Dynatrace Senior Engineer

Location: Monterrey, Nuevo Léon, México (MX)

Experience Level: Senior

Description

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "Rise™." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing.

This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong.

We are currently searching for a Dynatrace Senior Engineer:

Responsibilities

• Advanced Implementation: Lead the implementation and optimization of Dynatrace monitoring, log analytics, automation, and integration solutions.
• Core Monitoring: Implement and refine Synthetic Monitoring, dynamic dashboards, intelligent alerting, and automated reporting.
• Log Management & Pipelines: Drive log migration initiatives, build robust ingestion pipelines, and lead query conversion activities to centralize observability data.
• Automation Engineering: Develop and deploy automation for onboarding processes, monitoring tasks, and day-to-day operational workflows.
• Enterprise Integrations: Lead integrations with ITSM tools (specifically ) and drive SLO/SLA monitoring and broader reliability initiatives.
• Advanced Troubleshooting: Actively investigate and resolve complex performance bottlenecks, monitoring blind spots, and ingestion issues.

Requirements

• Experience: 4–6 years of proven experience in Dynatrace, Observability, SRE, or DevOps roles.
• Dynatrace Mastery: Strong, hands-on experience with Synthetic Monitoring.
• Data & Analytics (Crucial): Deep expertise working with Grail (Dynatrace's data lakehouse) and writing complex queries using DQL (Dynatrace Query Language).
• Infrastructure Knowledge: Solid experience working with modern Cloud platforms and containerized environments (Kubernetes).
• Automation & Scripting: High proficiency in scripting languages (e.g., Python, Bash) to drive monitoring automation and migrations.
• Problem Solving: Exceptional troubleshooting skills with a focus on root-cause analysis in distributed systems.

Desired 

• Dynatrace Professional Certification.

Languages

• Advanced Oral English.
• Advanced Spanish.

Note:

• Hybrid

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/

Requirements

• Experience: 4–6 years of proven experience in Dynatrace, Observability, SRE, or DevOps roles.
• Dynatrace Mastery: Strong, hands-on experience with Synthetic Monitoring.
• Data & Analytics (Crucial): Deep expertise working with Grail (Dynatrace's data lakehouse) and writing complex queries using DQL (Dynatrace Query Language).
• Infrastructure Knowledge: Solid experience working with modern Cloud platforms and containerized environments (Kubernetes).
• Automation & Scripting: High proficiency in scripting languages (e.g., Python, Bash) to drive monitoring automation and migrations.
• Problem Solving: Exceptional troubleshooting skills with a focus on root-cause analysis in distributed systems.