1 day ago
Base Salary
$146k - $264k/yr
Responsibilities
- Apply statistical analysis to identify performance bottlenecks and reliability challenges and propose solutions.
- Design and build software tools and systems that automate analytical workflows and improve operational efficiency.
- Define, implement, and mine data feeds from Akamai internal sources to generate insights and influence decision-making.
- Partner with Engineering, Operations, and Product teams on adopting new features and processes.
- Use machine learning, network protocol knowledge, and telemetry to diagnose content-delivery challenges and improve the platform.
Requirements
- Have eight years of academic or industrial experience.
- Hold a PhD or master’s degree in computer science or another quantitative field.
- Have an analytical background and experience with statistical data analysis.
- Have an in-depth understanding of machine learning algorithms.
- Have coding experience in Python, C, or C++.
- Have experience with Internet protocols including DNS, HTTP, TLS, and TCP.
- Demonstrate strong communication and organizational skills and the ability to explain technical information clearly.
Benefits
- Benefits include healthcare, a 401K savings plan, company holidays, PTO, sick time, parental leave, and an employee assistance program focused on mental and financial wellness.
- FlexBase supports working from home, in an office, or through a combination of both.
- The compensation package may include annual bonuses or incentives, equity awards, and an Employee Stock Purchase Plan; eligibility requirements apply.
About Akamai
Akamai builds content delivery, cloud security, and edge compute services for enterprises that run consumer and business web, API, and video workloads. The public company (NASDAQ: AKAM), founded in 1998 and headquartered in Cambridge, MA, operates a global CDN and security platform and sells via subscriptions and usage-based services. It expanded into cloud infrastructure by acquiring Linode in 2022, offering IaaS and managed Kubernetes.