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Software Engineer - Data Platform
Software Engineer - Data Platform-March 2024
Mountain View
Mar 28, 2026
About Software Engineer - Data Platform

  At Lacework, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers.

  Our team members enjoy solving complex problems, big sky thinking, and obsess over getting the details right. We love what we do and are proud of our work to secure clouds and container environments for thousands of users worldwide.

  At Lacework, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers.

  We are looking for a Senior Software Developer, Data Platform. Our team members enjoy solving complex problems, big sky thinking, and obsess over getting the details right—all while building bonds of teamwork and friendships that last a lifetime. We love what we do and are proud of our work to secure clouds and container environments for thousands of users worldwide.

  Cloud computing is revolutionizing IT and forcing organizations to rethink their approach to cloud security. Lacework is at the forefront of this transformation. We enable security teams to effectively secure public and private clouds – AWS, Azure or collocations – by eliminating repetitive, manual and labor-intensive security tasks. Using Lacework, security teams operate security at the same pace as DevOps, which relies on automated tools to publish daily updates to the cloud.

  This role is based in Mountain View, CA. We use a hybrid work model of 2 days in the office per week and offer relocation assistance to new employees.

  What You Will Accomplish

  Architect, design, and implement highly scalable distributed systems that provide availability, scalability and latency guarantees.

  Develop infrastructure as required to monitor and scale.

  Own one or more services in its entirety within Data Platform from design, coding to delivery and monitoring post deployment.

  Participate in functional scoping and work distribution (be a tech lead)

  Peer Code reviews and technical design reviews

  Mentor and guide junior team members.

  What You Will Bring

  Minimum 8 years of experience building highly available, scalable, distributed services.

  Bachelors in CS or similar

  Proven ability and an understanding of design for scalability, performance, and reliability

  Deep understanding of relational databases such as MySQL, Postgres, Oracle, and SQL development are required. Experience with Snowflake is plus

  Must have experience developing microservices with Java, using frameworks such as Spring, Drop wizard.

  Experience developing Kubernetes based services on AWS Stack is highly desired.

  Excellence in technical communication with peers and non-technical cohorts

  Detail oriented, have a proven ability to be a technical lead for a small team / project.

  Preferred Qualifications and Nice-To-Have

  10 years of industry experience.

  Advance degree (M.S. preferred)

  Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.

  Experience with Unix/Linux development/production environments

  Powerful sense of ownership, customer obsession, and drive

  Sharp analytical abilities, Quick learner; self-starter, detailed and thorough.

  Strong skills on mentoring/growing junior people.

  Demonstrated technical leadership abilities & a team player.

  Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.

  Salary Range: $119k - $300k USD Annually + Benefits (https://www.lacework.com/careers/) + Bonus + Equity

  Actual compensation may vary based on factors such as geographic location, work experience, education/training and skill level.

  Location: Mountain View, CA | Seattle, WA

  Lacework is an Equal Opportunity Employer. It is the policy of Lacework to provide equal employment opportunity to all persons, regardless of age, race, religion, color, national origin, sex, political affiliations, marital status, non-disqualifying physical or mental disability, age, sexual orientation, membership, or non-membership in an employee organization, or on the basis of personal favoritism or other non-merit factors, except where otherwise provided by law

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