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our company Security is one of the main pillars of our company's long-term strategy. We are pushing the boundaries of security analysis for both binaries and code, shifting left and delivering powerful capabilities to developers and DevOps teams. We are looking for an experienced Senior Database Engineer with deep PostgreSQL expertise and strong application-side awareness to join our DevOps organization and support multiple R&D teams at scale.
As a Senior Database Engineer at our company Security you will
Own PostgreSQL performance, scalability, and reliability across large-scale security and scanning workloads
Deep dive into database performance issues, including query optimization, execution plans, indexing strategies, locking, bloat, vacuuming, and connection management
Work closely with application teams to optimize database access patterns from services and APIs
Review application code and SQL usage with a focus on correctness, performance, and scalability
Design, evolve, and optimize schemas and migrations for long-lived, high-volume datasets
Support and fine-tune PostgreSQL in both cloud-managed environments, such as RDS and self-managed deployments
Establish best practices, standards, and guidelines for PostgreSQL usage across teams
Mentor engineers and raise the overall database maturity of the organization
Act as a trusted expert for troubleshooting complex production database incidents.

DRS RADA is a leading defense high-tech company specializing in radar systems development. We are seeking an experienced Data Engineer to join our data engineering team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and infrastructure to support our AI department. This is an opportunity to work with cutting-edge technologies in a fast-paced production environment, driving impactful, data-driven solutions for the business. Key Responsibilities:
* Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
* Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow, and Azure services.
* Troubleshoot and optimize queries and jobs for performance improvements.
* Implement best practices for data governance, security, and monitoring.
* Stay updated with industry trends and emerging technologies in data engineering. If you're passionate about building scalable data solutions and thrive in a fast-paced environment, we’d love to hear from you!

We are looking for a talented and experienced Data QA Engineer to join our data team. In this role, you will be responsible for ensuring the quality of the data we collect from websites. You will work closely with the development team, data analysts, Project Managers etc. to ensure that the data meets the highest standards of accuracy, integrity, and consistency.
Responsibilities
Planning, developing, and executing comprehensive test scenarios for data clients, that are based on public Web data:
Designing tests for client data needs, based on manual and automated methods
Performing manual and automated testing of data - integrity, accuracy etc.
Leveraging SQL to retrieve and analyze data from various databases
Documenting and tracking bugs and data quality issues
Analyzing large data sets to identify trends, anomalies, and potential problems
Communicating test findings clearly and effectively to various stakeholders
Defining QA standards and tools for partners developing data scrapers or performing basic QA testing for data:
Designing tests for different types of data being collected online
Building automated tests where relevant
Documenting methods and tools
Training the partners as needed
Validating the partner QA effectiveness
Developing and maintaining automated testing tools and scripts
Working closely with team members to ensure that the QA meets business and technical requirements
Staying updated with new testing technologies and methodologies.