Software Engineer, Data Platform
United States
Lacework
Need better insight into the security of your cloud environments? Learn how Lacework can automate cloud security, prioritize risks, and help you scale.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—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.
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—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.
We are looking for a Senior Software Developer, Data Platform
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 5 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.
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
Tags: AWS Azure DevOps Distributed Systems Kubernetes Linux Microservices MySQL Oracle PostgreSQL RDBMS Security Snowflake SQL
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