Technical Lead – Message Security Detection

Jobtailor; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Jobtailor in Bengaluru seeks an experienced backend leader to architect and scale high-throughput systems, focusing on reliability and low latency. You will own data pipelines with Spark and Airflow, mentor engineers, and drive cloud-ready backend services across AWS/EKS/GCP/Azure.

Strong hands-on Python or Golang, plus system design and performance tuning, are essential to collaborate with product, data science, TPMs, and security researchers.

Qualifications

• 8+ years of production backend experience with Python or Golang.
• Expertise building distributed data pipelines with Spark and Airflow.
• Hands-on experience managing and scaling cloud-native apps on AWS, GCP, or Azure with container orchestration (EKS).
• Experience leading technical projects and mentoring engineers.
• Strong system design skills and ability to tackle high throughput/latency challenges.

Responsibilities

• Architect & Scale: Design and maintain high-throughput detection systems and backend services, ensuring low latency and high reliability.
• Data Orchestration: Lead 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 development lifecycle and automate 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.

Skills

Backend development

Python

Golang

System design

Performance debugging

Education

BS in Computer Science

Tools

Spark

Airflow

AWS

EKS

GCP

Azure

Job description

Responsibilities

• 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.

Requirements

• 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.