DevOps Engineer (Data Platform)

Location: Remote, Israel; position listed in Tel Aviv-Yafo, Tel Aviv District

Company

hirify.global develops behavioral biometrics technology using machine learning to analyze digital behavior and help financial institutions prevent fraud and support digital transformation.

What you will do

• Provide strategic direction for data architecture, select appropriate components, and make final system design and implementation decisions.
• Manage the end-to-end delivery and maintenance of high-performance, large-scale data-driven projects.
• Monitor and optimize cloud costs across data infrastructure and processes.
• Design and build monitoring tools for the efficiency, reliability, and performance of data systems and processes.
• Implement DevOps practices covering infrastructure automation, CI/CD pipelines, containerization, orchestration, and infrastructure as code.

Requirements

• 5+ years of experience as a DevOps professional focused on big data environments, or as a Data Engineer with strong DevOps skills.
• Experience managing and designing data infrastructure components such as Snowflake, PostgreSQL, Kafka, Aerospike, and object stores.
• Experience creating, establishing, and managing big data tools and automation tasks.
• Extensive knowledge of DevOps concepts and tools, including Docker, Kubernetes, Terraform, ArgoCD, Linux, networking, load balancing, and Nginx.
• Proficiency in Python, object-oriented programming, and big data processing such as PySpark.
• Experience with Bash and Shell scripting for automation.
• Hands-on experience with Azure, Google Cloud, or AWS.

Nice to have

• Experience optimizing the performance of big data tools and pipelines.
• Experience identifying and addressing security vulnerabilities in data platforms.
• Experience designing, implementing, and maintaining CI/CD pipelines.
• Experience building big data pipelines.

Culture & Benefits

• Remote workplace arrangement.
• Full-time role in Technology Operations Israel.
• Core technology stack includes Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, microservices, Bash, Python, and SQL.