Senior Software Engineer: Backend

Sorry, this job was removed at 06:44 p.m. (CST) on Monday, Aug 04, 2025
Seattle, WA
In-Office
180K-230K Annually
Artificial Intelligence • Machine Learning • Software • Cybersecurity
The Role
About Protect AI

Protect AI is shaping, defining, and innovating a new category within cybersecurity around the risk and security of AI/ML. Our ML Security Platform enables customers to see, know, and manage security risks to defend against unique AI security threats, and embrace MLSecOps for a safer AI-powered world. This includes a broad set of capabilities including AI supply chain security, Auditable Bill of Materials for AI, ML model scanning, signing, attestation and LLM Security.

Join our team to help us solve this critical need of protecting AI!

Role

Protect AI is seeking software development engineer (SDE) to join our growing Engineering team. Our engineering team builds and operates ‘Protect AI Platform’ covering everything from AI supply chain security and ML Model Scanning to LLM Security. You will work closely with fellow Software Engineers who bring a variety of skillset to the table including Backend, Frontend, Infra, ML and Security Engineering. You will also get opportunity to work closely with Product Managers, Architects and our CTO.

Responsibilities:
  • Design and develop innovative products end to end taking ownership of DevSecOps

  • Collaborate across functions (Product Managers, UX Designers and Engineers) to understand requirements and develop solutions

  • Act as a technical leader and mentor junior team members

  • Continuously improve the software development process, including testing, deployment, and monitoring

Qualifications:
  1. Significant experience building and maintaining software systems. Backend systems and APIs including stateful systems.

  2. Experience building complex distributed systems.

  3. Strong expertise in modern Python (type hints, Pydantic, ..) and at least one strongly typed programming language (Go, Java, C#, C++).

  4. Comfortable working with modern Cloud platforms (AWS, Azure, GCP or OCI) and Infrastructure as Code.

  5. Preferably have experience operating systems in production with SLAs and on-call.

  6. Experience with Kubernetes and Cloud Native ecosystem would be a plus.

  7. ML/MLOps experience would be a plus.

  8. Strong communication and problem solving skills.

  9. Excited about working in an agile and fast paced environment.

What We Offer:
  • An exciting, collaborative work environment in a fast-growing startup.

  • Competitive salary and benefits package.

  • Excellent medical, dental and vision insurance.

  • Opportunities for professional growth and development including attending and presenting technical talks at meetups and conferences.

  • A culture that values innovation, accountability, and teamwork.

  • Opportunities to contribute to our open source projects with thousands of Github stars.

  • Work with a team of talented and well-accomplished peers from AWS, Microsoft and Oracle Cloud.

  • Work with best in class tools — M16 Macbook Pro, 34” Monitor, modern tech stack and high quality collaboration tools.

  • No bureaucracy and legacy systems. You are empowered to innovate and do your best work.

  • Incredible downtown Seattle office with 180 degree views of the Puget Sound and high quality video conference systems.

  • Weekly lunch at the office and weekly delivery credits for food delivery services.

  • Complimentary gym access, secure bike parking on-premise and Orca pass.

Compensation tier: $180-230k plus stock options.

Protect AI is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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The Company
HQ: Seattle, Washington
87 Employees
Year Founded: 2022

What We Do

Protect AI is a cybersecurity company focused on AI & ML systems. Through the delivery of innovative security products and thought leadership in MLSecOps, we help our customers build a safer AI powered world.

Protect AI is based in Seattle, Washington, with offices in Dallas, Texas, and Raleigh, North Carolina. The company is directed by proven leaders in AI and ML with funding from successful venture partners in cybersecurity and enterprise software.

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