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At Artlist, we're on a mission to revolutionize the creative industry by providing content creators worldwide with high-quality digital assets — from music and sound effects to footage, templates, and beyond. As a fast-growing, product-led tech company, we are building powerful tools that empower millions of creators to tell their stories through video. We are now looking for a FinOps Engineer to join our cloud infrastructure team and lead efforts to make our cloud operations smarter, more efficient, and financially accountable. As a FinOps Engineer at Artlist, you'll bridge the gap between finance and engineering. You'll own strategies and tooling that drive cloud cost optimization, Kubernetes resource efficiency, and cross-team visibility. This role is ideal for someone with a strong DevOps background who has spent at least 1–2 years in a dedicated FinOps role, and thrives in a cloud-native, data-driven environment.

We are looking for a Senior Software Architect to take a leadership role in designing and delivering cutting-edge, scalable, and high-performance solutions for diverse projects. In this role, you will drive pre-sales engagements, define architectural strategies, and lead the development of modern, cloud-based, hybrid, and on-premises architectures. You will collaborate closely with delivery teams, executing proof-of-concepts (PoCs), and ensuring seamless implementation. The ideal candidate will bring deep expertise in modern architecture patterns and a strong technology stack across Python, Node.js, and Java while also covering data, cloud, embedded, cybersecurity, and more.
Key Responsibilities:
Lead and define enterprise-level architectures for large-scale, complex solutions across multiple domains.
Drive pre-sales activities, engaging with clients to propose and define technical solutions that align with business goals.
Architect and implement modern software patterns (Microservices, Event-Driven, Serverless, Domain-Driven Design (DDD)) for cloud-based, hybrid, and on-premises environments.
Oversee and execute proof-of-concept (PoC) projects, evaluating emerging technologies and validating design choices.
Guide and mentor delivery teams, ensuring best practices are followed in software design, security, and performance.
Develop multi-domain architectures spanning Cloud, Data, Embedded Systems, Cybersecurity, an IoT.
Collaborate with DevOps and engineering teams to design scalable, secure, and high-performance solutions.
Ensure compliance with security standards, regulatory requirements, and performance benchmarks.
Stay ahead of emerging technologies and trends, driving innovation and strategic decision-making within the company.
Represent the company as a thought leader in technical discussions, client meetings, and industry events.

Were looking for an experienced MLOps / DevOps Engineer to design and manage the infrastructure powering large-scale machine learning systems. Youll be responsible for deploying GPU-heavy models (including LLMs) on cost-efficient, production-grade infrastructure, supporting both ML workflows and application artifact delivery.

Youll work with cutting-edge technologies like vLLM, Triton, SageMaker, ClearML, Karpenter, KEDA, and EKS, ensuring the right balance between performance, scalability, and cost.



What Youll Do

Deploy and manage LLMs and deep learning models using vLLM, Triton Inference Server, and custom API endpoints.

Build and maintain GPU-aware autoscaling clusters using AWS EKS, Karpenter, and KEDA, optimizing for cost-efficiency and performance.

Develop CI/CD pipelines using Jenkins and GitHub Actions to automate ML model delivery and application deployments.

Orchestrate training, fine-tuning, and inference jobs on AWS SageMaker and ClearML, with support for experiment tracking, versioning, and reproducibility.

Support backend teams in deploying app artifacts and runtime environments; implement rollback and release strategies.

Integrate observability tooling (e.g., Prometheus, Grafana, ELK, or OpenTelemetry) for both infrastructure and model performance.

Collaborate with SREs to enforce high availability, disaster recovery, and incident response procedures for mission-critical AI services.

We are looking for a strategic and hands-on Software Developer Engineer in Test (SDET), for our Quality Engineering Department to lead the development of cutting-edge automation solutions. This role is pivotal- join us in leading the transformation of our automation strategy and redefine how we build, test and deliver secure software at scale.
Key Responsibilities
Design and implement comprehensive system-level and end-to-end automated test suites that ensure broad and deep coverage across our product ecosystem.
Create automated test frameworks, design and implement test cases, and write code to improve software testability
Drive the adoption and implementation of automation-first and shift-left practices, embedding quality into every stage of the development lifecycle.
Collaborate closely with R&D, DevOps, Project Managers and Product teams to integrate testing into CI/CD pipelines and production environments.

Were looking for a Senior Microsoft Dynamics 365 Configurator / Developer to take the lead in building seamless, scalable internal systems that power our operations. This role is critical to deliver world-class experiences for both our teams and end users by configuring and integrating Microsoft Dynamics 365 CRM and the full Power Platform suite. Youll have significant autonomy, working across Power Pages, Power Automate, Teams, and SharePoint to design and implement best-in-class solutions. Your work will directly support regulatory compliance, partner success, and internal workflows, reducing tech debt and improving user experience.
As part of a remote-friendly team working mostly NY hours, youll collaborate with peers across time zones while growing your technical leadership.

We are seeking a highly skilled and motivated MLOps Engineer to join our team and play a critical role in the deployment, automation, and maintenance of our Machine Learning infrastructure. You will be responsible for ensuring that our ML models move seamlessly from experimentation to production with stability, security, and scalability in mind. You will work closely with data scientists, Machine Learning engineers, and DevOps teams to build robust model pipelines, manage infrastructure across on-prem and cloud, and enforce best practices in version control, model deployment, and compliance. Key Responsibilities: Design, implement, and maintain automated model training pipelines using tools such as MLflow, (Kubeflow, Airflow), or custom orchestrators. Support reproducibility and consistency across model training environments. Implement and manage Artifactory. Establish and maintain model registries to track versions, metadata, and lineage. Automate model promotion through staging, testing, and production environments. Build CI/CD pipelines tailored for ML use cases, integrating model training, validation, deployment, and rollback. Manage and scale infrastructure across cloud platforms (Azure) and on-premise environments Optimize GPU/CPU resource utilization and cost efficiency. Implement auto-scaling and load balancing strategies for ML workloads. Manage version control systems (e.g., Git) and integrate with experiment tracking tools. Handle Storage and retrieval of artifacts (e.g., Docker images, models, datasets) via artifact registries like JFrog Artifactory or AWS ECR.

You will be taking part in developing the heart of the SW in our products You will have experience in software development Python & C / C ++.
Examine full development of the project, including DevOps processes Experience in working with hardware/ Embedded systems (eg. Raspberry pi, Arduino).
Communicative, self-motivated, and self-learning.
Working according to our Quality Policy, relevant Quality Procedures & Standards, and privacy & safety rules.
Work in an Agile environment Be part of developing for a top medical company with a high impact on people's daily life

Were looking for a hands-on and experienced Software Development Team Lead to guide a talented team of full-stack engineers working on a modern application built in React, supported by TypeScript-based microservices on Node.js. This role requires a balance of technical leadership, people management, and collaborative problem-solving.
Youll work closely with product managers, designers, and other stakeholders to deliver high-quality features and scalable architecture, while ensuring best practices in engineering and DevOps.
Key Responsibilities:
Lead and mentor a team of strong full-stack developers across the frontend and backend stack
Collaborate with product, design, and QA to plan and execute on sprint goals
Ensure technical excellence through code reviews, architecture decisions, and hands-on contributions
Facilitate agile ceremonies (stand-ups, sprint planning, retrospectives)
Foster a high-performance, learning-driven culture within the team
Own the team's delivery pipeline, including CI/CD, testing, monitoring, and performance optimization
Identify and resolve tech debt, architectural bottlenecks, or scaling issues
Champion code quality, security, and performance best practices.

We are seeking a Product Manager and Technology Leader to join our OpSec team, responsible for identifying, assessing and mitigating risk associated with data exposure, external attacks and any other failures related to critical products at the core of the Israeli Security Agency's intelligence and operational activities.
The role involves working in a rich technological environment encompassing various domains, including Development. DevOps, Operations and product.
Responsibilities
Drive the operational security envelope of products throughout their entire lifecycle - from product definition to filed deployment while integration OpSec practices into development and infrastructure processes.
Implement security by design approach in the development process from the initial planning stage.

Required Cloud Solution Architect
Proactively acts as the voice of the customer/partner and internal communities leveraging relevant insights from feedback tools and systems. Proactively identifies and/or translates customer/partner problems into industry solutions. Drives self and guides other team members to focus on customer/partner experience through efficient delivery and ensuring a seamless and connected customer experience. Anticipates, identifies, escalates, and mitigates blockers using appropriate tools. Delivers solutions in line with company methodologies, ensuring proven practices and patterns are followed. Proactively identifies and anticipates new cross-solution opportunities for Consumption, Usage & Unified expansion at scale. Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record. Leverages market insights and demand signals. Leads, mentors, and may assemble virtual teams using knowledge of our architectures and their context in the competitive landscape. Proactively identifies and anticipates gaps that enable solutions to scale across customers.

As a QA Engineer, you will:
Lead technological projects, in terms of both system and quality
Design detailed, comprehensive and well-structured test plans and test cases
Identify, document and manage bugs lifecycle
Work closely with research, product, dev, DevOps and program managers to meet project timeline.

We are looking for a highly experienced Logic Design Engineer who embodies ambition and positivity. Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding experienced DevOps Engineer customer base.
Join us in this exciting journey to redefine the future of quantum computing.
Responsibilities:
Learning system and SW requirements for proper implementation of HW-SW interface
Designing a configurable and very low-latency challenging RTL
Bringing the state-of-the-art FPGA to its limits with regards to logic & timing optimization
End2end ownership of the entire coding process (Arch->uArch->Design->Implementation).

we are looking for a Technical Lead
Responsibilities
Act as a feature owner, driving the design, development, and delivery of key components in RADCOMs high-performance monitoring system.

Take technical ownership of major projects, ensuring high-quality architecture, performance, and scalability.

Design and implement efficient algorithms and data structures to optimize system functionality.

Identify system bottlenecks and implement optimizations for high-speed performance in a multi-threaded, real-time environment.

Oversee the full software development lifecycle, from architecture and design to deployment and production support.

Work closely with cross-functional teams (Product, DevOps, QA, R&D) to define technical requirements and align on project goals.

Conduct code reviews, enforce best practices, and drive technical improvements across the codebase.

Stay up-to-date with emerging technologies, evaluating their potential impact on system performance and scalability.