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As a Cloud FinOps Engineer, you will drive cloud cost optimization strategies, build automation and observability solutions, and lead initiatives that promote transparency, accountability, and efficiency. Youll work closely with DevOps, R&D teams to design cost-efficient architectures, implement governance standards, and deliver insights that guide technical and business decisions.

Key Responsibilities:

Cloud Cost Monitoring: Maintain close, continuous oversight of cloud infrastructure costs to ensure transparency, predictability, and control.
Real-Time Cost Alerting: Develop and deploy real-time alerting systems to detect and notify on cost spikes or anomalies.
Service Analysis & Optimization: Gain deep expertise across cloud services and conduct regular audits to uncover cost-saving opportunities.
Short- and Long-Term Cost Strategies: Design and implement plans for both immediate cost savings and long-term cloud financial efficiency.
Dashboards & Reporting: Build dynamic dashboards and reports using Grafana, Datadog, AWS Explorer, Coralogix
Automation & Tooling: Configure and manage cost optimization platforms and develop internal tools for usage analysis.
Forecasting & Planning: Produce financial models and forecasts to support cloud scaling decisions.
Multi-Cloud Optimization: Analyze and optimize costs across AWS, Azure, GCP, and OCI environments.

Were looking for an experienced Staff Engineer to join our CTO Office, focusing squarely on engineering excellence and platform scalability. Youll partner with senior technical leaders to define best practices, design and validate scalable architectures, and build the frameworks and automation that enable our teams to deliver reliable, high-performance products at scale.

On a typical day, youll
Architect for scale & reliability: Design, review and validate core platform components to support rapid growth in traffic, data volume, and feature velocity.
Elevate engineering standards: Define and evangelize coding standards, CI/CD pipelines, test automation frameworks, and observability practices.
Lead reviews & mentor: Conduct regular architecture and code reviews; coach senior engineers and drive continual improvement across teams.
Cross-functional collaboration: Work with product, security, and infrastructure teams to align on non-functional requirements (reliability, latency, throughput).
Build tooling & automation: Identify workflow gaps and develop internal tools or frameworks to automate testing, deployment, monitoring, and remediation.
Monitor & optimize: Analyze system metrics, troubleshoot production incidents, and recommend performance and reliability improvements.
Prototype & validate: Run targeted proof-of-concepts focused on operational excellencebenchmark solutions and recommend adoption plans.

As a Senior Software Engineer on the Data Platform, youll be part of one of Orcas most strategic engineering groups, tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across architecture.

Youll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across . Were currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability, and were looking for experienced engineers who are eager to make foundational impact!

Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS
On a typical day youll
Write clean, concise code that is stable, extensible, and unit-tested appropriately
Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability
Diagnose complex issues, evaluate, recommend and execute the best solution
Implement new requirements within our Agile delivery methodology while following our established architectural principles
Lead initiatives end to endfrom design and planning to implementation and deploymentwhile aligning cross-functional teams and ensuring technical excellence
Test software to ensure proper and efficient execution and adherence to business and technical requirements
Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way
Develop expertise of AWS, Azure, and GCP products and technologies

Were seeking an exceptional and highly talented Technical Writer who can bring clarity and precision to our cutting-edge products. In this role, youll work closely with our engineering and product teams to create exceptional documentation that helps our customers understand and make the most of our solutions. This is a great opportunity to work in a fun, collaborative environment that encourages creativity, innovation, and growth.
What Youll Do:

Collaborate with engineers, product managers, and subject matter experts to document new features, updates, and cutting-edge technologies
Design, develop, and maintain knowledge base articles that make complex topics easy to understand for our users
Ensure that our documentation is clear, concise, and accurate, providing comprehensive resources for both technical and non-technical audiences
Proactively update and improve existing documentation based on feedback, product changes, and industry trends
Take ownership of documentation projects from start to finish, contributing to the continuous improvement of our documentation processes

We develop innovative AI Agents (Agentic AI) that enable customers to operate, investigate, and analyze their environments intelligently and automatically through the platform. In addition, the team researches and develops new AI models to enhance user experience, optimize processes, and strengthen the cybersecurity capabilities of our products.

What You Will Do?

Design and develop Agentic AI systems, models, and an advanced infrastructure stack.
Build product components that integrate with internal systems, user experience, and advanced security features.
Research new technologies, libraries, and solutions in AI and Cyber domains.
Work in rapid sprints using Agile methodologies.
Collaborate with developers and product teams to improve processes and design system architecture.
Lead the adoption of advanced technologies and best practices in AI and Software Engineering.

seeking a sharp, execution-focused AI Optimization Specialist to lead the identification, design, and implementation of AI-driven efficiencies across all departments. This role will be instrumental in streamlining workflows, reducing costs, and improving productivity using modern AI tools and automation techniques. You will work closely with departmental leaders (Sales, Marketing, R&D, HR, Customer Success, Finance) to map processes, identify inefficiencies, and deploy scalable AI solutions.

What You Will Do
Conduct a full audit of internal operations, job roles, and workflows across the company.
Identify bottlenecks, inefficiencies, or repetitive/manual tasks that can be automated with AI.
Evaluate and implement AI tools (e.g., copilots, chatbots, workflow automation, NLP, generative AI, data analysis models).
Build and pilot internal AI use cases (e.g., automatic ticket triage, content generation, lead enrichment, meeting summarization, QA testing automation).
Collaborate with security and IT to ensure tools are secure and compliant with company standards.
Drive change management and onboard teams to AI-enhanced workflows.
Measure impact: cost savings, time-to-execution improvement, productivity gains.
Stay ahead of the curve with developments in AI tooling and assess new technologies continuously.

With world-class clients we strive to bring the highest level of service to everything we do. Our team is made up of the very best people for the job and as we grow, were always on the lookout for people with the skills, experience, and personality that will let us both shine. With high scores on Gartner, G2 and Glassdoor, our clients and employees have let us know what they love about us.

What You Will Do
Design, develop, and maintain automated testing frameworks and tools for web and API testing.
Analyze test reports, identify patterns, and draw actionable conclusions to improve quality.
Collaborate closely with engineering and QA teams to ensure seamless integration and coverage.
Create scalable and efficient test scripts using JavaScript/TypeScript with tools such as Playwright.
Leverage databases (e.g., MongoDB) and source control systems (e.g., Bitbucket, Git) to enhance testing capabilities.
Integrate automation processes into CI/CD pipelines using tools such as Jenkins.
Utilize task management and bug-tracking platforms like JIRA to report issues and track progress.
Continuously adapt to and learn new technologies in a fast-paced, dynamic work environment.

With world-class clients we strive to bring the highest level of service to everything we do. Our team is made up of the very best people for the job and as we grow, were always on the lookout for people with the skills, experience, and personality that will let us both shine. With high scores on Gartner, G2 and Glassdoor, our clients and employees have let us know what they love about us.

DESCRIPTION

Test Case Management: Define, create, and manage comprehensive test cases using tools like Qase or other test management platforms.
Automation Development: Develop and maintain E2E automation scripts using Playwright, JS-based frameworks, or .NET testing frameworks to streamline test execution.
Manual Testing: Perform thorough manual testing for complex cybersecurity environments, ensuring product stability and functionality.
Production Issue Investigation: Analyze logs, errors, and issues from production and customer environments, working closely with development teams for debugging and resolution.
E2E Testing Implementation: Design and execute end-to-end test scenarios covering critical user flows and edge cases.
Quality Assurance & Gatekeeping: Act as a product stability gatekeeper, ensuring high-quality releases by proactively identifying defects and risks.
AWS Tools (Advantageous): Experience with AWS services such as S3 for validating cloud-based workflows.

We are seeking an AI/ML Lead Engineer to join our R&D division and drive the adoption of advanced machine learning and AI solutions across our financial and operational domains. In this role, you will design and implement intelligent models that increase efficiency in collections and payments processing and build AI-driven tools that enhance call center performance and agent productivity.
We are looking for a hands-on, independent team player with strong foundations in data science, computer science, and backend engineering, combined with excellent analytical and algorithmic skills. This role is diverse and impactful, spanning machine learning development, data analysis, and backend engineering, with the opportunity to shape our AI/ML strategy for servicing and operations.
As part of the R&D group, you will work closely with engineers and product managers, leading and implementing AI/ML initiatives that directly align with our business goals and innovation vision.
Key Responsibilities:
Lead the design, development, and deployment of ML models to optimize collections and payments processing.
Develop and integrate AI-driven tools to improve call center efficiency and agent productivity.
Collaborate cross-functionally with engineers, product managers, and stakeholders to translate business needs into technical solutions.
Drive data analysis and modeling efforts, leveraging advanced algorithms to uncover insights and improve decision-making.
Ensure scalability, quality, and compliance of all AI/ML solutions within the financial and servicing domains.
Stay up to date with emerging AI/ML technologies and assess their potential impact on the companys strategy.
Mentor and guide team members, fostering knowledge-sharing and technical excellence.

We're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly skilled and innovative system Engineer to join our R&D team. In this role, you will play a crucial role in the development and optimization of our multidisciplinary system, ensuring its high performance across various applications. The ideal candidate will have a strong background in systems engineering, particularly in optical sensors and visible light cameras
Heres what youll be doing:
* Define system architecture and design for new features and products.
* Collaborate with optics, mechanics, electronics, software, and algorithm teams to develop world-class solutions.
* Support existing products, including root cause analysis and solutions to customer issues.

We are growing, and we're looking for a passionate, curious AI Adoption Specialist to join our R&D team!
We are a SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined, cloud-based systems. We help finance professionals gain control, clarity, and insight over their data from reports to forecasts to deep analytics. Now, were ready to take the next step by embedding AI into the way we build software. This is where you come in: helping our R&D teams embrace AI-powered development tools, workflows, and possibilities. If you're excited about exploring the latest AI technologies, influencing engineering culture, and making a real impactthis is the role for you.
What You'll Do:
Drive the adoption of AI-based development tools and workflows across the R&D organization.
Identify, evaluate, and experiment with emerging AI technologies that can enhance developer productivity and code quality.
Work closely with developers, team leads, and stakeholders to integrate AI into day-to-day development processes.
Act as a cross-team enabler, helping teams overcome technical and cultural barriers to AI adoption.
Lead internal initiatives, workshops, and knowledge-sharing sessions to promote AI-driven practices.
Stay up to date with the latest AI tools, SDKs, and developer-focused platforms, and assess their relevance to our tech stack and workflows.

We are looking for Cloud Engineer to join our growing Infrastructure cloud team in Tel Aviv and to take part in our effort to improve our product, productivity, security and the ability to scale.
We believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, weve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking. We are looking for a Cloud Engineer to join our growing Infrastructure cloud team in Tel Aviv and to take part in our effort to improve our product, productivity, security and the ability to scale.