Software Engineer - Data Infrastructure - Kafka
CanonicalRemote
Full Time
Posted March 31, 2026
Not Specified
Remote
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Job Description
This role involves developing and automating infrastructure features for fault-tolerant, distributed data platforms using Python, with a focus on managing Big Data technologies like Kafka and Spark, to support enterprise multi-cloud and on-premise data solutions.
Key Responsibilities
- Automate data platform operations, including fault-tolerant replication, TLS, installation, and backups
- Develop infrastructure features for data platforms through automation
- Collaborate with a distributed team to design and implement solutions
- Write high-quality Python code to create new automation features
- Debug issues related to data platform automation and infrastructure
- Provide domain-specific expertise on data systems to other teams
Requirements
- Proven hands-on experience in software development using Python.
- Proven hands-on experience in distributed systems, such as Kafka and Spark.
- Have a Bachelor’s or equivalent degree in Computer Science, STEM, or a similar field.
- Willingness to travel up to 4 times a year for internal and external events.
Benefits & Perks
Competitive base pay based on location, experience, knowledge, and skills
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Fully remote working environment
Personal learning and development budget of 2,000 USD per annum
Opportunity to travel to new locations to meet colleagues twice a year
Travel upgrades and Priority Pass for long-haul company events
Additional benefits and rewards such as annual bonuses and sales incentives (depending on role and location)
Ready to Apply?
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