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Senior Operational Intelligence Developer

Senior Operational Intelligence Developer

EPAM SystemsColonia México, Mexico
Hace 4 días
Descripción del trabajo

Overview

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a highly skilled Senior Operational Intelligence Developer to join our team, responsible for supporting, enhancing, and maintaining our Elastic & Observability Platform deployed across GCP and Elastic Cloud. This role will involve developing innovative solutions, maintaining platform reliability, and enabling self-service capabilities to empower platform consumers while participating in an on-call rotation to oversee platform health and functionality.

Responsibilities

  • Ensure availability, functionality, performance, and security of observability and search platforms to meet business SLAs
  • Respond to incidents and resolve escalations promptly during on-call periods
  • Maintain platform documentation, standard operating procedures, and operational guidelines
  • Collaborate with stakeholders and vendors to manage operational requirements, installations, and upgrades
  • Enhance platform features and self-service capabilities, including Elastic Synthetics and chargeback automation
  • Design proof-of-concepts for operational improvements like AI-driven observability or Kubernetes migration
  • Build, deploy, and maintain Elastic clusters using Infrastructure-as-Code (IaC) tools like Terraform and Ansible
  • Perform platform lifecycle management activities such as component upgrades, capacity planning, and cost optimisation
  • Fine-tune ELK stack performance across ingestion, indexing, and query layers
  • Configure and manage comprehensive alerting and incident management workflows, including Kibana Rules, Watchers, and PagerDuty
  • Support ingestion, enrichment, backup, and restoration of platform data
  • Plan and manage SSL certificate rotations and cluster scalability requirements

Requirements

  • 3+ years of experience in Operational Intelligence
  • Proven expertise in implementing, operating, and managing Elastic clusters
  • Knowledge of Elastic Stack components, including Elasticsearch, Kibana, and Logstash
  • Proficiency in Infrastructure-as-Code (IaC) tools such as Terraform and Ansible, with flexibility to use Jenkins CI
  • Skills in Python for automation and extending platform functionality
  • Understanding of incident management workflows with tools like PagerDuty and Uptrends
  • Background in troubleshooting and resolving complex platform issues efficiently
  • Competency in managing scalable, fault-tolerant platforms with a focus on performance and security
  • Strong communication skills in English (B2 level or higher) for collaborating with technical and non-technical stakeholders
  • Nice to have

  • Familiarity with additional tools such as Groovy, Linux Administration, and Jenkins CI pipelines
  • Capability to optimise observability workflows using advanced integrations in Uptrends and PagerDuty
  • Showcase of previous work with Elastic Synthetics for advanced monitoring and testing
  • We offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
  • #J-18808-Ljbffr

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