Senior Software Engineer

Sobre a vaga

Senior Software Engineer to join one of our R&D teams building the AI-driven core of our product. You'll design and ship LLM-powered pipelines and agent-based systems that automate and improve how our platform finds, triages, and remediates security risk. The role involves AI-driven features, applied judgment about the AI tooling landscape, and cloud-native architecture in Go.

O que vais fazer

• Design, build, and own AI-driven features and pipelines; integrating LLMs and agent frameworks into production systems that operate at scale
• Evaluate emerging AI tools, models, and frameworks against our product needs; produce clear build-vs-buy-vs-integrate recommendations for the team and leadership
• Stay ahead of the AI landscape such as new LLM releases, agent architectures, orchestration frameworks, and techniques, and translate relevant developments into concrete engineering proposals
• Design, build, and operate the distributed microservices that these AI features run on (message queues, gRPC/REST APIs, relational databases)
• Own services end-to-end: architecture, coding, testing, CI/CD, production observability
• Deploy and operate services in Kubernetes, following GitOps practices
• Participate in design discussions and code reviews, bringing an AI-informed perspective to architecture decisions

O que é pedido

• 5+ years of professional software engineering experience, strong in Go and/or Python
• Hands-on experience building with LLMs and AI agents (LangChain, LangGraph, or similar), not just experimenting with them
• A demonstrated habit of evaluating and comparing AI tools, models, or vendors
• Experience with cloud AI services (AWS Bedrock, Azure OpenAI, Vertex AI)
• Solid understanding of distributed systems: message queues, gRPC/REST APIs, relational databases
• Experience with Docker and Kubernetes
• Strong testing, CI/CD, and observability fundamentals
• Comfortable in a multi-team microservices environment
• Excellent English communication skills

Valorizado

• A genuine research habit, following AI research/practitioner communities
• Application security knowledge
• GitOps tooling (ArgoCD, Helm), OpenTelemetry

O que é oferecido

• great work environment
• professional development
• challenging careers
• competitive compensation
• great work-life balance
• great benefits and perks throughout the year

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.