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We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.
Responsibilities
Design and development of high-quality big data processing engineer
Identify and proactively address potential product risks and challenges and ensuring success
Work closely with stakeholders to transform requirements into technical specifications
Ensure that the code is consistent with industry coding standards and best practices
Take a deep dive into the technical details and provide expert advice and solutions

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.

We are currently in the process of building our next huge project. Were creating the CHAT API solution, adding the ability to offer a complete chat capability that contains team messaging, SMS, mms, WhatsApp, email and Facebook domains into platform. The CHAT API is going to be used across the entire organization in various different products.
The team is working end to end on all aspects of the product - from UI to Backend and on maintaining the stack.
Our team is more than just colleagues; we're a community that thrives on collaboration, creativity, and, most importantly, having a good time together.
Your key responsibilities:
Working on end-to-end projects in a full-stack backend oriented role, aligned with your skills and career goals.
Taking a key role in building and leading the team from an Architecture perspective.
Designing, researching, developing and testing the functional and non-functional areas.
Onboarding and mentoring new team members.
You will help build a reliable continuous improvement process and ensure efficient delivery at high level.

Our team builds key communication capabilities within the Contact Center platform.
We own the Email communication channel, enabling businesses to manage scalable and reliable email interactions with their customers-from message ingestion and routing to the agent experience.
In addition, we are building a new product called Interaction Designer, which allows organizations to design and control what happens when a call or message arrives at the contact center. The platform enables smart routing, automation, and interaction flows across multiple channels, and includes AI-driven capabilities using modern tools and technologies to create smarter interaction experiences.
The team consists of young full-stack developers with years of experience to share.
Our team is more than just colleagues; we're a community that thrives on collaboration, creativity, and, most importantly, having a good time together.
Your key responsibilities:
You'll work on end-to-end projects in a full-stack role, aligned with your skills and career goals. As a part of your job, you will be charged with designing, researching, developing, and testing the functional and non-functional areas.
We design and implement new projects while constantly making sure we support large scales of data and traffic, backward and upward compatibility, and more.
Main tech stack:
Vuejs, Nodejs, NestJs, Java, Typescript, AWS, K8S, MongoDB.

We are an established team driving the innovation of our companys core audio-call infrastructure. Our current mission is the new development of high-performance services that power real-time audio streaming for external processing, recording services, and external API integrations.
Your key responsibilities:
In this role, you will focus on building new, scalable features from the ground up. While we value full-stack capability, your primary impact will be in Backend and Cloud Engineering using .NET and AWS (ECS/EKS).
You will take ownership of the end-to-end development of new audio-processing logic and the APIs that expose these capabilities to the rest of the organization.
This is a hybrid role, offering the flexibility to work most of the time remotely. However, certain tasks will require in-person collaboration with team members. You should be prepared to attend on-site meetings (Tel-Aviv) occasionally to support key project milestones and ensure successful outcomes.

we are looking for a talented DevOps Engineer to join us on our mission to simplify decision-making for millions!

What You'll Do

Responsibilities

Design, own, and evolve DevOps tooling, CI/CD architecture, and infrastructure automation strategies across multi-cloud environments (AWS & GCP), supporting high-performance, resilient production systems.
Manage Kubernetes clusters (EKS, GKE) and containerized microservices at scale, leveraging Helm, IaC, and other cloud-native technologies.
Collaborate with engineering and data teams to optimize cloud-native architectures for performance, cost-efficiency, scalability, and high availability.
Automate infrastructure and pipeline workflows using Python, Bash, and Groovy, with IaC tools like Terraform and CloudFormation, and CI/CD platforms such as Jenkins and GitHub Actions.
Support data workflows and ML deployments using orchestration tools like Airflow and CI/CD for data pipelines.
Work with AI-native tooling (e.g., MCP, agent frameworks, Cursor, OpenAI, Gemini and Vertex).
Bring out-of-the-box thinking, excellent problem-solving skills, and the ability to debug complex systems.

We are looking for passionate software engineers who get the job done and are willing to learn and do what it takes to solve hard engineering and product problems in order to create an amazing products together.
Your role includes:
Deliver high performing features by defining a vision, then set and execute against ambitious and well-defined OKRs
Own the full development cycle - from design to implementation, testing and all the way to production.
Ensure KPIs and metrics are in place for evaluating the usability and necessity of every feature
Work with the most cutting-edge development environment tools; CI/CD, monitoring and other tooling
Work closely with product manager to define, develop, and launch new capabilities, features, flows and products

Were growing and looking to hire a Data Platform Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
As a Data Platform Engineer, Your Impact Will Be:
Platform Modernization: Shape and develop the core technology of our Data Platform, moving from design to implementation to support AI research and business intelligence.
Scalable Pipeline Engineering: Design and build complex, distributed data pipelines that ingest, manipulate, and move data from a wide variety of sources at massive scale.
Software Excellence: Build and maintain high-performance microservices and APIs that interface with our data ecosystem, ensuring low-latency and high reliability.
Cross-Functional Collaboration: Partner closely with Software Engineering, AI Research, and Product Management to transform abstract data needs into real-world customer value.
Data Reliability: Implement best practices for data management, quality assurance, and security within our ecosystem.
ML & AI Enablement: Integrate and manage robust data flows that directly power our ML and LLM pipelines in production environments.

Were growing and looking to hire a Full Stack Software Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
As a Full Stack Software Engineer, you will join our talented R&D department to tackle complex technical challenges, from networking traffic analysis to big-data and multi-tenancy architecture. You will use state-of-the-art technologies like Kafka, K8s, AWS, and the latest React/Angular to build products that protect mission-critical infrastructure. We are looking for an engineer who can take full ownership of features while driving technical innovation and development best practices.
Responsibilities:
As a Full Stack Software Engineer, your impact will be:
● End-to-End Ownership: Take full responsibility for features, from initial design with product and architecture teams to final deployment.
● Complex Problem Solving: Design and solve intricate computer network challenges in a creative and secure manner.
● Technical Versatility: Work and master a diversified environment including Python3, Go, React/Angular, and OS internals.
● Innovation Leadership: Drive product and technical innovation to ensure the fastest and highest-quality delivery to our customers.
● Engineering Excellence: Implement and advocate for software development best practices within a high-performance team.

We are looking for a Mid-Level Front-End Engineer to develop and maintain user-facing features in our applications. You will work within an established codebase, collaborate with backend and DevOps teams, and help improve the usability and quality of the front-end platform.

Responsibilities

Develop UI components using **React and TypeScript**
Build responsive interfaces using **Tailwind CSS**
Implement navigation and application structure using **React Router**
Work within and extend an **existing front-end codebase**
Integrate front-end components with **backend APIs**
Debug issues and improve **usability, performance, and code quality**

We are looking for a DevOps Engineer with strong Kubernetes experience to operate and own deployments running in edge/on-premise environments. The role focuses on reliable system operation, release orchestration, and maintaining multi-service systems deployed across distributed installations.

Responsibilities

Operate and maintain **Kubernetes / K3S clusters**
Manage deployments using **Helm and Argo (GitOps)**
Implement **release orchestration** for multi-service systems
Configure infrastructure components such as **message queues, storage, and networking**
Own the **deployment lifecycle**: installation, upgrades, rollbacks, troubleshooting
Support **edge hardware environments and on-site deployments**
Work with engineering teams to ensure **reliable packaging and deployment of services**

we are seeking a skilled Senior C++ Software Engineer to join its expanding R&D team.

The company specializes in utilizing AI and big data to analyze electronic components during the assembly process to identify faulty and counterfeit components.

Responsibilities:

Develop and maintain high-performance C++ applications in a constantly evolving and dynamic environment.
Take ownership of key tools and processes, ensuring reliability, efficiency, and scalability.
Optimize applications for improved performance, memory management, and real-time processing.
Collaborate with cross-functional teams to integrate complex algorithms and logic seamlessly.
Work with cloud-based infrastructure and contribute to scalable microservices architecture.
Debug and resolve complex software issues to maintain high system reliability.

we are seeking a skilled Team Lead - R&D (C++ & Python) to join its expanding R&D department.

The company specializes in utilizing AI and big data to analyze electronic components during the assembly process to identify faulty and counterfeit components.

Responsibilities:
Lead and mentor a team of R&D software engineers, fostering innovation and technical excellence.
Develop and maintain high-performance applications in C++ and Python.
Take ownership of key development projects, tools, and processes, ensuring efficiency and scalability.
Optimize applications for improved performance, memory management, and real-time processing.
Collaborate with cross-functional teams to integrate complex algorithms and logic seamlessly.
Work closely with the R&D management team to align development efforts with company goals.
Work with cloud-based infrastructure and contribute to scalable microservices architecture.
Debug and resolve complex software issues to maintain high system reliability.

We are seeking a skilled
Python Software Engineer
to join our growing
R&D team
This role offers the opportunity to work in a fast-paced, innovative environment, contributing to the development of cutting-edge technologies.

Responsibilities:
Design, develop, and maintain core software tools and processes.
Optimize applications for improved performance, scalability, and efficiency.
Collaborate with cross-functional teams to integrate solutions seamlessly.
Troubleshoot, debug, and resolve complex technical issues.
Stay up to date with industry best practices and emerging technologies.

As a Senior Software Engineer within the Platform Infrastructure group, you will architect and develop the foundational Platform that powers all existing and future products. You will tackle the most complex, high-impact engineering challenges that span the entire stack- from low-level system configuration to distributed backend applications. Joining a global team, you will act as a technical lighthouse, conducting deep-dive research and resolving intricate performance and architectural issues that others cannot.

Responsibilities
Architect & Develop: Design and implement scalable, fault-tolerant backend services and infrastructure tools using Python, Docker, and Linux.
Deep-Dive Research: Act as the final escalation point for the R&D organization, diagnosing and resolving complex, ambiguous system-wide performance issues and "unsolvable" bugs.
Platform Innovation: Build long-term infrastructure solutions and internal tools to improve R&D efficiency and prevent recurring technical debt.
Technical Leadership: Drive architectural decisions using telemetry data and collaborate across global teams to coordinate cross-functional engineering efforts.