דרושים » תוכנה » MLOps

PassportCard Labs is where innovation meets impact. As the technological powerhouse behind PassportCard, we design and build cutting-edge solutions that revolutionize the insurance industry. Whether it’s real-time claims payments or predictive analytics, our Labs team is at the forefront of driving change and shaping the future of insurance. Ready to innovate with us? We are seeking a highly skilled and experienced DevOps Infrastructure Engineer with at least 2.5 years of hands-on experience working in cloud environments such as AWS and Azure . The ideal candidate will have a strong background in automating infrastructure deployments, managing cloud environments, and working with Azure DevOps pipelines to ensure smooth CI/CD processes. You will be responsible for developing, implementing, and maintaining infrastructure as code (IaC), optimizing cloud resources, and improving the scalability and reliability of our systems. Key Responsibilities: Cloud Infrastructure Management: Design, implement, and manage scalable and secure cloud infrastructure in both AWS and Azure environments. CI/CD Pipeline Development: Build and maintain efficient Azure DevOps pipelines to automate deployments and streamline application lifecycle management. Automation & Scripting: Develop and maintain automation scripts using tools such as Terraform Ansible , or CloudFormation to provision, configure, and manage cloud resources. Monitoring & Optimization: Implement monitoring solutions to track infrastructure performance and availability and optimize resources for cost efficiency. Collaboration: Work closely with development and operations teams to design and implement infrastructure solutions that support agile development and deployment processes. Security: Implement security best practices for cloud infrastructure, including identity management, data protection, and compliance with industry standards. Incident Response & Troubleshooting: Respond to incidents and troubleshoot infrastructure-related issues, ensuring high availability and performance. Documentation: Maintain clear and up-to-date documentation of infrastructure configurations, processes, and procedures.

As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.

We are seeking a skilled and passionate Machine Learning Engineer who combines strong software engineering expertise with a deep understanding of data science and machine learning. In this role, you will be instrumental in developing and improving our ML systems, ensuring that both the underlying infrastructure and the algorithms powering our models are optimized for performance and scalability.
You will collaborate closely with cross-functional teams, including data scientists and software engineers, to implement end-to-end machine learning models that drive impactful business outcomes. Additionally, your work will ensure the continued improvement of our ML platform, which supports algorithmic work across the company.
What will you do?
As a Senior Machine Learning Engineer, your mission will be:
Improve existing ML library & tools allowing to explore and analyze more and more data and provide accurate feedback on the activities.
Create, design, develop, test and monitor your code in production autonomously and reliably.
Design, develop, and implement ML models and algorithms with a focus on robustness, performance, and scalability.
Collaborate with data scientists to identify and apply effective machine learning techniques and strategies for improved system performance.
Mentor other team members to improve their autonomy and Software Engineering skills.
Collaborate with variety of teams for production cases to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we constantly improve our ML system.

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
Are you a platform engineer who thrives on designing and building scalable, high-quality services and infrastructure?Do you want to work on cutting-edge services while shaping the backbone of an ML platform? If so, wed love to have you join our company's ML our MLOps group.
As a Senior Platform Engineer, you will play a critical role in architecting and developing cloud based core services and infrastructure with a strong emphasis on clean code, performance, observability, monitoring, and security. This role also includes developing core Go/Java libraries, cross-cutting services like authentication and authorization, Kubernetes deployments, billing etc.You will collaborate closely with engineering teams, DevOps, architects, and product managers to ensure a scalable, stable, and high-performing system.
As a Platform Engineer at our company's ML you will...
Write clean, maintainable, and efficient code following best practices.
Design and develop robust backend services with scalability, performance, and security in mind.
Conduct high-quality code reviews and architecture discussions, ensuring best practices are followed.
Take full ownership of projects - from ideation and design to production deployment and maintenance.
Collaborate with cross-functional teams to define, design, and ship new features.
Stay current with industry trends, technologies, and best practices in software development and cybersecurity.
Be involved in multiple aspects of an ML platform - from data sources to inference pipelines.

At our company, were reinventing DevOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production -- a concept we call liquid software. Wouldn't it be amazing if you could join us on our journey?
our company seeks a highly-skilled Senior Site Reliability Engineer to join our team! In this role, you will drive best practices, optimize operational workflows, and mentor junior engineers, fostering a culture of collaboration and innovation. This is an exciting opportunity for someone passionate about building and integrating services and systems that ensure the availability, performance, and reliability of our company SaaS environments. You will lead large-scale, cross-functional initiatives, You will work closely with P&E engineering and Cloud teams to design, build, and maintain scalable, resilient infrastructure while championing best practices for automation, monitoring, and incident response. If you're eager to make a significant impact in a fast-paced, high-growth environment, we encourage you to apply.
As a Senior Site Reliability Engineer in our company you will
Lead and groom the team towards technical solutions guided by a strong understanding of the latest and greatest technologies like Kubernetes, Helm, Terraform, and more
Advocate, build, and manage scalable and reliable services and infrastructure to support our company SaaS services
Apply SRE best practices, including incident management, performance and capacity planning, and disaster recovery flows
Drive the reliability, performance, and availability of our SaaS products, ensuring service-level objectives are met or exceeded
Design, develop, and manage large-scale systems with CI/CD in mind, to support multiple production environments and use cases
Tackle large-scale production issues and bring out-of-the-box thinking to the table
Evaluate new cloud-native technologies and vendor products to continuously improve our SaaS offering

we are seeking a highly skilled Senior DevOps Engineer to join our team! In this role, you will drive best practices, optimize operational workflows, and mentor junior engineers, fostering a culture of collaboration and innovation. This is an exciting opportunity for someone passionate about building next-generation DevOps platforms at scale. You will lead large-scale, cross-functional initiatives, working closely with R&D architects to shape the best DevOps strategies for our SaaS solutions. If you're eager to make a significant impact in a fast-paced, high-growth environment, we encourage you to apply.
As a Senior DevOps Engineer at our company, you will
Lead the team towards technical solutions guided by a strong understanding of the latest and greatest technologies like Kubernetes, Helm, Terraform, and more
Design, implement, and manage cloud and containerized architectures in GCP, AWS, and Azure
Design, develop, and manage large-scale systems with CI/CD in mind, to support multiple production environments and use cases
Tackle large-scale production issues and bring out-of-the-box thinking to the table
Evaluate new cloud-native technologies and vendor products to continuously improve our SaaS offerings.

At our company, were reinventing DevOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production -- a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
We are looking for a Site Reliability Engineering Manager to lead our Israel SRE team. In this role, you'll drive best practices in reliability engineering, ensuring the stability, availability, and performance of our companys SaaS services. You'll collaborate with global SRE leaders, refine processes, and foster a culture of accountability and continuous improvement.
As a Site Reliability Engineering Manager at our company you will
Lead, mentor, and develop a high-performing SRE Israel team, fostering collaboration, innovation, and accountability
Ensure SaaS reliability, performance, and availability, meeting or exceeding service-level objectives
Drive SRE best practices, including capacity planning, incident management, chaos engineering, and disaster recovery
Implement proactive monitoring, alerting, and anomaly detection aligned with SaaS standards
Collaborate with P&E and Cloud engineering teams to embed reliability into the SDLC
Oversee incident management, ensuring swift identification, escalation, and resolution
Maintain comprehensive SRE documentation, including processes, incident reports, and system architecture
Evaluate and adopt tools, technologies, and methodologies to enhance uptime and reliability.

We're looking for a Director of Engineering, Platform our company's ML to lead the engineering teams responsible for the core infrastructure, multi-cloud capabilities, and developer tooling behind our rapidly growing ML product line. This is a great opportunity to build and scale high-performance platform engineering in the context of cutting-edge ML software all with the stability, reach, and resources of our company behind you.
In this role, you will.
Lead and scale a high-impact group responsible for our company MLs core platform, infrastructure, developer productivity, and tooling.
Own and evolve multi-cloud architecture and services, ensuring reliability, scalability, and performance across AWS, GCP, and Azure.
Drive technical strategy and execution for platform components that serve as the foundation for all ML features and workflows.
Collaborate closely with Product, Security, and Customer Success to deliver enterprise-grade, compliant, and secure solutions.
Champion developer experience and internal tooling, creating a highly productive and enjoyable environment for engineers company-wide.
Recruit, mentor, and grow a team of passionate engineers and managers focused on technical excellence and speed of delivery.
Foster a culture of bold ownership, radical accountability, and a desire to win big.

We at Commit are looking for a senior DevOps Engineer with an ability to deliver, implement and design complex solutions.
Responsible for designing and implementing the principles of organization's transition into the cloud, ability to protect customers information, applications and networks in the cloud, including the connection to on-prem.
You will deliver complex production environments projects such as: servers scalability/redundency, Clusters, IoT / Analytics solutions, high workloads/transactional systems, Application migrations, PCI/HIPAA compliance, etc.

we are looking for a Azure Devops