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In this role, you will be responsible for architecting and maintaining scalable, secure, and highly available environments across AWS and on-premises infrastructure. You will drive automation initiatives, improve CI/CD processes, enhance system reliability, and support engineering teams in delivering production-ready solutions. The ideal candidate is an AWS expert with deep Kubernetes experience, strong infrastructure automation skills, and a passion for operational excellence.
Responsibilities
Design, implement, and maintain scalable, secure, and highly available AWS and hybrid infrastructure
Build, manage, and optimize Kubernetes platforms and containerized workloads
Develop and maintain Infrastructure as Code (IaC) using Terraform
Build and optimize CI/CD pipelines using GitHub Actions, Jenkins, and related technologies
Drive automation initiatives to improve reliability, scalability, and operational efficiency
Monitor, troubleshoot, and resolve production issues while implementing observability solutions
Collaborate with development, security, and customer-facing teams to improve deployment and operational processes

The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Develop data architecture for data ingestion, validation, and processing.
Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
Create and maintain optimal data pipeline architecture using microservices.
Work with other members of the data team, including data architects, data analysts, and data scientists.
Key Takeaways
Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
Be around very bright and lovely people.
Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
Provide education and documentation to empower team members to make the most of technical resources.
Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
Collaborate on data infrastructure that supports LLM-driven workflows - leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

About the Role & Responsibilities
Drive the technical vision for Hive Team - We're building high-leverage internal platforms that power our companys decisioning and analytics.
Lead complex, cross-functional technical projects from inception to implementation, ensuring alignment with architectural standards and best practices.
Mentor and guide engineers to foster technical excellence, while partnering with product, engineering, research, and ops to translate complex requirements into scalable, reliable systems.
Establish and champion engineering best practices, high coding standards and a winning professional culture, within our team and across the engineering organization.

About the Role & Responsibilities
Build high-leverage internal platforms that power our companys decisioning and analytics.
Lead technical projects end-to-end, covering all stages from architecture to execution.
Own your work: partner closely with research, product, engineering and ops to turn complex requirements into simple, reliable systems.
Be a technical leader for our infrastructure and products.

We are looking for an ambitious and motivated Assistant Controller, to be responsible for:
Assist in the preparation and analysis of financial statements, ensuring accuracy, compliance with accounting standards, and adherence to regulatory requirements.
Perform financial valuation analysis on our companys assets and instruments, and communicate insights to partners and senior management across the company.
Help manage the month-end and year-end close processes, including reconciliations, journal entries, and accruals.
Collaborate with cross-functional teams to develop and monitor financial budgets and forecasts.
Corporate accounting - monthly, quarterly, and annual closing processes
Work closely with bookkeepers and controllers. Support and advise them on accounting and tax- related matters.
Enforcement of companys policies, procedures, and SOX
Projects oriented and improving processes.

We are looking for an IT Support Engineer to join our TLV team. The hire will be responsible for providing and supporting IT equipment and services to all employees in the TLV office. This opportunity presents the chance to practice modern IT Ops processes and technologies in a controlled financial services environment.
Responsibilities
Provide on-site IT support at our TLV and remote support for our company TLV employees
troubleshooting platforms such as Okta, Google Workspace, Slack, MDM, and other tools.
Create and update IT documentation, including technical guides and user-facing materials.
Act as an advocate for end-users, proactively identifying and resolving IT bottlenecks to enhance productivity.
Manage IT assets (ITAM), including desk setups, printer maintenance, and AV equipment to ensure seamless Town Hall and company events.
Support and maintain Zoom Rooms, ensuring optimal video conferencing performance.
Assist with user lifecycle management, provisioning/deprovisioning accounts, and managing role-based access controls.

As the AI Solution Manager you will be the primary technical executor of the organizations AI transformation. This is a critical role within our AI Squad who map opportunities and execute end-to-end solutions that drive a measurable competitive advantage. You are the "hands-on" specialist responsible for the delivery, integration, and adoption of AI tools across all departments. This role requires a high degree of technical literacy regarding infrastructure and integrations, combined with a proven track record in large-scale system implementation.
Responsibilities
Own the technical rollout of AI tools, from initial configuration and API integrations to cluster management and full-scale production deployment.
Architect and build complex automated workflows that bridge the gap between AI products and internal organizational systems, ensuring reliability and scalability.
Manage the technical environment requirements for AI tools, including the setup and maintenance of clusters and the coordination of the underlying system architecture.
Act as the primary technical point of contact for departments during the implementation phase, translating business requirements into precise technical configurations and workflows.
Establish performance metrics for implemented tools, monitoring adoption and technical efficiency to ensure maximum organizational impact.