Senior 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.

Theirinnovative 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.

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)
• Bachelors degree in Computer Science or equivalent.
• 4-8 years of relevant working 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!