Staff Software Engineer, Nightfall AI
Cloud-native data protection platform
Open for applications
Cloud-native data protection platform
101-200 employees
Open for applications
101-200 employees
Company mission
To empower enterprises big and small to navigate the digital world with confidence, while ensuring the security and privacy of their sensitive data.
Role
Who you are
- Minimum 4+ years of hands-on technical development experience
- Minimum 3+ years of experience mentoring and leading engineering teams
- Experience running the day-to-day sprint process for an engineering team
- Experience programming in Go, C++, Java or related language
- Experience designing and building systems in a microservices-based architecture
- A foundational understanding of multi-threaded programming, concurrency primitives, and data structures
- BS/MS in Computer Science or a related technical field
Desirable
- Experience working in high growth venture-backed startups
- Blog, teach, mentor, or help others learn outside of your day to day responsibilities
- Familiarity with AWS and managed infrastructure
- Familiarity with Docker/Kubernetes
What the job involves
- Drive great execution, work with the team to set clear goals, and deliver against them
- Help to recruit, inspire, and develop a high performing and creative engineering team
- Be both a hands-on coder and an effective people leader
- Implement best practices in a fast-paced engineering environment
- Champion engineering excellence and culture, establish metrics for regular improvement
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Insights
53% employee growth in 12 months
Company
Funding (2 rounds)
Aug 2022
$40m
SERIES B
Nov 2019
$20.3m
SERIES A
Total funding: $60.3m
Our take
Nightfall AI is tackling security challenges posed by the adoption of generative AI and technologies like GPT-4o. Businesses adopting these powerful AI models face extended concerns over sensitive data exposure, prompt injection attacks and model abuse.
Nightfall AI's firewall for I is a robust client wrapper safeguarding GENAI applications and data pipeline. it ensures security by proactively scanning and removing sensitive information like PII, PCI, PHI, and proprietary secrets. Additionally, it defends against prompt injection attacks, ensuring data integrity across diverse AI inputs.
With its AI-native detection engine and advanced DLP models, Nightfall proactively addresses future challenges in evolving AI technologies. By integrating into workflows, Nightfall enables organisations to deploy GenAI applications securely, ensuring compliance and driving innovation for enhanced customer experiences.
Freddie
Company Specialist at Welcome to the Jungle