Devops Engineer Sr.

Esquema hibrido: 2 veces oficina presencial (Munro)



Hacer foco:

• Experiencia con DevOps

• Experiencia en monitoreo, observabilidad y herramientas como Grafana

• Conocimientos de Python y Ansible

Observability Engineer

About the Role

We are seeking an Observability DevOps Engineer, to join our Automation team and help us scale our next-generation network monitoring and telemetry platform. In this role, you will design, build, and optimize high-volume data pipelines that collect telemetry from thousands of network devices across diverse technologies (APIs, SNMP, streaming telemetry) and transform this data into actionable insights for our organization.

You'll work with our modern observability stack—Telegraf Kafka ClickHouse Grafana— managing everything from data ingestion and streaming buffers to distributed database clusters and real-time visualization dashboards. This is a hands-on technical role where you'll shape the platform roadmap, drive performance optimization at scale, and empower teams with reliable, self-service monitoring capabilities.

Key Responsibilities

Design and maintain scalable telemetry data pipelines processing high-volume network metrics, logs, and events across our Telegraf Kafka ClickHouse architecture

Manage and optimize our 3-node ClickHouse cluster, including complex query ptimization, partitioning strategies, materialized views, and distributed table design

Develop and maintain data collection workflows using Telegraf, integrating with APIs, SNMP, and various network/servers device protocols

Build and enhance Grafana dashboards and alerting mechanisms to provide real-time visibility into infrastructure performance

Automate infrastructure and platform operations using IaC principles, configuration management, and CI/CD pipelines

Collaborate with operations teams to understand monitoring requirements and translate them into scalable technical solutions

Troubleshoot and resolve platform incidents, performing root-cause analysis and implementing preventive measures

Document platform architecture, runbooks, and operational procedures to enable team scalability

Required Skills

Core Technical Competencies

Programming & Scripting: Strong proficiency in Python and Go for building platform tools, automation, and data processing

SQL & Database Expertise: Advanced SQL skills with experience writing and optimizing complex queries for analytical databases

API Development & Integration: Experience designing, developing, and consuming REST APIs for data collection and platform services

Data Structures: Deep understanding of JSON, XML, and other data formats used in telemetry and monitoring

Linux System Administration: Solid Linux administration skills for managing production infrastructure

Version Control: Proficiency with Git/Bitbucket for collaborative development and infrastructure-as-code workflows

Data Pipeline Architecture: Experience designing and operating high-throughput data pipelines and stream processing systems

Collaboration & Process Tools

Jira and Confluence for project management and documentation

ServiceNow for ticket management and operational workflows

Nice-to-Have Skills

Apache Kafka: Experience with Kafka for building streaming data platforms and managing topics, partitions, and consumer groups

ClickHouse: Hands-on experience with ClickHouse or similar columnar analytical databases (TimescaleDB, Druid)

Grafana & Loki: Experience building dashboards, alerts, and log aggregation solutions

OpenTelemetry (OTEL): Knowledge of modern observability standards and instrumentation

Infrastructure as Code: Experience with Terraform, Ansible, or similar tools for automating infrastructure provisioning

Containerization: Basic knowledge of Docker and container orchestration concepts

Shell Scripting: Proficiency in Bash and PowerShell for automation tasks

Prometheus: Familiarity with Prometheus metrics and the observability ecosystem

SRE Principles: Knowledge of SLOs, SLIs, error budgets, and reliability engineering practices

Effective Communication & Vendor Management: Ability to handle escalations, coordinate incident resolution, and maintain clear communication with third-party monitoring service providers.

What Makes This Role Exciting

Work with cutting-edge technology: Build and scale a modern observability platform using Kafka, ClickHouse, and Grafana—technologies at the forefront of high- performance data engineering

Massive scale and impact: Process telemetry from thousands of network devices and provide insights that directly impact Infrastructure reliability and performance across the organization

Platform thinking: Design systems that enable other teams to self-serve their monitoring needs, creating a true platform-as-a-service experience

Technical ownership: Drive architectural decisions, optimize performance, and shape the future direction of our observability infrastructure

Diverse technology stack: Work across the full telemetry pipeline—from device integration to distributed storage to real-time visualization

Ideal Candidate Profile

We're looking for someone who combines strong software engineering fundamentals with infrastructure and data pipeline expertise. You should be comfortable writing production code, optimizing database performance, and designing distributed systems that operate reliably at scale. Experience with observability platforms, streaming data architectures, or network monitoring systems is highly valued.

You thrive in environments where you balance hands-on technical work with strategic platform design, and you're passionate about building tools that make other engineers more productive.