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Were looking for a driven, excellent Senior Backend Developer with a true obsession for technologies, AI, a builder who constantly explore, push boundaries and shares knowledge with others.
Join our Parking Domain and work on large-scale, high-impact systems serving millions of users!
Responsibilities
Lead complex backend projects, from functional specifications and technical design through development, deployment, and production support.
Partner closely with the Team Lead, contributing to team leadership through code reviews, mentoring, and maintaining high engineering standards.
Design, develop, and own scalable, production-grade backend systems.
Architect and lead the development of cloud-native, microservices-based systems and distributed architectures on AWS.
Work with a variety of data storage technologies and make informed decisions on data architecture.
Collaborate with cross-functional teams, including Product, DevOps, and Frontend, to deliver end-to-end solutions.
Actively leverage AI tools such as Cursor, Claude Code, and other AI coding assistants to accelerate development and improve engineering productivity.
Design and build reusable AI sub-agents, skills, and templates to scale development workflows across the team.
Main Tech Stack: Python, .NET Core, AWS, DynamoDB, SQL Server, and more.

Were looking for an experienced Product Analytics Manager to play a key role as part of the Product organization. The Product Analytics Manager will lead the domain and work closely with Product, R&D, Sales and Marketing, Customer Success, and BI to drive data-informed product and business decisions.

Key Responsibilities
Define product success metrics, usage benchmarks, and adoption KPIs across products and customer segments, ensuring alignment with our clinical and business impact goals.
Own the end-to-end product analytics framework - including event design, tracking strategy, data validation, and ongoing data quality monitoring.
Perform hands-on deep-dive analyses, working directly with raw data and collaborating with R&D and BI to ensure robust data models, pipelines, and instrumentation.
Partner with Customer Success and BI to deliver customer-centric insights and support the evolution of the product data infrastructure.
Build dashboards and analytical models to support product and business decision-making, evaluate feature performance, and establish a continuous feedback loop between user behavior and product development - using data-driven insights to challenge assumptions and prioritize high-impact roadmap initiatives.
Quantify the clinical and economic impact of our solutions by analyzing real-world encounter data to validate key performance markers such as reduction in cost of care, improved patient outcomes, and product utilization.
Translate complex analyses into clear, actionable recommendations for technical and non-technical stakeholders.
Provide professional leadership in analytics, including team management (if applicable) and contributing to the growth of the analytics function.

We are looking for an sharp-minded Senior Backend Developer to join our Amazing Growth Domain!
In this role, you will lead complex backend projects within a highly strategic core team responsible for our Paid Subscriptions, loyalty and coupon packages used by millions of users -directly impacting our revenue and supporting our mission to become Israels leading smart mobility app.
Partner closely with the Team Lead, supporting team responsibilities such as code reviews, mentoring engineers, and upholding high engineering standards.
Responsibilities
Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development and deployment.
Design, develop, and maintain scalable backend systems in production environments
Build and manage cloud-native, microservices-based architecture (AWS) in distributed systems environment.
Work with a variety of data storage technologies.
Collaborate with cross-functional teams including product, other engineers, DevOps, etc.
Actively leverage AI tools such as Cursor, Claude Code, and other AI coding assistant to accelerate development and improve velocity and productivity.
Build reusable AI sub-agents, skills, and templates to streamline development workflows.
Main Tech Stack: Python, .net core, AWS, DynamoDB, MongoDB, PostgreSQL, SQL Server and more.

Required Production Services
Description
As part of the Production Services team, you will work closely with cross-functional teams to investigate and resolve production issues, perform data analysis using SQL, support call centers with technical inquiries, and help ensure smooth operations in a dynamic, fast-paced environment.
Responsibilities
Support and maintain production environments, ensuring system stability and smooth operations
Investigate and troubleshoot production issues, including deep-dive analysis and data investigation using SQL (Redshift, MongoDB)
Collaborate with Product, R&D, QA, Support, and business teams on cross-functional tasks
Implement and update production configurations, including campaigns, promotions, and system changes
Assist call centers with technical support inquiries.

Were looking for a Marketing Communications & Content Manager to lead our content and communications efforts across channels. This role combines strategy and execution, driving brand awareness and supporting pipeline growth while ensuring consistent, high-quality messaging.

Key Responsibilities
Lead company messaging across brand, product, and campaigns, ensuring consistency across all touchpoints.
Own end-to-end content creation across website and print materials - including webpages, blogs, eBooks, case studies, videos, brochures, and one-pagers.
Manage PR and content distribution to strengthen brand visibility and thought leadership.
Co-plan and co-execute marketing initiatives, including virtual and in-person events, to drive awareness and pipeline.
Create campaign assets (including ads and emails) aligned with business goals.
Manage LinkedIn (B2B) and support additional B2C channels.
Use data and insights to measure and optimize content and campaign performance.
Collaborate cross-functionally with product, sales, and external partners/agencies.

Required Platform Team Lead
Description
Were building a modern engineering platform that helps R&D teams move faster, ship safely, and operate reliably at scale.
The Platform Team owns our AWS infrastructure and engineering platform - including cloud architecture, Kubernetes, CI/CD, observability, automation, and developer experience.
Were looking for a hands-on technical leader to scale our platform, improve engineering workflows, and build self-service capabilities that reduce engineering friction across the organization.
We treat the platform as a product for engineers, focused on reliability, usability, automation, and operational excellence.
Responsibilities
Lead and grow the Platform Team while staying deeply hands-on
Own and evolve our AWS infrastructure, production environments, and cloud operations
Drive infrastructure and platform initiatives around EKS, Lambda, CI/CD, observability, and automation
Lead the migration to GitHub Actions and improve developer experience and engineering workflows across teams
Build self-service platform capabilities, reusable tooling, and standardized engineering workflows
Partner closely with R&D teams to improve reliability, operational maturity, and platform adoption across the organization

Were looking for a backend developer with a true obsession for AI, a builder who constantly explore, experiment, and push boundaries.
Join our Parking Domain and work on large-scale, high-impact systems serving millions of users!
This is a huge opportunity to grow fast, build real production systems, and turn AI into real-world impact.
Responsibilities
Build and contribute to backend projects, from functional specifications through development and deployment.
Develop and maintain cloud-native, microservices-based architectures and distributed systems on AWS.
Work with a variety of data storage technologies.
Collaborate with cross-functional teams, including Product, DevOps, Frontend, and local and offshore engineering teams.
Actively leverage AI tools such as Cursor, Claude Code, and other AI coding assistants to accelerate development and improve engineering productivity.
Build reusable AI sub-agents, skills, and templates to streamline development workflows.
Main Tech Stack: Python, .NET Core, AWS, DynamoDB, SQL Server, and more.