Senior Software Engineer, Infrastructure

Theory Ventures; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Theory Ventures is looking for a passionate and experienced Senior Software Engineer, Infrastructure in New York City. The role involves designing and operating cloud infrastructure for a platform processing vast amounts of security telemetry. Candidates should have over 5 years of experience in infrastructure or DevOps, extensive knowledge in AWS, and strong skills in infrastructure-as-code. This hands-on position offers the opportunity to work closely with engineers and researchers, ensuring timely deployments and contributing to the company's growth and security efforts.

Qualifications

• 5+ years of infrastructure or DevOps/platform engineering experience in production cloud environments.
• Deep expertise in AWS; GCP or Azure experience is a plus.
• Extreme ownership mindset and personal responsibility for platform success.
• Strong infrastructure-as-code skills with Terraform or Pulumi.
• Hands-on experience with streaming data infrastructure at high throughput.
• Solid Linux systems knowledge including networking and storage.
• Experience with observability platforms like Prometheus and Grafana.
• Comfortable with IAM policies and network security controls.

Responsibilities

• Design and operate cloud infrastructure at scale for data ingestion and processing.
• Manage and evolve data pipeline infrastructure for real-time detection.
• Drive quality of infrastructure-as-code across the platform.
• Define and own SLOs and build observability stacks.
• Implement zero-trust networking and compliance controls.
• Support AI/ML and data teams for GPU workloads and data warehouses.
• Mentor engineers and contribute to technical roadmaps.
• Ensure timely deployment of features and infrastructure improvements.

Skills

Infrastructure or DevOps/platform engineering experience

Deep expertise in AWS

Infrastructure-as-code skills with Terraform or Pulumi

Hands-on experience with streaming data infrastructure

Solid Linux systems knowledge

Experience building and operating observability platforms

Security-minded approach

Tools

AWS

Kafka

Terraform

Pulumi

Prometheus

Grafana

Job description

Location

New York City

Employment Type

Full time

Location Type

On-site

Department

Engineering

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.

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.