Senior Software Engineer - Detection Infra

Reposted 2 Months Ago
Be an Early Applicant
Tel Aviv, ISR
Hybrid
Senior level
Security • Software • Cybersecurity
The Role
Senior backend engineer to lead design and implement high-scale XDR detection systems. Build and maintain Big Data/ETL pipelines, optimize databases, collaborate with Product/Frontend/ML/DevOps, and deploy production-ready, low-latency detection services.
Summary Generated by Built In

Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape the future of cybersecurity. We are currently seeking a dynamic Senior Software Engineer to contribute to the success of our rapidly growing business.

About the team:

The Detection Infra team builds Fortinet's next-gen cyber-detection engine, protecting customers from account takeover, malicious traffic, phishing, and data loss at massive scale. We own our data platform end-to-end — including our own large-scale data warehouse — and we're expanding our AI-powered engines to resolve real customer pains, faster. In addition to our own projects, we work closely with the broader Detection Group, supporting and accelerating initiatives that intersect with our domain.

As a Senior Engineer on the Detection Infra team, you will need to:

  • Lead product and technical design — including writing and reviewing technical RFCs — and take features from idea to production
  • Be skilled in system design, with real production-environment ownership
  • Have strong communication skills for cross-team collaboration, including Product, Frontend, ML, and DevOps teams
  • Leverage AI in Development by integrating AI-driven tools into your daily workflow to accelerate coding, automate testing, and streamline code reviews, maximizing development efficiency.

We Are Looking For:

  • 5+ years of experience as a Backend Engineer in production environments (Python and FastAPI – advantage)
  • Big Data / ETL pipeline development experience (AWS Lambda, Kinesis, and DynamoDB, or equivalents)
  • Hands-on experience with Snowflake or a similar large-scale data warehouse — experience owning cost/performance at scale is a strong plus
  • Strong SQL and data modeling skills
  • Deep understanding of relational databases (e.g., PostgreSQL) and non-relational databases (e.g., DynamoDB, Elasticsearch/OpenSearch)
  • Solid understanding of system design and data architecture principles

Advantage:

  • Experience building LLM-powered features or applications (e.g., LangChain/LangGraph, RAG, Bedrock/OpenAI)
  • Experience with Kubeflow or another DAG-based pipeline orchestration platform
  • Experience designing and implementing REST APIs and real-time, scalable production systems
  • Experience with Docker and Kubernetes for deployment and orchestration
  • Experience with Redis

Why Join Us:

At Fortinet, we embrace diversity and inclusivity. We encourage applications from diverse backgrounds and identities. Explore our welcoming work environment designed for a rewarding career journey with an attractive Total Rewards package to support you with your overall health and financial well-being. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

We will only notify shortlisted candidates.


Fortinet will not entertain any unsolicited resumes, please refrain from sending them to any Fortinet employees or Fortinet email aliases. Should any Agency submit any resumes to Fortinet, these resumes if considered, will be assumed to have been given by the Agency free of any related fees/charges.

#LI-Hybrid 


Skills Required

  • 4+ years as a Backend or Data Engineer in production environments
  • Deep understanding of relational databases (PostgreSQL, MySQL)
  • Experience with non-relational (NoSQL) databases
  • Big Data and ETL pipeline development experience
  • Experience with large-scale data platforms (Snowflake, Firebolt, BigQuery)
  • Strong SQL and data modeling skills
  • Familiarity with cloud environments
  • Solid understanding of system design and data architecture principles
  • Production environment experience and ability to implement features from ideation to deployment
  • Strong communication and cross-team collaboration skills
  • Python
  • Snowflake (advantage)
  • AWS (advantage)
  • Redis (advantage)
  • Elasticsearch (advantage)
  • Designing and implementing REST APIs and real-time, scalable production systems
  • Docker and Kubernetes for deployment and orchestration
  • Machine Learning experience or exposure

Fortinet Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fortinet and has not been reviewed or approved by Fortinet.

  • Equity Value & Accessibility — Equity in the form of stock awards and RSUs is highlighted as a meaningful part of total compensation and one of the package’s strongest advantages. Recognition programs may include stock, further emphasizing equity’s role in rewards.
  • Strong & Reliable Incentives — Performance bonuses and incentives are presented as key components of total rewards, with some roles achieving strong total compensation through these elements. Incentive opportunities are described as a major strength when included in an offer.
  • Retirement Support — A 401(k) plan, often with matching contributions, and broader retirement and savings programs contribute to solid financial security. These elements are positioned as competitive features of the package.

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The Company
HQ: Sunnyvale, CA
10,357 Employees
Year Founded: 2000

What We Do

Fortinet develops and sells cybersecurity solutions.

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