About Us

HighRadius provides a single Agentic AI platform for the Office of the CFO. It integrates 180+ agents that orchestrate end-to-end processes across Order-to-Cash, Close & Reconciliation, Consolidation & Reporting, Accounts Payable, B2B Payments, and Treasury. HighRadius guarantees operational KPI improvements by mapping them to specific agents on the platform. With a 3-6 month go-live period, HighRadius drives value creation at 1300+ enterprises such as 3M, Unilever, Bristol-Myers Squibb Company, Red Bull, Lufthansa, and more. HighRadius has been consistently recognized as a market leader by Gartner, IDC, and Forrester.

About the Role

We are seeking a highly skilled Senior Software Development Engineer (SDE-IV) with deep expertise in Java to design and build scalable, high-performance systems. This role requires strong technical leadership, problem-solving skills, and the ability to influence architecture and best practices across teams.

Key Responsibilities

Good to have

System Design:
Create HLD and LLD for complex, distributed systems.
Define architecture patterns, data flow, and integration points.
Development:
Write clean, efficient, and maintainable code in Java, Python, or similar languages.
Implement microservices and APIs with best practices.
Performance & Scalability:
Optimize systems for high availability and low latency.
Collaboration:
Work closely with Product Managers, Architects, and QA teams.
Mentor and guide junior engineers on design and coding standards.
Code Reviews & Quality:
Ensure adherence to coding guidelines and design principles.

Required Skills

Experience: 7+ years
Strong experience in HLD and LLD for large-scale systems.
Proficiency in Java, Python, or C++.
Expertise in Data Structures, Algorithms, and Design Patterns.
Hands-on experience with Microservices Architecture, RESTful APIs, and Cloud Platforms (AWS/Azure/GCP).
Knowledge of Databases (SQL/NoSQL) and Caching Mechanisms.
Excellent problem-solving and analytical skills.

Preferred Qualifications

Experience with Distributed Systems, Event-Driven Architecture, and Messaging Queues.
Exposure to CI/CD pipelines, Docker, and Kubernetes.
Strong communication and leadership skills.

Education

Bachelor’s or Master’s degree in Computer Science or related field.