DevOps Developer – AI Initiative

Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape the future of cybersecurity and redefine the intersection of networking and security. At Fortinet, our mission is to safeguard people, devices, and data everywhere

We're seeking a versatile engineer who thrives at the intersection of software development, infrastructure, and applied AI. This is a hands‑on role for someone who not only writes clean, production‑ready code but also takes ownership of deploying, monitoring, and scaling it in real‑world environments. You'll be instrumental in building and operationalizing GenAI‑powered systems, bridging the gap between innovative AI capabilities and reliable production infrastructure.

Development & Engineering

• Design and implement production‑grade applications and services, writing code that other engineers will build upon

• Build APIs, microservices, and full‑stack applications that integrate LLMs and GenAI capabilities into production workflows

• Develop tooling and frameworks that make GenAI adoption easier and more reliable across the organization

Dev Ops & Infrastructure

• Own the deployment pipeline from code commit to production, including CI/CD automation, containerization, and orchestration

• Manage cloud infrastructure (AWS/GCP/Azure), ensuring systems are scalable, resilient, and cost‑effective

• Implement monitoring, observability, and incident response practices to maintain system reliability

Applied GenAI

• Integrate and optimize LLM‑based solutions, working with APIs from providers like OpenAI, Anthropic, or open‑source models

• Develop prompt engineering frameworks, retrieval‑augmented generation (RAG) systems, and agent‑based architectures

• Evaluate and iterate on AI system performance, balancing accuracy, latency, cost, and user experience

Technical Foundation

• 5+ years of software engineering experience with strong proficiency in modern programming languages (Python, Go, Type Script/JavaScript, or similar)

• Deep understanding of system design, APIs, databases, and distributed systems

• Hands‑on experience with cloud platforms (AWS/GCP/Azure), containerization (Docker/Kubernetes), and infrastructure‑as‑code (Terraform, Cloud Formation)

Dev Ops & Operations Mindset

• Proven track record of deploying and maintaining production systems at scale

• Experience with CI/CD pipelines, automated testing, and deployment strategies

• Comfort with debugging production issues, analyzing logs, and implementing fixes quickly

• Have concept on AI cost and Fin Ops

GenAI & ML Experience

• Practical experience building and maintaining
  applications with LLMs or other GenAI technologies

• Understanding of agentic frameworks (e.g. Lang Chain, Lang Graph), protocols (e.g. MCP, A2A), vector databases, embeddings, and semantic search

• Familiarity with AI/ML workflows, model evaluation and responsible AI practices

Cybersecurity Understandings

• Strong grasp of secure coding practices, including input validation, authentication, and authorization patterns

• Experience implementing secrets management, API key rotation, and secure credential handling in production environments

• Understanding of data privacy concerns specific to GenAI systems, including prompt injection risks, data leakage prevention, and PII handling

• Knowledge of network security, encryption in transit and at rest, and secure cloud architecture patterns

Working Style

• You're pragmatic and results‑driven, preferring working solutions over perfect abstractions

• You take ownership of problems end‑to‑end rather than throwing work over the wall

• You're comfortable with ambiguity and can navigate the rapidly evolving GenAI landscape

• You're comfortable to collaborate with colleagues in geographically distributed teams

Nice to Have

• Experience with MLOps platforms and model serving infrastructure, background in both traditional software engineering and data/ML engineering roles, contributions to open‑source projects in the AI/ML space.

• Certifications on public clouds, Kubernetes (e.g. CKAD / CKA), cybersecurity (e.g. from ISC2) and Fortinet (i.e. NSE) is a plus!

The GenAI revolution requires engineers who can move beyond…