Software Engineer, Privacy and Trust Infrastructure
AI Summary ✨
Requirements:
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C++ programming languages, or 1 year of experience with an advanced degree.
2 years of experience with Buganizer.
2 years of experience with system design.
Nice to haves:
Master's degree or PhD in Computer Science or related technical field.
2 years of experience with SQL and data analytics.
1 year experience with MapReduce, Big Data, Logs Analysis, Large-scale Data Processing.
Experience architecting and developing software or infrastructure for scalable, distributed systems for IT or OT.
What you'll be doing:
Implement assigned components of privacy-focused infrastructure and product enhancements by writing product or system development code for tasks with minimal assistance.
Contribute to cross-functional alignment related to assigned project component(s), understand how work fits in with related projects and components, including dependencies. Improve each other's work by reviewing code developed by others and providing feedback to ensure best practices.
Triage service issues and debug/track/resolve them by analyzing the sources of issues and their impact. Contribute to the technical activities beyond coding, such as Reliability monitoring and alerting, Integration testing, and production hygiene and support processes.
Deliver high-quality work aligned to team or company goals in a timely and efficient manner, taking responsibility for work successes and failures. Ensure completed work is of consistently high quality, writing well-factored, testable, resilient, and documented code.
Perks and benefits:
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits.
Determination of salary ranges by role, level, and location.
Specific salary range information will be shared by the recruiter during the hiring process.
Additional factors like job-related skills, experience, and relevant education or training also influence individual pay.