Senior Software Engineer, Sign3

Cedar Management Consulting

Gurugram District

On-site

INR 1,900,000 - 3,200,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Equity

Job summary

Sign3 is seeking a Senior Software Engineer to design and build scalable, low-latency backend systems for fraud detection and customer intelligence. You will own significant parts of the architecture, drive technical decisions, and mentor engineers in a fast-paced, high-ownership team.

You will work on real-time risk analysis, large-scale data processing, and intelligent decisioning, collaborating across services and platforms to deliver reliable, scalable backend solutions.

Qualifications

  • 4 to 7 years of backend software development experience.
  • Strong expertise in Java or Python and system design.
  • Deep understanding of concurrency, performance tuning, and fault-tolerant architectures.
  • Hands-on experience with REST APIs, event-driven systems, and microservices.
  • Working knowledge of relational and NoSQL databases such as PostgreSQL, MongoDB, Redis.
  • Experience with messaging and streaming systems like Kafka or RabbitMQ.
  • Familiarity with AWS or GCP and containerized deployments.
  • Exposure to fraud detection, risk engines, or behavioral analytics platforms is a plus.

Responsibilities

  • Design and build distributed backend systems that handle millions of events per day with millisecond latency.
  • Architect services for device intelligence, behavioral analytics, and real-time risk scoring.
  • Drive system design discussions and set technical direction across services.
  • Optimize for scalability, reliability, observability, and cost efficiency.
  • Build robust pipelines for ingesting, processing, and analyzing risk and behavioral data.
  • Improve platform resiliency through better monitoring, alerting, and incident response.
  • Mentor engineers and contribute to engineering standards and best practices.

Skills

Java
Python
System design
Distributed systems
Concurrency
REST APIs
Event-driven
Microservices
PostgreSQL
MongoDB
Redis
Kafka
RabbitMQ
AWS
GCP
Docker
Kubernetes

Tools

Kafka
RabbitMQ
PostgreSQL
MongoDB
Redis
AWS
GCP
Docker
Kubernetes

Job description

Sign3 is an AI-first customer intelligence platform powering fraud prevention, risk scoring, and smarter onboarding decisions for leading FinTech s, banks, and digital businesses. Our flagship SDK and APIs analyze device, behavioral, and digital footprint signals to help clients detect synthetic identities, money mule accounts, and other fraud vectors—in real time. We work with top-tier players across credit cards, lending, gaming, and neo-banking, helping them unlock trusted growth at scale. Our systems process millions of risk events per day, with millisecond-level performance and precision. At Sign3, you’ll get to build in a fast-paced, impact-focused environment alongside a lean, high-ownership team.

The Role

We are looking for a Senior Software Engineer to design and build the scalable, low-latency backend systems that power Sign3’s fraud detection and customer intelligence platform. You will own significant parts of our architecture, drive technical decisions, and mentor engineers while solving real problems in real-time risk analysis, large-scale data processing, and intelligent decisioning.

What You’ll Do
  • Design and build distributed backend systems that handle millions of events per day with millisecond latency
  • Architect services for device intelligence, behavioral analytics, and real-time risk scoring
  • Drive system design discussions and set technical direction across services
  • Optimize for scalability, reliability, observability, and cost efficiency
  • Build robust pipelines for ingesting, processing, and analyzing risk and behavioral data
  • Improve platform resiliency through better monitoring, alerting, and incident response
  • Mentor engineers and contribute to engineering standards and best practices
What We’re Looking For
  • 4 to 7 years of experience in backend software development
  • Strong expertise in Java or Python, system design, and distributed systems
  • Deep understanding of concurrency, performance tuning, and fault‑tolerant architectures
  • Hands‑on experience with REST APIs, event‑driven systems, and microservices
  • Working knowledge of relational and NoSQL databases such as PostgreSQL, MongoDB, Redis, or
  • Experience with messaging and streaming systems like Kafka or RabbitMQ
  • Familiarity with AWS or GCP and containerized deployments
  • Exposure to fraud detection, risk engines, or behavioral analytics platforms is a plus
What We Offer
  • Competitive compensation and meaningful equity
  • High‑ownership role in a fast‑growing AI startup
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