Jobs · Engineering · New York

Senior Software Engineer

Artemis Security · New York, NY · 2 wk ago
On-siteEngineering$180k–$250k/yrFull-time

About the role

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 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, where 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.

Requirements

  • 6+ years of professional software engineering experience building and operating production systems.
  • Strong experience in backend development (e.g., Python, Go, or similar) and designing APIs and services.
  • Experience building or working with distributed systems, data pipelines, or large-scale platforms.
  • Familiarity with cloud infrastructure (AWS, GCP, or Azure) and modern deployment practices (containers, orchestration, CI/CD).
  • Ability to reason about performance, reliability, and scalability in real-world systems.
  • Product and customer mindset—you care why you’re building something, not just how.
  • Clear communicator who can collaborate across disciplines and mentor other engineers.

Skills

  • Bonus: Frontend experience with React / TypeScript.
  • Experience with data platforms (Kafka, ClickHouse, Snowflake, BigQuery, etc.).
  • Background in cybersecurity, observability, or large-scale analytics systems.

Benefits

  • Make a real-world impact—help empower cybersecurity teams around the world to keep people safe from the most advanced cyber threats.
  • Be challenged to be better than ever before—our team includes some of the smartest and most driven people in the world. We guarantee you will learn more in 1 year here than 10 years in another place.
  • Push the boundaries of technology—work with and build the most advanced AI capabilities in the world of cybersecurity, including cutting-edge analytics and agentic platforms. Your ideas will shape the product and the industry.
  • Innovative culture—we obsess about customers, move fast with high quality, and value open communication, mentorship, and learning. You will have autonomy to drive projects and support to grow.

Pay

We offer a competitive compensation of $180,000 - $250,000 per year, and a top-of-market equity component. A variety of factors are considered when determining the compensation, including a candidate’s professional experience.

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