Senior Software Engineer (Tech Lead) Message Security Detection

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

What you will do

Architect & Scale: Design and maintain high-throughput detection systems and backend services ensuring low latency and high reliability.
Data Orchestration: Lead the development of robust data pipelines using Spark and Airflow to supply detection teams with high-fidelity data for ML model training and evaluation.
Technical Leadership: Partner with Engineering Managers to define technical roadmaps mentor junior/mid-level engineers and drive best practices in code quality and system design.
AI-Driven Innovation: Lead the team in adopting AI productivity initiatives leveraging tools like Claude OpenAI and GitHub Copilot to accelerate the development lifecycle and automate internal workflows.
Cross-functional Collaboration: Work closely with TPMs Product Managers Data Scientists and Security Researchers to translate complex business needs into scalable technical solutions.
Operational Excellence: Manage and optimize cloud-native infrastructure on AWS/EKS ensuring systems are cost-effective secure and performant.

Must Haves

8 years of professional experience: Proven track record in production-level backend development with Python or Golang.
Data Engineering Expertise: Expert-level proficiency in building and optimizing distributed data pipelines using Spark and Airflow (or equivalent orchestration tools).
Cloud & Infrastructure: Extensive experience managing and scaling cloud-native applications on AWS (highly preferred) GCP or Azure with a proven track record of hands-on container orchestration using EKS.
Leadership & Mentorship: Experience leading technical projects mentoring engineers and contributing to the long-term technical strategy of a team.
System Design: Strong ability to design complex integrations and handle significant throughput/latency challenges.
Problem Solving: A methodical approach to performance debugging benchmarking and resolving bottlenecks in large-scale systems.
Database Proficiency: Strong experience with Postgres or similar relational databases at scale.
Education: BS in Computer Science Applied Sciences or a related engineering field.

Nice to Haves

Frontend Literacy: Familiarity with React and TypeScript to assist with internal tool visualizations.
Data Ecosystems: Experience with Databricks Snowflake or similar data lakehouse architectures.
Cybersecurity Domain: Background in threat detection network security or fraud prevention.
Advanced Degrees: MS in Computer Science or Electrical Engineering.

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Required Experience:

Staff IC

What you will doArchitect & Scale: Design and maintain high-throughput detection systems and backend services ensuring low latency and high reliability.Data Orchestration: Lead the development of robust data pipelines using Spark and Airflow to supply detection teams with high-fidelity data for ML m...