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!

• 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!