דרושים » תוכנה » DBA SQL Server

A professional database administrator (DBA) to maintain the customers databases up and running 24/7/365. This role will be part of the Professional Service team to identify, develop and support solutions to improve application availability.
Principal Duties and Responsibilities:
Assessment of current applications infrastructure architecture. Identify solutions to improve application availability and stabilize applications to improve customer experience.
Enhance operational efficiencies and effectiveness via tools, scripts, workflow, technology, and process improvements.
Technical lead and Tier 3-4 support for critical aevailability issues. Helps troubleshoot complx technical problems and provides operational crisis management.

our cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. we're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data Storage, security, artificial intelligence, Natural Language Processing, UI design and mobile; the list goes on and is growing every day. as a software engineer, you will work on a specific project critical to our cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. you will anticipate our customer needs and be empowered to act like an owner, take action and innovate. we need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the Full-Stack as we continue to push technology forward.
database migration service (dms) is the gateway to customers' data migration to our cloud. it is the tool to understand their database migration path, perform migrations quickly and easily with maximum fidelity and minimal downtime, and validate the success of their process so they can keep the business moving.seamless database migration to the cloud is viewed as a strategic effort and is absolutely critical for continuous growth of our cloud and as such dms is critical for our cloud's overall success.our cloud accelerates every organizations ability to digitally transform its business and industry. we deliver enterprise-grade solutions that leverage cutting-edge technology, and tools that help developers build more sustainably. customers in more than 200 countries and territories turn to our cloud as their trusted partner to enable growth and solve their most critical business problems.
responsibilities
build and extend the sql service and engine development.
analyze sql problems and develop solutions including new engine improvements such as new semantic parsers, transformers, and emitters.
be part of a highly innovative team working on generative ai efforts across dms team.
provide architecture guidance and principals for junior engineers as we evolve quickly in a very dynamic, and organizational environment.
partner with technical leadership in related organizations to chart a shared path forward that balances both the short and long-term needs, ensuring reliable and flexible system foundations.

We are looking for a professional and enthusiastic BI Developer to join our team!
Job Id: 25366
The BI Developer will be responsible for defining and building our data pipelines and analytics infrastructure. You will work closely with product managers, R&D engineers, and business stakeholders to support new initiatives and proactively improve our data solutions and AI agents. You will help create and manage data processes for actionable insights and operational needs.
If you are passionate about data modeling and data processing, with excellent visualization and analytical skills, this job is for you.
Key Responsibilities
As a BI Developer, you will be responsible for:
End-to-End Solutions: Design, build, and maintain easy-to-use data solutions. This includes orchestration, data modeling, dashboards, building data agents, monitoring, alerting, and experimentation models.
AI Integration: Actively use AI tools to accelerate development-from writing optimized SQL and automating repetitive tasks to building intelligent agents.
Collaboration: Work effectively with cross-department stakeholders to capture analytical requirements and translate them into technical reality.
Insights: Analyze complex datasets to provide useful, actionable recommendations that drive business value.

We're seeking a Senior Security Researcher & Team Lead to own and drive security research domain from the ground up. This is a leadership-first role - you'll build and guide a research team, define a new frontier in AI and agentic security, and shape the methodologies and standards that don't yet exist in the industry. If you thrive in ambiguity, love creating structure where there is none, and want to leave a real mark on an emerging security domain, this role is for you.
You'll investigate emerging attack surfaces, architect and implement detection mechanisms, and validate your findings in production environments protecting Fortune 500 customers. It's a high-ownership position that blends deep technical research with strategic thinking and team leadership - with a real sense of urgency to shape the AI security landscape not just, but for the entire security community.
Responsibilities:
Lead and mentor a security research team, driving vulnerability and threat research that generates product value and protects Fortune 500 customers in production environments.
Take end-to-end ownership of detection mechanism design for agentic AI applications - from initial hypothesis through experimentation to production-grade implementation.
Apply expertise across cloud, identity, web, and API security to map and address the evolving AI threat landscape.
Apply LLMs, Agentic AI, and machine learning models to detect security vulnerabilities.
Collaborate closely with engineering and product teams to translate research into actionable, shippable security capabilities.

Were looking for a Senior Data Engineer to own high-impact data products from architecture through production deployment, monitoring, and continuous improvement. This isnt a pure infrastructure role - youll combine strong engineering with product thinking, operational excellence, and awareness of data quality, cost, and business impact.
You will design, implement, test, deploy, and maintain production-grade data products - pipelines, transformation layers, data quality and reliability systems - using tools like DBT (on Spark) and Databricks. Youll apply best practices in Python and SQL to build scalable and maintainable data transformations, and leverage technologies like LLMs and GenAI to create innovative solutions for real business problems.
This role is ideal for someone who wants technical leadership responsibilities in an AI-first engineering culture - we use LLMs, GenAI, and AI-native development tools as core parts of our daily workflow.
Key Responsibilities:
Act as a technical leader within the team - raise engineering standards, drive strong architectural choices, and improve how we build
Own data products end-to-end: design, development, deployment, monitoring, and iteration
Work closely with senior leadership to translate strategic goals into scalable data solutions
Develop and maintain production ETL/ELT pipelines using DBT (on Spark) and orchestrated workflows in Databricks
Build monitoring, alerting, and testing pipelines to ensure reliability and performance in production
Evaluate and introduce new technologies - including AI-native development tools - and integrate the ones that create real impact
Collaborate with customers and external data providers - gathering requirements and making product decisions.
Mentor team members through code reviews, pairing, and knowledge sharing

We are looking for an experienced and hands-on Data Engineer to lead the migration of enterprise data platforms to Google Cloud Platform (GCP).
In this role, you will design, build and maintain scalable ETL/ELT pipelines, develop advanced data models in BigQuery and contribute to the creation of a high-performance, reliable and cost-efficient data architecture.
You will work closely with analysts, data scientists and engineers and have real impact on how data is consumed across the organization.
What You Will Do:
Lead the migration of data from on-premise core systems to Google Cloud Platform (GCP).
Design and develop processed data layers (Silver and Gold) and data marts in BigQuery, including complex business logic.
Build, orchestrate and maintain data pipelines using Cloud Composer / Apache Airflow.
Develop robust data transformations, including cleansing, enrichment and data quality improvements.
Write efficient and optimized SQL queries in BigQuery with strong focus on performance and cost.
Create and maintain clear and up-to-date technical documentation for data architecture and processes.

We are looking for a Backend Engineer to join our Data Science team.

In this role, you will partner directly with Data Scientists to transition research prototypes into efficient, production-ready microservices. You will collaborate with a broad forum of experts including architects, data engineers, and product managers, to deliver high-quality technical solutions that drive our product forward.

Responsibilities
Model Tech-Transfer: Transition research prototypes (from Data Scientists) into efficient, production-ready microservices.
Pipeline Management: Build and maintain automated pipelines for data collection, model training, and deployment (using Jenkins & Airflow).
Infrastructure Ownership: Deploy, tune, and manage AWS cloud resources (EC2, S3, ElastiCache) for low latency and high availability.
Monitoring and Evaluation: Implement monitoring for model performance (accuracy, statistical calibration) and Business Performance (adherence with company KPI, business impact).
Quality Assurance: Write robust unit tests and optimise code for performance.

As a Data Analyst you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep a data driven company.
You will play a key role in the ability of each team at to keep scaling!

We're seeking an outstanding and passionate Data Platform Engineer to join our growing R&D team.

You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping Finaloop's data infrastructure at the forefront of Fintech and AI.

What you'll do:

Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform.

Develop and optimize data infrastructure to support real-time analytics and reporting.

Implement data governance, security, and privacy controls to ensure data quality and compliance.

Create and maintain documentation for data platforms and processes.

Collaborate with data scientists and analysts to deliver actionable insights to our customers.

Troubleshoot and resolve data infrastructure issues efficiently.

Monitor system performance and implement optimizations.

Stay current with emerging technologies and implement innovative solutions.