Lead Network Observability Developer (Python)

Role & responsibilities

• As a Lead Network Observability Developer, you will be responsible for designing, developing, and maintaining AI/ML-based network observability and planning platform that enables collection, transformation, and correlation of network telemetry data from all Zurich's network service providers (NSP)
• You will play a crucial role in modern software development and digital transformation strategies by ensuring that platform is high-performance, reusable, and reliable.

• Network observability platform: Design network observability platform and product architecture, based on best practices and scalable design patterns (reliability, availability, resilience, and fault tolerance)
• Schema: Develop schemas for source data transformation and standardization to Zeek format.
• Custom Analytics: Build custom analytics algorithms that deliver intelligent/predictive/insightful data.
• Data ingestion: Design and build modern data ingestion pipelines from NSP monitoring systems.
• Collaborate with Teams: Work with other software developers and business analysts to understand user needs and translate them into technical requirements.
• Testing and Troubleshooting: Test APIs to ensure responsiveness and efficiency and identify and fix bugs or bottlenecks.
• Documentation: Document development processes, standards, and guidelines for future reference and other developers.
• Technical Support: Provide technical support for APIs, including troubleshooting and problem resolution.
• Coaches and leads teams, as necessary.
• Experience in system and software security (SSO, Kerberos, LDAP, Windows AD, etc.), ensuring robust identity and access management.
• Application of engineering principles to production management, supporting scalable and efficient operations.
• Proven track record in automation, effectively reducing manual work and enhancing workflow productivity and
consistency.

Preferred candidate profile

• Programming Languages: Python, Go (Golang), C, C++, Java, PHP, JavaScript, ReactJS, HTML
• Backend & API Technologies: RESTful APIs, GraphQL, Kafka, Airflow, Microservices, Distributed Systems (HPC)
• Cloud & DevOps: AWS, GCP, Azure, Kubernetes, Docker, Terraform, CI/CD, Jenkins, Git, OpenTelemetry, Zeek Network Security Monitoring Tool
• Data & AI: Generative AI, AI Agents, LangChain, LLM, OpenAI, Machine Learning, Data Engineering, NLP, Elasticsearch, Vector Search, MySQL, PostgreSQL, Redshift, Spark, Hadoop, Hive
• Systems & Networking: Network Telemetry, TCP/IP, Linux Systems, Profiling & Performance Optimization
• Integration Skills: Experience in integrating APIs with existing systems.
• Architecture & Engineering Practices: Software Architecture, Design Patterns, SOLID Principles, Algorithms & Data Structures, Agile/Scrum, SDLC, Observability (ELK Stack, Grafana), Jira, Postman, Maven
• Critical Thinking Skills: Ability to troubleshoot and resolve issues efficiently.
• Attention to Detail: Strong eye for detail and a meticulous approach to development.
• Communication Skills: Excellent communication skills to collaborate with cross-functional teams.