Lead Network Observability Developer (Python)

Luxoft; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Luxoft seeks a Lead Network Observability Developer to design, develop, and maintain an AI/ML-based observability and planning platform. You will enable collection, transformation, and correlation of network telemetry data from multiple NSPs, shaping scalable, resilient architectures.

You will drive modern software practices, build schemas to standardize data into Zeek format, and craft custom analytics that deliver predictive insights. Strong collaboration and mentorship are expected.

Qualifications

• Experience designing AI/ML-based network observability platforms.
• Ability to create scalable, high-performance data pipelines.
• Knowledge of security and IAM concepts (SSO, Kerberos, LDAP, Windows AD).
• Proficiency with RESTful APIs, GraphQL, and modern microservices architectures.
• Strong collaboration with cross-functional teams and stakeholders.

Responsibilities

• Design and develop AI/ML-based network observability platform.
• Create schemas for source data transformation to Zeek format.
• Build data ingestion pipelines from NSP monitoring systems.
• Develop and optimize analytics for predictive insights.
• Test APIs for performance and reliability; troubleshoot bottlenecks.
• Document development processes, standards, and guidelines.
• Provide technical support for APIs and tooling.
• Lead and coach teams as needed.

Skills

Python

Go

C

C++

Java

JavaScript

ReactJS

HTML

RESTful APIs

GraphQL

Kafka

Airflow

Microservices

Distributed Systems

HPC

AWS

GCP

Azure

Kubernetes

Docker

Terraform

CI/CD

Jenkins

OpenTelemetry

Zeek

Grafana

ELK Stack

Postman

Jira

Maven

Big Data

Elasticsearch

Tools

Zeek Network Security Monitoring Tool

OpenTelemetry

Grafana

ELK Stack

Kubernetes

Docker

Terraform

CI/CD

Jenkins

MySQL

PostgreSQL

Redshift

Spark

Hadoop

Hive

Job description

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.