We are looking for a Senior Software Engineer to join our growing Data Infrastructure team!
The team's main responsibility is developing Voyantis' data platform – from building the microservices and pipelines that onboard customer data into our platform, to the infrastructure and tooling that enables our internal data teams to analyze, transform, process, and collect data independently. Our goal is to build leverage: every feature we ship reduces friction for the teams that depend on our platform. We're looking for a builder who takes full ownership from inception to production, cares deeply about quality and performance, and leverages AI tools to move faster and deliver better outcomes.
Responsibilities:
Design and implement scalable, production-grade data pipelines and microservices that ingest, transform, and move data from a wide variety of customer sources at high volume.
Build and maintain high-performance backend services and APIs that interface with our data ecosystem, ensuring reliability, low latency, and security.
Develop and evolve the platform infrastructure – data warehouse, orchestration, compute – that internal data teams rely on daily.
Identify opportunities to automate recurring workflows and turn ad-hoc needs into robust, self-serve platform capabilities.
Collaborate with data scientists, analysts, and engineers across R&D to translate requirements into platform features.
Drive code quality through design reviews, code reviews, and adherence to engineering best practices.
Leverage AI tools throughout the full engineering cycle – from scoping and design to implementation and debugging – to deliver faster, higher-quality outcomes.
The team's main responsibility is developing Voyantis' data platform – from building the microservices and pipelines that onboard customer data into our platform, to the infrastructure and tooling that enables our internal data teams to analyze, transform, process, and collect data independently. Our goal is to build leverage: every feature we ship reduces friction for the teams that depend on our platform. We're looking for a builder who takes full ownership from inception to production, cares deeply about quality and performance, and leverages AI tools to move faster and deliver better outcomes.
Responsibilities:
Design and implement scalable, production-grade data pipelines and microservices that ingest, transform, and move data from a wide variety of customer sources at high volume.
Build and maintain high-performance backend services and APIs that interface with our data ecosystem, ensuring reliability, low latency, and security.
Develop and evolve the platform infrastructure – data warehouse, orchestration, compute – that internal data teams rely on daily.
Identify opportunities to automate recurring workflows and turn ad-hoc needs into robust, self-serve platform capabilities.
Collaborate with data scientists, analysts, and engineers across R&D to translate requirements into platform features.
Drive code quality through design reviews, code reviews, and adherence to engineering best practices.
Leverage AI tools throughout the full engineering cycle – from scoping and design to implementation and debugging – to deliver faster, higher-quality outcomes.
Requirements:
5+ years building production backend services in Python / Go / Node
Strong software engineering fundamentals – design patterns, testing, CI/CD, microservices architecture
Experience designing and operating distributed systems in cloud environments (AWS)
Deep understanding of data – modeling, pipelines, ETL/ELT processes, and query optimization.
Experience with modern data warehouses such as Snowflake / Databricks and orchestration tools such as Airflow / dbt.
Strong SQL skills and experience working with large-scale datasets.
Proven ability to take ownership end-to-end: from gathering requirements and designing solutions to deployment and production support.
Hands-on experience using AI coding tools (Cursor, Claude Code, or similar) as a core part of the engineering workflow.
Proactive by nature with a strong sense of ownership and internal drive for excellence.
Excellent written and verbal communication skills; high English proficiency.
Bachelor's degree in Computer Science, Engineering, or equivalent experience.
5+ years building production backend services in Python / Go / Node
Strong software engineering fundamentals – design patterns, testing, CI/CD, microservices architecture
Experience designing and operating distributed systems in cloud environments (AWS)
Deep understanding of data – modeling, pipelines, ETL/ELT processes, and query optimization.
Experience with modern data warehouses such as Snowflake / Databricks and orchestration tools such as Airflow / dbt.
Strong SQL skills and experience working with large-scale datasets.
Proven ability to take ownership end-to-end: from gathering requirements and designing solutions to deployment and production support.
Hands-on experience using AI coding tools (Cursor, Claude Code, or similar) as a core part of the engineering workflow.
Proactive by nature with a strong sense of ownership and internal drive for excellence.
Excellent written and verbal communication skills; high English proficiency.
Bachelor's degree in Computer Science, Engineering, or equivalent experience.
This position is open to all candidates.
