About Classiq

Classiq Technologies is a quantum software company based in Tel Aviv. We provide a fullstack platform (IDE, high-level language, compiler, and OS) for designing, compiling, and running quantum algorithms. Backed by 70 patents and a recent $110M Series C funding round, our technology automates quantum programming and turns functional intent into executable quantum circuits. Our core compiler technology scales quantum algorithms from concept to implementation, making quantum software development faster and more practical.

The Role

We’re looking for a hands-on Tech Lead with strong Python skills who can guide people and projects. You’ll write code, set technical direction, coach engineers, and keep our standards high. Your focus is simple: help the team ship reliable software faster and with fewer surprises.

Responsibilities:

• Write and review production code—mainly in Python, with some TypeScript—aiming for clarity, performance, and maintainability.
• Lead design work: define architecture, make trade-offs, and drive projects from proposal to production.
• Mentor engineers through design reviews, code reviews, and pair programming; share best practices openly.
• Raise code quality: testing strategy (unit/integration), type hints, static analysis, docs, and automation.
• Improve developer experience: faster CI/CD, better build and test tooling, reliable local dev environments, reproducible setups.
• Work with product, infra, and compiler teams to deliver features that meet reliability, latency, and scale goals.
• Continuously reduce toil: improve observability, simplify workflows, and adopt tools that make engineers more effective.
• Leverage AI/LLM tooling to empower developers and streamline engineering processes with measurable impact on cycle time, flakiness, and onboarding.
  
  

Requirements:

• Extensive hands-on Python development in production systems.
• Strong system design and scalable architecture experience.
• Experience leading technical projects and guiding teams through design, implementation, and rollout.
• Proven mentoring and clear communication in code and design reviews.
• A habit of engineering excellence: testing, pre-commit hooks, documentation, and CI/CD.
• Comfort with modern workflows: Git, GitHub actions, and agile practices.
• Hands-on experience applying AI/LLMs to developer workflows and processes and integrating them safely into systems.
• B.Sc. in Computer Science/Engineering or related field.
  
  

Advantages



• Cloud and DevOps experience (AWS, Docker, Kubernetes); infrastructure-as-code and secure software supply chain know‑how.
• Background in developer tooling (build systems, test frameworks, artifact management, internal libraries, cluster orchestration).
• Familiarity with quantum frameworks (Classiq, Qiskit, Cirq, PennyLane).
• Familiarity with domain-specific languages.
• Open-source contributions or active involvement in developer communities.