דרושים » מכירות » Delivery Engineer

were looking for a DevOps engineer to take the lead on one of the most critical technical challenges in our business: how we deploy software at scale.
Today, deploying our core system into each store is a complex, multi-stage process. Tomorrow, it needs to be seamless, automated, and capable of onboarding dozens of stores per weekwithout sacrificing versatility and quality
This role isnt just about CI/CD or scripting. Its about refining the automation infrastructure that enables repeatable, self-service deployments across hundreds of live, mission-critical environments. Youll sit at the heart of our Ops Technology team, working at the intersection of system engineering and in-store execution, and serving as the technical backbone for deployment scale.
You'll help shape and evolve our DevOps toolsetworking hands-on with cutting-edge technologies to streamline deployments, boost reliability, and scale our platform with speed and confidence. For the right person, this role is a stepping stone toward technical leadership in one of most strategic teams.
A day in the life:
Design and build the software deployment framework that powers in-store systems at scale
Lead remote deployments using Octopus Deploy, driving repeatability and automation
Set up and manage Kubernetes clusters for scalable microservices in diverse environments
Deploy and monitor services with a focus on resilience, observability, and recovery
Troubleshoot complex issues across CI/CD, environments, services, and infrastructure
Collaborate with System Engineering and SRE peers to ensure smooth end-to-end deployment flows
Continuously evolve our CI/CD pipelines, deployment logic, and infrastructure-as-code practices
Build tooling, templates, and documentation to enable fast, low-touch deployments by others
Serve as a technical leader and force multiplier within the Ops Tech team

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.

We're looking for a hands-on, business-minded Analytics Engineer to build the infrastructure and tooling that turns this data into operational gold.
Youll be the first data hire in our new Operations Insights team, responsible for designing the operations data platform, generating insights for internal and external stakeholders, and helping our business teams deliver measurable impact. This is a hybrid role that combines data engineering with analytics and product thinkingyoull build, analyze, and consult.
From designing the data warehouse to crafting performance dashboards and investigating edge-case customer issues, youll be the go-to person who makes data accessible, trustworthy, and powerful.
A day in the life:
Design and implement the operational data platform, consolidating data from R&D systems
Build and maintain data pipelines and tables for store performance, deployment health, and system diagnostics
Collaborate with the Director of Customer Value & Insights and Expansion Managers to define KPIs and surface business insights
Conduct exploratory data analysis to support tough customer and deployment challenges
Build internal tools and dashboards that empower teams to self-serve critical data
Investigate anomalies, edge cases, and complex failure scenarios to improve deployments
Maintain data quality, documentation, and observability as we scale to hundreds of stores

We are looking for a Director of Customer Value & Insights.
As the Director of Customer Value & Insights, youll lead a new function at the intersection of data, business value, and customer success.
Your mission: help our internal teams and clients unlock business impact from technology by crafting data-driven insights, performance narratives, and operational recommendations that deliver measurable results.
This is not an internal analytics roleits a high-exposure, insight-generating position that partners directly with Expansion Managers and customers. Youll dive deep into operational data, structure complex problems, and guide strategic conversations with top-tier global retailers.
A day in the life:
Partner with our team and our customers to identify key business questions and structure data-driven approaches
Work with Analytics Engineers to define and extract the right metrics, trends, and performance drivers
Lead investigations into store-level or deployment-wide issues using operational data and insights
Help customers quantify ROI, uncover hidden value, and define KPIs that demonstrate business impact
Translate operational complexity into compelling insight materials for customer-facing discussions
Serve as a Tier-2/3 thought partner for Expansion Managers tackling hard, ambiguous operational problems
Contribute to the development of customer-facing insight tools and reporting frameworks
Build a customer value function from zerowith direct influence on growth and retention
Shape how we deliver strategic insights across dozens of retail deployments
Work directly with a high-caliber team and cutting-edge real-world AI
Be part of the team making operational excellence visible and valuable to every customer

We are looking for a Senior Data Scientist (Applied AI).
As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutionsquickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.
Day to Day:
Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.

We are looking for a Applied AI Team Lead.
As the Team Lead for our Applied AI team, you will join our Tel Aviv office. You will guide the day‑to‑day execution of innovative projects to help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the VP of Data Science, you will combine hands‑on technical leadership with people management skills, overseeing a team with rapidly-growing portfolio of mission-critical projects and collaborating with product, engineering, and other internal partners. Youll be responsible for leading every aspect of the development process, so that our cutting‑edge AI and data science capabilities get to production quickly, reliably, and with maximum impact.
Day to Day:
Lead a 5‑person team of data scientists and engineers, coordinating stand‑ups, code reviews, and 1‑on‑1s while also contributing hands-on to high-priority projects.
Oversee the development and implementation of a diverse project portfolio, focused on both customer-facing product features and internal business use cases.
Scope, execute, and deliver end‑to‑end AI and data science capabilities to meet the requirements of product owners and internal stakeholders.
Play a leading role in the development of AI-focused infrastructure and the implementation of best practices for engineering and data science.
Track project risks, dependencies, and costs, and make proactive adjustments to keep initiatives on time and aligned with requirements.
Stay current with the latest developments in AI technologies and tools, and identify opportunities to integrate the latest innovations into our products and workflows.
Recruit, onboard, and develop team members to help scale our Applied AI program and promote a culture of technical excellence.
Work an in‑person or hybrid schedule, with at least three days per week in our Tel Aviv office.

We are growing and are looking for future Axonians who value personal and career growth, team-work, and winning!
As a Senior IT Systems Engineer, you will be a technical leader responsible for designing, implementing, and managing our identity platform and corporate SaaS applications. In this position, you will partner with business users and other technology teams to support, grow, and implement Corporate IT systems and infrastructure, including products such as Okta, Google Workspace, Atlassian Product Suite, Zendesk, Slack, Zoom, and other industry-leading products. You will play a pivotal role in ensuring the security and compliance of our systems while delivering a seamless user experience.
The IT Systems Engineering team is responsible for enabling efficient and compliant operations. We focus on delivering and managing critical SaaS applications, endpoint compliance, network administration, and identity and access management (IAM) solutions to support our global workforce.
Manage and optimize wireless networking environments, with a focus on Cisco Meraki and Fortinet solutions, including access point deployment, configuration, monitoring, and troubleshooting.
Serve as a subject matter expert for network architecture, maintaining documentation and standards across corporate locations.
Administer and maintain Microsoft Intune for Windows device lifecycle management, including configuration profiles, compliance policies, app deployments, and conditional access.
Perform advanced Windows OS troubleshooting, including deep-dive analysis of system logs, driver conflicts, group policy issues, and application compatibility challenges.
Manage the administration, day-to-day operations, and troubleshooting of SaaS applications, endpoint management, and identity processes
Develop and maintain automation processes related to identity lifecycle, application configuration, and data management.
Collaborate with key business stakeholders to ensure alignment with business requirements.
Troubleshoot and reference the 3rd party vendor support documentation on API integrations
Manage the configuration of new SaaS systems in Okta to streamline the delivery of services to the user community
Lead incident response and problem resolution for various applications
Partner with Security & Cyber Security Assurance to enforce strict cross platform security and audit controls.

The Worlds Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.

we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - were looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! Were building a world where Identity belongs to you.
The Worlds Identity Company. We free everyone to safely use any technologyanywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.
we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - were looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! Were building a world where Identity belongs to you.

The ISPM Team
We are revolutionizing the field of identity security, providing comprehensive solutions to address the challenges faced by modern organizations. Our platform offers security leaders end-to-end contextual visibility of their identity landscape, reducing risks, improving operational efficiency, and ensuring compliance.

With an exceptional team dedicated to pushing boundaries and achieving remarkable results, we are seeking a talented engineer to join us in shaping the future of identity security.

What youll be doing
As a Staff Software Engineer at the ISPM team, you will play a critical role in building our platform. Your expertise and contributions will directly impact the success and effectiveness of our product. Specifically, your responsibilities
will include:
Developing and maintaining a robust and scalable platform while solving complex customer problems.
Collaborating with product and R&D engineers to translate product requirements into technical solutions.
Ensuring high code quality through testing, code reviews, and documentation.
Identifying and resolving technical issues and performance bottlenecks.
Staying up to date with the latest industry trends and technologies to continuously improve our products.
Office presence 4 times per week in Tel Aviv

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.
As a Senior DevOps Engineer , youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.
Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.
This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.
Responsibilities:
Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards

we are the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online users physical and cognitive digital behavior to protect individuals online. our companys mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on our companyConnect to combat fraud, facilitate digital transformation, and grow customer relationships.. our companys Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps our company to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, our company continues to innovate to solve tomorrows problems.
We are looking for a proactive and skilled Software Infrastructure Developer to join our team, focusing on building robust and scalable infrastructure to support seamless automation and reliability across systems. This role is essential in ensuring efficient integration within our CI/CD pipelines, creating tools and frameworks for end-to-end automation, and working with engineering teams to continuously enhance system stability. The ideal candidate will bring strong technical expertise in automation, CI/CD (with hands-on knowledge of Jenkins), containerization, and cloud infrastructure, along with proficiency in Python and Node.js.
Key Responsibilities:
Software Infrastructure Design: Design, build, and maintain scalable automation infrastructure and frameworks to ensure consistency and reliability on various systems.
Tool and Library Development: Develop libraries and tools to simplify the creation and management of end-to-end automation, enabling efficiency and ease of use.
CI/CD Integration: Integrate and optimize automation frameworks within CI/CD pipelines to streamline deployment and operational workflows.
Feature Ownership: Take ownership of new features and products from design to production, ensuring high-quality, reliable releases.
Cross-Team Collaboration: Collaborate with cross-functional engineering teams to gather insights and requirements, driving continuous improvement of automation tools and frameworks.
Documentation and Knowledge Sharing: Document best practices and usage guidelines for libraries and tools to promote effective adoption and knowledge sharing across teams.
Technology Evaluation: Continuously research, evaluate, and implement new technologies to maximize development efficiency and innovation.