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DevOps Engineer/Part-Time Estimated workload : 30–50 hours per month Engagement Type: Freelance / Contract Availability: Flexible (hours to be defined). Start Date: Immediate / Flexible


Responsibilities:

* Design, implement, and maintain CI/CD pipelines
* Manage AWS cloud infrastructure
* Automate deployment, monitoring, and scaling processes
* Improve system reliability, performance, and security
* Collaborate closely with development and product teams
* Troubleshoot production issues and provide ongoing DevOps support

Biz Dev:
R&D

Remote/Part time:
Remote/Part time

Senior Formal Verification engineer - Networking (6034) A unique opportunity to take part in building an R&D team for a global company.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease. Riversides technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
What Will Make You Stand Out?

* 6+ years of production-grade Python development experience.
* Strong background in distributed systems: Youve built and debugged complex, event-driven architectures (e.g., Kafka, microservices).
* Expertise in data Engineering at scale: Experience building massive data pipelines and architecting data Lakes (S3) with compute layers like Athena for large-scale analysis.
* Deep understanding of the MLOps lifecycle: Experience taking models from training to deployment, including versioning and performance monitoring.
* Experience with containerized environments, microservices, and Kubernetes.
* Experience with workflow management frameworks (Temporal, Airflow) and asynchronous programming.
* Experience with cloud platforms (AWS preferred) and model-serving frameworks (Triton, VLLM/SGLang, Ray Serve).
* A love for exploring new tech and the drive to implement modern frameworks that move the needle.
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riversides your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if thats not enough, we guarantee that your ideas will genuinely make an impact.

We help enterprises and service providers empower their data -driven competitive advantage at scale. We are a leading provider of enterprise-class Storage solutions. The companys software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing Storage technologies. Were looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of our Core team. The selected candidate will be part of a professional team that develops in C ++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.
Responsibilities:
* Implement new features.
* Optimize the performance of our existing features.
* Be in charge of constantly improving our infrastructure.
* Understand our most complicated algorithms in order to own, fix and improve our feature.

we are looking for a Junior data Analyst to support our growing team. we are a global?software (SaaS) company?that drives smarter, better business interactions with its knowledge management solutions. We use advanced technologies and take an innovative approach to building knowledge management solutions. This is an amazing opportunity to join a hyper-growing company and to make a real impact! we are an industry leader in knowledge management, working with?Fortune 500?enterprise-level customers. If you're interested in the intersection of technology, innovation, and knowledge, this is the place to be. We are growing our R&D center and looking for a data Analyst to support the creation of high-quality datasets that help evaluate AI models and search functionality.
Responsibilities:

*  Assist in building and organizing datasets to evaluate AI models and search performance.
*  Collect and format structured and unstructured data (mainly text-based).
*  Run evaluations on AI outputs using predefined quality metrics.
*  Generate summary reports, charts, and statistics to communicate results clearly.
*  Help monitor dataset quality and consistency across experiments.
*  Document dataset creation steps and maintain version control.
Advantages:

* Interest in AI, NLP, or search relevance systems.
* Prior coursework or projects involving data analysis or Machine Learning.
* Basic data visualization skills (matplotlib, seaborn, or similar).
* Curiosity and a willingness to learn about real-world AI evaluation.

Algorithm team lead (6033).
We develop some of the worlds most advanced electro-optical systems, from space-based sensors and long-range surveillance to Real-Time defense solutions.

We are looking for a hands-on Algorithm team lead who combines deep technical expertise with strong leadership, and knows how to turn cutting-edge AI into robust, Real-Time products running on edge hardware.
What youll do:
Lead and mentor a team of computer vision and AI engineers (hands-on).
Design, develop, and deploy advanced Computer Vision, ML, and Deep Learning algorithms.
Drive end-to-end solutions: from research and PoCs to Real-Time operational systems.
Define the technical roadmap for AI and Computer Vision.
Work closely with software, hardware, and product teams to deliver production-ready solutions.

abra R&D is looking for a strong C# developer to join our team! Job Description
* Design, development, and maintenance of core components in complex, high-performance, multidisciplinary systems.
* End-to-end responsibility for database architecture, implementation, optimization, and maintenance (SQL/NoSQL).
* Requirements analysis and creation of detailed software design specifications.
* Planning and execution of system integration and system-of-systems deployments for internal and external customers.
* Participation in formal system delivery and acceptance processes for customers in Israel and abroad.

?? Help Us Revolutionize Love with AI!?? Tel Aviv, Hybrid
Hey there! We're Mylo AI, a revolutionary dating startup changing how people find love by matching them based on their authentic vibes. We're looking for a fantastic Senior backend Developer to join our adventure and make a real impact!
What You'll Do:
? Architect, develop, document, and TEST highly scalable cloud microservices
? Analyze the landscape of existing and upcoming solutions for continual improvement of Mylos cloud infrastructure
? Work with our data teams to analyze and prioritize the development and release of new features
? Upskill and investigate our architecture and AI technology

We're seeking a Senior Full Stack Engineer with a backend orientation to take the development of high-performance, scalable, and distributed systems powering our analytics platform. You will drive the implementation of backend and frontend systems and contribute to data-driven capabilities at scale. Youll collaborate with product managers and other engineers to bring innovative features to life and deliver high-impact solutions to our customers.
RESPONSIBILITIES
Design and develop backend architecture for scalable, high-performance systems
Build a next-generation analytics web app on React
Build robust APIs and data services to power a next-generation analytics platform
Work with distributed systems, databases, and cloud infrastructure to ensure reliability and speed
Maintain and optimize backend & frontend services, pipelines, and application logic
Participate in code reviews, design discussions, and architectural planning.

Were looking for a Senior Data Analyst to help ensure the quality, completeness, and integrity of our foundational data. Youll work closely with data engineers, product managers, and operations teams to monitor pipelines, evaluate new data sources, design performance metrics, and derive insights that improve our entity models and customer outputs.
This role is ideal for a highly analytical and independent thinker who enjoys working with complex data ecosystems and translating messy real-world data into actionable insights.
RESPONSIBILITIES
Data Quality & Metrics
Define and maintain KPIs and quality metrics for POI and chain data accuracy, coverage, and freshness.
Monitor large-scale ingestion and enrichment pipelines, identifying anomalies, data drifts, or source inconsistencies.
Operational Analytics
Design dashboards and tools to track data health, system performance, and SLA compliance.
Provide visibility into the performance of automated systems and manual processes across the Foundation domain.
Cross-functional Collaboration
Work with engineers to validate and optimize merge, enrichment, and geocoding logic.
Partner with product and operations to assess the impact of data changes on downstream systems and customer-facing products.
Exploration & Research
Evaluate new data providers, test hypotheses about data behaviors, and contribute to decision-making for third-party integrations.
Develop data-driven recommendations to improve POI modeling and chain linkage accuracy.

Were looking for a hands-on Individual Contributor Data Engineer to design, build, and operate large-scale data products. Youll own mission-critical pipelines and services, balancing pre-computation with on-demand execution to deliver complex, business-critical insights with the right cost, latency, and reliability.
RESPONSIBILITIES:
Design and run Spark data pipelines, orchestrated with Airflow, governed with Unity Catalog.
Build scalable batch and on-demand data products, aiming for the sweet spot between pre-compute and on-demand for complex logic - owning SLAs/SLOs, cost, and performance.
Implement robust data quality, lineage, and observability across pipelines.
Contribute to the architecture and scaling of our Export Center for off-platform report generation and delivery.
Partner with Product, Analytics, and Backend to turn requirements into resilient data systems.

We seek a Senior Full-Stack Engineer to join our team and play a key role in designing, building, and scaling our core products.
The ideal candidate will combine strong hands-on technical expertise with leadership potential, driving end-to-end development while mentoring team members and laying the foundation for future managerial responsibilities.
What You Will be Doing:
Developing high-quality, efficient code in modern programming languages like JS (React and Node.js).
Collaborating with cross-functional teams to design and implement new features.
Driving continuous improvement by implementing best practices and optimizing code performance.
Conducting thorough code reviews, mentoring junior team members, and fostering a culture of learning.
Staying updated on the latest technologies and providing technical leadership in full-stack development.
Assisting in project planning, estimation, and maintenance of existing applications.

Were looking for a Senior Backend Engineer to join our core engineering group and build the systems behind one of the worlds largest location-analytics platforms.
In this role, youll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If youre motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.
RESPONSIBILITIES:
Design, build, and evolve large-scale, distributed backend systems that powerour data and AI products
Own services end-to-end - from architecture and design to production, monitoring, and continuous improvement
Drive performance, scalability, and reliability, using data and metrics to guide decisions
Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
Raise the engineering bar through code reviews, design discussions, and technical mentorship.