SW Engineer

Voyantis

. Turn raw customer data into ad-network conversions end to end across ML and data pipelines, delivery services, and customer-facing UI .

Posted 10/25/2026full-timeTel Aviv • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing production cloud systems, with a strong focus on Python programming, data pipelines, and AI tooling. Capable of taking projects from concept to production while ensuring system reliability and effective communication within a collaborative team environment.

Highest-signal resume keywords

Production Cloud Systems DevelopmentStrong Python ProgrammingAI and Agentic Tooling AdoptionSQL and Data Warehousing ExperienceCloud and Orchestration Tooling Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Cloud SystemsPythonSoftware Design PrinciplesConcurrencyData StructuresCost/Performance Trade-offsSQLData WarehousingAnalyticsData Science

Soft Skills

Excellent Communication SkillsIndependent Learning AbilityCuriosity

Tools & Technologies

SnowflakeBigQueryDatabricksGoogle AdsMetaTemporalAirflowDockerKubernetesTerraform

Industry Keywords

Ad-NetworkMartechAttributionMeasurement EcosystemsConversion APIs

Tech Stack

Tools & technologies

AirflowAWSBigQueryCloudDockerKubernetesPythonSQLTerraform

About the role

Key responsibilities & impact

Turn raw customer data into ad-network conversions end to end across ML and data pipelines, delivery services, and customer-facing UI
Take features from idea to production largely independently by designing, shipping, monitoring, and iterating
Use AI and agentic tooling as a force multiplier
Own systems in production where mistakes can directly affect customer ad spend
Collaborate with the team lead, product, and data scientists
Take models and ideas from prototype to reliable, scaled-up production

Requirements

What you’ll need

3+ years of hands-on experience building production cloud systems end to end: architecture, development, testing, and cloud-native work in production
Strong Python
Solid software engineering foundations: software design principles, concurrency, data structures, and cost/performance trade-offs
AI-native, can-do generalist approach; use or willingness to adopt AI and agentic tooling as a core part of shipping
Comfortable across the whole stack and willing to work in unfamiliar areas
Strong ownership of systems end to end on a small team
Excellent communication skills
Strong independent-learning ability and curiosity to explore new fields and constantly improve
SQL and modern data warehouses such as Snowflake, BigQuery, or Databricks equivalent (advantage)
Experience with ad-network, martech, attribution, or measurement ecosystems, including Google Ads, Meta, MMPs, or conversion APIs (advantage)
Experience with modern cloud and orchestration tooling including Temporal, Airflow, Docker, Kubernetes, ArgoCD, Terraform, and AWS (advantage)
Background in analytics, data science, or product (advantage)

Benefits

Comp & perks

No benefits, perks, or compensation extras are specified in the posting