Plume Design, Inc
Plume Design, Inc Benefits Overview
Compensation + Benefits
Offers 401(K)
Offers life insurance
Offers disability insurance
Offers company equity
Offers employee discounts
Offers performance bonuses
Offers dental insurance
Offers health insurance
Offers Health Savings Account (HSA)
Offers Flexible Spending Account (FSA)
Offers vision insurance
Offers generous parental leave
Provides fertility benefits
Company Culture
Provides commuter benefits
Provides free snacks and drinks
Office is pet friendly
Provides a mobile phone discount
Utilizes a flexible work schedule
Offers a remote work program
Work-Life Balance + Wellbeing
Offers company-sponsored outings
Offers gym membership
Offers generous PTO
Provides paid sick days
Provides paid holidays
Career Growth + Development
Provides customized development tracks
Provides tuition assistance
Recently posted jobs
Big Data • Internet of Things • Machine Learning
Leads the NOC L2 engineering team, overseeing escalated incident triage, on-call rotations, incident response, root-cause analysis, runbooks, operational metrics, and 24/7 coverage. Partners with Engineering, Infrastructure, Product, and L1 NOC teams to improve platform reliability and reduce recurring incidents. Responsibilities include hiring, coaching, performance management, technical escalation support, postmortems, and continuous operational improvement.
Big Data • Internet of Things • Machine Learning
Lead and develop a global Site Reliability Engineering team while establishing reliability standards, incident response, change management, and disaster recovery practices. Drive system availability, scalability, performance, and operational excellence; reduce toil; oversee SRE initiatives and metrics; support hiring and onboarding; manage budgets and resources; and collaborate with engineering, product, infrastructure, and senior leadership.
Big Data • Internet of Things • Machine Learning
Design, build, and deploy data-driven models using large-scale network and device telemetry. Responsibilities include data cleaning, feature engineering, analytical pipeline development, machine learning for anomaly detection, forecasting and optimization, and collaboration with engineering and product teams to deploy and monitor models. The role also translates business requirements into analytical solutions and contributes to MLOps workflows.
