Top Tech Jobs & Startup Jobs

Lead end-to-end UX for complex enterprise security products: translate user research into intuitive interfaces, own interaction models, evolve and maintain design systems in Figma, collaborate with engineers, and promote design best practices and adoption across teams.

Ensure reliability, scalability, and usability of network infrastructure for Akamai Connected Cloud. Define requirements and SLOs, build automation and CI/CD pipelines, collaborate with dev/QA to improve code and stability, troubleshoot complex network issues (on-call), and mentor teammates while driving architectural standards.

The Technical Enablement Architect analyzes and develops training content for Akamai products, collaborating with teams to create engaging learning solutions across modalities.

Lead and grow a regional pre-sales solutions engineering team to drive security-focused demos, POCs, and revenue. Set strategy, manage performance, build capabilities, develop analytics, and partner cross-functionally to ensure customer success and product adoption.

Own technical customer relationships for API security, driving onboarding, adoption, and renewals. Deliver technical deep-dives and custom demos, map APIs, assess exposure, surface attack patterns and indicators of compromise, and coordinate with Product, Engineering, and Support to expedite fixes and features while aligning platform capabilities to customer security goals.

Lead QA efforts for a scrum team, design and automate functional, integration, system, and acceptance tests (PyTest), integrate tests into CI/CD, build testing tools and scripts, and apply new approaches including AI to improve distributed Big Data backend testing.

Collect, standardize, and automate headcount and OpEx data; build dashboards and analytics using SQL, Tableau, and AI tools; partner with finance, talent acquisition, and leadership to monitor performance, investigate anomalies, and implement data governance and process improvements.

Lead product strategy and roadmap for GPU instances, clusters, and AI infrastructure. Manage full product lifecycle, build business and technical models, drive go-to-market and partner integrations, translate AI/HPC workload needs into specifications, and oversee GPU infrastructure operations and lifecycle decisions.

Lead and mentor SRE teams; partner with engineering, operations and product; apply statistical analysis and networking expertise to diagnose performance and reliability issues; define and implement data feeds; influence technical decisions and investments; build tooling to automate analytical workflows and increase platform reliability.

Design, implement, and maintain reliable, scalable infrastructure for large distributed content delivery systems. Define and measure SLIs/SLOs, monitor availability and performance, troubleshoot incidents, and implement corrective actions. Develop automation to reduce manual work, participate in design reviews, and collaborate with product and engineering teams to improve system reliability and performance.