We are looking for a highly experienced and dynamic Lead Operational Intelligence Engineer to join our team.
In this role, you will take ownership of leading the development, maintenance, and enhancement of our Elastic & Observability Platform deployed across cloud environments. You will drive strategic initiatives, guide a high-performing technical team, and ensure platform reliability while fostering innovation and enabling self-service capabilities for platform consumers. This position also involves participating in an on-call rotation to oversee platform health and functionality.
Responsibilities
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Oversee the availability, functionality, performance, and security of observability and search platforms to exceed business SLAs
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Provide technical leadership during complex incidents and escalate resolutions promptly during on-call periods
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Develop and maintain comprehensive platform documentation, standard operating procedures, and knowledge-sharing resources
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Collaborate with cross-functional teams, stakeholders, and vendors to oversee operational requirements, drive strategic initiatives, and manage installations, troubleshooting, and upgrades
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Lead the enhancement of platform features and self-service capabilities, including advanced Elastic Synthetics and chargeback automation
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Architect and implement proof-of-concepts for platform innovation, such as AI-driven observability, advanced data processing models, or Kubernetes-based platform migration
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Supervise the building, deployment, and maintenance of Elastic clusters using Infrastructure-as-Code tools like Terraform and Ansible, while mentoring team members on best practices
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Oversee platform lifecycle management activities, including component upgrades, capacity planning, cost optimization, and evolving compliance requirements
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Continuously assess and fine-tune ELK stack performance, including ingestion, indexing, and query optimization for large-scale environments
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Establish and enhance comprehensive alerting and incident management workflows, integrating sophisticated monitoring tools such as Kibana Rules, Watchers, and PagerDuty
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Supervise the ingestion, enrichment, backup, and restoration of large-scale platform data while optimizing data workflows
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Lead and plan critical operational events such as SSL certificate rotations, cluster migrations, or scalability optimization projects
Requirements
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5+ years of experience in Operational Intelligence, with a proven track record of leadership and technical expertise in managing large-scale observability platforms
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Demonstrated ability to architect and manage Elastic clusters in complex, multi-cloud environments
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In-depth knowledge of Elastic Stack components, including advanced configurations of Elasticsearch, Kibana, and Logstash
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Advanced proficiency in Infrastructure-as-Code tools like Terraform and Ansible, with demonstrated flexibility in adapting other tools like Jenkins CI or GitOps frameworks
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Advanced Python scripting skills for automation, data processing, and extending platform interoperability
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Deep understanding of incident management frameworks and workflows with tools like PagerDuty, Uptrends, and other enterprise monitoring solutions
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Proven expertise in troubleshooting and resolving complex platform challenges under tight SLAs
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Strong capability in managing and scaling fault-tolerant platforms while ensuring performance, security, and compliance across large distributed systems
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Demonstrated ability to mentor and grow team members, manage priorities, and act as a bridge between technical and non-technical teams
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Excellent command of English (B2+ level), both written and spoken, with a strong emphasis on technical communication skills
Nice to have
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Expertise in scripting with Groovy or experience in advanced Linux administration to optimize platform processes
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Track record of optimizing observability workflows with additional integrations or customizations in tools like Uptrends, PagerDuty, or Elastic features
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Hands-on experience with advanced Elastic Synthetics setups for robust monitoring and custom synthetic testing frameworks
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Experience driving strategic initiatives such as modernization through AI tooling, cloud-native transitions, or cost-saving observability optimizations
We offer
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Career plan and real growth opportunities
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Unlimited access to LinkedIn learning solutions
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Constant training, mentoring, online corporate courses, eLearning and more
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English classes with a certified teacher
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Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
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Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
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Flexible work schedule and dress code
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Collaborate in a multicultural environment and share best practices from around the globe
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Hired directly by EPAM & 100% under payroll
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Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
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Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
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13 % employee savings fund, capped to the law limit
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Grocery coupons
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30 days December bonus
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Employee Stock Purchase Plan
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12 vacations days
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Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
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Monthly non-taxable amount for the electricity and internet bills
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.
By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
