Senior SRE - Kubernetes & Cloud Reliability (Mexico)

Sezzle

Mexico

Hybrid

PHP 4,819,247 - 8,261,566

Full time

14 days+
Application generator

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Job summary

Sezzle is seeking a Senior Site Reliability Engineer to join a fast-growing team responsible for scalable infrastructure and reliable services. You will own architecture decisions, implement robust monitoring, and drive automation across distributed microservices.

The role emphasizes deep expertise in Golang, RESTful APIs, and modern observability practices, with leadership responsibilities and opportunities to mentor engineers and scale systems using Kubernetes and AWS.

Qualifications

  • 12+ years of professional software or infrastructure engineering experience.
  • Deployed production changes in the last 30 days.
  • Strong proficiency in Golang with RESTful APIs.
  • SQL-based RDBMS (MySQL/PostgreSQL) and performance tuning.
  • Familiarity with observability tools (Prometheus, Grafana, Datadog, New Relic).

Responsibilities

  • Architect, upgrade, design, and build scalable infrastructure using Kubernetes, AWS, RDS (MySQL/Postgres).
  • Drive the infrastructure team's roadmap for reliability, recoverability and scalability.
  • Lead capacity planning, benchmarking, and stress testing for growth.
  • Define, maintain and enforce SLAs and alerts across infrastructure.
  • Mentor engineers and promote engineering best practices and CI/CD standards.
  • Collaborate to translate business goals into technical roadmaps and deliver results.

Skills

Golang
REST APIs
Observability
Distributed systems
Leadership

Education

Bachelor's degree in Computer Science

Tools

Prometheus
Grafana
Datadog
New Relic
AWS Aurora RDS

Job description

Sezzle is seeking a Senior Site Reliability Engineer to join a fast-growing team responsible for scalable infrastructure and reliable services. You will own architecture decisions, implement robust monitoring, and drive automation across distributed microservices.

The role emphasizes deep expertise in Golang, RESTful APIs, and modern observability practices, with leadership responsibilities and opportunities to mentor engineers and scale systems using Kubernetes and AWS.

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