed systems and backend platforms.
- Strong expertise in backend engineering, system architecture, APIs, microservices, and cloud-native architectures.
- Deep understanding of distributed systems concepts like consistency, availability, and fault tolerance.
- Proven experience leading architecture and technical strategy across multiple engineering teams.
- Strong track record of translating ambiguous, complex problems into scalable technical solutions.
- Experience operating systems at significant scale with high availability, security, and reliability requirements.
- Strong understanding of cloud infrastructure, observability, and modern software engineering practices.
Good to have
- Familiarity with AI agents, MCP, tool calling, and agentic workflows.
- Experience with AI/LLM technologies and building AI-first engineering systems.
- Demonstrated ability to mentor senior engineers and technical leaders.
- Strong product mindset balancing technical excellence with business outcomes.
Who should apply
This role suits experienced backend architects and technical leaders with a strong background in distributed systems who enjoy influencing technology direction across an entire organization. Candidates should have a demonstrated history of solving complex architectural challenges at scale, strong mentorship capabilities, and a keen interest in AI-first engineering workflows. The posting does not mention whether freshers can apply; extensive professional experience is implied.
Frequently asked questions
What is the role of a Principal Engineer at Payoneer?
The Principal Engineer provides technical leadership across Payoneer's backend engineering organization, shaping distributed financial systems and driving architectural vision.
Where is the Payoneer Principal Engineer position located?
The position is located in Gurugram, India.
What technologies are emphasized for the Payoneer backend role?
The role emphasizes distributed systems, cloud-native architectures, microservices, and an AI-first mindset including LLMs, AI agents, and the Model Context Protocol.
What kind of experience is required for this Payoneer role?
Extensive experience in designing and building large-scale distributed systems and leading technical strategy across multiple engineering teams is required.
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