Artemis is building the future of AI-driven defense - helping companies detect and defend themselves effectively in an era where AI is fighting AI on the cyber battlefield.
We’re backed by First Round Capital, Brightmind, and a group of the cybersecurity industry’s most prominent Operators.
Our founders, Shachar (ex-Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have previously built, launched, and scaled cybersecurity products loved and trusted by tens of thousands of customers, and have the customer, technology, and security know-hows to deliver this vision.
Our exceptionally strong team includes software engineers, AI researchers, security engineers, and product designers hailing from Google, Abnormal AI, Wiz, Meta, AWS, CERN, SentinelOne, and more.
We are growing our team and looking for passionate builders to join us and support our expanding customer base.
As an AI-first company and Senior Software Engineer, Infrastructure at Artemis, you'll own the backbone of a platform that processes exabytes of security telemetry in real time. You'll design and operate the systems that keep our ingestion pipelines, data stores, and AI workloads running reliably at scale — and you'll do it in an environment where the infrastructure decisions you make have a direct impact on how fast security teams can detect and respond to threats.
This is a hands-on, high-ownership role. You'll work closely with software engineers, AI/ML researchers, and security engineers to architect cloud infrastructure that is fast, resilient, cost-effective, and secure by design.
Design and operate cloud infrastructure at scale — Build and maintain highly available, fault-tolerant systems on AWS (and multi-cloud where relevant) that support petabyte-scale data ingestion, storage, and processing.
Own the data pipeline infrastructure — Manage and evolve the streaming and batch infrastructure (Kafka, Kinesis, Flink, or similar) that powers real-time detection and analytics.
Lead infrastructure-as-code practices — Drive adoption and quality of IaC (Terraform, Pulumi) across the platform, from network topology to compute and storage layers.
Harden production reliability — Define and own SLOs, build observability stacks (metrics, logs, traces), and lead incident response, blameless postmortems, and on-call rotations.
Drive security-first infrastructure — Implement zero-trust networking, secrets management, IAM best practices, and compliance controls befitting a cybersecurity company.
Partner with AI/ML and data teams — Support GPU workloads, model training pipelines, and large-scale data warehouses (Snowflake, ClickHouse, BigQuery) as first-class infrastructure citizens.
Scale with the team — Mentor engineers, contribute to technical roadmaps, and help define how infrastructure is built at Artemis as we grow rapidly.
Maintain a delivery-focused approach, ensuring efficient and timely deployment of high-impact features and infrastructure improvements.
5+ years of infrastructure or DevOps/platform engineering experience in production cloud environments at meaningful scale.
Deep expertise in AWS — GCP or Azure experience is a plus.
Extreme ownership mindset — you take personal responsibility for the success of the platform and the outcomes of your technical decisions.
Strong infrastructure-as-code skills with Terraform or Pulumi; experience managing large, multi-environment configurations.
Hands-on experience with streaming data infrastructure — Kafka, Kinesis, Flink, or equivalent at high throughput.
Solid Linux systems knowledge — networking (DNS, load balancing, firewalls), storage, performance tuning, and debugging production issues.
Experience building and operating observability platforms — Prometheus, Grafana, OpenTelemetry, Datadog, or similar.
Security-minded approach — comfortable implementing IAM policies, secrets management (Vault, AWS Secrets Manager), and network security controls.
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