via Remote Jobs
$168000K-210000K a year
Develop and optimize distributed scheduling and automation services in a collaborative engineering environment.
7+ years experience with distributed systems and concurrency models, with bonus for gRPC, LibVirt, Kubernetes experience.
Job Description: • Spearhead the development of distributed scheduling and optimization services • Develop robust scripts, tools, and automation solutions to enhance system performance • Collaborate closely with a cross-functional, motivated team of engineers • Solve complex problems in a technically rewarding environment Requirements: • 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 Benefits: • Competitive salary • Employee Assistance Program • Local Employee Meetups • Flexible time off policy • Reimbursement for relevant conferences, training, and education • Access to LinkedIn Learning's 10,000+ courses • Equity compensation and participation in Employee Stock Purchase Program
This job posting was last updated on 3/5/2026