דרושים » תוכנה » Operations and Production

We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.

This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities

Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.

Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into services.

Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.

Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support

we are looking for a Mid-Level, Security Engineer.
This role focuses on ensuring the security and compliance of cloud infrastructure by implementing and maintaining robust security controls across AWS environments. The position involves automation for security monitoring, adhering to best practices, and collaborating cross-functionally with other teams.
What Youll Actually Be Doing:
Cloud Security Implementation: Contribute to the design and implementation of security measures across AWS environments to ensure systems are secure, compliant, and aligned with industry best practices. Including implementation, automation and development of security policies
Conduct regular security assessments, control testing, and audits to proactively identify risks and vulnerabilities (and support remediation efforts with partner teams)
Collaboration with Internal Teams: Work closely with internal teams to integrate security best practices into development and operational workflows
Security Automation & Infrastructure Management: Design and implement automation strategies for security monitoring, auditing, and incident response
Cost Efficiency through Security: Contribute to cloud cost management by optimizing cloud resources without compromising on security.
Incident Response & Threat Management: Participate in incident response efforts to support timely identification, analysis, containment, and remediation of security threats. Contribute to post-incident reviews, help maintain incident response playbooks, and support internal teams by sharing learnings and updated procedures.

the av validation infrastructure team is looking for an experienced backend Python Developer with a strong background in data, pipelines, streaming, and databases to help us scale our infrastructure and services. our team is responsible for ensuring the safety and performance of our autonomous vehicle (av) by building the tooling, data systems, and automation that power large-scale validation. key challenges: ingest vast amounts of driving data daily, and youll help design systems to store, process, and query it efficiently.
work with both structured data (tables, metrics, logs) and unstructured data (images, logs, voice recordings, etc.), connecting them to understand vehicle behavior and av version stability.
support hundreds of internal and external users across the organization and customers, where reliability, usability, and performance are critical.
what will your job look like:
design and develop large-scale automation infrastructure and internal tooling for av validation
build and maintain data -driven services and pipelines in Python
develop and maintain restful apis and queue-based / event-driven services
work with ci/cd and infrastructure tools such as jenkins, Linux, kubernetes
work with modern data and Storage technologies, such as:
data & compute: spark (advantage)
databases / data lake: iceberg, athena, dynamodb, rds, other sql/nosql systems.

abra professional services is seeking for an experienced Linux System Administrator to join a classified defense-related project. The role involves designing, deploying, and maintaining computing solutions for complex command-and-control systems in a dynamic and heterogeneous environment. Responsibilities include:
* Deployment and maintenance of computing solutions for complex command-and-control systems
* Troubleshooting customer issues both on-site and in project laboratories across multiple locations
* Providing fast and flexible solutions for users working in complex, multi-environment development systems
* Writing technical specifications, procedures, and operational documentation
* Integrating with interfacing systems and platforms
* Working in a dynamic and heterogeneous production environment
* Full on-site position at the company’s offices in Holon (not a hybrid role)

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 a Site Reliability Engineer.
Role Responsibilities:
Write high-quality infrastructure-as-code that automates the provisioning, deployment, scaling, and monitoring of infrastructure to ensure that it is reliable and performant
Write maintainable code for product functionality with a primary emphasis on operations, scale, resiliency, and monitoring
Work with other engineers to ensure that new services are well-designed, properly monitored and have well-defined SLIs and achievable SLOs
Debug production issues, learn to mitigate them quickly, and find ways to prevent them
Maintain runbooks for manual tasks and replace those runbooks with automation whenever possible
Proactively track our capacity, quotas, and other performance limits to plan for growth
Participate in a 24x7 on-call rotation to handle product availability issues as well as urgent customer support escalations

were looking for a highly skilled Full Stack Developer to join our engineering team. in this role, youll design, develop, and maintain both backend and frontend systems that power mobileyes production and internal applications. youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms. what will your job look like?
design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
build rich, responsive user interfaces using React, angular, or vue.
develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
design and manage databases (sql and nosql), focusing on performance, reliability, and solid data modeling.
support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
build, containerize, and deploy applications using docker and kubernetes in Linux -based setups.
implement and maintain ci/cd pipelines using gitlab ci for automated testing, integration, and deployment.
work with aws services to deploy, monitor, and scale cloud-based applications.
contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.

We are seeking a Senior DevOps Engineer to own and evolve deployment and delivery platform. In this role, you will improve release reliability, Kubernetes operations, and infrastructure automation across customer environments (including air-gapped deployments) and our internal engineering platforms. This is a hands-on senior role with strong technical ownership, cross-team influence, and operational leadership as needed.



Your key responsibilities will be:

Architect, operate, and troubleshoot Kubernetes-based deployments across Rancher, OpenShift, and managed Kubernetes environments such as AKS, EKS, and GKE.
Own infrastructure automation and environment provisioning using Infrastructure-as-Code, preferably Terraform.
Build and improve CI/CD and release engineering, including artifact and version management, quality gates, repeatable deployments, and automation.
Strengthen platform security through standardized controls and disciplined operational practices (secure distribution, credential rotation, least-privilege access, auditability).
Drive operational excellence and service reliability through observability, incident response, incident reviews, and operational runbooks.
Collaborate cross-functionally to remove deployment friction and enable successful go-lives across R&D, QA, Systems/IT, and Delivery teams.
Participate in operational support and escalation handling, including time-sensitive debugging and recovery activities as needed.
Provide technical mentorship and guidance across the team through design reviews, best practices, knowledge sharing, and raising engineering standards.

We are seeking We are seeking an experienced Senior Generative AI Engineer (LLMs & Agents) to join our AI squad at KPMG. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work.
You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms.
You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities:
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Pytho
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliability, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures
Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders
Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS
Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.)
Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques
Define and refine best practices for GenAI system development and deployment
Contribute to internal accelerators, methodologies, and knowledge sharing

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.
Cool things youll do:
Our Cloud Associate TSE 1s form the front line of our cloud support team, directly responding to questions from our customers on areas such as connectivity, the availability of the Atlas service and questions about the UI or platform features. You will also be working with our engineering teams to escalate more complex customer problems. It's crucial that you ensure that questions are answered quickly and accurately and that our customers get the help they need, regardless of who provides the answers in the end. Our team combines their expertise with passion, initiative, teamwork and a great sense of humour to help our customers to be successful with around the globe.
If youre passionate about the opportunity to get comfortable working with the cloud every single day and be part of a team that works at the frontier of SaaS services and database systems, this is the role for you.