דרושים » תוכנה » Senior Infrastructure Developer

we are looking for a Python Expert to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

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.

We are looking for a senior backend engineer who is truly cross functional possesses strong engineering foundations for developing highly performant services. The ideal candidate will have a deep understanding of algorithms and Python fundamentals, as well as an understanding of the capabilities and limitations of LLMs.
They will be able to quickly collaborate with their product counterparts to iterate over new, cutting edge features and capabilities and get them to the hands of our users. Collaborating closely with product teams, they will quickly ideate, develop and deliver innovative features and capabilities to our users.
If you have the skills and experience we are looking for, we encourage you to apply for this exciting opportunity to join our team and make a significant impact on the future of AI
Role and Responsibilities:
Build the framework used to supercharge our algorithm teams to write scalable, performant algorithms
E2E ownership of production services, databases and infrastructure
Work in fast iteration loops with business/product managers to architect and deliver new products and capabilities
Drive the architectural design, including dependent services and service interactions (APIs & SDKs)
Apply judgment and experience to balance trade-offs between competing interests and optional solutions, considering profiling data to inform decisions on performance and resource utilization.
Help with coaching and mentoring team members, and maintaining high standards of software quality within the team.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.

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.

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 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 are looking for a highly technical individual to join our Cortex XDR Agent team as a Senior QA Automation Engineer. The team builds the foundation of the Cortex XDR agent, from security modules to server communication and task management.
As our Senior Automation Engineer, you will be responsible for product quality, test design, and planning. You will develop automation tests and the required infrastructure, focusing on Windows and macOS environments. This includes deployment, execution, and validation across multiple system configurations. You will work closely with the development team to investigate and resolve issues discovered during testing.
The role is deeply hands-on, requiring a strong understanding of the product, operating systems, and automation frameworks. You should have the ability to streamline processes, enhance test coverage, and improve efficiency through automation using Python.
Your Impact
Design and execute E2E tests in a cross-platform environment: Windows, MacOS
Test new features, focusing on deep internal aspects of the feature and its integration with the OS
Learn new features, technologies and platforms in a relatively short amount of time
Reproduce and analyze bugs, that either came from the field or have been found during the testing cycle
Run QA cycles on a tight release schedule
Work closely with developers, product managers and other QA teams - being involved during the entire release cycle from planning through execution and final delivery
Make a significant impact on the design, implementation and quality of the product.

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 looking for a Code Infrastructure engineer to join a new initiative in the Cortex XDR agent group.
The Cortex XDR Agent is a disruptive anti-exploit & anti-malware product, is the foundation of most of the Cortex products, providing the boots-on-the-ground for our companys endpoint protection solutions. The new hire will join an initiative across the security R&D group that focuses on agent dev velocity. The new hire will join a task force that sets their own roadmap and focuses on bringing the most value to the developers - increasing velocity and quality.
The role revolves mainly around developing an e2e testing framework, written in Python, setting up innovative CI processes and incorporating 3rd party tools to the development process from design to deployment.
Were looking for a versatile individual whos always looking for ways to improve processes, learn and add new tools and find their own path forward based on developer feedback. The ideal candidate has Python as his strongest language, has experience with CI tools and processes and can learn and utilize new technologies quickly. Finally, the candidate will have many stakeholders across several groups including dev, research, devops, QA and others - We want an individual that can reason and protect the importance of their work while building meaningful and productive relationships with stakeholders.
Your Impact
Build and Maintain Testing Frameworks: The individual will assist in the implementation and management of an end-to-end testing framework using Python, enabling developers to quickly author and run tests on their code both in development and CI.
Support CI/CD Processes: The engineer will help set up and maintain continuous integration and deployment processes, utilizing innovative tools and practices to streamline development and ensure consistent, high-quality outputs.
Boost Developer Efficiency: By contributing to initiatives aimed at increasing development velocity, the candidate will help enhance the productivity of the development team, enabling them to focus on creating valuable product features while reducing time spent on routine tasks.
Collaborate Across Teams: The role involves working with various stakeholders, including development, research, DevOps, and QA teams. The individual will need to effectively communicate and collaborate to understand their needs and help align the infrastructure projects with these requirements.
Learn and Adapt: The candidate will continuously learn new technologies and tools relevant to their role, adapting quickly to changes and integrating new methodologies into the development process to keep it efficient and up-to-date.