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 skilled 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.

#LI-AB2

📌 Senior Software Engineer (Tech Lead) - Message Security Detection (India)
🏢 Important Business
📍 India