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- Tasks: Design and implement scalable systems for AI-driven cybersecurity solutions.
- Company: Join a VC-backed, remote-first startup revolutionizing cybersecurity with AI technology.
- Benefits: Work remotely, tackle ambitious challenges, and collaborate with an expert team.
- Why this job: Make a real impact in cybersecurity while working on cutting-edge AI technologies.
- Qualifications: Strong backend development skills and experience with data pipelines and distributed systems required.
- Other info: Be part of a founding team with leaders from Big Tech and successful startups.
The predicted salary is between 43200 - 72000 £ per year.
We are partnering with a VC backed, remote-first AI based cybersecurity looking to complete their Founding Team. As a Founding Engineer with a specialization in machine learning data engineering and model implementation, you'll have great experience building data pipelines and distributed processing systems. You’ll be responsible for designing and implementing robust, scalable systems, and efficient distributed processing frameworks that will power our core product.
Why Join Us:
- Ambitious Challenges: We are using Generative AI (LLMs and Agents) to solve some of the most pressing challenges in cybersecurity today. You’ll be working at the cutting edge of this field, aiming to deliver significant breakthroughs for security teams.
- Expert Team: We are a team of hands-on leaders with deep experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO.
- Impactful Work: Cybersecurity is becoming a challenge to most companies and helping them mitigate risk ultimately helps drive better outcomes for all of us.
What You Need to Be Successful:
- Extensive Experience in backend development: Strong proficiency in backend languages and frameworks such as Python, Java, Go, or Node.js, and experience with building microservices.
- Data Pipeline Mastery: Expertise in building and optimizing data pipelines using tools like Apache Kafka, Apache Spark, or AWS Glue.
- Distributed Systems Knowledge: Experience designing and implementing distributed systems for parallel data processing, with a strong understanding of tools like Hadoop, Spark, or Flink.
- Database Proficiency: Deep knowledge of both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Cassandra, MongoDB), with experience in designing scalable database architectures.
Founding Backend Engineer: AI Cybersecurity employer: Heart Mind Talent
Contact Detail:
Heart Mind Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Backend Engineer: AI Cybersecurity
✨Tip Number 1
Make sure to showcase your experience with backend development prominently. Highlight specific projects where you've used languages like Python, Java, Go, or Node.js, and detail how you built microservices.
✨Tip Number 2
Demonstrate your expertise in data pipelines by discussing the tools you've used, such as Apache Kafka or Spark. Share examples of how you've optimized these pipelines for performance.
✨Tip Number 3
When discussing distributed systems, focus on your hands-on experience with parallel data processing. Mention specific frameworks like Hadoop or Flink that you've worked with and the impact of your contributions.
✨Tip Number 4
Don't forget to highlight your database proficiency. Talk about your experience with both relational and NoSQL databases, and provide examples of scalable architectures you've designed.
We think you need these skills to ace Founding Backend Engineer: AI Cybersecurity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in backend development and data pipeline mastery. Include specific projects where you used Python, Java, or Go, and mention any relevant tools like Apache Kafka or AWS Glue.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and cybersecurity. Discuss how your background aligns with the ambitious challenges the company is tackling and emphasize your experience with distributed systems and scalable database architectures.
Showcase Relevant Projects: If you have worked on projects involving machine learning data engineering or building microservices, be sure to include these in your application. Provide links to your GitHub or portfolio to demonstrate your hands-on experience.
Highlight Team Collaboration: Since the role involves working with an expert team, mention any experiences where you collaborated with others on complex projects. Highlight your ability to work in a remote-first environment and contribute to impactful work in cybersecurity.
How to prepare for a job interview at Heart Mind Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with backend languages and frameworks like Python, Java, Go, or Node.js. Highlight specific projects where you built microservices or optimized data pipelines, as this will demonstrate your technical proficiency.
✨Demonstrate Data Pipeline Expertise
Discuss your experience with tools such as Apache Kafka, Apache Spark, or AWS Glue. Be ready to explain how you've built and optimized data pipelines in previous roles, as this is crucial for the position.
✨Understand Distributed Systems
Make sure you can articulate your knowledge of distributed systems and parallel data processing. Be prepared to discuss your experience with tools like Hadoop, Spark, or Flink, and how you've implemented these in real-world scenarios.
✨Highlight Database Proficiency
Talk about your deep knowledge of both relational and NoSQL databases. Provide examples of how you've designed scalable database architectures, as this will be key to your success in the role.
