1 день назад
Principal Software Development Engineer (AI)
225 600 - 338 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Development Engineer (AI): Building scalable, secure cloud-native enterprise applications and intelligent analytics solutions with an accent on backend and frontend architecture, data warehouses, and security and performance standards. Focus on designing SQL/NoSQL data systems, implementing microservices and automated testing, and guiding engineers across technical projects.
Location: San Jose, United States
Annual base pay: $225,600–$338,400, with potential incentive compensation, bonuses, restricted stock units, and benefits.
Company
develops cybersecurity solutions that help organizations create, secure, and operate applications.
What you will do
- Lead requirements analysis and define designs for new tools and enhancements to existing systems.
- Architect and lead scalable, secure backend and frontend systems for Engineering and Operations teams.
- Set technical direction, establish design methodologies, and apply coding standards and design patterns.
- Build automated testing strategies and quality gates for continuous integration and deployment.
- Drive security, performance, observability, and monitoring standards across software components.
- Mentor junior engineers and collaborate with cross-functional teams to deliver projects.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or an equivalent background, plus 10+ years of professional software engineering experience.
- Expertise in cloud-native intelligent analytics and data warehouse solutions.
- Experience with Go, Python, Java, or similar technologies.
- Strong experience designing and performance-tuning SQL and NoSQL databases.
- Experience with frontend technologies such as React and familiarity with machine learning models and AI techniques.
- Hands-on experience with Docker, Kubernetes, microservices, and cloud platforms such as AWS or GCP.
Nice to have
- Implementation experience with machine learning models and AI techniques for improved decision-making.
- Experience with PromQL, Tableau, or Grafana.
Culture & Benefits
- Potential incentive compensation, bonus, and restricted stock units.
- Employee benefits are available.
- Work is carried out in a diverse environment focused on improving customer and organizational outcomes.
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