Optimized Systems Engineer
2 days ago
We are looking for a talented Sr. Software Engineer, Performance Engineering to join our team at Tesla. This role involves working with our development teams to optimize system performance, identify and resolve bottlenecks, and ensure seamless digital experiences for our customers.
The successful candidate will have expertise in using profiling tools, experience with database indexing, query optimization, and cloud infrastructure, as well as knowledge of CI/CD tools and scripting languages.
The salary range for this position is $180,000 - $250,000 per year, depending on experience. Our comprehensive benefits package includes competitive pay, comprehensive health insurance, 401(k) matching, and more.
Key Responsibilities:
- Collaborate with Developers: Work closely with our development teams to improve code efficiency, refactor algorithms, and implement optimizations.
- Deep Dive Analysis: Perform in-depth analysis of application code using profiling tools to identify and resolve inefficiencies.
- Root Cause Analysis: Investigate and resolve performance degradation incidents through thorough root cause analysis.
- Diagnostic Tools: Use advanced diagnostic tools and methods, such as network analysis, database profiling, and code debugging to identify issues.
What You'll Need:
- Profiling Tools Expertise: Proficiency in using profiling tools, such as Dotnet-trace, Pprof, PySpy, JProfiler, VisualVM, and YourKit, for application code analysis and performance bottleneck identification.
- Database Indexing: Experience with database indexing, query optimization, connection pooling, and caching strategies (MySQL, MSSQL).
- Cloud Infrastructure: Deep understanding of cloud infrastructure and container orchestration platforms like Kubernetes or Docker.
- CI/CD Tools: Knowledge of CI/CD tools like Jenkins and GitHub for integrating performance testing into release pipelines.
- Network Technologies: Understanding of TCP/IP, HTTP/HTTPS, DNS, load balancing, and CDN technologies.
- Scripting Languages: Strong experience with scripting languages like Python, Shell, Bash, or Groovy for automating performance testing and monitoring tasks.
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