Lead Network Observability Developer

Luxoft; Schweiz; Vor Ort; CHF 140.000 - 190.000; Vollzeit

Zusammenfassung

Luxoft is seeking a Lead Network Observability Developer to design, develop, and maintain an AI/ML-based network observability and planning platform in Zurich. You will enable collection, transformation, and correlation of network telemetry data from Zurich's NSPs, driving high-performance, reusable software solutions.

The role emphasizes platform architecture, data schemas, and custom analytics. You will collaborate with software engineers and analysts to translate user needs into scalable APIs

Qualifikationen

• Proficient in multiple programming languages including Python, Go, C/C++, JavaScript.
• Experience with RESTful APIs, GraphQL, and data streaming (Kafka).
• Strong background in cloud platforms (AWS, GCP, Azure) and containerization (Kubernetes, Docker).
• Knowledge of CI/CD, Terraform, and infra-as-code practices.
• Familiarity with observability tools (ELK, Grafana) and OpenTelemetry.
• Experience with distributed systems, HPC concepts, and network telemetry.
• Ability to translate user needs into scalable software architecture.

Aufgaben

• Design and build an AI/ML-based network observability and planning platform.
• Create schemas for data transformation to Zeek format.
• Develop analytics algorithms for predictive insights.
• Build data ingestion pipelines from NSP monitoring systems.
• Collaborate with cross-functional teams to capture requirements.
• Test APIs for performance and reliability; troubleshoot bottlenecks.
• Document development standards and guidelines for future teams.
• Provide technical support for APIs and related tooling.
• Lead and coach teams as needed.
• Ensure security with IAM technologies (SSO, Kerberos, LDAP).
• Apply engineering principles to production management and operations.
• Drive automation to reduce manual effort and improve workflows.

Kenntnisse

Python

Go

C

C++

Java

JavaScript

RESTful APIs

GraphQL

Kafka

Airflow

Microservices

Distributed Systems

AWS

GCP

Azure

Kubernetes

Docker

Terraform

CI/CD

Jenkins

OpenTelemetry

Zeek Network Security Monitoring Tool

ELK Stack

Grafana

Jira

Postman

Maven

Git

Tools

Zeek Network Security Monitoring Tool

ELK Stack

Grafana

Jira

Postman

Maven

Git

Kubernetes

Docker

Jobbeschreibung

Project description

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.

Responsibilities

• 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 andconsistency

SKILLS

Must have

• 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.

Nice to have

• Strong understanding of reliability and production management, with a focus on maintaining high availability and stabilityacross services.
• Risk‑aware mindset with knowledge of key operational risks in financial institutions, applying this insight to develop resilient and compliant solutions.
• Promotes a culture of continuous improvement, driving proactive enhancements in processes and systems.