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Were growing and looking for another important piece of the puzzle DevOps Infrastructure Team Leader.
What youll do:
Establish and nurture a culture of excellence within the DevOps team, promoting best practices, effective work processes, and methodologies. Lead by example and mentor the team to foster a collaborative and high-performing environment.
Set clear goals and technical direction, aligning team priorities with organizational objectives and ensuring timely execution of deliverables.
Recruit, coach, and develop engineers, fostering a culture of continuous learning and ownership while supporting their professional growth.
Design, implement, and maintain scalable, secure, and reliable infrastructure solutions.
Build and maintain automation frameworks to streamline deployments, enforce security and compliance standards.
Continuously evaluate and introduce new technologies, methodologies, and tools to improve performance, observability, resilience, and scalability.
Act as the technical point of contact for DevOps, guiding the team through complex challenges and advocating for DevOps principles across the organization.

We're looking for a Customer Support Engineer who has a passion for helping customers to join our support team and get the most out of our product.
In this role, youll be the point of contact for our customers, responsible for solving problems and ensuring they have the best experience with our product and our team.
We're looking for someone energetic, tech-savvy, who has high-level English and superb interpersonal skills.
The position is full-time and requires the availability to work up to two evenings a week and 2 weekend shifts per month (Friday morning / Saturday Night).
As a Customer Support Engineer, you will:
Be in charge of our customer happiness and deliver amazing service.
Become a product expert who knows the ins and outs of what we have to offer by helping our customers maximize the value they receive from us.
Proactively identify opportunities and optimization points to help our customers grow.
Represent the customer voice internally in Product, Marketing, and Business Development discussions.

We are looking for a Software Engineer to join our Connectivity team. You'll join a cross-functional group of engineers with a critical mission: ensuring our customers can seamlessly integrate their diverse technical environments with the platform. You will be responsible for building and maintaining the essential tools and services that form the bridge between our customers' systems and our backend, enabling them to send us their event observability effortlessly.
Responsibilities
Design, build, and enhance the core integrations and tools that our customers use to send observability data to the platform.
Partner closely with Product, Engineering, and other cross-functional teams to design and implement solutions built for massive scale, capable of processing over a billion events daily.
Take full ownership of the quality and reliability of your code through comprehensive testing (unit, integration, and end-to-end), and by creating clear, thorough documentation for fellow engineers and our customers.
Partner with customer-facing teams to diagnose and resolve complex technical issues rooted in our data ingestion integrations and libraries.
Develop and maintain 300+ core integrations primarily in Python and Go that can run across cloud and containerized systems, and contribute directly to the open-source ecosystem.
You'll love this job if you:
Thrive in a fast-paced startup environment, and value taking ownership of your work.
Passionate about helping our business and customers resolve complex technical issues across our data-ingestion pipelines, integrations, and libraries.
Care deeply about crafting elegant, user-friendly solutions for complex problems.
Enjoy building the kind of developer tools you would want to use yourself.
Believe in modern software development that values rapid iteration and continuous delivery.
Passionate about the open-source community and excited about contributing to a fully open-source integrations.
Love working with collaborative, thoughtful engineers who push to grow & improve themselves and others.
Like using modern AI tools to boost your productivity and write better code.

We are looking for a bright Tier-1 support engineer to provide enterprise-level technical support to our customers via chat, email, and other channels as required.
Responsibilities:
We obsess about our customers. Establish and maintain customer loyalty by providing support above and beyond their expectations.
Take ownership of customer issues reported, see problems through to resolution, and escalate irregular events to Tier 2 support engineers.
Research, diagnose, troubleshoot, and identify solutions to resolve customer issues.
Provide prompt and accurate feedback to customers.
Ensure proper recording and closure of all issues.
Use tools and troubleshooting techniques and exercise good judgment in decision-making in order to routinely deliver exceptional customer support and overall experience at all times.
Educate and assist other departments within regarding systems, tools, processes, and customers request resolutions.
Create documentation in the form of knowledge base tech notes and articles.
The position requires on-calls availability from time to time.

Required Manager, Technical Support Engineer - Tier 3
Tel Aviv
Excited to lead a global team of experts and solve the toughest technical challenges?
As a Manager, Technical Support Engineer, you'll head our Tier 3 support engineering team, the final escalation point for the most complex issues before they reach R&D. You'll empower your team to provide swift and effective resolutions, partner closely with R&D, Product, and GTM teams, and drive process improvements that impact our most important customers.
As a Manager, Technical Support Engineer - Tier 3, you will:
Lead and Mentor: Manage and develop a global team of highly skilled Tier 3 Technical Support Engineers. You will provide technical mentorship and performance feedback to ensure your team's continued growth and success.
Drive Technical Resolution: Oversee daily operations, ensuring your team effectively troubleshoots and resolves complex escalated issues that Tier 1 and 2 support cannot handle.
Act as an R&D Liaison: Serve as the primary point of contact for all high-priority escalations. You will integrate the technical data from your team with the customer context from our GTM teams to provide a complete picture to R&D, allowing them to focus on diagnosis and resolution.
Proactive Issue Management: Systematically identify recurring issues or "themes" across all incoming escalations. You will partner with the R&D team to define and execute action plans to reduce bug volume and improve overall product quality.
Process Improvement: Identify and implement process improvements to enhance the efficiency and effectiveness of our technical escalation workflow.
Incident Management: Lead and coordinate the response to major technical incidents, ensuring a structured approach to problem-solving and communication across teams.

We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.

Responsibilities:
Develop advanced ML algorithms using data from our Agents embedded in silicon. Example domains include:
Lifetime predictions.
Clustering and dimensionality reduction.
Parametric modeling and screening.
Time-series forecasting.
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

Location: Haifa \ Tel-Aviv in hybrid model.

We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.

Responsibilities:
Develop advanced ML algorithms using data from proteanTecs Agents embedded in silicon. Example domains include:
Lifetime predictions.
Clustering and dimensionality reduction.
Parametric modeling and screening.
Time-series forecasting.
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

Location: Haifa \ Tel-Aviv in hybrid model.

We are seeking an experienced AI Development Expert with deep technical expertise, strong system-level thinking, and a proven ability to define and implement AI-based solutions across an organization. This role involves shaping AI system architecture, selecting appropriate technologies, establishing standards, building infrastructure, and advancing innovation in areas such as Machine Learning, Natural Language Processing, and other intelligent applications.
How will you make an impact?
Write high-quality, efficient Python code, including model development, data processing scripts, and MLOps infrastructure.
Guide and advise technical teams on architecture selection, development methodologies, and MLOps practices.
Partner in defining end-to-end AI solution architecture from infrastructure to product.
Support selection and implementation of models, platforms, and advanced AI/ML tools.
Manage risks and address scalability, security, and regulatory aspects of AI solutions.
Write architecture documents, conduct technology reviews, and contribute to strategic projects.
Research and support new technologies (Generative AI, LLMs, CV, and more) according to organizational needs.
Collaborate with development, product, and data teams to optimally integrate AI solutions into existing and new products.

our Salesforce team is seeking a talented Senior Salesforce Business Analyst to drive various new initiatives in a fun, dynamic, and challenging environment.
How will you make an impact?
Conduct current state business process analysis and recommend future state improvements to support business units needs and Salesforce best practices
Organize and lead requirement meetings with business sponsors, users and other impacted teams.
Proactively search for ways to positively impact your business units success, such as new Salesforce features released, system and process improvements
Implement and/or drive actual implementation/development of an approved solution.
Develop both high-level and detailed business requirements documentation to support business needs and identify appropriate solution(s).
Utilize knowledge of Sales, Marketing & Service Operations busiess processes and tools such as Sales Cloud, CPQ, Service Cloud, Communities and other tools to make recommendations to business and other impacted parties regarding solution options.
Hands-on configuration of all new and existing Salesforce.com features including user management, security, custom objects, page layouts, validations, workflows, flows and other 3rd party applications.
Be a part of ongoing support and maintenance of Salesforce and conduct long-term improvement operations to ensure compatibility with evolving business requirements.

Required AI Automation & Prompt Optimization Engineer
Job Summary
As an AI Automation & Prompt Optimization Engineer on the AI Testing & Workflow Validation team, you will design, test, and refine prompts that enable AI models to generate code and execute automated workflows. Youll work closely with engineering, QA, and product teams to ensure AI-driven features are accurate, reliable, and aligned with user and technical requirements. This role combines creativity in prompt design with rigorous testing and validation practices.
Our commitment to open source innovation extends beyond our products - its embedded in how we work and grow. Our employees embrace change especially in our fast-moving technological landscape and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.
We are seeking highly experienced professionals with at least 7 years of hands-on expertise in the areas described.
What you will do:
Design, iterate, and optimize prompts for AI-assisted code generation and workflow execution.
Collaborate with product owners, developers, and QA to translate feature requirements into effective prompting strategies and evaluation benchmarks.
Validate AI-generated outputs through structured test cases, regression testing, and performance evaluation.
Build or adapt internal tooling to streamline prompt testing, versioning, and deployment.
Capture insights from prompt performance, including failure modes, and iterate toward more consistent, high-quality results.
Document prompt patterns, metrics, and best practices to support knowledge sharing across the team.

The Engineering team is looking for a Senior Integration Engineer to join our Edge Infrastructure Group. In this role, you will be part of a team responsible for designing and implementing the container platform for enterprises and telecommunication companies and contributing to industry-leading technologies in the Kubernetes ecosystem. As a part of a geographically distributed team, you will collaborate with multiple engineering teams and open source communities around the globe. To be successful in this role, you'll need to have motivation, curiosity, passion for problem-solving, and experience with Linux technologies and open source.
What You Will Do
Play an active role applying Kubernetes and OpenShift to customer use cases
Develop and integrate changes in multiple projects using open source methodologies to provide end-to-end solutions
Troubleshoot, analyze bug root causes, and provide resolutions
Review design, enhancement proposal, and patches from other team members and other collaborators
Work with various engineering team to ensure products are developed and tested correctly
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work.