Software Engineer — Data Security (AI-Driven) | San Jose, CA (Hybrid)

Software Engineer Are you ready to join an exciting early-stage start-up that detects active data breaches and protects businesses? Be part of a team thats revolutionizing data security through AI-driven solutions. Their innovative platform focuses on data access governance and security , ensuring the right people have access to the right data at the right time. By utilizing advanced features like classification , granular access control , and attack detection , we minimize risks, enhance compliance, and prioritize remediation for maximum protection. If you're passionate about shaping the future of cloud security in a fast-paced, learning-driven environment, this is the opportunity for you! What We Offer Fast Learning & Mentorship : Work with a dynamic team of innovators in a supportive environment. Competitive Compensation : Includes a strong base salary and early-stage stock benefits. Comprehensive Benefits : Medical, dental, and vision coverage. FSA and HSA options (for high-deductible plans). Access to OneMedical and HealthAdvocate services. Life Insurance and AD&D Insurance Retirement Plan : 401(k) with a 3% company contribution, regardless of employee input. Paid Time Off : 15 days of PTO annually, with room to grow. Team-Building Events : Regular events such as happy hours, holiday celebrations, and more to foster collaboration and fun. What Youll Do Design, develop, and implement highly scalable software features for our next-generation data security platform. Solve complex challenges in a fast-paced environment while driving innovation. Collaborate with a team to tackle data engineering problems and deliver impactful solutions. What Were Looking For Strong software development experience in Golang , Scala , Java , Python , or C# . Expertise in data structures , algorithms , and design patterns . Familiarity with databases such as MySQL . Excellent communication and teamwork skills. Ability to be onsite 4 days a week in San Jose, CA (relocation assistance provided) Minimum Qualification : Bachelors degree in Computer Science or equivalent practical experience. Bonus Points For Experience solving data engineering problems at a production scale. Familiarity with cloud platforms , distributed data processing, and tools like Kubernetes , Docker , Confluent/Kafka , and CloudFormation Templates (CFTs) . Location Requirement This opportunity is open to full-time, non-contract employees located within the United States only. Ready to make a significant impact in the world of data security? Apply now and help protect sensitive data worldwide!