Staff Software Engineer - Stats and Analytics

November 5

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Logo of StackAdapt

StackAdapt

Content amplification • Content Distribution • Advertising • Native Ads • Display Ads

501 - 1000

💰 Series A on 2016-01

Description

• StackAdapt is a self-serve advertising platform specializing in multi-channel solutions. • We're seeking a Staff Engineer to lead our backend engineering team. • The Stats & Analytics team manages the end-to-end data lifecycle. • We tackle complex distributed system challenges focusing on scalability and data consistency. • Our tech stack includes Golang, TiDB, Redshift, Snowflake, Kafka, and Elasticsearch.

Requirements

• Experience with working with large datasets • Experience with real-time analytics services • Proven track record of delivering results and leading growing, high-impact teams • At least 5 years experience of software development in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company • At least 1 year of leadership experience, including all the responsibilities listed above • A strong understanding of computer science fundamentals, data structures, and algorithms • Up to date knowledge and experience in the latest technologies, tools, and frameworks • Experience with Go and high performance databases is a plus

Benefits

• Highly competitive salary • RRSP/401K matching • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off • Access to a comprehensive mental health care platform • Full benefits from day one of employment • Work from home reimbursements • Optional global WeWork membership for those who want a change from their home office • Robust training and onboarding program • Coverage and support of personal development initiatives (conferences, courses, etc) • Access to StackAdapt programmatic courses and certifications to support continuous learning • An awesome parental leave policy • A friendly, welcoming, and supportive culture • Our social and team events!

Apply Now

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