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About us Think about literally anything in your house. Your shirt. Your phone. That random IKEA wrench thingamabob you still haven’t thrown away. Odds are, it all came from somewhere else. Freight is the invisible magic trick that makes the global economy work. And we’re the ones helping it work a little bit faster, smarter, and cheaper. Freightos (Nasdaq: CRGO) is the global booking and payment platform for the trillion-dollar freight industry. Hundreds of airlines and ocean liners, thousands of freight companies, and over ten thousand importers and exporters use our platform to move goods around the world faster and more efficiently. This matters. Efficient freight ultimately makes things cost a little bit less when you buy them in the store. We’ve been on a rocketship (freight ship?) of double-digit growth for years, and we’re nowhere near done. About the Role We are looking for a hybrid powerhouse - a DevSecOps. In this role, you will be the "Ghostbuster" of our systems, an elite specialist who ensures our platform is not only lightning-fast and reliable, but also hardened against any digital threat. You are the kind of person who locks every back door behind you while keeping the gate always open for customers worldwide. Responsibilities:
* Lead security architecture and design reviews to ensure new systems and platforms meet security, reliability, and scalability requirements.
* Develop, implement, and enforce technical security standards, secure baseline configurations, and infrastructure hardening guidelines.
* Own the reliability, availability, performance, and security of production systems across the organization.
* Design, implement, and optimize secure and scalable CI/CD pipelines, integrating security practices throughout the SDLC.
* Build and maintain automation tools and operational processes to improve deployment efficiency, system stability, and security posture.
* Enhance security and observability by implementing and managing monitoring, logging, alerting, and SIEM solutions across distributed systems.
* Lead and participate in incident response activities, including threat monitoring, on-call support, and continuous improvement of operational readiness processes.
* Conduct security assessments, vulnerability management, and compliance audits to identify and remediate risks.
* Promote a security-first engineering culture by mentoring teams on secure coding, infrastructure, and deployment best practices.
* Stay current with emerging threats, vulnerabilities, attack vectors, and industry best practices, and proactively integrate improvements into engineering and security processes.
* Participate in the on-call rotation , with availability to support a global environment.

Hybrid:
Yes

We're looking for a Full-Cycle Data Engineer to join our Data & AI team and own the flow from product data sources → modeling → dashboards → insights. You'll partner with product managers, engineers, and AI teams to turn raw product data into reliable analytics infrastructure that drives decisions across the company - from individual feature bets to CEO- and CFO-level questions.
This is an end-to-end role: you'll take data products from ideation through engineering, analytics, and production deployment.
Responsibilities
Pipelines & infrastructure:
Design, build, and deploy scalable data pipelines from product and system sources in production, using Python and orchestrators like Airflow.
Work with distributed query engines such as BigQuery or Athena, with strong SQL throughout.
Build and maintain semantic data models for large-scale operational systems and data lakes, manually or with tooling like dbt.
Improve the end-to-end analytics stack, from ingestion to visualization, and collaborate with engineering on event tracking and instrumentation.
Ensure data quality, consistency, and reliability across the stack.
Analytics & reporting:
Build and maintain dashboards and reporting layers in tools like Looker or Metabase, optimized for performance, usability, and clarity
Create self-serve analytics so product and business stakeholders can answer their own questions
Support product experimentation: A/B testing, funnel analysis, feature adoption
Partnership & insight:
Translate ambiguous questions from product leads, the CEO, the CFO, and others into clear metrics, KPIs, and analytical models
Surface trends in usage and user behavior that influence the product roadmap and feature prioritization
Provide ad-hoc analysis and strategic reporting for leadership.

We are looking for a brilliant, curious, creative, and fun-loving Senior Automation Engineer with a passion for excellence and collaboration. Youll also be ready to take on a huge challenge of building and testing our applications, APIs, computation engine and financial platform! We are looking for an individual who is comfortable and excited about taking ownership and driving initiatives from beginning to end and is not afraid of anything (in tech :P). If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey!
Responsibilities:
Design and develop our manual testing and automation processes, tools and infrastructure
Be part of our core engineering team developing our services and system architecture
Take significant part of the testing & quality assurance processes wide and ensure that quality is built into every step of the development life-cycle using the latest technologies and overcoming limitations
Help define and drive our best practices and frameworks
Work closely with the product team to define the testing strategy and incorporate it in our program plans and roadmap, execute the testing plans and be the advocate for benefits of QA & automation
Influence design decisions, architectures, select/evaluate tools, and enforce a quality-based approach.

We are looking for a brilliant, curious and creative Senior Full-Stack Engineer with a passion for data thats ready to take on a huge opportunity to solve tax, and save people time and money. If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey.
Key Responsibilities:
Lead and own full-cycle (from idea to production) projects that are directly used by and impact millions of people
Work closely with the product & UX to define product requirements and execute the development plans
Design system architectures, select/ evaluate tools
Build cloud-native microservices
Mentor, and grow the team, our practices, and our technology stack

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.
Responsibilities:
Lead a team of data scientists, data engineers and product analysts
Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation
Drive excellence, code quality, and best development practices
Provide technical direction and hands-on guidance for complex AI systems
Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences
Ensure AI solutions are safe, scalable, observable, and continuously improving
Lead initiatives around product data analysis and experimentation
Analyze user interactions with product features to improve accuracy, UX, and business impact
Partner with product teams to define metrics, dashboards, and experiments that guide product improvements
Design system architectures for AI-enabled applications at scale
Evaluate and select technologies for AI platforms and data pipelines
Guide the development of prompt engineering frameworks and centralized prompt management
Ensure robust monitoring, evaluation, and feedback loops for AI outputs
Translate product and business goals into technical roadmaps and execution plans
Drive alignment between AI capabilities and measurable product outcomes.

Required SRE / DevOps Lead
About the Role
As our SRE / DevOps Lead, you'll own the reliability, scalability, and security of the infrastructure that powers our platform - a system trusted by leading wealth managers, banks, and consumer fintechs to handle some of the most sensitive financial data their users have. You'll lead a team of 2 SREs and partner closely with product engineering, security, and our compliance partners to make sure what we build runs the way our customers (and the IRS) expect.
This is a hands-on lead role. You'll set the technical direction for our cloud platform, deployment pipelines, observability, and on-call practices - and you'll write the code, configs, and runbooks that get us there. You'll also own our IT function (identity, endpoints, SaaS) at a tighter scope, keeping the company secure and productive as we grow.
What you'll do:
Lead and grow a team of 2 SREs, setting direction across SRE, DevOps, and IT
Own the architecture, performance, and reliability of our GCP-based platform - Kubernetes, Terraform, CI/CD, networking, and scale
Define and uphold our SLOs, infra budgets, on-call priorities, and incident response practice
Build and operate our observability stack so engineers can find and fix problems before customers feel them
Partner with engineering and security on the controls, evidence, and audits that keep us SOC 2, SOC1 and STIG compliant and IRS-authorized
Plan and execute capacity, load testing, and game days for tax season - the highest-stakes window of our year
Own corporate IT: identity (Okta), Google Workspace, endpoint management (Jamf / Kandji), and the SaaS stack used across the company
Set the standard for how we ship: fast, safe, observable, and reversible

We are looking for an exceptional, driven, and technically visionary Staff Full-Stack Engineer to help shape the future of our platform and accelerate our mission to simplify taxes for everyone. Youll play a central role in designing and building scalable systems and tools that enable our teams to deliver exceptional user experiences with speed and confidence. If you're passionate about technical leadership, enjoy solving complex architectural challenges, and want to make a meaningful impact on millions of users, wed love to have you join us.
Responsibilities:
Critical, cross-functional engineering initiatives from design to development and deployment, ensuring quality and scalability
Participate in technical decision-making and knowledge sharing across multiple teams
Collaborate with Product, UX, and other stakeholders to deliver seamless and data-driven experiences
Evaluate and introduce new tools, technologies, and practices that raise the bar for engineering excellence
Guide by example - service ownership, observability, and operational best practices across the engineering organization
Promote a culture of high standards, clean code, testing, and continuous improvement.

This role is centered on building infrastructure for a highly scaled automation environment - hands-on, low-level development in C ++ and Python, paired with growing a team capable of doing the same. If you thrive at the intersection of infrastructure architecture, code, and quality - and get energized by the challenge of making large-scale systems work smoothly and solutions-oriented - we'd love for you to join us.
Responsibilities:

* Lead the technical direction of the infrastructure powering our large-scale automation environment: define architecture, coding standards, and best practices across the different infrastructure components.
* Engage with Automation, R&D, Product, and other Infra groups from the earliest stages of feature development - weighing in on testability, edge cases, and environment/protocol compatibility to enable smooth, scaled development and testing.
* Mentor and grow engineers across local and remote sites - conducting design and code reviews, and raising the team's overall engineering bar.
* Drive root cause investigations of complex, hard-to-reproduce issues: race conditions, timing-sensitive failures, and environment-mismatch problems that only surface at scale.