Tech Lead – Application Infrastructure

About Payoneer

Founded in 2005 Payoneer is the global financial platform that removes friction from doing business across borders with a mission to connect the worlds underserved businesses to a rising global economy. Were a community with over 2500 colleagues all over the world working to serve customers and partners in over 190 countries and territories.

By taking the complexity out of the financial workflowsincluding everything from global payments and compliance to multi-currency and workforce management to providing working capital and business intelligencewe give businesses the tools they need to work efficiently worldwide and grow with confidence.

Role summary

As a Tech Lead on our Application Infrastructure team you will own the technical direction architecture and evolution of the core platform components that power Payoneers global financial services.

Youll work on highly available distributed systems that serve millions of customers across 190 markets partnering with engineering teams to deliver shared frameworks libraries and cloud-native services. This is a role for someone who genuinely loves technology is energized by AIs impact on how we build software and wants to shape the foundation that the rest of engineering builds on.

Location: Gurugram India Hybrid

What youll do

• Provide technical leadership and architectural direction for backend systems serving Payoneer scale scalability performance security reliability and cost.
• Lead by example in hands-on development own critical code paths tackle the hardest problems and set the standard for code quality on the team.
• Own technical design decisions for your domain lead design reviews author and review ADRs/RFCs and design data models and high-performance access layers across SQL and NoSQL stores with explicit attention to schema evolution query patterns and scale.
• Partner across Product Architecture Security SRE and DevOps to define APIs contracts and shared platform capabilities that other engineering teams depend on every day.
• Own backend reliability and performance outcomes define and uphold SLOs lead incident response on critical paths treat observability as a design property (golden signals structured logging tracing actionable alerts) and drive measurable improvements in latency error-budget burn and infrastructure cost.
• Champion a security-first and compliance-aware engineering posture PCI DSS PII handling multi-tenant isolation secrets management and secure-by-default patterns are non-negotiable.
• Set and uphold the organisations standards for AI-assisted development context engineering prompt and instruction patterns AI code review protocols and safe-use boundaries (what can be AI-generated what requires human design what must never leave our boundary and how AI-assisted changes are reviewed attributed and audited).
• Own and evolve the internal AI tooling playbook Cursor IDE Claude Code Codex CLI and the next wave including evaluation of emerging AI coding tools with adoption recommendations grounded in measured trade-offs across developer velocity code quality security posture cost and lock-in risk.
• Measure the impact of AI-augmented engineering establish baselines and track outcomes so adoption decisions are evidence-based not anecdotal.
• Raise the engineering bar across the team contribute to hiring and calibration and drive improvements in engineering processes tooling and quality standards (CI/CD testing strategy developer experience).

Who you are

• 10 years of professional backend software development experience with a track record of leading technical direction across complex distributed systems serving production scale.
• Demonstrated experience leading platform-building efforts end-to-end from design through production rollout.
• Track record of driving tooling process or technical-standard adoption at team or org scale with measurable productivity or quality outcomes.
• Strong proficiency in a strictly typed language here primarily C# .
• Hands-on experience with cloud infrastructure on AWS (preferred) or Azure including production use of Docker and Kubernetes.
• Proven experience with both SQL databases (SQL Server PostgreSQL MySQL) and NoSQL stores (MongoDB Redis DynamoDB or Cosmos DB) schema design query optimization and scaling.
• Solid grounding in distributed systems patterns microservices asynchronous messaging caching resiliency idempotency and REST/event-driven API design and comfortable owning reliability performance and cost outcomes.
• Hands-on experience building AI-based products or features integrating LLMs AI APIs or AI coding assistants into real software with genuine curiosity about applying AI to platform and infrastructure problems.
• Demonstrated fluency with modern AI coding tools (Cursor Claude Code Codex CLI Copilot or equivalents).
• Solid understanding of data structures algorithms and system design trade-offs; test-oriented approach to engineering.
• Decisive leader and strong communicator drives clarity makes informed decisions and produces crisp design docs RFCs and postmortems for both technical and non-technical audiences.
• Builders mindset and team player curious pragmatic transparent and invested in the growth of the engineers around you.

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