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Were looking for a visionary, people-driven, and hands-on DevOps Team Lead to join our R&D leadership team. The ideal candidate brings strong architectural thinking and acts as a true driver of strategy and transformation someone who continuously pushes the organization toward a long-term DevOps vision. While technical proficiency is important, we value architectural leadership and strategic influence even more.

In this role, youll lead a team of DevOps engineers while owning the strategy, scalability, and reliability of our infrastructure and deployment processes. Youll guide DevOps culture, champion modern tooling and automation, and ensure production readiness across the organization.

This is a key leadership role for someone who thrives on shaping the big picture, influencing stakeholders, and inspiring a high-performance DevOps culture through clarity of vision and strong architectural direction.



What Youll Be Doing

Leading and mentoring the DevOps team, providing guidance, and fostering a culture of continuous improvement, innovation, and ownership.
Driving architectural decisions and enforcing a cohesive DevOps vision, collaborating with other technical leads to align on scalable and resilient infrastructure strategies.
Defining and championing the long-term DevOps roadmap, including tool selection, architecture evolution, cloud transformation, and scalability goals
Overseeing the development of tools and frameworks that automate deployment, configuration, monitoring, and scaling of applications and infrastructure.
Designing and enforcing CI/CD strategies and pipelines, working closely with R&D, QA, and system engineering teams to streamline software delivery.
Setting and upholding high professional standards for development, deployment, observability, and operations within the DevOps domain.
Defining the long-term DevOps roadmap, including tool selection, architecture evolution, and scalability goals.
Ensuring availability and stability of customer-facing production environments, proactively resolving incidents, and driving root-cause analyses and continuous improvement.
Writing and reviewing code (e.g., in Python, Bash, Groovy) and supporting infrastructure-as-code to enhance monitoring, deployment, and disaster recovery.
Collaborating with cross-functional stakeholders to align infrastructure capabilities with product and business goals.
Reporting on key DevOps KPIs such as deployment frequency, system reliability, and incident recovery.
Planning and executing a shift from on-prem to cloud-native platforms.
Exploring and integrating AI-powered tools to enhance delivery velocity and team productivity.

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 building a large-scale backend platform for orchestrating and managing critical infrastructure state at massive scale.
As a backend engineer, you'll help design and develop high-concurrency, race-free backend services using Go (Golang), ensuring strong consistency, reliability, and performance.
You will:
Build highly concurrent backend services capable of safely handling tens of thousands of parallel operations.
Design and implement scalable APIs (REST, WebSocket, or gRPC).
Ensure consistent state management for critical infrastructure data.
Optimize system performance, reliability, and observability.
Write production-grade, maintainable, and well-tested code.
Collaborate with frontend engineers, architects, and product managers.
While initial development is focused on Go, future projects may involve other languages or stacks.
We're looking for engineers who are either experienced in Go or highly motivated to master it, and who are comfortable adapting to different technologies as needed.
Key Responsibilities
Design, develop, and maintain high-concurrency, race-free backend services using Go (Golang).
Implement scalable APIs for resource operations (REST, WebSocket, gRPC).
Ensure system consistency, performance, and reliability under high load.
Write clean, production-quality code with proper testing and observability.
Participate in system design reviews, code reviews, and team knowledge sharing.
Work closely with product managers, architects, and frontend developers.
Troubleshoot and maintain backend systems to meet SLA and performance targets.

Required Manager 2, Software Engineering
Join us at IDX PS-Engineering group as a Development Manager, where youll have the exciting opportunity to lead the development of critical tools that power the Professional Services (PS) organization. In this role, youll guide a team of talented, highly motivated engineers to build innovative solutions that support all of our offerings. Youll oversee the design, development, and maintenance of PS tools, AI-driven automation services, and enhanced capabilities for the PS Salesforce ticketing system , all with an AI-First mindset. This is a high-impact leadership role within a growing team, where your contributions will directly drive operational excellence and scalable innovation across the company.
Responsibilities
Build a high-performing team by putting the right people in the right roles at the right time
Lead PS tools development efforts, including setting priorities, providing time estimates, managing releases, and ensuring execution
Guide, coach, and mentor software engineers including hands-on involvement, technical guidance, design and code reviews
Evaluate employee performance, set expectations and goals, recruit, train, and support career growth for team members
Drive innovation by initiating and embracing new ideas that deliver measurable impact for our customers
Define and promote engineering standards, development processes, and best practices to ensure delivery of scalable, high-quality software
Partner closely with IDX Platform teams to optimize integration, streamline development processes, and enhance user experience
Collaborate cross-functionally with Program Management, Business Analysts, Product Managers, and other Engineering leaders.

Lead a team of QA engineers responsible for ensuring the quality, performance, and reliability of AI datacenter networking solutions built on SONiC infrastructure, smart NICs, and centralized routing controllers.
Key Responsibilities
Lead and mentor a team of QA engineers across hardware and software testing domains
Develop comprehensive test strategies for SONiC-based AI datacenter deployments at scale
Design and implement automated testing frameworks for smart NIC validation
Establish performance benchmarking protocols for AI workload networking scenarios
Coordinate cross-functional testing with AI framework integration teams
Drive continuous integration/continuous deployment (CI/CD) processes for networking stack validation
Manage test environment infrastructure including physical testbeds and virtualized scenarios
Collaborate with customer deployment teams to replicate and resolve field issues
Define quality gates and release criteria for datacenter networking components.