Description
Software Engineer, Platform
Team: Platform Engineering
Location: New York, NY
Commitment: Full Time
Workplace Type: onsite
Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability.
As a Software Engineer working on platform, you'll design and build the internal backbone that makes Radical AI run: the services, frameworks, deployment primitives, developer workflows, and reliability systems that allow product engineers, scientists, and ML teams to ship faster - without breaking things.
This is not a "tickets and toil" DevOps role. We're looking for a strong backend engineer who's spent years building real systems, and now wants to own the platform that makes every team faster.
Mission
- Build and operate core platform services that power production systems
- Design internal APIs, service patterns, and shared libraries that enable teams to ship quickly and safely
- Own reliability in real-world environments: deployments, failures, observability, incident response, and debugging
- Improve our developer experience: CI/CD, testing workflows, environment management, and self-serve tooling
- Aid in production hardening: rollout strategies, safe migrations, incident playbooks, reliability testing
- Service orchestration primitives: queues, schedulers, retries, idempotency, cancellations, and long-running workflows
- Partner closely with backend, ML, robotics, and science teams to turn platform needs into clean abstractions
About you
- 5+ years of experience building backend systems in production environments.
- Strong software engineering fundamentals (design, implementation, testing, reliability).
- Fluency in at least one backend language: e.g., Python, Go, Rust, TypeScript, etc.
- Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation.
- Comfort operating services in the real world: on-call, debugging, performance bottlenecks, failure modes.
- Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI) and integrating security checks within them.
- Ability to build clean abstractions that other engineers actually want to use.
- Solid understanding of Linux/Unix systems administration.
- Experience with monitoring, logging, and tracing tools (Datadog, Prometheus, Grafana, Splunk, ELK, etc.).
- Understanding of network security concepts (e.g., firewalls, VPNs, network segmentation, Tailscale).
- Strong ownership and bias toward action: you find the sharp edges and sand them down.
Pluses
- Exposure to machine learning lifecycles or MLOps concepts.
- Experience with distributed systems (queues, schedulers, event-driven architectures, consistency tradeoffs).
- Background in scientific computing, robotics, or automation-heavy environments.
- Solid understanding of security principles, practices, and common security tools (e.g., vulnerability scanners, intrusion detection systems).
- Experience with security and compliance software (e.g., Drata, Apptega).
What we offer
- A competitive compensation package also includes the best in benefits:
- Medical, dental, and vision insurance for you and your family covered at 100%
- Mental health and wellness support
- Unlimited PTO and 14+ company holidays per year
- 401K
- Work closely with a team on the cutting edge of AI research.
- A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.
Salary Description
Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.
Disclosure
Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.
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