Solutions Engineer jobs in Tel Aviv-Yafo

Description Kela is a defense technology startup pioneering next-generation command-and-control and data infrastructure systems. We empower defense organizations with robust, scalable, and secure platforms that integrate diverse sensors and AI to deliver real-time battlefield intelligence. Backed by leading investors, Kela combines Israeli innovation with global mission impact. This role owns the technical solution for our customers end to end, from designing the deployment for a specific site and mission, through integration and commissioning, to keeping it running and evolving in production. You are the person who knows how the system actually behaves in the field, and the person customers and internal teams come to when the answer isn't obvious. Most of the work is from the offices, with travel to customer sites for surveys, deployments, and hands-on work. Requirements What you'll do • Lead site setup and integration: stand up new deployments, configure and integrate the full stack (cameras, radars, networking, edge compute, the Kela platform), and validate the system against mission requirements • Support pre-deployment work - site surveys, POCs, feasibility assessments, technical input to proposals and customer requirement documents • Be the technical owner for one or more projects: follow them from day one, know the mission and the customers, and hold the deepest context on every detail • Own ongoing maintenance and upgrades across the production fleet - version rollouts, config changes, hotfixes • Troubleshoot issues that span application, infrastructure, and network layers - the kind that don't have an obvious owner • Act as an escalation point for support and field ops engineers, and work closely with R&D, systems, algo, and design when issues need to go deeper • Feed the field back into the product: turn recurring problems and customer needs into requirements R&D can act on • Write and maintain the run books, docs, and tooling that make the next deployment easier than the last one • Communicate clearly with customers and internal teams, especially when things are time-sensitive What we need • 4+ years in solution engineering, professional services, or production engineering - customer-facing, in mission-critical environments • Systems-level thinking: able to look at a site, a mission, and a set of constraints and produce a deployment design that works • Strong Linux fundamentals and hands-on experience operating Kubernetes in production • Networking across the stack - complex topologies, cellular, satellite, VPN/overlay networks - with real experience debugging connectivity on live sites • Proficient in Bash and Python for automation and one-off investigations • Hands-on with databases and storage: queries, diagnostics, understanding what's happening under the hood • Able to read code and debug logs to trace issues to root cause • Fluent with GitHub as a daily tool • Comfortable presenting technical material to customers, including senior and non-technical stakeholders • Precise, analytical, and reflective - you draw conclusions from data, not instinct, and you make sure the same problem doesn't bite you twice • Strong ownership and a can-do mindset: you take initiative, drive tasks to completion, and finish the half-finished thing you walked past • Learns quickly and operates effectively in a fast-paced environment with shifting priorities • Clear communicator, in writing and on calls, with technical and non-technical people alike • Willing to participate in the team's on-call rotation as part of the regular routine

WalkMe, an SAP company, pioneered the world's leading Digital Adoption Platform, helping organizations navigate change across any application or system. Today it is the platform that drives AI adoption across the enterprise. Enterprise work stays fragmented across applications, and that fragmentation compounds as AI advances. Traditional training and vendor-provided help leave organizations managing change one application at a time. WalkMe guides people through change, brings AI into the flow of work, automates tasks and shows executives how workflows perform. Global leaders including IBM, Nestlé, Thermo Fisher Scientific, and the U.S. federal government trust WalkMe. WalkMe turns AI potential into AI performance. So, if you’re an expert in your field, and looking for an opportunity to work, collaborate, and innovate with some of the most talented people out there, WalkMe is the place for you! We are seeking a Technical Solution Engineer to join our growing team. This hands-on, execution-focused role combines technical solution delivery with deep customer engagement and systems analysis. Working closely with Software Engineers, Product Managers, Solution Architects, Professional Services, and Customer Success, you will translate business requirements into effective digital adoption experiences, solve complex technical challenges, and ensure the ongoing success of our enterprise customers. Key Responsibilities • Implementation & Build: Build, configure, and implement digital adoption solutions embedded within complex web applications according to defined requirements, timelines, and quality standards. • System & Process Analysis: Analyze and research customer use cases, user workflows, and application processes in web systems to design scalable technical solutions. • Technical Troubleshooting & Monitoring: Monitor production logs in backoffice systems to proactively identify and address potential issues before they impact end-users. Serve as an internal point of escalation for Support and Technical teams to drive root-cause resolutions. • Solution Architecture & Execution: Participate in solution design discussions, owning assigned build components end-to-end—including DOM manipulation, custom scripting, configuration, testing, and iterating based on feedback. • Quality Assurance & Performance: Execute thorough quality assurance testing to ensure implementations scale to millions of users while meeting accessibility, responsiveness, and cross-browser/platform standards. • Cross-Functional Collaboration: Partner closely with Software Engineers, Product Managers, Customer Success, Professional Services, and Support to ensure seamless customer deliveries and share direct product feedback with R&D. • Lifecycle Maintenance: Maintain and enhance existing digital adoption implementations through application releases, platform updates, and evolving customer processes. • Innovation & Excellence: Proactively identify innovative ways to provide customers with an outstanding product experience while advancing digital adoption capabilities. Required Qualifications • A B.A from a leading university - a must! • Full professional proficiency in English (written and spoken) with the ability to communicate clearly and eloquently. • Proficiency with JavaScript, HTML, CSS, jQuery, Web Developer Tools, and DOM Manipulation. • Knowledge and understanding of UI/UX principles. • Strong multi-tasking skills, customer-service orientation, and the ability to quickly learn new technologies and product lines in a dynamic environment. • Customer service orientation. • Ability to work independently with little direct supervision, managing assigned tasks while navigating cases of confusion or incomplete information. • Willingness to work in a hands-on and dynamic environment with a constantly evolving product. • Excellent communication skills. • Exceptional attention to detail and commitment to delivering reliable, scalable, high-quality solutions.

We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact. We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in. We are a well-funded, early-stage startup building our Founding Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions. You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow. Your Impact Customer Onboarding & Process Analysis • Engage with customers post-close to understand workflows, operational processes, and deployment requirements. • Translate findings into clear implementation plans for AI-powered solutions. Data, AI Models & Workflow Development • Partner with customers to assess data readiness and gather inputs for AI workflows. • Configure and integrate AI components into tailored, AI-driven workflows. • Collaborate with R&D to close data gaps and extend product capabilities when needed. Deployment & Proof of Value • Own end-to-end solution deployment and ensure models meet performance and business value expectations. • Define success metrics and drive adoption post-launch. Integration, Security & Rollout • Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security. • Guide customers through security, compliance, and IT approval processes. • Plan and execute rollout to drive smooth implementation and adoption. What It Takes • 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role. • Experience in the enterprise segment, specifically within the Israeli market, preferably in traditional industries such as financial services, insurance, and banking. • Strong analytical skills with the ability to translate business needs into technical solutions. • Strong understanding of AI concepts and their enterprise applications. • High adoption of modern AI tools and workflows. • Experience supporting deployments across cloud environments and enterprise system integrations. • Excellent communication and stakeholder management skills. • Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle. • Excellent Hebrew proficiency (daily client communications are in Hebrew) Nice to Have • Experience with process mining, workflow mapping, or operational analytics • Familiarity with enterprise platforms • Financial services industry experience

Description This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems. A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions. The Role We are seeking an experienced Solutions Engineer who combines strong technical depth, hands-on problem-solving capabilities, and excellent interpersonal skills. The Solutions Engineer will work closely with customers, partners, Sales, Engineering, Product Management, Support, and other internal teams to design, validate, and deliver scalable, flexible, and innovative solutions based on VAST technologies. This role combines deep technical expertise with customer engagement. The Solutions Engineer will help customers understand how VAST can address their technical and business challenges, design architectures that integrate into complex enterprise environments, develop and deliver technical demonstrations and Proofs of Concept (POCs), and troubleshoot sophisticated infrastructure and application challenges. The ideal candidate is hands-on, curious, customer-focused, and comfortable working across storage, networking, virtualization, operating systems, cloud platforms, Kubernetes, and enterprise applications Responsibilities • Understand customer technical requirements, business challenges, workloads, and existing infrastructure. • Design scalable, high-performance solutions based on customer needs and VAST technologies. • Build and present technical demos, Proofs of Concept (POCs), reference architectures, and prototypes. • Translate requirements into detailed technical designs, implementation plans, and specifications. • Deploy, configure, test, and validate VAST storage in customer, cloud, and lab environments. • Deploy and troubleshoot VAST solutions across Kubernetes, OpenShift, public/hybrid cloud, and virtualized environments. • Execute performance benchmarking, analyze workload bottlenecks, and optimize storage performance. • Analyze existing customer architectures to recommend improvements, optimizations, and integration strategies. • Troubleshoot complex infrastructure, application, networking, storage, cloud, and Kubernetes issues. • Act as a technical escalation point and collaborate with Engineering and Support to resolve issues. • Develop tools, automation, and best practices to prevent recurring technical challenges. • Create high-quality documentation, implementation guides, reference architectures, and troubleshooting procedures. • Partner with Sales and Business Development during technical evaluations and strategic opportunities. • Share customer requirements, field feedback, and product enhancement requests with Product Management and Engineering. • Research emerging technologies and evaluate integration with VAST solutions. • Develop reusable assets, automation scripts, demos, and reference environments for internal and external use. • Continuously refine methodologies for customer evaluations, performance testing, and technical enablement. Requirements Requirements • Proven experience in Solutions Engineering, Systems Engineering, Technical Consulting, or a customer-facing technical role. • Strong understanding of enterprise infrastructure and modern data center architectures. • Hands-on experience with enterprise storage technologies. • Strong knowledge of file and object protocols, including NFS, SMB, and S3. • Hands-on experience with public clouds (AWS, Azure, GCP), including networking, compute, storage, and hybrid architectures. • Hands-on experience with Kubernetes, Red Hat OpenShift, CSI, container networking, and app deployment. • Solid understanding of storage performance (throughput, IOPS, latency, concurrency, bottleneck analysis). • Practical experience benchmarking, analyzing, and troubleshooting storage performance using standard tools. • Proficiency with Linux and Windows operating systems. • Experience with virtualization platforms like VMware vSphere and Microsoft Hyper-V. • Working knowledge of Active Directory, authentication, and enterprise identity management. • Experience with backup, disaster recovery, and data protection architectures. • Strong troubleshooting skills across compute, storage, networking, virtualization, Kubernetes, and cloud layers. • Ability to quickly learn new technologies and adapt to complex customer environments. • Ability to manage multiple projects and customer engagements simultaneously. • Ability to clearly explain complex technical concepts to technical and non-technical audiences. • Strong technical documentation and communication skills. • Excellent interpersonal and cross-functional collaboration skills. • Sound technical judgment with analytical decision-making ability. Advantageous Experience Experience in one or more of the following areas would be considered an advantage: • AI/ML infrastructure and GPU environments • High-performance computing (HPC) • Hybrid-cloud and multi-cloud architectures • High-performance networking • RDMA and NVMe over Fabrics • Kubernetes storage architectures and CSI • Automation and scripting using Python, Bash, PowerShell, or similar technologies • Infrastructure-as-Code and automation frameworks such as Terraform and Ansible • Databases, analytics platforms, and data-intensive applications • Large-scale enterprise storage environments • Performance engineering, workload characterization, and benchmarking Personal Attributes • Strong customer orientation and a passion for solving complex technical problems. • Hands-on mindset with a willingness to investigate technical challenges deeply. • Ability to manage multiple priorities in a fast-paced environment. • Creative thinker who is comfortable challenging assumptions and thinking outside the box. • Highly curious and eager to learn new technologies. • Strong sense of ownership and accountability. • Excellent collaboration and teamwork skills. • Comfortable working independently while collaborating closely with local and global teams. • Flexible and adaptable in rapidly changing environments. • Strong commitment to customer success and the overall success of VAST Data.

Hybrid position, Monday–Friday At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological innovation. JFrog is a special place with a unique combination of brilliance, spirit, and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog 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? We are looking for a Senior Solution Engineer to be on the front lines, working closely with our customers and prospects, guiding them on how to build robust DevSecOps processes. You will work with our sales, product, customer success & engineering teams to help customers understand the value of JFrog Solution from a technical and business perspective. If you love working with brilliant people, being part of an energetic team and changing the world of software, you might be the perfect Frog to join our team! As a Senior Solution Engineer in JFrog you will... • Collaborate with account executives to understand Customer requirements and develop customized technical solutions. • Translate business objectives into technical requirements and solution designs. • Conduct discovery sessions, technical presentations, and product demonstrations for prospective customers • Conduct compelling Proof of Values (POVs), and product demonstrations to showcase the value and impact of JFrog solutions. • Support transition from pre-sales to post-sales, ensuring continuity and alignment of expectations. • Respond to RFPs, RFIs, and technical questionnaires. • Represent JFrog at industry events and conferences, highlighting the transformative potential of JFrog products. • Influence JFrog’s product roadmap by championing customer feedback and identifying trends in the DevOps and DevSecOps landscape. • Stay ahead of industry trends, continuously enhancing your knowledge of emerging technologies in DevOps, cloud infrastructure, and software development. To be a Senior Solution Engineer in JFrog you need... • 5-7+ years of experience in technical sales, presales, or sales engineering roles (experience with MEDDPICC is a plus). • Proven expertise in DevOps tools and methodologies, including Docker, Kubernetes, CI servers, Git, Artifactory, and build tools. • Strong experience building software pipelines using diverse DevOps tools. • Hands-on experience with Linux and cloud platforms (AWS, Azure, or GCP) – mandatory. • Familiarity with software architecture design, scalable product development, and on-premise/cloud hybrid environments. • Experience delivering POVs and technical demonstrations to diverse stakeholders, from technical teams to business leaders. • A customer-centric mindset with a "can-do" attitude and a passion for learning and solving complex problems. • Exceptional communication and presentation skills, capable of translating technical concepts into business value for varied audiences.