3 дня назад
Senior Software Engineer (Data Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Data Platform) (Python/AWS): Building and operating mission-critical real-time data and analytics infrastructure at massive scale with an accent on distributed systems, cloud infrastructure, and high-volume data processing. Focus on designing production systems, provisioning infrastructure with Terraform, writing reliable code, and mentoring engineers across the organization.
Location: United States; salary range covers various U.S. geographic markets and U.S. locations. Up to 10% travel may be required for onboarding, client or partner work, team meetings, and industry events.
Company
Builds a real-time data platform that makes first-party data accessible and actionable for personalized ecommerce experiences.
What you will do
- Design, build, maintain, and operate mission-critical data and analytics infrastructure.
- Develop tooling, establish engineering best practices, and make technology choices for the Data Platform.
- Write technical design documents and high-quality production code.
- Design and operate large-scale distributed systems in AWS.
- Review engineering designs and code while providing technical mentorship.
Requirements
- 7+ years of experience in software engineering or a related discipline.
- Bachelor’s degree in Computer Science, a related field, or equivalent experience.
- Strong proficiency in at least one modern programming language, with Python used primarily on the platform.
- Experience with Terraform or a similar infrastructure-as-code tool, Linux, distributed systems, and cloud computing.
- Experience with OLTP and OLAP databases, high-volume data processing, and storage systems.
- Strong written and verbal communication, collaboration, problem-solving, and continuous learning skills.
Culture & Benefits
- Work on a massive-scale real-time data platform hosted on AWS.
- Collaborative, cross-functional engineering environment with opportunities for technical mentorship.
- Compensation may include an annual cash bonus, equity, sign-on payments, and health, welfare, and wellbeing benefits, subject to eligibility.
- AI use is expected to account for privacy, security, bias awareness, and human involvement.
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