About the Role
We're looking for a passionate
Software Engineer
to join a remote team building next-gen data and AI products.
You'll work on scalable, cloud-native systems that process massive volumes of customer and event data.
This role is ideal for someone with 3–5 years of experience ready to grow, take ownership, and make a meaningful product impact.
This is a great opportunity for an engineer with a few solid years of experience who's ready to grow, take ownership, and make a real product impact.
Start Date: Ideally in September
What You'll Be Working On
Build backend services using Clojure in a functional programming environment
Design and improve distributed data platforms
Handle real-time processing of large-scale structured and unstructured customer data
Collaborate closely with cross-functional teams: Product, Design, and Engineering
Take part in code reviews, design discussions, and agile sprint planning
Work on full-stack features and integrate with external APIs and tools
Help shape and evolve the system's architecture, performance, and reliability
Contribute to a platform that supports global brands with AI-driven identity resolution and personalization
Tech Stack
Languages & Frameworks: Clojure, ClojureScript
Data Infrastructure: Apache Spark, Presto, Kafka
Cloud & DevOps: Kubernetes, Terraform, multi-cloud setup
AI/ML: AI agents, ML models for personalization, prediction, and data enrichment
About You
3–5 years of hands-on experience in backend or full-stack development (preferably in Clojure)
Solid knowledge of functional programming principles
Some exposure to distributed systems, data pipelines, or ML-powered platforms
Experience working on enterprise-grade software or large-scale platforms
Bonus: Familiarity with AI/ML tools, large language models, or probabilistic systems
Strong English communication skills and ability to work independently in a fully remote team
Comfortable collaborating across functions and owning features end-to-end
Why Join
Work on real-world challenges at the intersection of big data, AI, and customer experience
Friendly, fast-paced team with strong mentorship and learning opportunities
100% remote setup with flexible work hours
Long-term, stable contract with competitive pay
Rate & Engagement
Competitive hourly or monthly rate, depending on experience
Full-time (40 hrs/week), long-term contract
Stable project with 12+ months of planned roadmap
#J-*****-Ljbffr