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.

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.

Medical, dental, and vision coverage.

FSA and HSA options (for high-deductible plans).

Access to One Medical and Health Advocate 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.

• 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.

• 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.

• Experience solving data engineering problems at a production scale.
• Familiarity with cloud platforms
  , distributed data processing, and tools like Kubernetes
  , Docker
  , Confluent/Kafka
  , and Cloud Formation Templates (CFTs).

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!