דרושים » תוכנה » Software Engineer (Automation Infrastructure)

A hands-on engineering role focused on building production-grade AI/ML systems and the automation infrastructure that supports them - driving AI adoption into developer workflows, internal tooling, and domain-specific applications across the organization.

As a member of the AI Infrastructure & Applications team, you will lead the design, development, and production deployment of AI/ML-powered systems alongside the automation infrastructure and developer platforms that support them.
You will architect intelligent, scalable solutions used across the organization - driving AI adoption into developer and automation workflows, internal tooling, and domain-specific applications - while also building and maintaining the automation frameworks and infrastructure those systems depend on.
The systems you build are expected to be production-grade, reliable, observable, and continuously improving.

Responsibilities
Architect and ship end-to-end AI-powered applications and pipelines, from prototype to production.
Build agentic systems, RAG pipelines, and tool-use patterns that integrate LLMs into real workflows.
Define and own AI quality metrics (accuracy, groundedness, hallucination rate, task completion) and integrate them into CI/CD release gates.
Design evaluation frameworks for non-deterministic systems: offline evals, human-in-the-loop review, and automated regression suites.
Harness AI/LLMs to extend and enhance existing automation infrastructure, improving system performance and operational efficiency.
Build scalable automation frameworks, APIs, and tooling used across the organization.
Collaborate with engineering, CI, and domain teams to address automation needs across hardware, software, and cloud.
Distill requirements from a large, diverse user base into generic, reusable, maintainable solutions.
Implement monitoring, drift detection, and structured feedback pipelines for continuous improvement.
Apply rigorous engineering discipline - test design, release criteria, rollback strategies - to AI-native deployments.
Partner with product, design, and domain experts to define use cases, acceptance criteria, and rollout plans.

A self-motivated automation engineer with strong programming fundamentals, responsible for designing, writing, and maintaining automated tests across software, firmware, backend, frontend, and mobile - while owning the full automation infrastructure and CI pipeline.

You will design, write, and maintain automated tests covering backend services, frontend interfaces, and mobile applications, including software and firmware. You will own and evolve the automation infrastructure, the physical lab environment, test agents, and CI pipeline reliability, while collaborating closely with development engineers to build and run automated test suites, triage failures, and expand coverage as new features are introduced. Industry best practices such as POM (Page Object Model) and AAA (Arrange-Act-Assert) patterns will guide your work to ensure automation projects remain well-structured, maintainable, and scalable. Over time, you will deepen your product knowledge to broaden test suite coverage accordingly, contribute to internal tooling, and leverage generative AI tools to improve productivity across test development, documentation, triage, and reporting.

Responsibilities
Test automation framework design and development (Python, Pytest, Playwright).
Backend, frontend, and mobile test automation across multiple platforms, including iOS/macOS using XCTest.
Applying automation best practices: POM, AAA, and scalable project architecture.
Debugging and troubleshooting hardware and software issues.
CI/CD pipeline configuration and maintenance.
Lab infrastructure management.

we are looking for a Senior Data Engineer to join our Data Platform team. We are seeking a hands-on individual with experience in building and scaling modern data infrastructure, passionate about exploring AI technologies and applying them to enhance and evolve our data systems. This role is ideal for someone focused on data systems, performance, automation, and reliability, who will design, build, and maintain core components of our data pipelines, storage, monitoring, and observability stack, with a strong focus on improving workflows and system capabilities, while embracing the Shift4 way.

Responsibilities:

Build and maintain scalable, reliable, and high-performance data infrastructure across cloud and on-prem environments
Partner with engineering, analytics, and observability teams to support data flow from ingestion to consumption
Develop infrastructure as code and automation tools to improve deployment, monitoring, and recovery
Help troubleshoot performance bottlenecks and reliability issues in large-scale data pipelines
Implement data quality processes aligned with security standards to ensure accuracy, consistency, and compliance with financial regulations and PCI requirements.
Continuously improve the performance and efficiency of the data platform with proactive tuning and benchmarking
Proactively explore and apply AI tools to enhance efficiency across the data engineering lifecycle, while improving accessibility and usability of data solutions for teams across the organization

We are a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive
The IoE group specializes in making our devices smarter and more connected. What You Will Be Doing:
* Develop and design high-quality code following best practices to ensure reliability, maintainability, and scalability.
* Optimize and enhance the performance of existing software components.
* Collaborate with hardware engineers to ensure seamless integration between hardware and software.
* Lead technical discussions, code reviews, and mentor junior engineers.
* Participate in the full software development life cycle including concept, design, development, deployment, and support.
* Leverage cutting-edge AI tools and the latest development features to accelerate development, improve code quality, and drive innovation across the team.
* On the Interface team, you'll develop the core infrastructure handling all communication between the device and external systems - cloud, mobile, and other on-site controllers - deployed across millions of devices worldwide.


Country:
Israel

City:
Herzliya

we are looking for a Mobile SDK Engineer.
What youll do:
Develop and maintain mobile SDK features used by developers worldwide
Design and implement reliable and performant SDK components across multiple mobile platforms and operating system versions
Take ownership of end-to-end quality, including design, implementation, testing, and production reliability
Debug and resolve complex issues across different devices, OS versions, and runtime environments
Improve SDK performance, stability, and reliability at scale
Develop and maintain SDK wrappers and integrations for cross-platform frameworks such as Unity, React Native, Flutter, and other mobile environments
Work with modern AI-driven engineering tools, automation systems, and internal developer platforms
Collaborate with engineers across mobile, backend, frontend, and platform teams
Participate in code reviews and contribute to engineering best practices

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will own initiatives from idea through production, collaborate with product, design, and hardware teams on Bluetooth/BLE and IoT integrations, and mentor other engineers along the way.
This role is fully onsite.

Responsibilities
As a Senior Software Applications Engineer, you will shape the architecture and quality of our mobile applications and the Python services that power them. You will work end to end, from native iOS interfaces down to the hardware our products communicate with, setting technical direction and the standards other engineers build upon.

We are looking for a Senior DevOps Engineer with deep expertise in cloud-native platforms to join our global DevOps group and help shape the future of our next-generation SaaS platform
Responsibilities
Collaborate across global R&D teams to manage and evolve a complex, Azure-based production environment powering a cutting-edge data security SaaS platform. 
Build and maintain scalable, resilient, and highly available cloud infrastructure using DevOps practices. 
Design and implement CI/CD pipelines, GitOps workflows, and infrastructure automation using tools like Terraform, Pulumi, Argo CD, and Azure DevOps. 
Work closely with R&D teams to design, implement, and support new product features across the platform. 
Evaluate and adopt emerging cloud-native technologies, open-source tools, and observability platforms to enhance system performance and developer productivity. 
Respond to incidents and internal requests, performing triage, root cause analysis, and implementing solutions to reduce recurrence and resolution time. 
Participate in a 24/7 On-Call rotation to proactively monitor and resolve production issues, ensuring platform stability. 

Join a highly skilled engineering team building core storage infrastructure across multiple system layers. You'll develop and enhance frameworks that handle disk image operations, provide unified storage abstractions, and enable cutting-edge virtualization technologies. This role requires both breadth and depth, comfortable working from kernel-level drivers to user-space frameworks, debugging complex multi-layered systems, and collaborating across hardware, kernel, and application teams. You'll participate in all phases of development: architecture, implementation, optimization, testing, and integration with deeply integrated platform features.

Responsibilities:
Develop kernel-level storage components and user-space frameworks for macOS and our other platforms.
Optimize I/O performance, resource utilization, and power efficiency across the storage stack.
Debug and resolve complex issues spanning hardware, firmware, kernel, and user-space boundaries.
Collaborate with cross-functional teams, including hardware, kernel, filesystem, and virtualization engineers.
Write comprehensive test suites, performance benchmarks, and technical documentation.
Contribute to architecture decisions and long-term technical direction for storage systems.

We are seeking a highly skilled and motivated DSP real-time embedded Engineer to join our firmware team. In this role, you will be responsible for implementing cutting-edge digital signal processing algorithms for our next-generation products.

In this role, you will be responsible for implementing cutting-edge digital signal processing algorithms for our next-generation products. You will be a key contributor to the entire product development lifecycle, from concept to deployment, ensuring that our products are intelligent, efficient, and provide a seamless user experience.

Responsibilities
Implement, deploy and optimize real-time DSP algorithms for various sensor data streams (e.g., audio, vision, motion, etc.) on resource-constrained embedded platforms.
Collaborate with algorithm and software teams to integrate DSP algorithms into the firmware.
Profile and optimize code to meet strict performance, power, and memory requirements.
Develop and maintain firmware in C/C++ for embedded systems.
Participate in the entire software development lifecycle, including requirements gathering, design, implementation, testing, and deployment.
Stay up-to-date with the latest advancements in DSP, and embedded systems.

We are looking for a DevOps & infrastructure Engineer to join our Labs team. A successful candidate will join a team of highly skilled professionals and engage with the Engineering groups activities and goals.
Responsibilities
Build, maintain, and operate on‑prem and cloud infrastructures serving internal labs and R&D related environments.
Deploy and support simulation environments that mirror customer environments using technologies such as VMware, EMC, NetApp, Tanzu Kubernetes Grid (TKG), and VRA
Work with Kubernetes (K8s) to support containerized workloads and internal engineering use cases.
Manage cloud infrastructures across AWS, GCP, and Azure for various development needs, including running POCs, simulating environments, and overseeing license and budget management.
Develop automation tools and scripts using PowerShell or other scripting languages to streamline internal processes and improve operational efficiency.
Enhance Developer Experience by building internal tools, improving development workflows, and exposing capabilities that accelerate engineering productivity.
Collaborate closely with multiple stakeholders, including development teams, support, and product managers, to ensure infrastructure meets evolving business and technical requirements.