Web3 AI Data Jobs in Tel Aviv, Israel

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate.

Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream.

We are looking for a Staff-level Backend Engineer who is ready to transition into an Engineering Team Lead role within 3–6 months for our Alterya team. This team operates as an innovation hub in Tel Aviv at the intersection of AI, fraud prevention, and large-scale data intelligence, where you will eventually be responsible for the growth, delivery, and technical excellence for one if its core squads.

As an Engineering Team Lead, you will be a pivotal leader in our mission. You will lead a high-performing team of engineers building and scaling the APIs and data layers that global institutions rely on to stop crime, manage risk, and fight fraud.

In this job, you’ll:

• Lead & Mentor: Drive a team of experienced software engineers, providing technical guidance, career coaching, and fostering a culture of high performance and continuous learning.

• Build & Scale Data Pipelines: Own the architecture of our ETLs and data layers. You’ll be responsible for making systems run 100x faster and handling massive data volumes with precision.

• Lead Technical Excellence: Once in the Lead role, you will mentor a team of senior engineers, driving code quality, performance-critical flows, and architectural standards.

• Drive the Roadmap: Partner with Product Managers to translate complex fraud-prevention requirements into robust, production-grade technical solutions.

• Optimize Everything: From PostgreSQL queries to Kubernetes-based deployments, you will look for ways to overhaul scalability and efficiency across the stack.

We’re looking for candidates who have:

• Deep Python Expertise: You are a Python expert who understands the nuances of the language, and knows your way around FastAPI and serving requests at scale

• The Data Mindset: You have a proven track record of building and optimizing Data Pipelines, ETLs, and Big Data systems. You know how to handle data at scale.

• AI-First Engineering Mindset: You are an "AI-First" developer who leverages AI tools to accelerate development. You understand how to support, build, and deploy tooling that employs AI (LLMs, agents, etc.) throughout the organization and tech stack.

• Seniority with Ambition: 6+ years of backend experience. You’ve likely led projects or mentored teams and are ready to officially step into a Team Lead role.

• Database Mastery: Strong familiarity with PostgreSQL (performance tuning is a plus), Redis, and BigQuery.

• Solid Communicator: You are a great communicator - highly effective at coordinating with leaders and fellow leads to solve complex problems across teams.

• Startup DNA: You prefer a "get it done" environment. You want to feel the impact of your work and thrive in a high-growth, technical culture.

• High Standards:. take pride in clean, scalable, and testable code.

You might also have:

• Experience in Fintech, Cyber-security, or Fraud detection domains.

• Deep experience with GCP (Google Cloud Platform) and Kubernetes (GKE).

Technologies we use:

• Primary: Python, PostgreSQL, Redis, BigQuery.

• Infra: Google Cloud (GCP), Kubernetes (GKE), ArgoCD.

AI at ChainalysisAI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.

About Chainalysis

Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.

You belong here. 

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.