דרושים » תוכנה » Senior Software Engineer

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 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 Senior Backend Engineer to join our AI/ML team. In this role, youll work closely with data scientists to transform cutting-edge machine learning models into scalable, production-ready services. You will take ownership of designing, building, and maintaining the backend systems that power our AI-driven features.

This is a key position that bridges the gap between data science and production engineering, ensuring high performance, reliability, and maintainability of our ML-powered products.

Responsibilities:
Collaborate with data scientists to understand modeling outputs and convert them into deployable services.
Design and develop robust, scalable backend systems and microservices to support AI use cases.
Own the deployment and monitoring of ML models in production (with CI/CD, logging, observability).
Implement data processing pipelines in support of model training and inference.
Ensure software adheres to best practices in architecture, testing, and documentation.
Optimize model inference for latency, throughput, and resource efficiency.
Contribute to design decisions and technical strategy alongside AI and infrastructure leads.

We are looking for an experienced Senior Engineer to join our Billing Platform team.

Our Billing Platform is the backbone of every product we launch and every key deal we close. You will play a critical role in shaping the infrastructure that drives our billing processes, directly impacting our revenue and growth.

As we continue to scale and introduce new products, were looking for passionate engineers who are eager to take ownership of complex systems and make a significant impact.

If you're excited about designing and building robust, scalable systems, wed love for you to join us in shaping the future of our Billing infrastructure.

What you'll be doing:
Design, build, and maintain scalable and resilient systems that handle high-volume data, while collaborating with teammates and individual contributors.
Take ownership of projects, from concept to production, ensuring the highest quality.
Work on data-driven initiatives that improve system performance, efficiency, and billing accuracy.
Work with Product Managers to define features and scope, guiding technical decisions and trade-offs, to align with company goals.
Collaborate in an environment involving various stakeholders within the company.
Help foster best practices and mentor team members to maintain a high standard of engineering excellence.

We are looking for a Principal Software Engineer to join our team and revolutionize the way our system is built.

What your day will look like:
The correlation team is an integral part of the platform group, focused on developing and enhancing the core algorithms that power the products.
As a part of this team, you will be at the forefront of innovation, driving the development of the "Correlation" engine, a proprietary secret sauce algorithm, central to the platform's data-related capabilities, and fortified by a portfolio of patents.
As a Principal Software Engineer on the correlation team, you will lead the research, design, and implementation of the cutting-edge algorithms and infrastructure that drive the Platform. You will strategize and execute engineering efforts to achieve high scalability and performance. This role offers a unique opportunity to contribute to groundbreaking technology and shape the future of cybersecurity asset management.
Responsibilities:
Be a key member of the R&D team, solving and implementing complex engineering challenges.
Leading end-to-end implementations of technologies at the core of product.
Research solutions using data
Be hands-on: conduct research, perform POCs, and solve complex engineering challenges.
Contribute best practices and architectural leadership to our backend applications

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 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 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.

Required Senior Software Engineer
We have transformed the corporate travel, payment, and expense landscape by consistently prioritizing user needs. As a Senior Engineer in the Flights group, youll play an essential part in building and scaling the next-generation flight platform, our flagship product that drives global business growth. This is a high-scale, complex environment where your work will impact customers worldwide. Youll solve challenging problems, collaborate with engineers, product managers, and designers across the globe, and contribute to a platform trusted by major enterprises.
What Youll Do:
Build at Scale: Design and develop robust, high-performance features and core services that support the companys flagship product and serve a global customer base.
Solve Complex Problems: Apply deep technical expertise and creativity to address large-scale engineering challenges, driving improvements in reliability, performance, and user experience.
Deliver Customer-Facing Solutions: Take end-to-end ownership of featuresfrom design and development to deployment and operational supportensuring exceptional quality and value for users.
Collaborate Across Teams: Work effectively as part of a global, cross-functional team, partnering with fellow engineers, product managers, designers, and business leaders to deliver impactful solutions and elevate team performance.
Contribute to Engineering Culture: Champion best practices in code quality, scalability, documentation, monitoring, and testing, fostering a culture of technical excellence, collaboration, and continuous improvement.
Learn and Grow: Stay engaged with new technologies and industry trends, bringing a growth mindset and a passion for delivering elegant solutions to complex problems.

We are building our next-generation, cloud-based data pipeline and are looking for a strong backend software engineer. This engineer should be excited about building systems from scratch, love to take an active role, and be able to quickly dive into complex, large-scale environments and lead them.

By joining this team, you will, among other products, help develop the following products:

Network Discovery: A product that delivers full visibility into every device on a corporate network. Customers can manage any asset, including those not yet protected or supported by us, thanks to machine learning that automatically identifies all IoT devices.
Vulnerability Management: A platform module that enables customers to analyze and prioritize the vulnerabilities detected by our cybersecurity solutions on their endpoints.

What will you Do?
Own features end-to-end - Join a cross-disciplinary squad of backend and frontend engineers working alongside Windows, Linux, and macOS endpoint specialists - taking ideas from whiteboard to production.
Build customer-facing security insights - Design, implement, test, and deploy backend services that turn raw cybersecurity events into clear, actionable information.
Shape our platforms architecture - Lead the design of new modules across several strategic product lines, choosing patterns and technologies for scale, reliability, and performance.
See your impact - Your work directly improves how customers understand risk and respond, making it a visible part of key company initiatives.