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Software Engineer, Stats & Analytics (Intermediate/Senior)
Remote Software Engineer, Stats & Analytics (Intermediate/Senior)
Posted
3 months ago
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Description:
The Software Engineer will be responsible for building highly scalable, distributed real-time micro-services primarily written in Go.
They will work with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, and MariaDB.
The role involves building software that utilizes messaging queues such as Kafka, SQS, and Kinesis.
The Software Engineer will write performance-efficient and memory-optimized code.
Requirements:
2+ years of experience as a Backend Software Engineer.
Strong problem-solving skills in data structures, algorithms, and optimization.
Experience working with relational databases and/or key-value stores.
Experience in building scalable micro-services and distributed systems.
Benefits:
Competitive salary.
RRSP 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.
Mentorship opportunities with industry leaders.
An awesome parental leave policy.
A friendly, welcoming, and supportive culture.
Social and team events.
Apply now
Please, let StackAdapt know you found this job on RemoteYeah . This helps us grow π±.
Apply now
About the job
Posted on
August 17, 2024
Job type
Full-time
Salary
-
Location requirements
πΊπΈ
United States - Remote
β°οΈ
North America - Remote
Position
Software Engineer
Experience level
Junior
Senior
Technology stack
Ruby
Ruby on Rails
Elasticsearch
Redis
Go
GraphQL
Apache Kafka
ScyllaDb
MariaDB
TiDB
Kafka
Machine Learning
Microservices
S
StackAdapt
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