Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Build and operate Cloud Native infrastructure while leading innovative product development.
- Arbeitgeber: Join Protect AI, a pioneer in cybersecurity focused on AI/ML risk management.
- Mitarbeitervorteile: Enjoy competitive salary, excellent insurance, and opportunities for professional growth.
- Warum dieser Job: Be part of a fast-paced startup culture that values innovation and teamwork.
- Gewünschte Qualifikationen: 4+ years in Cloud/Kubernetes, expertise in Python, and strong problem-solving skills required.
- Andere Informationen: Work with top-tier talent from AWS, Microsoft, and Oracle Cloud in a bureaucracy-free environment.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
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 Infrastructure Engineer 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:
-
Build and operate Cloud Native infrastructure
-
Design and develop innovative products end to end taking ownership of DevSecOps
-
Collaborate across functions (Product Managers 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:
-
Significant experience (4+ years) building and maintaining software systems on Cloud and Kubernetes based infrastructure.
-
Significant experience working with containers and Kubernetes, CI/CD pipelines and DevSecOps best practices.
-
Significant expertise in IaC tools (Terraform).
-
Expertise in modern Python (type hints, Pydantic, ..) and at least one strongly typed programming language (Go, Java, C#, C++).
-
Experience building Kubernetes Operators to automate operational tasks would be a plus.
-
Strong communication and problem solving skills.
-
ML/MLOps experience would be a plus.
-
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 — M4 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.
Protect AI is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#J-18808-Ljbffr
Senior Software Engineer: Infrastructure Arbeitgeber: Protect AI, Inc.
Kontaktperson:
Protect AI, Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Software Engineer: Infrastructure
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Kubernetes, Terraform, and modern Python. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Engage with the cybersecurity community, especially around AI/ML security topics. Participating in forums, attending meetups, or contributing to open-source projects can help you network and demonstrate your passion for the field.
✨Tip Number 3
Prepare to discuss your experience with DevSecOps practices and how you've implemented them in past projects. Be ready to share specific examples of how you've improved software development processes.
✨Tip Number 4
Showcase your leadership skills by discussing any mentoring or technical leadership roles you've held. Protect AI values collaboration and mentorship, so highlighting these experiences can set you apart.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Software Engineer: Infrastructure
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Software Engineer: Infrastructure position. Understand the key responsibilities and qualifications required, especially around Cloud Native infrastructure, Kubernetes, and DevSecOps.
Tailor Your CV: Customize your CV to highlight relevant experience in building and maintaining software systems on Cloud and Kubernetes. Emphasize your expertise in IaC tools like Terraform and modern programming languages such as Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cybersecurity and AI/ML. Mention specific projects or experiences that align with Protect AI's mission and how you can contribute to their innovative work.
Highlight Collaboration Skills: Since the role involves collaboration with Product Managers and Engineers, make sure to include examples of past teamwork experiences. Demonstrate your strong communication and problem-solving skills in your application.
Wie du dich auf ein Vorstellungsgespräch bei Protect AI, Inc. vorbereitest
✨Showcase Your Cloud and Kubernetes Expertise
Make sure to highlight your significant experience with cloud-native infrastructure and Kubernetes during the interview. Be prepared to discuss specific projects where you utilized these technologies, as well as any challenges you faced and how you overcame them.
✨Demonstrate DevSecOps Knowledge
Since the role emphasizes ownership of DevSecOps, be ready to explain your understanding of CI/CD pipelines and best practices. Share examples of how you've implemented security measures in the development process and how you ensure compliance throughout.
✨Prepare for Technical Leadership Questions
As a potential technical leader and mentor, expect questions about your leadership style and experiences. Think of instances where you've guided junior team members or led a project, and be ready to discuss how you foster collaboration and innovation within a team.
✨Express Your Passion for AI Security
Given Protect AI's focus on AI/ML security, convey your enthusiasm for this field. Discuss any relevant experience you have with ML/MLOps and how you see the future of AI security evolving. This will show your alignment with the company's mission and values.
