Overview
In this Software Engineer role, you’ll contribute to the R&D team building the Quantexa Platform, a Contextual Decision Intelligence product that handles large data sets to detect anomalies and support decision-making. You will work on backend services, embracing functional programming and scalable architectures. You’ll collaborate across teams to deliver high-quality, production-ready solutions and help shape the platform’s evolution. This role offers autonomy, a strong engineering culture, and an impact-driven environment.
Pay / Benefits
- equal opportunity employer
- inclusive and diverse environment
- reasonable adjustments and accommodations
- autonomy and support in career development
- global collaboration across offices
Responsibilities
- Design, build and deliver high-quality, well-engineered solutions to complex problems
- Ensure solutions fit well within the wider system and scale
- Contribute across the full software lifecycle from design to deployment
- Engage with DevOps tooling and automation practices to improve tooling and delivery
- Work with data processing and pipeline concepts relevant to production systems (ETL/analytics)
Key requirements
- Commercial Scala and Functional Programming experience
- Experience across the full engineering lifecycle (design, implementation, testing, deployment)
- Familiarity with DevOps tooling and approaches
- Nice-to-have: Big data tech (Spark preferred; Hadoop or Elasticsearch)
- Experience building data processing pipelines and improving data quality/integrity
- Ability to manipulate and cleanse data for production use
- collaboration
- problem-solving mindset
- attention to quality
- Scala
- Functional programming
- Akka
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