Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Prepare distributed data systems (batch/stream, warehouses/lakes), SQL and pipeline debugging, reliability/SLAs, and how data supports a cyber SaaS product. Expect senior-level design tradeoffs and ownership stories; no public Axonius interview scorecard is in this data.
Strong fit if you want senior data-engineering impact at a growing Tel Aviv cyber SaaS firm (asset/exposure management). On-site Tel Aviv; thin public culture/salary signals—use interviews to probe team stack and scope.
As a Senior Software Engineer on Data Engineering at Axonius, expect pipeline design and reliability work that feeds product analytics and platform insights for cyber asset/exposure use cases: model and move large datasets, harden jobs for scale, partner with product and platform teams, and keep data quality and observability tight as the business grows past unicorn scale.
The listing is for Tel Aviv, Israel with remote flagged off—treat it as on-site unless Axonius says otherwise.
Cyber company (founded 2017) focused on asset visibility and exposure management, including AI-driven work for OT/IoT environments per recent coverage.
No verified compensation data is provided for this listing; do not assume a range from this enricher.
Website: axonius.com
Public cache only — not an employee review.
Axonius is hiring a Senior Software Engineer specializing in Data Engineering to join its team in Tel Aviv, Israel. In this full-time, on-site role, you will architect the data backbone that turns sprawling, disconnected information into structured intelligence the entire organization can act on. About the Role As a Senior Software Engineer (Data Engineering) at Axonius, you'll own the design and construction of the data platforms, machine learning pipelines, tooling, and cloud infrastructure that convert massive, fragmented datasets into standardized, process-ready formats. Your contributions give business stakeholders end-to-end visibility, unlock automation, and fuel strategic decision-making across the company. Key Responsibilities Plan, design, and deliver every layer of the platform's data systems, ML pipelines, and the infrastructure that supports them. Engineer and tune an AWS-based Data Lake, applying cloud architecture best practices for partitioning, metadata handling, and security at enterprise scale. Drive data initiatives from first infrastructure sketches all the way to production monitoring and ongoing optimization. Build efficient ETL/ELT workflows and query strategies that resolve tough integration problems across both structured and unstructured sources. Qualifications 5+ years building and maintaining big data pipelines in on-premises or hybrid cloud SaaS settings. Strong command of at least one of Python, Scala, Java, or Go, plus solid experience with both SQL and NoSQL databases. A track record of applying software engineering fundamentals — testing, code reviews, design docs, and CI/CD. Hands-on experience developing pipelines and managing data lakes on AWS. Working knowledge of Kafka and orchestration tools such as Airflow. Nice to have: familiarity with Docker, Kubernetes, and Terraform; exposure to the modern data stack including Databricks, Snowflake, MongoDB, and open table formats like Iceberg or Delta; and experience designing ML/AI-driven production infrastructure. About Axonius Axonius turns cyber asset intelligence into action. Through the Axonius Asset Cloud, customers get ahead of high-risk exposures, misconfigurations, and wasted spend by unifying data from across their IT environment — covering assets, software, SaaS apps, identities, vulnerabilities, and infrastructure. Recognized by CNBC, Forbes, and Fortune as one of the fastest-growing cybersecurity companies, Axonius supports millions of assets for customers worldwide and is committed to an inclusive workplace…
Generated for personal interview prep · 2026-07-18 UTC · getajob.ai