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Artemis

Senior Software Engineer

New York CityOnsite · United States
Senior · FullTime · Engineering
POSTED 11 OCT
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Role
31 days opentrue age
Posted 11 Oct
Pay
$170k–$220kno pay posted
Market p25–p75
$170k–$220k
New York · n=350 · 365d to 11 Nov
CompanyArtemis →
23open roles
Opened · 30d
+1
Closed · 30d
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Market
17,123open · Senior Software engineering
Opened · 7d
+1,2477% of open
All software engineering
75,370open
All tracked boards · live 12 Nov · n=17,123
AWSDistributed systems

Artemis is building the future of AI-driven cybersecurity, helping companies defend themselves effectively in an era where AI is fighting AI on the cyber battlefield.

Our platform brings a new approach to the $100B security operations market, building a live model of each customer's environment and using AI agents to detect, investigate, hunt, and respond to threats at machine speed. Just one year after our founding, Artemis is one of the fastest-growing cybersecurity companies of all time, with customers including multiple Fortune 500 companies, Global 2000 enterprises, and AI innovators like Cursor.

We have raised $70M from Felicis, First Round Capital, Theory Ventures, Two Sigma Ventures, Lockstep VC and Brightmind. We are also backed by some of the most prominent operators in cybersecurity, including the CEO of Crowdstrike, the former CEO and CTO of Splunk, and the founders of Abnormal AI and Demisto.

Artemis's founders have built and scaled security products used by tens of thousands of customers. Shachar Hirshberg (CEO) led Amazon GuardDuty, the world's largest cloud detection product, was an early employee at Demisto, the company that invented the SOAR category, was an engineering leader at Palo Alto Networks, and holds an MBA from Harvard. Dan Shiebler (CTO) led all AI and machine learning at Abnormal AI, the pioneer of behavior-based detection, spent five years building analytics using machine learning and vector databases at Twitter, and holds a PhD in machine learning from Oxford.

Our team of software engineers, AI researchers, security engineers, and product designers comes from Google, Meta, AWS, Wiz, CrowdStrike, SentinelOne, Abnormal AI, Perplexity, Bridgewater, Mercor, CERN, and more.

We're growing fast and looking for builders who want to help us serve our rapidly expanding customer base.

Job Overview

Artemis ingests and analyzes exabytes of streaming data from cloud platforms, identity providers, network logs, and more. We’re building a new, large-scale data platform from the ground up - and we’re looking for exceptional Software Engineers to help shape and build it. You’ll work alongside engineers who architected some of the world’s biggest distributed systems.

This is a high-impact role with significant ownership. You’ll work across critical parts of the system - from customer-facing experiences to large-scale data and analytics infrastructure - depending on your strengths and the problems at hand.

You will help define architecture, make key technical decisions, and drive projects from concept through production. This role is for engineers who are comfortable operating in ambiguity, care deeply about quality, and want to build systems that matter.

Responsibilities

Own and deliver major product and platform initiatives - Design, build, and ship end-to-end features and systems that power Artemis’ detection, analytics, and customer experience.

Build and scale distributed systems - Work on services and pipelines that ingest, process, and analyze massive volumes of security telemetry with high reliability and performance.

Contribute across the stack - Depending on the problem, this may include backend services, APIs, data infrastructure, or user-facing applications. You’re not boxed into a single layer.

Make architectural decisions - Evaluate trade-offs, influence technical direction, and help ensure the system remains scalable, secure, and maintainable as we grow.

Bring strong engineering judgment - Balance speed and quality, know when to iterate and when to invest, and raise the bar for code, design, and operational excellence.

Collaborate deeply - Work closely with product, design, security, and AI/ML teams to turn complex problems into usable, reliable solutions.

Leverage AI-native development practices - We actively use AI tools to increase velocity and quality. You’ll be expected to embrace and evolve how we build software in an AI-first environment.

Qualifications

6+ years of professional software engineering experience building and operating production systems.

Source · ArtemisFirst seen 2 NovOriginal ↗