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Salary
$29k – $67k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 7+ years exp
Overview
Company
Impact
Profile match
Matters is an AI-native data security platform that protects sensitive data across cloud, SaaS, endpoint, and on-prem systems using semantic intelligence, behavioral context, and real-time enforcement.

We are looking for a Staff Software Engineer (SDE-4) to architect and build our Database Activity Monitoring (DAM) product from 0 to 1 You will own the core technical architecture across inline DAM for real-time monitoring and enforcement, network proxy/sidecar-based DAM, eBPF-based database activity monitoring, database protocol inspection and query telemetry, and real-time policy enforcement and threat detection. This is a high-ownership role where you will make foundational architecture decisions, build the first production systems, and help define the engineering direction of the DAM platform.

Responsibilities:

  • Architect and build a production-grade DAM platform from scratch.
  • Build high-performance inline proxies for database traffic inspection and enforcement.
  • Design network sidecars and transparent traffic interception mechanisms.
  • Build eBPF-based visibility across processes, sockets, and network activity.
  • Parse and analyze database protocols such as PostgreSQL, MySQL, MongoDB, SQL Server, and others.
  • Correlate queries with users, workloads, services, and application identities.
  • Design for extremely low latency, high throughput, fault tolerance, and graceful degradation.
  • Build for Kubernetes, cloud, hybrid, and enterprise environments.
  • Own architecture reviews, performance benchmarks, and engineering standards.
  • Mentor engineers and work directly with founders, product, and security research teams.

Requirements:

  • 7-11 years of strong software engineering experience.
  • Deep understanding of Linux internals, networking, processes, sockets, and TCP/IP.
  • Strong experience with Go, C++, Rust, C, or similar systems programming languages.
  • Experience building high-performance distributed or networked systems.
  • Strong understanding of concurrency, performance optimization, and production debugging.
  • Experience with Kubernetes and cloud infrastructure.
  • Ability to independently take ambiguous technical problems from architecture to production.
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