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Software Engineer - job 1 of 2

About the role

We’re looking for an experienced software engineer to help drive and evolve our data security product. Our technology is new and rapidly evolving: you’ll be an early contributor with a substantial impact on the architecture and be solving multiple exciting technical challenges!

What you’ll do

  • You'll design and implement highly scalable and fault-tolerant solutions to protect the enterprise data accessed by AI agents and LLM  

  • You'll be solving real-world scaling problems that require thorough performance analysis and troubleshooting skills

  • You get to work with a modern and constantly evolving microservices-based software stack which includes Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, and more. 

  • You'll write robust and secure-by-design hardened software that must withstand real-world attacks, while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet

Who you are

  • Proven Expertise: You have a strong track record of building high-scale security products. Experience with AI security, identity security, or DLP is a strong plus.

  • Cloud and SaaS Development: You have extensive experience developing distributed application software for public clouds (AWS, GCP, Azure) or SaaS applications.

  • Data Integration at Scale: You are skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs.

  • AI/ML Knowledge: You have an understanding of AI/ML frameworks and APIs, as well as AI services APIs (e.g., OpenAI, Anthropic, Gemini, etc.).

  • Programming Skills: You have extensive experience developing enterprise-scale applications, preferably in Python or Go. Alternatively, you are proficient in Java, C#, Scala, Kotlin, or Rust.

  • Database Proficiency: Familiarity with GCP BigTable, BigQuery, or graph databases like Neo4J or AWS Neptune is a plus.

  • Performance Optimization: You have expertise in profiling and optimizing distributed code that interacts with large databases and streaming platforms.

  • API and Microservices Development: You are experienced in designing and implementing RESTful APIs, with hands-on knowledge of microservices and Kubernetes.

  • Communication Skills: You have excellent verbal and written communication skills in English and are available to frequently collaborate with distributed teams across Europe, India, and the US.

  • Adaptability and Delivery: You thrive in fast-paced environments, tackle ambiguous challenges with confidence, and enjoy shipping solutions with velocity.

  • Customer-Centric Mindset: You prioritize the needs of customers and value direct feedback to enhance products and services.

  • AI/ML Experience: You have some hands-on experience with AI/ML technologies.

What you can count on

  • Competitive salary and stock options

  • Health benefits – 100% paid for you and your family

  • Flexible time off (paid)

  • Career advancement opportunities

Compensation Range: $180 - $240k

Please note that Ranges showed encompass the entire US market, from higher rate cities like NYC, Bay Area and Seattle, to all the US Metro Area.

Feel free to reach out to our team for a more specific compensation range, based on your location.

Cyberhaven is the AI-powered data security company revolutionizing how companies detect and stop the most critical insider threats to their most important data. We've raised over $140M from leading Silicon Valley investors like Khosla and Redpoint. Cyberhaven is also backed by founders, executives, and security leaders who have built transformational technologies at Crowdstrike, Nutanix, Palo Alto Networks, Meta, Google, Slack, and others.

Our company values are:

  • Think Deeply and Use Sound Reasoning

  • Step Up and Take Ownership

  • Continuously Learn and Grow

  • Obsess About Customers

  • Enjoy the Journey

  • Reach for Ambitious Goals

Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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CEO of Cyberhaven
Cyberhaven CEO photo
Howard Ting
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Average salary estimate

$210000 / YEARLY (est.)
min
max
$180000K
$240000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Software Engineer , Cyberhaven

Are you ready to take your career to the next level as a Software Engineer at Cyberhaven in the vibrant city of San Francisco? We’re on a mission to revolutionize data security, and we need your expertise to help shape our innovative data security product. In this exciting role, you'll be a key player in designing and implementing scalable, fault-tolerant solutions that protect sensitive enterprise data accessed by AI agents and LLMs. You'll tackle real-world scaling problems and be part of a dynamic microservices-based software stack using cutting-edge technologies like Go, Kubernetes, and BigQuery. Your robust, secure code will withstand real-world threats while handling data from numerous endpoints. If you're passionate about creating high-scale security products and have experience with AI security or cloud application development, this opportunity is tailor-made for you. You'll thrive in our fast-paced environment, collaborating with teams across the globe while continuously learning and pushing the boundaries of technology. Join Cyberhaven and help us take bold steps towards ambitious data security goals. Enjoy competitive salary packages, 100% covered health benefits, flexible paid time off, and a chance to grow your career in a company backed by Silicon Valley innovators. Let's together protect critical data and make a difference in the world of cybersecurity.

Frequently Asked Questions (FAQs) for Software Engineer Role at Cyberhaven
What are the responsibilities of a Software Engineer at Cyberhaven?

As a Software Engineer at Cyberhaven, your main responsibilities will include designing and implementing highly scalable solutions that protect enterprise data accessed by AI agents. You will solve real-world scaling problems, collaborate with cloud technologies, and write secure software capable of handling untrusted data efficiently. Your work will also involve developing microservices and RESTful APIs in a modern tech stack.

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What qualifications do I need to become a Software Engineer at Cyberhaven?

To qualify as a Software Engineer at Cyberhaven, you should have a proven track record in building high-scale security products, especially with a background in AI security or cloud development. Proficiency in programming languages like Python or Go, experience with distributed application development, and familiarity with API integrations are essential. Strong communication skills and a customer-centric mindset are also important for this role.

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What programming languages are preferred for the Software Engineer position at Cyberhaven?

Cyberhaven prefers candidates who are proficient in Python or Go for the Software Engineer role. Alternatively, knowledge in programming languages such as Java, C#, Scala, Kotlin, or Rust will suffice. Your ability to develop enterprise-scale applications in any of these languages will enhance your candidacy.

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What type of work environment can I expect as a Software Engineer at Cyberhaven?

As a Software Engineer at Cyberhaven, you can expect a collaborative and dynamic work environment. We value adaptability and encourage you to tackle challenges confidently. You'll regularly engage with diverse teams across multiple locations, promoting a culture of continuous learning and growth. Our commitment to ambitious goals ensures that your contributions are appreciated and impactful.

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What are the career advancement opportunities for Software Engineers at Cyberhaven?

At Cyberhaven, we prioritize career advancement and personal growth for our Software Engineers. You’ll have access to mentorship and professional development opportunities that allow you to enhance your skills and explore new challenges. With a focus on continuous learning, we provide a supportive environment where you can reach your ambitious career goals.

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Common Interview Questions for Software Engineer
Can you describe your experience with scalable data security solutions?

In your response, highlight specific projects where you designed and implemented scalable data security solutions. Discuss the technologies used and the challenges faced, showcasing your problem-solving skills and understanding of security best practices.

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How do you approach performance optimization in large-scale applications?

Explain the techniques you use for performance profiling and optimization. Give examples of performance bottlenecks you've encountered and how you resolved them, emphasizing your analytical skills and your ability to enhance system efficiency.

Join Rise to see the full answer
What is your experience with cloud technologies and distributed applications?

Share your familiarity with cloud service providers such as AWS, GCP, or Azure, and how you’ve developed distributed applications in those environments. Discuss the challenges and successes you've encountered in deploying cloud-native applications.

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How do you ensure the security of applications you are developing?

Discuss your approaches to integrating security from the ground up, including threat modeling, secure coding practices, and leveraging security frameworks. Explain how you stay updated with the latest security vulnerabilities and mitigation strategies.

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What is your experience with microservices architecture?

Detail your familiarity with microservices design principles, including how you've implemented RESTful APIs and worked with Kubernetes. Highlight any experience you have in troubleshooting and maintaining microservices in production.

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Can you explain a challenging technical problem you faced and how you resolved it?

Share a specific story where you encountered a complex tech problem, detailing your thought process, the steps you took, and the outcome. Focus on your analytical skills, perseverance, and any collaboration with team members.

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How do you communicate technical concepts to non-technical stakeholders?

Discuss your ability to translate complex technical jargon into relatable terms for non-technical team members. Offer examples of how you've successfully bridged the communication gap in past projects.

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What role does AI/ML play in your previous projects?

Explain your experience with AI/ML technologies, mentioning any specific frameworks or projects where you applied AI principles. Discuss the impact that AI/ML had on your project's success and your role in that context.

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What importance do you place on customer feedback in product development?

Highlight your belief in prioritizing customer needs, sharing any experiences where customer feedback directly influenced your projects or development decisions. Emphasize your adaptability and customer-centric approach.

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How do you stay updated with the latest trends and technologies in software engineering?

Share your methods for keeping current with industry trends, whether through attending conferences, participating in online courses, networking, or following influential figures in the tech field. Emphasize your commitment to lifelong learning.

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DLP works for 1% of companies; fortunately there is Cyberhaven for the other 99%.

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Full-time, on-site
DATE POSTED
January 9, 2025

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