4 дня назад
Principal Software Development Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Development Engineer (AI): Building and operating full-stack systems for customer success and support, including myF5, case management, knowledge, and agent tooling, with an accent on scalable cloud services, data platforms, CI/CD, and AI integration. Focus on designing production AI applications with RAG, embeddings, vector stores, and predictive pipelines while ensuring observability, security, and operational reliability.
Location: Hyderabad, India (SEZ)
Company
develops cybersecurity and application delivery solutions that help organizations create, secure, and operate applications.
What you will do
- Architect and deliver full-stack systems for my, case management, knowledge, and agent tooling.
- Build React/Next.js and TypeScript frontends with Node, Python, Go, and Java backends and production APIs.
- Design public-cloud architectures using managed databases, object storage, networking, IAM, and secure service-to-service patterns.
- Develop data platforms with relational and NoSQL databases, caching, search, event streams, object storage, and vector or semantic stores.
- Own CI/CD, infrastructure as code, containerization, Kubernetes operations, observability, SLAs, security, and compliance.
- Integrate enterprise platforms and mentor engineers while partnering with Product, Support Operations, Security, and ML teams.
Requirements
- 10+ years of experience building full-stack systems at scale.
- Strong experience with React/Next.js, TypeScript, and at least one of Node, Python, Go, or Java.
- Deep Azure and/or AWS experience, including compute, networking, managed databases, and object storage.
- Hands-on experience with Terraform, ARM or Bicep, CI/CD tools, Docker, and Kubernetes.
- Experience with Redis, Elasticsearch or Coveo, Kafka or Kinesis, observability, security, and production operations.
- Production experience building predictive and generative AI applications, including RAG, embeddings, vector stores, and predictive pipelines; BS/MS in Computer Science or equivalent experience.
Nice to have
- Experience with customer success or support systems, portals, or knowledge platforms.
- Familiarity with LLM integration patterns and vector databases such as FAISS or Milvus.
Culture & Benefits
- Full-time employment within a cybersecurity-focused organization.
- Collaboration across Product, Support Operations, Security, and ML functions.
- Focus on secure, observable, reliable systems and automation that improves customer and agent productivity.
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