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We're looking for a Senior Backend Developer for our Core Services team for a multi-platform role and challenging role! In this role, you will design, develop, and maintain scalable backend microservices serving millions of daily users and build AI agentic flows E2E from prompt engineering and tool orchestration through deployment and evaluation.
Responsibilities
Own complex backend projects end-to-end in a high scale, consumer-facing domain: from functional spec through architecture, choosing DB and technologies, design patterns, development, deployment and production monitoring.
Working in a main, cross-functional domain using Python, .NET Core, Node.js.
Build and manage cloud-native, event-driven architectures on AWS and distributed systems.
Design and build reusable AI-Driven components (e.g, sub-agents, skills, and templates) to streamline workflows and improve system efficiency, leveraging modern AI tools and technologies.
Collaborate with cross-functional teams including Product, DevOps, Mobile, and QA.

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.

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.

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.

You will play a key role in leading and scaling our DevOps and Cloud operations teams. Your mission is to ensure that our SaaS platform is reliable, scalable, and efficient, while enabling engineering velocity and high-quality delivery.

This is a hands-on leadership role combining technical depth with team management. You will work closely with R&D and Product to continuously improve our infrastructure, deployment processes, and production operations.

Responsibilities

DevOps Management
Architect and manage multi-cloud infrastructure (Azure, AWS, GCP).
Own CI/CD pipelines and IaC frameworks (Terraform, Pulumi).
Define and enforce SLOs/SLAs with an SRE mindset.
Manage monitoring, alerting, and incidents.
Promote Kubernetes and scalable micro-services practices.

SecOps & FinOps
Support implementation of security best practices across cloud and CI/CD environments in collaboration with Security stakeholders.
Participate in security incident response processes when relevant.
Own cloud cost visibility and optimization processes, including tagging, monitoring, and ongoing efficiency improvements.
Support business continuity and disaster recovery.
Enforce cost-efficiency policies and guardrails.

People & Process Management
Manage and develop DevOps team.
Establish and improve operational processes to support engineering delivery and production readiness.
Foster a culture of ownership and continuous improvement.
Provide operational metrics and updates to engineering leadership.