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Salary
≈ $31k – $69k per year (Estimated)
Location
In office (Thiruvananthapuram)
Seniority
Staff · 7+ years exp

First seen by Alion on Aug 4, 2026.

Overview
Company
Impact
Profile match

UST

Summary:

A hands-on Engineer to lead the design and development of advanced device identification capabilities for Customer's fraud detection platform.

This role focuses on building scalable backend systems that process device and browser signals to accurately identify devices in environments where traditional identifiers such as cookies are no longer reliable.

The ideal candidate is a senior technical leader with strong problem-solving skills, a builder mindset, and the ability to design and develop complex systems from the ground up in a fast-paced, highly technical environment.

Key Responsibilities:

- Design, build, and enhance device identification capabilities for fraud detection systems.

- Develop scalable backend services to collect, process, and analyze device and browser signals.

- Build and optimize device identity and matching logic to accurately recognize devices across sessions.

- Design cloud-native solutions and services leveraging Azure.

- Solve complex device recognition and identity resolution challenges.

- Collaborate with Product, Architecture, and Engineering teams to deliver robust and scalable solutions.

Required Skills & Experience:

- Extensive experience in Java-based backend development and distributed systems.

- Strong expertise in designing and building scalable, cloud-native applications on Azure.

- Experience developing systems from scratch and solving complex technical problems.

- Deep understanding of device signals, browser technologies, and device identification concepts.

- Knowledge of modern web and mobile ecosystems, including the limitations of cookie-based identification.

- Strong engineering fundamentals, system design, and architecture skills.

- Ability to thrive in a fast-paced, highly collaborative environment.

Preferred Experience:

- Experience in fraud detection, risk management, digital identity, or cybersecurity platforms.

- Exposure to large-scale data processing, event-driven architectures, and real-time systems.

Required Skills:

- 7+ years of experience in Java backend development with expertise in building large-scale distributed systems.

- Strong hands-on experience designing and developing cloud-native applications on Microsoft Azure.

- Proficiency with Terraform for Infrastructure as Code (IaC) and cloud infrastructure automation.

- Extensive experience designing and developing scalable, high-performance backend services and microservices.

- Strong understanding of distributed systems, system architecture, scalability, resiliency, and performance optimization.

- Experience building complex applications from the ground up with strong problem-solving and debugging skills.

- Deep understanding of device fingerprinting, device identification, browser technologies, and device intelligence concepts.

- Knowledge of modern web technologies, HTTP protocols, browser security, and the evolving limitations of cookie-based tracking.

- Experience developing real-time, event-driven, or high-throughput systems.

- Strong knowledge of REST APIs, multithreading, concurrency, and asynchronous programming in Java.

- Excellent analytical, troubleshooting, and solution design skills.

- Strong communication and collaboration skills with the ability to work effectively across Product, Architecture, and Engineering teams.

- Self-driven with the ability to thrive in a fast-paced, agile development environment.

Desired Skills:

- Experience in fraud detection, fraud prevention, risk management, digital identity, or cybersecurity platforms.

- Experience with device identity resolution, fraud analytics, or behavioral intelligence solutions.

- Exposure to large-scale data processing, streaming technologies, and event-driven architectures.

- Experience with observability, monitoring, and performance tuning of cloud-native applications.

- Familiarity with secure software development practices and modern authentication/authorization mechanisms.

Qualification:

- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.

Skills

Java, Spring, Spring Boot, Distributed Systems, System Design, Azure, Cloud

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