Job OverviewArtemis 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.
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.
- Bonus:
- Frontend experience with React / TypeScript.
- Experience with data platforms (Kafka, ClickHouse, Snowflake, BigQuery, etc.).
- Background in cybersecurity, observability, or large-scale analytics systems.
CompensationWe 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. Final offer amounts may vary from the amounts listed.
If you are passionate about building resilient distributed systems and want to apply your expertise to defend against AI-powered adversaries, we'd love to hear from you.
