Senior Software Engineer

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🔥 0 minutes ago

🇮🇱 Israel – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Voyantis

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Seed Round on 2022-07

Consulting • Marketing • Artificial Intelligence

Voyantis is a company specializing in predictive models to optimize ad spending and enhance customer acquisition. They provide a platform for Value-Based Bidding with a focus on predictive lifetime value (LTV) models, allowing companies to attract high-value customers through AI-driven insights on platforms like Google and Meta. Voyantis processes anonymized data to deliver customized prediction models, enabling companies to enhance their marketing strategies by foreseeing customer value and behavior. Their solutions help businesses increase return on ad spend, customer retention, and overall profitability.

📋 Description

• Design and build production-grade systems across the Engage stack, including cloud data pipelines, ML and decisioning services, backend services, and customer-facing UI • Build closed-loop systems that turn ML predictions into automated decisions delivered to customers' databases and CRM systems • Feed outcomes back into systems so they continuously learn • Take features from idea through architecture, development, production deployment, monitoring, and iteration • Collaborate with the engineering lead, VP Product, and senior data scientists to productionize and scale models and research • Monitor performance and prioritize work using data-driven decisions • Participate in code reviews and uphold engineering standards and best practices

🎯 Requirements

• 5+ years of hands-on experience building large-scale, production cloud systems end-to-end • Experience with architecture design, development, testing, and operating systems in production • Strong understanding of software design principles, concurrency, data structures, and cost/performance trade-offs • Experience with cloud-native, event-driven architectures such as AWS Lambda, batch, SQS, and S3, or equivalents • Experience with modern data warehouses such as Snowflake, BigQuery, or Databricks • Experience with pipeline tooling such as dbt, Airflow, Spark, or Glue • Comfortable working across data pipelines, backend/applicative services, ML/algorithmic code, and frontend/UI • Proficiency in Python or a similar general-purpose language such as Go, Java, Scala, C#, or TypeScript/Node • Adaptability to learn Python quickly • Strong sense of ownership and accountability for systems end-to-end • Excellent communication skills, independent-learning ability, and curiosity • BSc in Computer Science / Engineering or equivalent • Applied ML / experimentation systems experience is advantageous • Frontend / UI experience is advantageous • Experience with Docker, Kubernetes, and ArgoCD is advantageous • Infrastructure-as-code experience with Pulumi or Terraform is advantageous

🏖️ Benefits

• High-ownership environment with autonomy and accountability • Opportunity to shape architecture and ship features to production • Work alongside engineering leadership, a VP Product, and senior data scientists • Exposure to data pipelines, ML and algorithms, backend services, and UI • Opportunity to build a brand-new revenue stream • Professional growth through independent learning and exploration of new fields

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