Senior Software Engineer, Infrastructure

Role Overview

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.

Responsibilities

• 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.

Qualifications

• 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.

Compensation

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. Final offer amounts may vary from the amounts listed.