Senior Software Engineer, Infrastructure
New York City, NYJob$180–250K/yrPosted 5mo agoStill listed today
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At a glance
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Job overview
Artemis is seeking a Senior Software Engineer, Infrastructure to build and operate the cloud systems behind its real-time security telemetry platform. The role owns ingestion pipelines, data stores, reliability, and security infrastructure at scale, while partnering with software, AI/ML, and security teams. It also contributes to infrastructure roadmaps and mentors engineers as the company grows.
Skills & qualifications
Skills
Qualifications
Full job description
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
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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.
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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.
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Lead infrastructure-as-code practices — Drive adoption and quality of IaC (Terraform, Pulumi) across the platform, from network topology to compute and storage layers.
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Harden production reliability — Define and own SLOs, build observability stacks (metrics, logs, traces), and lead incident response, blameless postmortems, and on-call rotations.
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Drive security-first infrastructure — Implement zero-trust networking, secrets management, IAM best practices, and compliance controls befitting a cybersecurity company.
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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.
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Scale with the team — Mentor engineers, contribute to technical roadmaps, and help define how infrastructure is built at Artemis as we grow rapidly.
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Maintain a delivery-focused approach, ensuring efficient and timely deployment of high-impact features and infrastructure improvements.
Qualifications
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5+ years of infrastructure or DevOps/platform engineering experience in production cloud environments at meaningful scale.
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Deep expertise in AWS — GCP or Azure experience is a plus.
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Extreme ownership mindset — you take personal responsibility for the success of the platform and the outcomes of your technical decisions.
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Strong infrastructure-as-code skills with Terraform or Pulumi; experience managing large, multi-environment configurations.
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Hands-on experience with streaming data infrastructure — Kafka, Kinesis, Flink, or equivalent at high throughput.
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Solid Linux systems knowledge — networking (DNS, load balancing, firewalls), storage, performance tuning, and debugging production issues.
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Experience building and operating observability platforms — Prometheus, Grafana, OpenTelemetry, Datadog, or similar.
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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. Equal Opportunity At Artemis, we believe the best ideas come from diverse teams. We’re committed to creating an inclusive environment where people of all backgrounds, experiences, and perspectives can do their best work. We welcome everyone, regardless of race, gender, age, religion, identity, or anything else that makes you, you.
How this job compares
Set against the 4,502 open Infrastructure Engineer jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This posting$180–250K/yr
- New York median$160–233K/yr219 salary ranges
- US median$125–229K/yr3,680 salary ranges
This range's midpoint, $215K, is 10% above the New York median midpoint ($195K) — in the middle half of Infrastructure Engineer salary ranges in New York.
- Openings
- Olive Jobs lists 277 open Infrastructure Engineer jobs in New York and 4,502 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Infrastructure Engineer postings that state a minimum ask for 6 years at the median (3,512 postings).
- Education
- 956 of the 4,502 open Infrastructure Engineer jobs (21%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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