Lead Network Observability Engineer (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

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.