Data Infra Engineer at Axonius United States

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Infrastructure, ML Pipelines, Cloud Infrastructure, AWS, ETL, ELT, Python, Scala, Java, Go, SQL, NoSQL, Kafka, Airflow, Docker, Kubernetes, Terraform

Industry

Computer and Network Security

Description

Axonius is seeking a Data Infra Engineer. You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company. Responsibilities Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure. Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations. Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization. Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data. Minimum Qualifications Experience: 3+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments. Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases. Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD. AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS. Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow. Preferred Qualifications Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform. Modern Data Stack: Familiarity with the following tools is an advantage: Kafka, Databricks, Airflow, Snowflake, MongoDB, Open Table Format (Iceberg/ Delta) ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines. #LI-HYBRID #LI-ZR1 About Axonius: Axonius transforms cyber asset intelligence into actionability. With the Axonius Asset Cloud, customers preemptively tackle high-risk and hard-to-spot threat exposures, misconfigurations, and overspending. The integrated platform brings together data from every system in an organization’s IT infrastructure to optimize mission-critical risk, performance, and cost measures via actionable intelligence. Covering cyber assets, software, SaaS applications, identities, vulnerabilities, infrastructure, and more, Axonius is the one place to go for Security, IT, and GRC teams to continuously drive actionability across the organization. Cited as one of the fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius supports millions of assets for leading customers across industries and around the world. Axonius makes it a priority to invest in our people with competitive compensation and benefits, growth opportunities, community-building, and so much more. Learn more about benefits at Axonius. At Axonius we support a diverse and inclusive workplace and believe in equal employment opportunity. We welcome people of different backgrounds, experiences, abilities and perspectives, regardless of race, color, ancestry, religion, age, sex, gender identity, national origin, sexual orientation, citizenship, marital status, disability, or Veteran status. By submitting your application to us, you acknowledge that your personal data will be processed in accordance with our Global Job Candidate Privacy Notice.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design and build data infrastructure, including ML pipelines and supporting infrastructure. Lead end-to-end data projects and solve integration challenges with structured and unstructured data.