Staff Engineer
3 weeks ago
We are seeking a highly skilled Staff Engineer to join our team at DigitalOcean. As a key member of our fleet performance team, you will spearhead efforts to optimize and enhance core system performance, ensuring our products consistently exceed customer expectations.
Key Responsibilities- Develop and implement comprehensive performance metrics, analysis tools, and reporting systems
- Lead initiatives to enhance shared infrastructure, balancing performance optimization with rigorous security standards
- Collaborate with hardware engineering teams and vendors to continuously validate GPU fabric performance
- Engage with the open-source Linux community to advance virtualization technologies and integrate them into our fleet
- Conduct in-depth performance analysis of the Linux kernel, virtualization layer, storage, and network stack to devise optimization strategies
- Identify system bottlenecks proactively and drive optimizations across the hypervisor software stack
- Work cross-functionally to harness new performance capabilities from evolving hardware architectures
- Enhance test frameworks, harnesses, and pipelines to ensure robust performance validation
- Investigate and resolve virtual machine downtime and performance issues in our production environment
- Participate in on-call rotations as needed to support system reliability
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or Computer/Electrical Engineering or equivalent work experience
- Extensive knowledge of Linux kernel, hypervisors, and open-source operating systems
- 7+ experience with performance measurement tools such as profilers, eBPF, XDP, fio, TPCC, MLPerf, and NCCL
- 5+ years developing strategies for managing, monitoring, and analyzing infrastructure, applications and services
- Strong proficiency in Go, Python, and/or Ruby
- Deep understanding of kernel performance aspects, including scheduling, context switching, and hardware acceleration
- Expertise in distributed systems performance, including tracing and debugging methodologies
- Knowledge of GPU technology, GPU fabrics, and programming for multi-GPU workloads
- Demonstrated ability to solve complex problems at scale
- Strong security mindset with proactive approach to implementing best practices
- Excellent cross-team collaboration and communication skills
- Leadership experience in skills development and mentorship
- Professional-level written and spoken English with strong presentation abilities
- Experience with observability platforms such as Splunk, Prometheus, Grafana, Elastic, or Dynatrace
- Proficiency in C programming language
- Proficiency in compiler-level performance optimization techniques
- Experience with Chef, AWX, and/or Kubernetes
- Familiarity with x86_64 and/or ARM architectures
- Successful history of upstreaming Linux kernel patches
- In-depth knowledge of at least one Linux subsystem (CPU scheduling, memory management, file system, I/O, etc.)
- Experience in developing and deploying ML-based solutions for anomaly detection and dynamic load balancing
This role offers a unique opportunity to drive performance optimization at scale, leveraging cutting-edge technologies and AI/ML solutions to tackle complex infrastructure challenges. As our systems rapidly expand, you'll play a pivotal role in ensuring our architecture remains efficient, resilient, and future-ready.
Why Work at DigitalOcean?- We are proud to work here. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud computing so builders can spend more time creating software that changes the world.
- We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support your overall well-being.
- We reward our employees. The salary range for this position is between $230,000 - $270,00 based on market data, relevant years of experience, and skills.
- We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers.
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