We’re excited to partner with a groundbreakingstealth-mode cybersecurity startup, led by visionary experts in thefield. They are developing an innovative platform that combines thepower of generative AI with state-of-the-art data science toaddress some of today’s most complex security challenges forbusinesses worldwide. This is a unique opportunity to be part of atransformative venture. As the Founding Software Engineer(Data/Processing), you will be a key player in building thebackbone of our technology. You’ll be responsible for designing andimplementing robust backend systems, scalable data pipelines, andefficient distributed processing frameworks that will power ourcore product. This is a unique opportunity to shape the technicalfoundation of our company and influence our long-term success. YourContributions to Our Journey: - Architect Backend Systems: Design,develop, and maintain scalable and secure backend services thathandle high volumes of data and transactions. - Build Scalable DataPipelines: Develop and optimize data pipelines to efficientlyprocess and move large datasets, ensuring data integrity andlow-latency access. - Implement Distributed Processing: Create andmanage distributed processing systems that handle parallelcomputation and data processing at scale. - Ensure Data Integrityand Security: Implement best practices for data storage,encryption, and access control to safeguard data integrity andprivacy. - Collaborate on API Design: Work closely with frontendengineers and other team members to design and implement RESTfulAPIs that integrate seamlessly with the frontend. - Optimize forPerformance: Continuously monitor and optimize system performance,focusing on improving speed, scalability, and reliability. -Establish Best Practices: Define and enforce best practices forcoding, testing, and deployment, ensuring high standards across theengineering team. - Lead and Mentor: As the team expands, mentorjunior engineers and lead technical discussions, helping to build astrong engineering culture. What You Need to Be Successful: -Extensive Experience: 10+ years of experience in backenddevelopment, with a focus on data pipelines and distributedprocessing. - Backend Expertise: Strong proficiency in backendlanguages and frameworks such as Python, Java, Go, or Node.js, andexperience with building microservices. - Data Pipeline Mastery:Expertise in building and optimizing data pipelines using toolslike Apache Kafka, Apache Spark, or AWS Glue. - Distributed SystemsKnowledge: Experience designing and implementing distributedsystems for parallel data processing, with a strong understandingof tools like Hadoop, Spark, or Flink. - Database Proficiency: Deepknowledge of both relational databases (e.g., PostgreSQL, MySQL)and NoSQL databases (e.g., Cassandra, MongoDB), with experience indesigning scalable database architectures. - Cloud and DevOps:Familiarity with cloud platforms (e.g., AWS) and experience withcontainerization (Docker, Kubernetes) and CI/CD pipelines. -Security Focus: Strong understanding of data security and privacybest practices, including encryption and secure data accessmethodologies. - Problem-Solving Skills: Excellent analytical andproblem-solving skills, with the ability to design and implementsolutions that are both efficient and scalable. - CollaborativeSpirit: Excellent communication and teamwork skills, with theability to work effectively in a cross-functional team. - Agilityand Adaptability: Comfort working in a fast-paced startupenvironment with the ability to pivot and adapt as needed. Why JoinUs: - Ambitious Challenges: We are using Generative AI (LLMs andAgents) to solve some of the most pressing challenges incybersecurity today. You’ll be working at the cutting edge of thisfield, aiming to deliver significant breakthroughs for securityteams. - Expert Team: We are a team of hands-on leaders with deepexperience in Big Tech and Scale-ups. Our team has been part of theleadership teams behind multiple acquisitions and an IPO. -Impactful Work: Cybersecurity is becoming a challenge to mostcompanies and helping them mitigate risk ultimately helps drivebetter outcomes for all of us.
