לוח משרות דרושים מתכנת Python

we are looking for a Senior DevOps Engineer.
Responsibilities:
Build state of the art solutions for our production platform
Work with other R&D teams on mutual projects
Solve diverse complex problems of high scale
Support multi-region environments & provide support to worldwide-based teams
Everything as a code approach: Run our infrastructure with Ansible, Terraform, and Kubernetes
Build and maintain tools for automation, deployment, monitoring, and operations
Troubleshoot and resolve issues in our dev, test, and production environment
Conduct periodic on-call duties and emergency response
Good communication skills

We're seeking a Senior Security Researcher & Team Lead to own and drive security research domain from the ground up. This is a leadership-first role - you'll build and guide a research team, define a new frontier in AI and agentic security, and shape the methodologies and standards that don't yet exist in the industry. If you thrive in ambiguity, love creating structure where there is none, and want to leave a real mark on an emerging security domain, this role is for you.
You'll investigate emerging attack surfaces, architect and implement detection mechanisms, and validate your findings in production environments protecting Fortune 500 customers. It's a high-ownership position that blends deep technical research with strategic thinking and team leadership - with a real sense of urgency to shape the AI security landscape not just, but for the entire security community.
Responsibilities:
Lead and mentor a security research team, driving vulnerability and threat research that generates product value and protects Fortune 500 customers in production environments.
Take end-to-end ownership of detection mechanism design for agentic AI applications - from initial hypothesis through experimentation to production-grade implementation.
Apply expertise across cloud, identity, web, and API security to map and address the evolving AI threat landscape.
Apply LLMs, Agentic AI, and machine learning models to detect security vulnerabilities.
Collaborate closely with engineering and product teams to translate research into actionable, shippable security capabilities.

You will architect and build a scalable data platform from scratch, engineering high-throughput, low-latency pipelines that drive real-time security analytics and AI-powered systems. As a key member of the Data & AI Algorithms group, you will collaborate with AI/ML engineers, data scientists, and security researchers to design production-grade infrastructure at scale.
This role requires strong ownership, systems thinking, and the agility to operate in a fast-moving environment.
What Youll Do:
Build ML infrastructure to support scalable, low-latency production deployment of data & AI models.
Ensure availability, reliability, and performance of mission-critical data infrastructure
Define and promote best practices for data modeling, orchestration, CI/CD, and infrastructure-as-code
Collaborate cross-functionally to enable data-driven product capabilities

we are looking for a Senior Software Engineer.
Job Description:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principals
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews

we are looking for a Software Engineering Team Leader.
Responsibilities:
As an Engineering Manager, you will need to manage, lead and guide a team of software engineers and identify and improve processes, procedures, technical knowledge and expertise of the team.
You will assume ownership of features and deliver value to customers, understand their domain & use cases and provide solutions to their problems
Design, implement and maintain micro-services implemented various technologies and services on AWS and Azure
Deliver high-quality reusable & maintainable features covered by unit tests, components and E2E tests with metrics and monitoring capabilities to enable proper deployment to production
Collaborate with team members and other groups via open discussions, design reviews, code reviews, etc

We are looking for a Reliability Engineer! We are looking for a Reliability Engineer who will take part in building the next-generation agentic analytics platform, the first Real-Time database optimized for AI agents at scale. Were looking for a Senior AI Evaluation & Reliability Engineer to define and build how AI agents are measured, validated, monitored, and improved in production. This role sits at the intersection of LLM systems, evaluation research, and production-grade engineering. You will design evaluation methodologies, build LLM-as-a-judge systems, and develop agent-based testing frameworks to ensure correctness, robustness, and reliability of complex multi-agent workflows operating on Real-Time data.
What Youll Do:
* Design and implement evaluation frameworks for AI agents and multi-agent systems.
* Build LLM-as-a-judge pipelines to assess correctness, reasoning quality, and output quality.
* Develop agent-based evaluation systems (agents evaluating agents) for scalable testing.
* Define metrics, benchmarks, scorecards, and methodologies for agent reliability and performance.
* Build data -driven evaluation pipelines using synthetic and real-world datasets.
* Identify and analyze failure modes, edge cases, and non-deterministic behaviors.
* Improve agent robustness, consistency, and reliability in production environments.
* Work with tools such as Google ADK, Opik, and related evaluation frameworks.
* Collaborate closely with AI, platform, and database teams to shape agent- data interaction quality.

Required Solution Engineer
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, and SciPlay
The Demand Forecasting team is at a pivotal, high-growth stage. This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of our Demand Forecasting module.

We are looking for a Backend Engineer to join our Data Science team.

In this role, you will partner directly with Data Scientists to transition research prototypes into efficient, production-ready microservices. You will collaborate with a broad forum of experts including architects, data engineers, and product managers, to deliver high-quality technical solutions that drive our product forward.

Responsibilities
Model Tech-Transfer: Transition research prototypes (from Data Scientists) into efficient, production-ready microservices.
Pipeline Management: Build and maintain automated pipelines for data collection, model training, and deployment (using Jenkins & Airflow).
Infrastructure Ownership: Deploy, tune, and manage AWS cloud resources (EC2, S3, ElastiCache) for low latency and high availability.
Monitoring and Evaluation: Implement monitoring for model performance (accuracy, statistical calibration) and Business Performance (adherence with company KPI, business impact).
Quality Assurance: Write robust unit tests and optimise code for performance.

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations.
You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.
Key Responsibilities:
MCP Development & Implementation:
Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities
Architecture & Design:
Architect scalable MCP solutions that handle high-volume data access patterns
Design efficient protocol implementations that minimize latency and maximize throughput
Create reusable MCP components and libraries for internal and external use
Establish best practices for MCP server development and deployment
Integration & Collaboration:
Integrate to our identity platform
Work with DevOps teams to deploy and monitor MCP services in production environments
Partner with security teams to ensure MCP implementations meet compliance and security requirements
Integrate MCP solutions with existing infrastructure and third-party services
Quality & Performance:
Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests
Monitor and optimize MCP server performance and resource utilization
Debug complex issues in distributed MCP environments
Maintain detailed documentation for MCP servers and integration patterns
Contribute to Open Source:
Engage with the open-source community, contributing to the development and improvement of MCP.

An AI startup is looking for an AI Engineer to join its core team at an advanced and critical pre-launch stage.

This role focuses on building AI capabilities at the heart of the product, working on LLM-based systems and AI agents, and collaborating closely with product and data teams.



Responsibilities:

Develop and implement AI agents and LLM workflows
Work on prompting, retrieval, context management, and evaluation pipelines
Bring AI-based features and modules into production
Improve system answer quality and reliability
Collaborate with the data team on semantic layers and data modeling
Develop in Python within a production environment
Work with Docker, Git, and modern development workflows

We are seeking a talented and motivated Senior Backend Developer & Software Engineer to join our innovative and dynamic team.
In this pivotal role, you will lead the design, development, and maintenance high-quality software solutions, with focus on Python and Microservices architecture.
The ideal candidate is passionate about technology, possesses a strong engineering vision, and is eager to contribute to innovative, scalable projects in collaborative environment.

We are looking for a Senior Python Developer to join our R&D team specializing in anonymous communication technologies
Develop backend systems in Python using microservices architecture and lead development packages
Manage and automate anonymous communication solutions including the operation and maintenance of diverse assets
Design and initiate innovative and creative anonymous communication solutions
Availability for on - call support in team rotations and during nights, weekends and holidays.

abra R&D is looking for a Data Scientist! abra R&D is looking for a Data Scientist who will take part in building the next?generation Database built from scratch for AI Agents agentic analytics platform that enables data?driven decision making on large?scale, real?time data. The product focuses on extracting insights, understanding patterns, and supporting decisions through advanced analytics, experimentation, and statistical modeling. The Data Scientist role focuses on analysis, modeling, experimentation, and insights , rather than low?level algorithm or infrastructure development. What you’ll do:
* Analyze large?scale structured and unstructured datasets to extract actionable insights
* Build and evaluate statistical and machine learning models to support analytics and decision systems
* Apply causal inference methodologies to understand relationships in data and measure impact
* Develop time?series models for forecasting, trend analysis, and anomaly detection
* Define statistical methodologies used across analytics and decision?making processes
* Design and analyze experiments (A/B tests, uplift modeling, evaluation frameworks)
* Create data?driven feedback loops to improve product decisions
* Collaborate with AI and engineering teams to translate analytical insights into product features
* Communicate findings clearly to technical and non?technical stakeholders

We are seeking an Observability & SRE Expert with HO experience in On-premise and Cloud environments to join us part-time (100 hours monthly).
the role involves practical tasks:
Implement monitoring, logging, tracing, and metrics for On-Premise and Cloud. Manage SLOs, SLAs, SLIs, and Error Budgets.
Monitor, troubleshoot, and resolve performance issues. Handle incidents and perform root cause analysis.
Develop automation for operational processes. Manage infrastructure and write maintenance scripts.
Build intuitive dashboards and optimize alert management.
Cross-Team collaboration: Work with Development, Infrastructure, Security, and DevOps teams.
Apply SRE principles to enhance system reliability and performance.
place of employment: center
scope of hours: part time job.

We’re looking for a AI Solutions Engineer who thrives at the intersection of data, product, and client impact. In this role, you’ll take full ownership of delivering and evolving AI based data solutions for our customers - blending deep analytical skills with strong communication and product intuition. If you’re excited by semantic models, data analysis, and helping clients leverage data to inform business decisions, this role is for you. What You’ll Do
* Work with AI-generated semantic models, editing them and optimizing them to drive actionable insights.
* Work directly with customer stakeholders to deeply understand business needs, use cases, and their data environment.
* Own the technical solution end-to-end, including model refinement, tuning and verification, ensuring data accuracy and consistency.
* Collaborate with R&D, Sales and Product to surface insights, resolve blockers, and influence product enhancements.
* Translate business questions into analytical solutions constantly pursuing optimization, efficiency and automation opportunities.
* Work with client stakeholders to provide training and enablement support.