It starts with you - an engineer driven to operate database systems at the highest level of reliability and performance. You care about query latency, uptime, data durability, and getting paged as little as possible. Youll operate, tune, and scale the database engines that serve the platform - from PostgreSQL to Elasticsearch, Redis to vector databases, across cloud and on-prem environments.
If you want to run the databases that power mission-critical AI at national scale, join our companys mission - this role is for you.
The Responsibilities
Operate and maintain database systems - PostgreSQL, Elasticsearch, Redis, MongoDB, vector databases, and others across cloud and on-prem.
Own database reliability - high availability configurations, replication, failover automation, and SLA adherence.
Drive performance tuning - query optimization, index design, configuration tuning, and resource profiling to meet latency and throughput targets.
Execute operational procedures - backup/recovery, disaster recovery testing, upgrades, migrations, and capacity scaling.
Lead incident response for database issues - troubleshooting production problems, root cause analysis, and implementing preventive measures.
Build monitoring and alerting - dashboards, metrics collection, slow query analysis, and proactive capacity alerts.
Enable new capabilities - deploying and tuning vector databases for AI workloads, evaluating new database technologies.
Collaborate with Data Platform, Data Engineering, Engineering, and Security teams on database operations and best practices.
Uphold database SLAs that support retrieval paths, feature stores, and embedding durability; coordinate safe schema evolution, partitioning, and replay/backfill practices.
Expose catalog and lineage signals - ownership, change history, and impact analysis - to improve trust and safe consumption for downstream users.
Collaborate with Data Platform, Data Engineering, Engineering, Security, Product, AI/ML, Data Science, and Analytics to balance performance, durability, and evolution across workloads.

It starts with you - a technical leader whos passionate about database systems and growing high-performing teams. You care about query performance, uptime, data durability, and operational excellence. Youll lead the Datastores team in operating, tuning, and scaling the database engines that serve the platform - from PostgreSQL to Elasticsearch, Redis to vector databases, across cloud and on-prem environments.
If you want to lead a team that keeps the database engines running for mission-critical AI systems, join our companys mission - this role is for you.
The Responsibilities
Lead and grow the Datastores team - hiring, mentoring, and developing engineers while fostering a culture of operational excellence.
Own database reliability and availability - ensuring systems meet demanding SLAs for government and national-scale customers.
Drive performance tuning and optimization - query analysis, index strategies, configuration tuning, and resource optimization across all database engines.
Establish operational practices - backup/recovery procedures, disaster recovery, replication strategies, and failover automation.
Plan and execute capacity management - monitoring growth, forecasting needs, and scaling databases ahead of demand.
Lead incident response for database issues - troubleshooting, resolution, and post-incident improvements.
Enable new capabilities - evaluating, deploying, and operating new database technologies including vector databases for AI workloads.
Partner with Data Platform, Data Engineering, Engineering, and Security teams to align database operations with platform needs.
Define and uphold database SLAs that support retrieval paths, feature stores, and embedding durability; coordinate on schema evolution, partitioning, and safe replay/backfills.
Integrate with catalog and lineage systems - surfacing ownership, change history, and impact analysis for critical datasets and collections.
Collaborate with Data Platform, Data Engineering, Engineering, Security, Product, AI/ML, Data Science, and Analytics to prioritize performance, durability, and evolution of data stores across workloads.

we are looking for a Staff Engineer.
As a Staff Engineer, you will serve as the technical anchor for a critical business domain. Your mission is to look beyond the immediate sprint and shape the long-term architectural vision that allows our product to scale, evolve, and deliver massive value.
You will operate at the intersection of Business Strategy and Deep Tech. You wont just be senior support; you will be a strategic partner to Product Leadership, defining how we solve our biggest problems. You will act as a Force Multiplier-tackling the most complex cross-team challenges while simultaneously elevating the skills, velocity, and quality of every engineer around you.
Key Responsibilities:
Own the Technical Vision: Define and drive the architectural roadmap for your product domain. You will anticipate scaling bottlenecks, design resilient distributed systems, and ensure our tech stack supports the next 10x of business growth.
Solve the Hard Problems: Tackle complex, cross-cutting technical challenges that span multiple teams or services-whether its migrating a legacy monolith, optimizing high-throughput data pipelines, or defining new API standards.
Be a Force Multiplier: Mentor Senior Engineers and Tech Leads, helping them grow into the next generation of leaders. You will introduce engineering patterns, tools, and practices that make the entire organization faster and safer.
Partner with Product: Work directly with Directors and VPs of Product to validate feasibility early in the discovery phase. You will translate ambitious business goals into pragmatic technical strategies.
Remain Hands-On: While you lead strategy, you are still a builder. You will code the critical paths, prototype complex solutions, and set the standard for code quality and review.

We are looking for a talented Full Stack Engineer to join our growing web application engineering team. This is a unique opportunity to join a high-performing, tech-driven environment where you will influence architecture, shape new features, and contribute to building a robust, scalable platform.
In this role, you will work across the stack - designing and developing end-to-end features, improving system performance, and helping build an engineering culture that emphasizes quality, reliability, and clean code. You will collaborate closely with our Product, Data, and AI teams to build innovative, AI-driven capabilities that power the next generation of creative intelligence.
As part of a fast-moving startup and an industry leader, your contributions will directly impact our product evolution and customer experience.
Key responsibilities:
Design, develop, and own fullstack features end-to-end, from planning to deployment and monitoring.
Contribute to architectural decisions and help build scalable, maintainable systems.
Write clean, testable, and well-documented code while upholding high standards across the team.
Diagnose, debug, and resolve complex issues while continuously improving platform reliability.
Collaborate closely with cross-functional teams (Product, Data, AI) to deliver high-impact solutions.
Participate in code reviews, knowledge sharing, and ongoing improvements to development workflows.
Stay up to date with modern technologies and bring fresh ideas to improve efficiency, tools, and developer experience.

Were seeking an experienced and skilled Data and AI Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

We are looking for a Business Application Engineer to join our fast-growing team. In this role, you will build the internal systems, automations, and integrations that power the companys analytical and operational workflows. You will play a key part in enabling our teams to move faster, make better decisions, and scale their impact - all while contributing to a mission that improves the lives of millions.
If you are highly motivated, detail-oriented, and eager to leverage technology to solve real problems, this role is for you. Youre a team player, open-minded and collaborative, and you know how to turn ideas into working solutions. You embrace ownership, move quickly, and are excited to help shape the systems that drive us forward.
Responsibilities:
Design, build, and maintain internal tools, automations, and integrations that streamline workflows across data, legal, and operational teams.
Collaborate closely with analysts, product stakeholders, and legal data teams to understand their needs and translate them into scalable technical solutions.
Ensure system reliability, data integrity, and smooth information flow across internal platforms and APIs.
Develop backend logic and automation scripts that support high-quality, efficient internal applications.
Leverage AI tools and advanced prompting techniques to enhance automation, enrichment, and user experience.
Document system behavior, maintain internal tooling standards, and continuously improve performance, stability, and usability.
Stay up to date with emerging internal tools frameworks, automation practices, and AI-driven development approaches to keep us operating at the cutting edge.

We are looking for a Senior SecOps Engineer to enhance our security operations and ensure robust protection against sophisticated threats. This role is crucial for maintaining our Security Operations as a high-performing and resilient hub that can quickly adapt to emerging security challenges in the fintech industry. You will take the lead in refining our SOC capabilities by monitoring network traffic, automating processes, analyzing security incidents, managing security tools, and providing expertise to SOC analysts, without having direct management responsibilities.

The Senior SOC Engineer collaborates with cross-functional teams to build defenses, respond to incidents, and design strategies for robust cybersecurity posture.

What you will be doing:
Drive SOC workflow automation using SOAR, and oversee the full lifecycle management (deployment, tuning, operation) of core security tools like EDR aiming to increase automation coverage and consistency.
Lead Cloud Security Monitoring, including managing AWS security logs via SIEM and working with the CSPM team for proactive cloud defense.
Perform continuous Security Monitoring and Threat Detection, building custom queries and dashboards to enhance visibility across platforms.
Develop and execute Proactive Threat Hunting procedures to identify potential risks.
Enhance and coordinate the Incident Response process, working with cross-functional teams through containment, eradication, and post-incident analysis.
Collaborate with third-party vendors for managed security services and specialized tools.

we are looking for a Backend Developer, which is both hands-on and an ace problem solver to join our amazing DeepUI group. We are developing revolutionary runtime engine and transforming the online experience for hundreds of millions of users. Our proprietary AI-based technology is bringing the world's leading digital adoption platform to the next level by understanding and interacting in real time with graphical user interfaces at a human level. We are looking for people who are passionate about leading technology to the extreme. If you are striving to develop an innovative product, make an impact, and work with the industrys brightest talent as part of one of the fastest-growing and successful startups around - where you want to be.
What will you actually be doing?
Design and build the latest back-end solutions to the exciting and rapidly evolving domain of GUI perception
Develop and maintain complex backend cloud services and infrastructure, across multiple regions.
Design architecture for new services and implement through to production.
Implement and own end to end solutions that will scale to millions of users.
Participate in fast-paced research while running in production. A very rare and exciting combination.
Help build engineering culture.
End to end development of features and systems that are used daily by key stakeholders, both internally and externally.

Join our fast growing team, and help put the power of automation in the hands of every security professional.
About the role:
As a Senior Backend Engineer , you will play a pivotal role in shaping the architecture and evolution of our backend services. You'll work in a dynamic, collaborative environment where innovation and creativity are encouraged.
*Please note that this position is located in Israel
What you'll be doing:
Architect, develop, and test cloud-native microservices, ensuring they meet our high standards of scalability and reliability.
Deeply engage with a range of tech stacks, showcasing your expertise beyond a single framework, particularly in cloud services, Linux, and containerized environments like Kubernetes and Docker.
Enhance our platform's core workflow engine, contributing to the development of enterprise-level applications and services that set apart in the market.
Collaborate closely with cross-functional teams, including sales and customer success, to ensure our solutions are perfectly tailored to customer needs.
Grow a culture of continuous learning and improvement, mentoring team members and guiding their professional development.
Lead best practices in observability by implementing effective logging, metrics, and tracing systems.
Design and build systems with security at the forefront, understanding and applying key security concepts to protect our customers and their data.

We are looking for an ambitious Production Analyst, who wants to make a strong impact by implementing detailed investment policy configurations (Python) and performing comprehensive quality checks, ensuring that the policy delivers the required portfolio KPIs.The Analysts conduct various analyses projects, highly influencing the business aspects of the company. You should be comfortable working quickly and handling a busy workload, demonstrate meticulous attention to detail and critical thinking while collaborating effectively with both highly technical teams and executive stakeholders.
This individual will join the Portfolio Management & Research department, and will be part of a team that has both data scientists and data analysts, focusing on the company's main credit products and working closely with the production environment.
Responsibilities:
Managing and implementing (Python) underwriting policies in the production environment.
Perform quality analytics checks to ensure the policy logic meets the defined requirements (Portfolio KPIs) and works correctly in all scenarios, with a direct impact on the overall performance and outcomes of the portfolio.
Conducting tests to evaluate each component of the policy configuration to validate the results.
Monitoring of the policy behavior in production and analyze if the actual results meet the expectations.
Demonstrate the ability to present and provide meaningful business insights from data.
Perform ad-hoc analysis to support business decisions.
Create innovative & interactive dashboards, scorecards, and weekly/monthly reports on the status of key business measurements tailored to all audiences (from executive management to business line employees) using BI tools, Python and SQL queries.