Be an early applicantLess than 25 applicants

Company

DigitalOcean · 1 day ago

Staff Engineer (Fleet Performance)

Austin, TX

Full-time

Remote

Senior Level, Lead/Staff

$230K/yr - $270K/yr

7+ years exp

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Cloud ComputingDevOps

Growth Opportunities

H1B Sponsor Likely

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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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

CLinuxPythonGoVirtualizationLibVirtKVMQEMUCEPHAWXChefElasticsearchGitGithub ActionsGSuiteJiraNomadSlackVictoria MetricsOpen source contributionDebugging

Required

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

Preferred

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

Benefits

Reimbursement for relevant conferences, training, and education

Access to LinkedIn Learning's 10,000+ courses

One-time work from home stipend

Wellness allowance

Flexible time off policy

Bonus

Equity compensation

Equity grants upon hire

Option to participate in our Employee Stock Purchase Program

Company

DigitalOcean

Glassdoor

3.9

DigitalOcean provides a cloud platform to deploy, manage, and scale applications of any size.

Founded in 2012

New York, New York, USA

1,001-5,000 employees

http://www.digitalocean.com

H1B Sponsorship

DigitalOcean has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (3)

2022 (19)

2021 (19)

2020 (10)