DigitalOcean
Senior Engineer II (Fleet Efficiency)
DigitalOcean, San Francisco, California, United States, 94199
Senior Engineer II (Fleet Efficiency)
Join DigitalOcean as a Senior Engineer II focusing on Fleet Efficiency.
We are looking for an engineer passionate about maximizing the efficiency of the cloud hypervisor fleet while optimizing customer performance and availability.
What You’ll Do
Spearhead the development of our distributed scheduling and optimization services.
Develop robust scripts, tools, and automation solutions to streamline virtualization processes, enhance system performance, and boost operational efficiency.
Collaborate closely with a cross‑functional team of three engineers located in the US and Canada.
Utilize Golang, Linux, Kubernetes, bash, LibVirt, KVM, Python, MySQL.
Solve interesting and complex problems in a technically rewarding environment.
What You’ll Add
Proven track record: 7+ years of experience developing, deploying, and managing distributed systems.
Familiarity with concurrency and parallelism models in a modern programming language.
Bonus: experience with gRPC, LibVirt, Kubernetes.
Cultivate your skills, learn languages, and team up with an agile, self‑motivated group of peers to design, develop, test and deploy software in modern tools and languages such as Go.
Share responsibility for maintaining the availability and performance of core compute products.
Solve interesting problems of complexity and scale in a technically rewarding environment.
Compensation Range
$168,000 - $210,000
Remote role.
Benefits & Perks
We innovate with purpose, simplifying cloud and AI to empower builders.
Career development: reimbursement for conferences, access to LinkedIn Learning.
Well‑being: Employee Assistance Program, flexible time off, local meetups.
Equity and bonus compensation based on performance.
Equal Opportunity Employer DigitalOcean is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, or military service.
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We are looking for an engineer passionate about maximizing the efficiency of the cloud hypervisor fleet while optimizing customer performance and availability.
What You’ll Do
Spearhead the development of our distributed scheduling and optimization services.
Develop robust scripts, tools, and automation solutions to streamline virtualization processes, enhance system performance, and boost operational efficiency.
Collaborate closely with a cross‑functional team of three engineers located in the US and Canada.
Utilize Golang, Linux, Kubernetes, bash, LibVirt, KVM, Python, MySQL.
Solve interesting and complex problems in a technically rewarding environment.
What You’ll Add
Proven track record: 7+ years of experience developing, deploying, and managing distributed systems.
Familiarity with concurrency and parallelism models in a modern programming language.
Bonus: experience with gRPC, LibVirt, Kubernetes.
Cultivate your skills, learn languages, and team up with an agile, self‑motivated group of peers to design, develop, test and deploy software in modern tools and languages such as Go.
Share responsibility for maintaining the availability and performance of core compute products.
Solve interesting problems of complexity and scale in a technically rewarding environment.
Compensation Range
$168,000 - $210,000
Remote role.
Benefits & Perks
We innovate with purpose, simplifying cloud and AI to empower builders.
Career development: reimbursement for conferences, access to LinkedIn Learning.
Well‑being: Employee Assistance Program, flexible time off, local meetups.
Equity and bonus compensation based on performance.
Equal Opportunity Employer DigitalOcean is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, or military service.
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