לוח משרות דרושים במרכז, לחיפוש זה נמצאו 31,295 משרות

As a DevOps Engineer, you will be responsible for the reliability, scalability, and efficiency of our SaaS products. Your success will be measured by your ability to achieve the following:

First 3 Months: Master our GitOps-based deployment pipelines. You will be expected to independently manage and troubleshoot deployments using ArgoCD and Kargo, and contribute to the team's on-call rotation.

First 6 Months: Enhance our CI/CD processes and workflow efficiency. You will lead the project to reduce average build and deployment times by 20% by optimizing GitHub Actions, Helm charts, and introducing initial AI-assisted automation.

First 12 Months: Improve system scalability and reliability. You will design and implement infrastructure enhancements using Terraform to support a 25% increase in customer workload while maintaining a 99.9% uptime.

Core Responsibilities

Deployment Pipeline Management: Build and maintain our GitOps-based deployment pipelines to ensure a 99% success rate for all deployments and reduce manual intervention by 30% within the first year.

Infrastructure Management: Manage and scale our Kubernetes infrastructure on GCP, with a goal of optimizing resource utilization to achieve a 15% cost reduction in our GCP spending over the next 18 months.

Automation and CI/CD: Enhance and maintain our GitHub Actions CI/CD pipelines to decrease the lead time for changes to production by 25% within the first year.

AI-Assisted Workflow Integration: Integrate AI-assisted tooling into day-to-day DevOps and engineering workflows to improve productivity, scalability, and operational efficiency. You will leverage AI tools to generate initial configuration drafts, validate infrastructure code, and utilize AI-driven automation to reduce repetitive manual tasks by 20% within the first 6 months, accelerating engineering execution while maintaining high-quality standards.

System Reliability: Proactively improve system reliability and availability, with the objective of reducing the number of critical production incidents by 50% through improved monitoring, logging, and alerting within 12 months.

We offer hope to patients suffering from rare and severe diseases by forming partnerships with emerging biotech companies to accelerate access to highly innovative therapies in international markets. As the creator and leader of the global partnership category in the pharma industry, we strive to be Always Ahead and work relentlessly to bring therapy to patients in need, no matter where they live. Our values are at the core of every action we take, and we are committed to going above and beyond to benefit the patients we serve. We are a dynamic, fast-paced company operating in over 34 countries on 5 continents. We are looking for out-of-the-box thinkers, people who are passionate, caring, agile, and adaptive, to join us on our mission. If you are looking to make a difference in people's lives, we invite you to join us! The Customer & Account Specialists job is to promote our company's products. Communicate with professional HCPs (physicians, nurses, pharmacists). The Customer & Account Specialist will increase product awareness, answer queries, provide updated and reliable information, and introduce new products.
Responsibilities:

* Territory and customer management: MCCP update, Call plan adherence (CPA) and identifying customer needs, use of digital tools.
* Organizing and conducting meetings with HCPs in the designated work territory, ensuring compliance with specified requirements and the assigned action plan.
* Providing support to HCPs in optimizing patient outcomes
* Delivering lectures to HCPs (according to the MC terms).
* Professionally promoting the company's products and providing scientific updates based on evidence-based medicine (EBM).
* Developing new initiatives.
* Establishing collaborations and fostering professional relationships with HCPs.
* Actively participating in team meetings, including sharing information and best practices, reviewing relevant materials, and preparing presentations and marketing materials as per the team's requirements.
* Taking an active role in team/unit projects.
* Maintaining open communication with other functions within the company regarding the team's products.
* Attending conferences in Israel and overseas.
City:
Petah Tikva

We are looking for a Senior Full-stack Engineer for one of our Engineering teams, to help solve the toughest issues in cybersecurity: help SOC analysts quickly investigate security incidents by automatically analyzing petabytes of data.

Responsibilities
Develop and maintain a complex system for managing, analyzing, investigating and visualizing security alerts in real-time using React, NodeJS, and Python.
Query large scale cloud warehouses and databases such as Snowflake, Databricks, Postgres, MongoDB, NeptuneDB, etc.. for time critical and optimized results.
Design scalable, highly available data pipelines in a microservices environment using AWS cloud infrastructure while optimizing resources and performance.
Help Mentor and guide team members by researching and enforcing best practices and methodologies across the pipeline.

As our AI Team Lead, you will sit at the intersection of cutting-edge research and production engineering, guiding a high-performing team of Data Scientists and Engineers. This is a deeply hands-on leadership role where you will drive the end-to-end lifecycle-from initial research and PyTorch training to deploying sophisticated multi-modal AI (Text, Image, Audio, and Video) in high-throughput environments. Join us in building the future of responsible AI adoption and digital integrity.

Responsibilities
Manage and grow a high-performing team of AI researchers and engineers, fostering technical excellence.
Drive the design and training of multimodal models applications (Text, Image, Audio, Video) using PyTorch.
Own the AI roadmap from initial concept to scalable, high-throughput production.
Partner with Product, Backend, and Security teams to integrate AI solutions globally.
Stay at the forefront of GenAI/LLM research to continuously improve our detection engines.