Software Engineer (Data Platform)

About Us

Act Security is an action-first cloud security platform built for the AI era.

For years, organizations have piled up access they never use. That debt was survivable when attacks moved at human speed. It isn't anymore. AI now finds and exploits access paths faster than any team can triage them, and AI agents are operating inside production systems with real autonomy to act. Access has become the attack surface, and chasing findings one at a time is a losing game.

Act systematically shrinks the access surface across your cloud, enforcing deterministic boundaries on what people, workloads, and AI agents can reach. We reason across identity, network, and AI access together - the three control planes that decide what anything can touch - and we enforce through the cloud-native controls you already own. No agents, nothing new to deploy, nothing taken offline. The result is a cloud that's structurally harder to attack and a security posture that holds between audits instead of quietly eroding.

We're early-stage, well-funded, and moving fast - built by repeat security operators who previously created Medigate (acquired by Claroty). If you want to build something that matters from the ground up and ship to production within days, this is the place.

Our Culture

We live by three values: Win, Learn, Have Fun. We play to win - we set ambitious goals and hold ourselves to high standards. We learn constantly - from customers, from each other, and from our mistakes. And we have fun doing it: we believe great work happens when people enjoy working together.

The Role

We are looking for a Software Engineer, Data Platform to join our team and take ownership of the data infrastructure that powers our cloud security platform. This role offers the opportunity to work on cutting-edge technology and make a significant impact in the field of cybersecurity.

What Will You Do

Design and build backend systems that process complex cloud infrastructure data at scale

Own the data layer end-to-end: storage architecture, partitioning strategies, query optimization, and incremental load patterns

Build and maintain ETL/ELT pipelines that deliver clean, modeled data to product features reliably and fast

Design ingestion pipelines that normalize data from AWS, Azure, and GCP into a consistent internal model — so adding a new cloud provider doesn't mean rebuilding the integration layer

Work closely with Product and Research to turn security insights into real, usable capabilities

Ensure data completeness through backfill management, historical data loading, and accurate aggregation layers

Leverage AI tools as part of your daily workflow — we build with AI, not just for AI

Improve our codebase, tooling, and engineering practices as we grow

What We're Looking For

5+ years of hands-on software development experience, with significant time on data-intensive systems

Strong Backend Skills (Node.js/TypeScript/Python/Golang Preferred)

Proven experience building data pipelines, ETLs, and data models in production at scale

Experience working with cloud platforms (AWS, Azure, or GCP) — ideally at the API and data ingestion level

Familiarity with cloud data platforms such as Redshift, BigQuery, or Snowflake

Solid understanding of system design, data structures, and performance tradeoffs

Experience working alongside or embedded with data teams - you understand how data engineers think and what they need

Strong sense of ownership, clear communication, and ability to move fast without cutting corners

Why Join Us

Real ownership - this is an early-stage company where engineers drive decisions

AI-native environment - you'll join an AI-native team. We help customers secure their AI workloads, build intelligent automation into our product, and use AI tools every day as part of how we build and ship.

Top-tier team - founders with deep security and product experience, surrounded by a team of experts and backed by leading investors

Competitive package - strong salary, meaningful equity, and the upside of joining early