דרושים » תוכנה » DBA SQL Server

Interactive, an international online lottery software and service provider, is the leading developer and provider of global e-Instant win games for the lottery industry.
We are seeking a quality and experienced MS SQL Server DBA Production team leader infrastructure and applicative.
The DBA team leader will be responsible for all DB aspects in the production environments.

Responsibilities:
Manage a DBA Production team, manage tasks, and set priorities.
Provide consultation on SQL Server for System Architects, Security Officers, Development DBAs, Tribes, and Product Owners.
Responsible for new teams employees' onboarding and training, and for the ongoing training and learning of the team
Responsible for the team off hours response to critical issues on production.
Perform as a production DBA.

Production DBA:
Performs performance tuning, Query optimization, database installations, configurations, updates, backups and monitoring.
Provide support for multiple environments development, test and production.
Anticipates, mitigates, identifies, responds and resolves problems affecting database performance, efficiency, and availability.
Improve and support processes to ensure zero application downtime on critical issues or during DB deployment of new application releases.
Work according to documentation, guidelines and policies of working procedures.
Clearly communicates problems and resolution process to customers and/or management.
Demonstrates dedication to outstanding customer service by continuously striving to deliver the highest level of customer service; makes recommendations for improving service and efficiencies.
Work according to documentation, guidelines and policies of working procedures.
Provide support for the operation teams 24/7 on call in off work hours only for critical issues (one week a month).
Maintains database security in compliance with APEI policies, GDPR and PCI security standards.

Realize your potential by joining the leading performance-driven advertising company!
As a Data Performance Engineer on the IT production team in our TLV Office, youll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary our company is the place for you.
How Youll Make An Impact, As a Data Performance Engineer , youll bring value by:
Advise on the optimal database design by analyzing application behavior and business requirements
Design data flow processes
Work with AI at scale on developing high impact solutions
Proactively monitor and optimize database queries, processes, tables and resources
Initiate and lead cross-group optimization processes
Write utilities and design dashboards that will help us maintain, monitor and optimize the company production database environment and data pipeline
Develop automation tools for large cluster maintenance
Face challenges such as scale, visibility and automation
Be involved in both development and infrastructure projects.

Realize your potential by joining the leading performance-driven advertising company!
As a Data Infra Engineer on the IT production team in our TLV Office, youll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary company is the place for you.
How Youll Make An Impact, As a Data Infra Engineer , youll bring value by:
Advise on the optimal database design by analyzing application behavior and business requirements
Design data flow processes
Work with AI at scale on developing high impact solutions
Proactively monitor and optimize database queries, processes, tables and resources
Initiate and lead cross-group optimization processes
Write utilities and design dashboards that will help us maintain, monitor and optimize the company production database environment and data pipeline
Develop automation tools for large cluster maintenance
Face challenges such as scale, visibility and automation
Be involved in both development and infrastructure projects.

Responsibilities:
Manage Relational and NoSQL DBMS through multiple product lifecycle environments, from development to mission-critical production systems.
Configure and maintain database servers and load balancers, including monitoring of system health and performance, to ensure high levels of performance, availability, and security.
Be a part of on-call incident escalations, analyze, solve, and correct issues in real-time, providing problem resolution end-to-end.
Refine and automate regular processes, track issues, and document changes.
Assist developers with complex query tuning and schema refinement.
Perform scheduled maintenance and support release deployment activities.
Support for data migration between different DBMS.
On-call duty.

Realize your potential by joining the leading performance-driven advertising company!
As a DBA on the IT production team in our TLV Office, youll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary we are the place for you.
How Youll Make An Impact, As a Data Engineer , youll bring value by:
Advise on the optimal database design by analyzing application behavior and business requirements
Design data flow processes
Work with AI at scale on developing high impact solutions
Proactively monitor and optimize database queries, processes, tables and resources
Initiate and lead cross-group optimization processes
Write utilities and design dashboards that will help us maintain, monitor and optimize the company production database environment and data pipeline
Develop automation tools for large cluster maintenance
Face challenges such as scale, visibility and automation
Be involved in both development and infrastructure projects.

We are looking for a hands-on, proactive DBA to join our growing SASE R&D DevOps group. As our dedicated Database Administrator, you will own the operational and performance aspects of our database stack and work closely with R&D engineers, SREs, and QA to ensure our data layer is resilient, efficient, secure, and scales with our business.
This is not a siloed infrastructure-only role - you will partner deeply with developers from design to production, provide input on data modeling and query optimization, and ensure best practices across the board, from schema design to observability, disaster recovery, and upgrades.
We are in a period of hyper-growth - both in terms of customer adoption and engineering scale. This brings exciting challenges in performance, scalability, cost-efficiency, and reliability. Youll play a key role in shaping how our data infrastructure supports this scale and future-proofs our platform.
Why Join Us
Be a core player in our hyper-growth journey - influencing how we scale our platform to support growing enterprise demand.
Collaborate with a top-tier R&D team building a modern, cloud-native SASE platform.
Take real ownership of mission-critical systems in an environment that values technical excellence and impact.
Key Responsibilities
Own and operate production and pre-production databases, including:
MongoDB (Atlas)
Redis (AWS ElastiCache Valkey)
RabbitMQ (EC2-based cluster)
Additional databases as our platform evolves
Work closely with developers to optimize data models, indexes, and queries across the SDLC (design, QA, staging, production).
Partner with SREs to ensure high availability (99.99% uptime), disaster recovery, monitoring, and performance tuning.
Plan and execute schema changes, index strategies, and database version upgrades with zero or minimal downtime.
Set up and enforce backup, restore, and retention policies aligned with compliance and availability needs.
Implement and maintain observability tools and alerting for the data infrastructure.
Lead cost optimization of all data services rightsizing, usage analysis, cleanup, and architecture alignment.
Troubleshoot and resolve data-related incidents; participate in on-call rotations and post-mortems as needed.

Realize your potential by joining the leading performance-driven advertising company!
As a Data Engineer on the IT production team in our TLV Office, youll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary company is the place for you.
How Youll Make An Impact, As a Data Engineer , youll bring value by:
Advise on the optimal database design by analyzing application behavior and business requirements
Design data flow processes
Work with AI at scale on developing high impact solutions
Proactively monitor and optimize database queries, processes, tables and resources
Initiate and lead cross-group optimization processes
Write utilities and design dashboards that will help us maintain, monitor and optimize the company production database environment and data pipeline
Develop automation tools for large cluster maintenance
Face challenges such as scale, visibility and automation
Be involved in both development and infrastructure projects.

We are seeking a talented Full Stack Developer with strong expertise in Python and SQL to join our dynamic team. The ideal candidate will have substantial backend and data engineering experience, with the capability and willingness to support and develop features across the entire stack.
Responsibilities:
Develop, enhance, and maintain backend systems, particularly focusing on Python-based services and advanced SQL queries.
Handle extensive data engineering tasks, including translating Python analytics into optimized Snowflake SQL queries.
Support end-to-end feature delivery, contributing both backend and frontend development as required.
Ensure high-quality coding practices, efficient troubleshooting, and proactive improvement of platform components.
Actively participate in the teams agile practices, contributing to architecture decisions and overall technical direction.

Realize your potential by joining the leading performance-driven advertising company!
As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff Algo Data Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

we are seeking a strategic and data-driven Business Data Analyst to join our team!
In this role, you will play a key part in analyzing business performance, customer acquisition, and go-to-market strategies.
You will explore various data sources, develop key performance metrics, and identify opportunities to optimize our market penetration and customer engagement initiatives. Your insights will support strategic decision-making and help drive growth across marketing functions.
You will leverage your analytical expertise to deliver actionable insights that influence our business strategies and performance.
Responsibilities:
Develop a deep understanding of data models related to customer acquisition, marketing funnel, new products launches, revenue, and overall business performance.
Design and implement new data models, KPIs, and predictive analytics to support go-to-market and strategic initiatives.
Build, maintain, and monitor reports, dashboards, and metrics to track business health and growth targets.
Analyze data to identify trends, opportunities, and risks across customer segments and market channels.
Communicate insights and strategic recommendations to executive leadership and cross-functional teams.
Collaborate with stakeholders to align data initiatives with business objectives and become a trusted analytics partner.