Hybrid Senior Software Engineer – Distributed Systems

at Decentriq

• Job title: Senior Software Engineer – Distributed Systems
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Cloud, Kubernetes, Pandas, PySpark, Python, Rust, Scala, Spark
• Location requirements: Hybrid, Zurich, Switzerland

About the role

• Senior Software Engineer at Decentriq, leading data pipelines in privacy-preserving machine-learning for AdTech. Full ownership of ML models and cross-functional collaboration within the tech stack.

Responsibilities

• Own, Design & Operate Data Pipelines – Take full responsibility for all pandas- and Spark-based pipelines, from development through production and monitoring.
• Advance our ML Models – Improve and productionise models for AdTech use-cases such as look-a-like modelling, audience expansion, and campaign measurement.
• Engineer for the Invisible – Because data inside confidential enclaves is literally invisible (even to root), build extra-robust validation at the data source, exhaustive test coverage, and self-healing jobs to guarantee reliability.
• Collaborate Cross-Functionally – Work closely with data scientists, backend engineers (Rust), and product teams to ship features end-to-end.
• AI-Powered Productivity – Leverage LLM-based code assistants, design generators, and test-automation tools to move faster and raise the quality bar.
• Share your workflows with the team Drive Continuous Improvement – Profile, benchmark, and tune Spark workloads, introduce best practices in orchestration & observability, and keep our tech stack future-proof.

Requirements

• Bachelor/Master/PhD in Computer Science, Data Engineering, or a related field and 5+ years of professional experience.
• Expert-level Python plus solid hands-on experience with pandas, PySpark/Scala Spark, and distributed-data processing.
• Proven track record building resilient, production-grade data pipelines with rigorous data-quality and validation checks.
• Experience running workloads in Databricks, Spark on Kubernetes, or other cloud/on-prem big-data platforms.
• Working knowledge of ML lifecycle and model serving; familiarity with techniques for audience segmentation or look-a-like modelling is a big plus.
• Exposure to confidential computing, secure enclaves, homomorphic encryption, or similar privacy-preserving tech is a plus.
• Rust proficiency (we use it for backend services and compute-heavy client-side modules) is a plus.
• Data-platform skills: operating Spark clusters, job schedulers, or orchestration frameworks (Airflow, Dagster, custom schedulers) is a plus.

Benefits

• Join Decentriq's Engineering team as in individual contribuor and earn growing responsibilities
• Being able to create, shape, and benefit from a young company.
• An amazing and fun team that is distributed all over Europe.
• Competitive salary.
• A lot of opportunities for self-development.
• No need for a formal motivational letter. Just send your CV along with a few bullet points about why you're excited to work with us.