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We are looking for a Software Engineer specializing in ML Systems Engineering to join Finals Development department.

While vision and language models have become increasingly commoditized, Finals proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.

This is a pivotal role within Finals engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.

Required Senior Solutions Architect
Tel-Aviv, Israel Full-time Senior
About The Position
This is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.
We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.
In this position, you will be a key member in the pre-sales process, working directly with global startup customers and cross-functioning with account managers to develop AWS solutions for the customers.
Work location: hybrid from Tel-Aviv
Curious about what it's really like to work?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Meet with customers, understand their business challenges, and design AWS solutions that address them, covering architecture, cost-efficiency, scalability, and security through Statements of Work (SOW)
Analyze existing customer AWS architectures and propose improvement roadmaps
Collaborate cross-team with different departments to ensure solutions are designed according to AWS best practices
Build thought leadership in the cloud community by contributing to blogs, workshops, webinars, conferences, and more, representingus as a trusted voice in the ecosystem
Travel both locally (to meet with customers, partners, and attend local events) and abroad (at least once a quarter)

Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.
The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.
Work location: hybrid from Tel Aviv
Curious about what it's really like to work?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contribution to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter

A fast-growing global medical device company that develops and manufactures innovative drug-delivery and infusion solutions across the continuum of care, from hospital to home. We are looking for an experienced V&V Manager to lead our V&V function and team within the R&D
Job Description:
Lead the V&V function and define the verification and validation strategy for new products and design changes.
Manage, develop, and provide technical leadership to a multidisciplinary team of V&V engineers, including goal setting, workload allocation, mentoring, and performance development.
Ensure complete, risk-based test coverage and traceability from product and system requirements through test evidence and final reports.
Review and approve V&V plans, protocols, reports, deviations, and supporting technical documentation.
Oversee system-level hardware, software, mechanical, and disposable-set testing in the R&D laboratory and at external laboratories and subcontractors.
Lead experimental design, data analysis, structured problem-solving, and root-cause investigations.
Plan resources, equipment, schedules, and priorities, and monitor execution against project milestones and quality objectives.
Partner with Systems, R&D, Quality, Regulatory, Clinical, and Project Management teams, and provide V&V support during audits and regulatory submissions.
Reports to: R&D Director.

As a Staff Software Engineer, you will serve as a technical authority and play a pivotal role in scaling our core platform. Your focus will span architecture, security research, and engineering excellence:

Lead & Architect: Design, build, and scale high-performance software while driving architectural best practices across the R&D organization.
Security & AI Innovation: Drive deep-dive research into cloud, SaaS ecosystems, and AI agents to build proactive detection models, mitigation strategies, and threat intelligence.
Engineering Excellence: Elevate code quality, testing standards, system monitoring, and documentation across teams.
Cross-Functional Ownership: Partner closely with Product and R&D to translate complex security requirements into scalable technical solutions.
Scale & Optimize: Identify and resolve systemic performance bottlenecks and architectural challenges.
Mentorship & Leadership: Act as a technical mentor, driving engineering standards and fostering a strong knowledge-sharing culture.

We are looking for an experienced Senior DevOps to join our team. In this role, you will work closely with Development, Architecture and Operations teams to build, optimize and maintain our cloud-native SaaS platform, while improving platform reliability, automation, security and developer productivity.
Job Description:
Manage and optimize Kubernetes-based environments, primarily AKS.
Support production and non-production SaaS environments.
Improve platform reliability, scalability, performance and availability.
Troubleshoot infrastructure and application issues across distributed systems.
Implement monitoring, alerting and operational best practices.
Develop and maintain Infrastructure as Code solutions.
Automate cloud resource provisioning and environment creation.
Improve operational workflows through scripting and automation.
Develop reusable tools to reduce manual operational effort.
Improve CI/CD pipelines using GitHub Actions.
Enhance GitOps workflows using Argo CD.
Optimize release management and deployment automation.
Implement cloud security best practices, including IAM, secrets management and network security.
Leverage AI-powered tools to improve engineering efficiency and automation.
Direct Manager :DevOps Manager.

Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha - a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

What You'll Do
Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.