Platform Observability Engineer

Overview

This role can be located in Sao Paulo (Brazil) or Bogota (Colombia)

Please submit CV in English

Connecting clients to markets – and talent to opportunity. With 4,300 employees and over 400,000 retail and institutional clients from more than 80 offices spread across five continents, we’re a Fortune-100, Nasdaq-listed provider, connecting clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors.

Corporate: Engage in a deep variety of business-critical activities that keep our company running efficiently. From strategic marketing and financial management to human resources and operational oversight, you’ll have the opportunity to optimize processes and implement game-changing policies.

Responsibilities

Job Purpose: As a Platform Observability Engineer, you will design, build, and operate the platforms, tooling, and practices that provide end to end visibility into our systems. In the near term your primary focus will be owning and evolving our OpenSearch based logging and search platform running on Kubernetes. Over time you will work more broadly across our observability stack centered on Datadog or a similar platform, integrating complementary open source and cloud native technologies to meet strategic business goals. This role requires expertise in metrics, logs, traces, alerting, SLOs, and instrumentation, strong skills in infrastructure as code and automation, and close collaboration with security, development, product, and operations teams. You will be a hands‑on contributor who improves reliability, accelerates troubleshooting, and enables data driven engineering through first class observability.

Primary duties will include:

Design, implement, and operate scalable observability platforms and services, with a primary focus on our OpenSearch based logging and search platform on Kubernetes, and Datadog or a similar platform

Operate and improve OpenSearch clusters in production, including scaling, upgrades, index lifecycle management, and troubleshooting performance and reliability issues

Adopt instrumentation standards using OpenTelemetry where appropriate, drive telemetry by default across services and platforms

Design, build, and manage observability data pipelines that extract, transform, and route telemetry from diverse sources using tools like Cribl, Vector, Fluent Bit, or OpenTelemetry Collector

Implement data filtering, enrichment, redaction, and normalization to ensure telemetry quality, compliance, and cost efficiency

Optimize observability data lifecycle management, including tiered storage, retention policies, and archive strategies

Build actionable alerting, dashboards, runbooks, and analytics that reduce noise and improve MTTR

Implement infrastructure as code for observability resources using Terraform, including Datadog or similar providers and reusable modules

Integrate observability into CI and CD workflows, enable self‑service patterns for developers and SREs

Ensure platform stability, performance, security, and cost efficiency through proactive monitoring, tuning, retention management, and incident response

Partner with security, compliance, and architecture to enforce governance, access controls, and data policies

Create and maintain customer facing and service level documentation, and deliver training for the wider IT organization

Participate in an on‑call rotation and contribute to incident response and post incident reviews

Qualifications

To land this role you will need :

A track record of being self‑driven and solving complex problems with minimal oversight

5+ years of experience in observability, SRE, platform, or infrastructure roles

Hands on experience with Datadog or a similar platform, including metrics, logs, APM and tracing, RUM, synthetics, dashboards, alerting, and service catalogs

Experience with open source observability tools such as Prometheus, Grafana, and InfluxDB, and strong hands on experience operating Elasticsearch or OpenSearch clusters in production, ideally on Kubernetes

Experience with index design, query tuning, and index lifecycle policies in Elasticsearch or OpenSearch, including troubleshooting performance and reliability issues

Practical knowledge of OpenTelemetry concepts and instrumentation patterns

Experience with ETL or data pipeline tools (for example Cribl Stream, Fluent Bit, Logstash, Kafka, or OpenTelemetry Collector)

Understanding of data schemas, normalization, and enrichment concepts for observability data

Familiarity with log routing, sampling, and cost optimization strategies

Good working experience with Terraform or similar IaC tooling, including using modules in team environments

Experience with Docker, Kubernetes, Git, and Helm

Experience with automation frameworks like Ansible and with integrating observability into CI and CD pipelines

Proficiency in a programming or scripting language such as Python or Go for APIs, automation, and integrations

Solid understanding of Linux fundamentals, networking basics, and security best practices

Strong collaboration and communication skills in a complex platform environment

A focus on reliability, automation, and measurable service outcomes

What makes you stand out:

You champion SLOs and build a culture of telemetry first engineering

You reduce alert fatigue with thoughtful design and continuous tuning

Experience operating observability at scale for high volume, low latency systems

History of leading migrations or modernization efforts, for example consolidating tools into Datadog or rolling out OpenTelemetry

Experience building self‑service observability enablement for developers and SREs

Awareness of hybrid environments and the implications for data residency, security, and cost

Demonstrated ability to balance retention, performance, and cost with clear analytics and guardrails

Education / Certification Requirements:

Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience

Preferred certifications: Datadog, Terraform Associate, Kubernetes certifications such as CKA or CKAD

Commitment to continual professional and technical development

Work environment:

FTE type of contract

Office location in São Paulo - Rua Joaquim Floriano - Rua Joaquim Floriano 413 SAO PAULO, São Paulo 04534-011 Brazil

Office location in Bogota - Avenida Carrera 9A - Avenida Carrera 9A # 115-06/30 Edificio Torre Tierrafirme Bogotá, 110111 Colombia

Hybrid model (4 days/week in the office, 1 day/week remote)

Benefits:

Medical and life insurance

Public Transportation Support

Meal and food allowances

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