Job Description
About the position
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.
- Responsibilities
- 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.
- Requirements
- 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.
- Nice-to-haves
- 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) .
- 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
- 401(k) with a 3% company contribution, regardless of employee input.
- 15 days of PTO annually, with room to grow.
- Regular events such as happy hours, holiday celebrations, and more to foster collaboration and fun.
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Apply Now