Java Principal Engineer

Overview

We are building a next-generation embedded payments platform designed for real-time, high-throughput transaction processing
. The system currently processes 110 payments per second, with a target of 500 per second by the end of January. We’re seeking Principal Engineers who can drive architectural decisions, ensure system scalability, and lead complex engineering initiatives across distributed systems.

• Lead the design and architecture of distributed, fault-tolerant, and highly available systems.
• Optimize Java-based systems for concurrency, performance, and memory efficiency
  .
• Guide engineering teams in adopting best practices for system design, observability, and reliability
  .
• Drive improvements in real-time processing pipelines using event-driven technologies such as Kafka
  .
• Mentor staff-level engineers and provide technical leadership across the team.
• Collaborate with product owners and stakeholders to translate requirements into scalable solutions.
• Ensure system resilience through failover, degradation handling, and SLA adherence
  .

• Java 17 – Expert-level, with deep knowledge of multithreading, concurrency, and performance tuning.
• Spring Boot – Proven experience building enterprise-grade microservices.
• Kafka (or equivalent) – Strong experience with event-driven architecture and stream processing.
• AWS (ECS, RDS, Elasti Cache/Redis) – Hands-on deployment and optimization experience.
• Terraform – Ability to design infrastructure-as-code for production systems.
• SQL – Strong relational database design and performance optimization.
• Testing – Strong unit, integration, and end-to-end testing discipline.
• Observability
  
  – Experience with
  Open Telemetry, Grafana, Splunk or similar tools.

• Expertise in availability engineering and reliability frameworks.
• Experience creating monitoring dashboards and distributed tracing setups.
• Strong ability to drive system design independently with minimal guidance.

• Ability to lead cross-functional technical discussions and influence architectural decisions.
• Excellent communication skills with both technical and non-technical stakeholders.
• Strong mentoring and coaching abilities.
• Comfortable working in Kanban within a SAFe Agile environment.

Regards,

Gaganpreet Singh

Senior Talent Executive