14 часов назад
Principal Software Engineer / Software Architect (DataOps)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer / Software Architect (DataOps): Defining and evolving large-scale, cloud-native architecture for a unified DataOps platform with an accent on distributed systems, AWS, scalability, security, and maintainability. Focus on establishing architectural standards, making high-impact technology decisions, guiding complex system designs, and mentoring senior technical leaders.
Location: Hybrid in Tel-Aviv, Israel
Company
builds a unified DataOps platform for data ingestion, reverse ETL, observability, and data cataloging.
What you will do
- Define, communicate, and own the architecture vision for the unified DataOps platform.
- Lead the design and evolution of large-scale, distributed, cloud-native systems on AWS.
- Establish architectural standards, patterns, governance, and best practices across engineering teams.
- Collaborate with executive leadership, product management, and engineering teams to translate business strategy into technical roadmaps.
- Provide hands-on guidance through design reviews, proof-of-concepts, and complex coding challenges.
- Identify architectural risks, drive technology selection, and mentor senior engineers and architects.
Requirements
- 7+ years of software development experience, including 3–5 years in an architecture or principal engineering role.
- Experience designing and delivering large-scale SaaS platforms or highly distributed systems.
- Deep knowledge of microservices, event-driven, and serverless architecture patterns.
- Extensive AWS architecture experience across a broad range of services.
- Strong technical leadership, architectural governance, mentorship, and high-impact decision-making skills.
- Hands-on expertise with TypeScript, Node.js, React, Python, high-performance SQL/NoSQL database design, Kubernetes, and message queues such as Kafka, SQS, or RabbitMQ.
Nice to have
- Experience working in a data tools company, including ETL, reverse ETL, observability, or data catalog products.
Culture & Benefits
- Strategic and hands-on role within an engineering organization focused on technical excellence.
- Opportunity to influence the architecture of a product backed by leading investors and used by data teams at companies including Ramp, Honeybook, and Lemonade.
- Mentorship and continuous learning across engineering teams.
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