Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.

Collaborate with cross-functional teams to define, design, and deliver new features.

Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.

Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers.

Ideally you’d have:

8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.

Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).

Show a track record of mentoring and leading teams in successful projects.

Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

Experience working fluently with standard containerization deployment technologies like Kubernetes and various public cloud offerings.

Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems.

Staff Software Engineer, Data Platform

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Scaleai

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