What you'll need: 8+ years of production backend or data infrastructure experience, with at least 2 years at Staff Engineer or equivalent level Excellent teamwork and communication skills, with a demonstrated ability to explain complex systems and facilitate collaborative solutions. Strong backend fundamentals; Python is our primary language, but we value engineering fundamentals over specific syntax Proven experience owning systems in production, including monitoring, troubleshooting, performance and reliability improvements Familiar with DevOps tools and practices, including CI/CD, deployment pipelines, observability, and quality assurance (unit, integration testing) Experience with AWS and storage at scale (MySQL, Snowflake, Redis) A proactive attitude and a passion for providing technical solutions that bring an immediate business impact and ensure engineering excellence Strong familiarity with AI coding tools like Claude Code, Github Copilot, Cursor, or similar. A genuine AI-first builder mindset, leveraging modern AI tools as a force multiplier to compress execution cycles, cross stack boundaries effortlessly, and ship high-impact features. It would be cool if you have: Familiarity with NoSQL data stores such as Elasticsearch Experience building and maintaining data pipelines using industry-standard frameworks like Airflow, Kafka, Delta Lake, etc Experience with Kubernetes or other container orchestration platforms Background in billing / ERP systems About us: Commerce is evolving faster than the systems built to support it. Agentic AI is redrawing how people buy. Customer expectations have a new ceiling. And bad actors are evolving alongside every advancement. Forter was built to meet this moment — and stay ahead of it. We are a human-first, AI-built company. Our technology analyzes patterns across a network of over 2 billion shoppers, delivering identity intelligence across the entire commerce journey — from sign-up to che
