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we are on the lookout for a dynamic DevOps Engineer - a role for someone with the word agility tattooed behind their eyelids. This role is the link between development and deployment, highlighting the ability to think like an engineer and function as an operations professional. Dynamic Yield is committed to quality products and timely delivery cycles. Merging those two is the mission for our high-quality DevOps Engineer.
Were looking for someone who has the customer in mind, in terms of deployment frequency, dependable releases, and in close alignment with business objectives. The goal is to reduce the time between committing changes, updates, and product launches in normal production while maintaining the highest standards possible.
Role
Provisioning, managing and improving our AWS cloud infrastructure - EKS/Kubernetes clusters, EC2 instances, CloudFront, Serverless apps & more
Design, build, and maintain CI/CD pipelines, using code, configuration, build, deploy, and monitoring tools
Troubleshoot large applications - You need to know what to do when something complex breaks down
Code OK- We don't just operate tools, we build new tools too
Work closely with developers in design and supporting new features, services and troubleshoot problems
Apply, integrate and improve open source tools to extend operations capabilities and efficiency
Find your way around the HTTP/TCP stack
R-264013

we are looking for a Senior DevOps.
As part of R&D team, the candidate will contribute to following processes:
Manage, design, develop and support all CI-CD related infrastructures.
Automate processes following continuous integration, deployment, and delivery.
Create & Maintain application installers (Windows/Linux)
Improve and support Git workflows.
Research and integrate new technologies into the R&D stack.

we are seeking a hands-on, experienced IT Manager to join our team! In this role, you will provide subject-matter expertise in global IT, collaborating closely with all company teams and functions to support the business, resolve issues, maintain and update software and hardware assets, and drive continuous improvements to our IT infrastructure.
What You'll Do:
Role Overview
● Act as the sole IT business partner and the go-to expert for all IT-related matters.
● Provide day-to-day technical support for employees across various enterprise systems.
IT Operations & Support
● Manage, set up, install, and maintain corporate networks, operating systems, and software.
● Provide technical support and handle escalations efficiently.
● Perform preventive maintenance, auditing, and troubleshooting of ongoing malfunctions.
● Respond and investigate information security incidents.
● Introduce IT service management principles and KPIs to enhance efficiency.
User Management & Access Control
● Manage user accounts, profiles, conduct periodic access reviews and handle user lifecycle processes: onboarding, offboarding, and access provisioning.
● Ensure security of user identity through Identity and Access Management (IAM) platforms, especially in Azure environments.assure SSO integration, identity federation protocols, and automated provisioning via Entra Workflows.
Security & Risk Management
● Ensure the security of data, network access, and backup systems.
● Maintain anti-virus software and other corporate security tools.
● Identify and treat IT risks, and implement robust access control policies.
Assets, Licensing & Procurement
● Procure hardware, software, and licenses as needed.
● Manage and track software licensing and hardware capacity.
● Monitor and optimize cloud infrastructure costs and usage efficiency.
Knowledge Management
● Manage and maintain company knowledge base platforms such as Confluence or Notion.

we are looking for a Business Program Manager.
As a Program Manager, youll be focused on driving operational excellence, leading complex, cross functional initiatives in a dynamic environment and continuously improving productivity across our product portfolio.
You will own the delivery of product roadmap across all products. Make sure key initiatives are planned well, delivered on time, and released with high quality. Work with Product, R&D, Delivery, CS, Marketing, and Sales to track progress, remove blockers, and keep everyone aligned.
Were looking for someone with a can-do approach and great interpersonal skills - someone who thrives on collaboration, cuts through complexity, and keeps things moving in a fast-paced environment.
you will do:
Drive the planning, execution, and delivery of high-impact programs across multiple teams.
Partner with product, engineering, marketing, and customer success to align on priorities and timelines
Build and maintain an integrated delivery plan for all products and major initiatives (quarterly + rolling 8-12 weeks), including milestones, dependencies, owners, and delivery confidence
Develop and maintain program roadmaps, tracking milestones and key deliverables.
Identify inefficiencies and drive process improvements for speed, quality, and predictability.
Lead our release process, ensuring high‑quality releases on time and clear communication
Build a bug management model with clear severity definitions, SLAs, and forums
Create executive and org‑wide visibility with data

Requred Staff DevOps Engineer
Tel Aviv, Israel
Job Description
A technology platform solely focused on corporate Ground Transportation Management (GTM), a market worth over $90Bn globally. It is the GTM category leader, serving over a quarter of the Fortune 500 companies.
our cloud-based software aggregates existing transportation providers (corporate fleet, ride-hailing, taxi, and limos) into one single platform, helping businesses manage all of their ground transportation spend, saving time and money.
We are building the global grid of ground transportation, embracing the entire world, connecting the dots, similar to telephone and internet grids. We are inspired to become the standard in corporate ground transportation the same way as Zoom became the standard in corporate communication.
As a Staff DevOps Engineer, you will own production infrastructure across our cloud environments and work closely with platform, dev-infra and automation tests teams to drive operational excellence. You need to be ready to lead cross-team initiatives, proactively identify areas for optimization, and define scope both for yourself and the team.
You will be responsible for:
Keeping production stable and working, having a dedicated team as a first line of support
Improvement of existing CI/CD processes based on the feedback from product and infra teams
Improving the organization's FinOps posture.

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 mission - this role is for you.
: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.

It starts with you - a technical leader whos passionate about building resilient, automated infrastructure and growing high-performing teams. You care about operational excellence, developer experience, and enabling AI-driven teams to move fast with confidence. Youll lead the DevOps team in architecting and operating the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems.
If you want to lead a team that builds the infrastructure foundation for mission-critical AI systems, join mission - this role is for you.
:Responsibilities
Lead and grow the DevOps team - hiring, mentoring, and developing engineers while fostering a culture of ownership and continuous improvement.
Define compute and networking infrastructure strategy across cloud and on-prem environments; drive architectural decisions that balance reliability, security, cost, and velocity.
Own the platforms deployment, scaling, and operational posture - ensuring systems meet demanding SLAs for government and national-scale customers.
Build and evolve CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute, networking, and orchestration - ensuring reproducible, auditable, and version-controlled infrastructure across all environments.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Establish observability, alerting, and incident response practices that provide visibility into system health and enable fast recovery.
Partner with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure capabilities with platform needs.
Establish infrastructure characteristics (availability, latency, throughput) that enable data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Ship paved-road developer tooling - shared templates, CI/CD workflows for services, IaC modules for compute and networking, and runbooks - to standardize best practices across engineering teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to align infrastructure capabilities with evolving platform and data product needs.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
:Responsibilities
Design, build, and maintain scalable Kubernetes-based infrastructure for ML workloads across on-premise and cloud environments
Architect hybrid infrastructure solutions enabling seamless model flow from on-premise training environments to cloud-based inference deployments
Implement model registry and artifact management strategies that support cross-environment synchronization, versioning, and governance
Design secure, efficient data and model transfer mechanisms between on-premise and cloud (networking, storage replication, caching strategies)
Implement and manage GPU scheduling, resource allocation, and cluster autoscaling for heterogeneous compute environments
Build and maintain CI/CD pipelines for ML systems, including model versioning, testing, and promotion across environments
Develop observability solutions (logging, monitoring, alerting) for ML infrastructure across hybrid deployments
Collaborate with ML Engineers to define infrastructure requirements and SLAs for training and serving workloads

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 Dreams mission - this role is for you.
The Dream-Maker 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 - an engineer driven to build resilient, automated infrastructure that enables teams to move fast with confidence. You care about operational excellence, developer experience, and reliability at scale. Youll architect and operate the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems - across cloud and on-prem environments.
If you want to build infrastructure that powers mission-critical AI systems at national scale, join mission - this role is for you.
:Responsibilities
Architect and operate Kubernetes-based infrastructure across AWS and on-prem environments, ensuring high availability, security, and performance.
Design and maintain CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute and networking - building reproducible, auditable, and version-controlled infrastructure.
Own reliability and incident response - establish SLOs, build alerting systems, lead incident resolution, and drive post-incident improvements.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Build and maintain observability systems - metrics, logging, tracing, and dashboards that provide visibility into system health.
Optimize infrastructure cost and performance - right-size resources, implement auto-scaling, and identify efficiency opportunities.
Collaborate with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure with platform needs.
Shape infrastructure characteristics that support data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Contribute paved-road tooling - reusable CI/CD patterns for services, IaC modules for compute and networking, and runbooks - that streamline delivery across teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to anticipate and meet cross-functional needs.

we are seeking a skilled and adaptable Solution Architect to lead deep technical engagements during both pre-sales and post-sales phases. You will ensure seamless deployment, resolve complex technical issues, and deliver long-term value to customers through AI-powered cybersecurity platform.
This role also includes ownership of lab environments to simulate customer use cases, validate solutions, and support internal testing and demos-making it a key technical bridge between Product, Engineering, and Customer Success.
:Responsibilities
Build and maintain strong relationships with customers, serving as a trusted technical advisor to understand and address their needs, challenges, and goals.
Collaborate with internal teams, including R&D and Product, to align customer feedback with roadmap priorities and platform improvements.
Lead the technical aspects of Proof of Concepts (PoCs) and guide customers through pre-deployment readiness.
Drive post-sales success by resolving complex issues, optimizing deployments, and identifying opportunities to improve security posture.
Deliver technical enablement and training sessions for customer teams to ensure strong adoption and platform fluency.
Stay informed on the latest in cybersecurity, infrastructure, AI, and cloud technologies to continuously elevate customer outcomes.
Lab Environment Ownership: Responsible for designing, maintaining, and automating lab environments that simulate real world customer deployments to test product features, validate integrations, demonstrate the platform, and support cross-functional testing and customer issue replication.

We are on an expedition to find Technical Delivery Engineer, someone who is passionate about creating intuitive, out-of-this-world In this role, you will lead end-to-end implementation and deployment projects of platform in customer environments, working hands-on with AI on-prem and hybrid infrastructures.
Youll collaborate closely with Product, Architecture, and R&D teams, while serving as a trusted technical partner for customers and senior stakeholders. From planning and execution to troubleshooting and continuous improvement, you will own the full delivery lifecycle and ensure every deployment is reliable, seamless, and impactful.
:Responsibilities
Lead end-to-end project delivery in close collaboration with Product, Architecture, R&D, and Solutions teams, as well as customer executives and senior stakeholders.
Plan, coordinate, and execute complex on-premises deployment projects.
Take a hands-on role in deploying platform within customer environments.
Serve as the technical escalation point for issues related to product deployment and implementation.
Develop, maintain, and continuously improve project delivery processes and knowledge-sharing practices.
Communicate project status, milestones, risks, and dependencies clearly to internal teams and customer stakeholders, ensuring transparency and alignment throughout the delivery lifecycle.