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We are looking for an experienced Infrastructure & DevOps Team Lead to take full ownership of our cloud and edge infrastructure domain.

In this role, you will act as a key technical leader within the R&D department, bridging the gap between strong software development practices and large-scale platform engineering. You will be responsible for driving cloud architecture, security, operational excellence, and scalability across both cloud environments and globally distributed edge deployments.

This is a strategic leadership role with end-to-end ownership of our infrastructure domain, ensuring our cloud and edge platforms remain scalable, secure, reliable, and cost-efficient as the company grows.

Responsibilities
Lead, mentor, and grow a team of 2-3 Infrastructure and DevOps engineers while remaining a 50% hands-on technical leader.
Own and evolve our cloud infrastructure architecture and operational strategy.
Ensure the scalability, reliability, security, and cost-efficiency of our cloud and edge platforms.
Lead infrastructure automation, Infrastructure as Code (IaC), and CI/CD best practices across the organization.
Drive cloud security, governance, observability, and incident management processes.
Partner with engineering leadership on architecture, platform strategy, and technology decisions.
Act as the primary infrastructure authority within the R&D organization and influence the company's technology roadmap.

As an Agentic AI & Algorithms Team Lead, you will lead a high-caliber team of AI engineers while staying hands-on in the codebase (~50%). You will also act as the Solution Architect for the algorithmic product, working closely with the CTO and VP Product with core influence on the product roadmap.

The AI is the core of the product, and the AI itself is the decision-maker. It performs diagnosis and root-cause analysis on complex, multi-source data (spectral, time-series, tabular, and more) to produce the conclusions the product delivers.

Key Responsibilities
Lead and mentor a focused team of algorithm engineers and data scientists building AI Agents for production-grade, decision-making systems.
Own the Agentic AI solution architecture at the core of the company's flagship product: ensure the accuracy required for mission-critical decisions, design robust guardrails, and control token consumption and cost.
Act as Solution Architect: turn ambiguous customer or internal ideas into a concrete technical specification and a working implementation.
Spend ~50% of your time writing code, focused on high-risk, critical milestones such as researching and building POCs for novel algorithmic approaches.
Work directly with the CTO and VP Product to align the algorithmic strategy with the product roadmap and core capabilities, given the deep impact this role has on both.
Work directly with industrial domain experts to translate their specialized knowledge into the AI's decision logic.