דרושים » הנדסה » Solution Engineer

we are looking for a Predictive Analytics Solution Engineer.
Typical Tasks:
Guide and assist customers in utilizing the platform and implementing AI models.
-Help customers understand complex AI concepts, identify relevant use cases, and implement solutions to drive business value.
Address and resolve technical and data-related issues.
Provide valuable feedback to the product team and collaborate to enhance the product.
Analyze model outputs and explain complex ideas in a clear, understandable manner.
Serve as the primary data and technical contact for clients, understanding and addressing their needs.

we are looking for a Customer-Facing Data Scientist.
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

We are seeking a highly motivated, technically adept, and process-oriented Customer Operations to join our growing team. In this role, you will lead strategic initiatives that automate and optimize workflows across customer and partner operations - playing a pivotal role in streamlining internal systems, building platform integrations, and ensuring scalable, secure, and reliable technical operations.
This is a highly cross-functional position that requires close collaboration with Product, Engineering, and Customer Engineering teams. You will translate operational challenges into technical solutions and drive end-to-end implementation, with a direct impact on how our team scales.
The ideal candidate brings a strong background in systems integration, API-based automation, and SaaS operations. You are passionate about reducing manual overhead, improving the customer experience, and applying technology to solve real-world business problems. You will have a unique opportunity to shape our operational tech stack and define our automation strategy at scale.
Responsibilities:
Lead the design and execution of automation initiatives that enhance internal workflows across customer success, partner onboarding, support, and technical operations.
Identify, prioritize, and scope automation opportunities that reduce manual effort, improve system reliability, and enable self-service capabilities.
Implement integrations and workflow automations between internal platforms (e.g., Salesforce, SharePoint, Slack, Jira, internal admin tools) using APIs, cloud services, and scripting tools.
Partner with Customer Engineering, Engineering, and Product teams to gather requirements, translate them into technical specifications, and manage end-to-end delivery of automation projects.
Own project planning and execution across multiple workstreams, maintaining clear documentation, proactive communication, and strong stakeholder alignment.
Drive standardization of operational processes and help scale technical infrastructure to support customer and partner growth.
Monitor, measure, and report on automation effectiveness and business impact, using data to guide continuous improvement.
Coordinate feature rollouts - from early adopter programs through full production releases - including field coordination and customer communications.
Manage and facilitate customer migrations as required.
Stay current with SaaS, DevOps, and automation industry trends, and proactively apply best practices across the team.
Perform hands-on troubleshooting and root-cause analysis of customer and operational issues, driving timely resolution.
Build, deploy, and maintain internal tools and services, including containerized deployments (Docker / Docker Compose) and supporting automation scripts.

We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience. Our architects are trusted advisors and consult our customers upon their monitoring, security & observability journey.

Solution Architect is a senior-level role expected to professionally and accurately present technical presentations across different personas, from software engineers and DevOps all the way to the C-suite.

What youll do:

Collaborate with account executives to strategize, prepare, and execute on complex, technical sales cycles.
Deliver compelling presentations and product demonstrations that highlight our unique value proposition and the solutions we provide.
Oversee the technical aspects of the sales process, including sizing, discovering and Proof of Concepts.
⁠Develop custom solutions to bridge any gaps and enhance the core offerings of our product.
⁠Possess a thorough understanding of the Observability market, advising customers on best practices and the most appropriate solutions for their needs.

We are looking for an Escalation Engineer (part of the Engineering organization) to support escalation points from both the Customer Success organization as well as internally within the engineering teams. This position may also include interfacing with customers.
Responsibilities:
Troubleshoot, debug, analyze logs, profile code & provide temporary or permanent solutions.
Work closely with engineering teams to propose fixes or temporary workarounds for critical customer issues.
Build supporting automation to improve productivity (of both yourself and the team).
Understand customer use cases and work closely with Customer Success Engineers and Solution Architects to be an effective channel between Engineering teams and Customer Success.
Take complete ownership and follow-up on escalations.
Collaborate cross-functionally to solve difficult technical problems.

Were hiring a Customer Success Engineer to work directly with customers to onboard, implement, troubleshoot, and optimize the platform- across Linux, Kubernetes, IAM, and secure access workflows. Youll be the primary technical contact: diagnosing issues, guiding best practices, collaborating with Product/Engineering on escalations, and turning learnings into repeatable runbooks that keep deployments stable and effective.
Responsibilities:
Deliver a smooth onboarding experience and drive adoption/expansion for existing customers.
Proactively identify opportunities to drive customer success and product adoption through architectural guidance, hands-on enablement, and technical planning.
Investigate and resolve our cases (secret access, authentication, certificate workflows, remote access) while guiding secure configuration and best practices.
Reproduce issues in test environments (Linux, Docker, K8s) to isolate root causes.
Write KB articles to streamline troubleshooting and improve customer experience.
Learn customers business and challenges; log and communicate requirements; partner with Product & Engineering to escalate/validate fixes, contribute to team processes, internal tooling, and advocate for customers.
Act as a trusted advisor and support critical issues.

We are looking for an exceptionally strong software engineer to join our Technology organization. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow - from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice.
Design and build data pipelines and the data layer.
Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale.
Implement and enhance quant-related software systems for data, research, portfolio construction, and trading.
Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions.
Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation.
Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows.
Use AI coding assistants and agentic developer tools to ship higher-quality software faster.

We are looking for a Technical Support Engineer to join our highly experienced global team.

The Technical Support Engineer role embodies the critical intersection of technical expertise and a focus on customer satisfaction.

This role is tasked with helping customers with giving answers to technical questions, solution architecture, and ensuring successful adoption of the Platform.



What Youll Do

Serve as our customers single point of contact for any tech-related matters
End-to-end ownership of customer support cases from opening until closure, ensuring customer satisfaction
Establish relationships and engage with technical counterparts to drive product adoption and expansion
Train and coach customers to a successful onboarding process and ongoing usage
Advocate internally for customer needs - be the technical voice of the customer within Coralogix
Contribute to our knowledge base by creating documentation, video tutorials, and predefined answers to common issues
Prioritize and manage several open issues at one time
Properly escalate unresolved issues to the appropriate internal teams

As a Senior Big Data Engineer, working within Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.
RESPONSIBILITIES:

Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

Were looking for a Fraud Data Analyst who combines deep technical analytical skills with a strategic mindset and a curiosity for identifying fraud signals and driving trust in the fintech domain. Youll partner closely with product, engineering, and support teams to turn complex data into automated detection models, scalable protocols, and measurable business protection.
As a Fraud Data Analyst, you will be responsible for safeguarding the platform by identifying, investigating, and mitigating fraudulent activity. Your goal is to move beyond manual ticket handling by architecting scalable investigation protocols, automating detection logic, and providing strategic data insights that reduce the teams dependency on manual intervention.
Responsibilities
Lead complex transactional data into insights for suspicious patterns.
Design and maintain Standard Operating Procedures (SOPs) for fraud investigations to ensure consistent, repeatable, and fast resolution times across the team.
Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
Communicate findings clearly to stakeholders - Product, BE, etc. influencing both tactical and strategic decisions.
Partner cross-functionally to translate data findings into actionable product and business decisions.
Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.