Senior SRE, Monitoring Developer

Ford Motor Company

. Maintain Elastic platform expertise, including cluster management, performance tuning, index/shard optimization, Fleet and APM management, and index lifecycle policies .

Posted 10/21/2026full-timeChennai • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Elastic platform management, including performance tuning, monitoring, and alerting systems. Proficient in scripting with Python, Bash, or Go, and experienced in cloud platforms and infrastructure-as-code tools.

Highest-signal resume keywords

Elastic Platform ExpertiseMonitoring And Alerting SystemsPython ScriptingInfrastructure-As-CodeElastic Certified Engineer

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cluster ManagementPerformance TuningES|QL QueriesKQLCustom Kibana VisualizationsAutomated Health ChecksIncident ManagementCapacity PlanningRoot-Cause InvestigationsPerformance Analysis

Soft Skills

CollaborationDocumentation

Tools & Technologies

Elastic StackDynatraceAnsibleTerraformGCPAzureKibanaVegaVega-Lite

Certifications & Qualifications

Elastic Certified Engineer

Industry Keywords

Site Reliability EngineerDevOps EngineerAgileManufacturingEngineeringCAD

Tech Stack

Tools & technologies

AnsibleAzureCloudGoogle Cloud PlatformPythonTerraformGo

About the role

Key responsibilities & impact

Maintain Elastic platform expertise, including cluster management, performance tuning, index/shard optimization, Fleet and APM management, and index lifecycle policies
Design, implement, and manage monitoring and alerting systems, especially for Elastic clusters
Define SLIs, SLOs, thresholds, and escalation procedures
Develop automated health checks for endpoints, APIs, infrastructure components, and network paths
Author advanced ES|QL queries for log, metric, and trace analysis, performance analysis, capacity planning, and root-cause investigations
Use KQL to create search filters, saved views, dashboard controls, and alerting rule conditions
Design custom Kibana visualizations using Vega and Vega-Lite
Develop and maintain operations, executive, and incident dashboards
Conduct performance analysis, identify bottlenecks, and implement optimizations
Apply Elastic/Kibana RBAC and follow data-handling and security policies
Build and maintain Python, Bash, or Go scripts and tools
Collaborate with infrastructure and engineering teams on reliability, scalability, Elastic best practices, query optimization, and observability instrumentation
Create documentation, runbooks, troubleshooting guides, and post-incident reviews

Requirements

What you’ll need

Bachelor's Degree or equivalent
7 to 10 years of experience as a Site Reliability Engineer, DevOps Engineer, or similar role, with a strong focus on monitoring, observability, and incident management
Experience designing, implementing, and managing monitoring and alerting systems using ELK/Elastic Stack and Dynatrace
Experience working with a PLM platform such as Dassault Systèmes 3DX or Siemens Teamcenter
Strong scripting or programming skills in Python, Bash, or Go
Experience with infrastructure-as-code or Pipeline as a code tools such as Ansible or Terraform is highly desirable
Experience with cloud platforms such as GCP or Azure and cloud-native monitoring/logging services is highly desirable
Experience working within an Agile/DevOps environment is highly desirable
Elastic Certified Engineer certification or equivalent is highly desirable
Experience in manufacturing or engineering/CAD-adjacent industries is highly desirable

Benefits

Comp & perks

Full-time employment
Hybrid work arrangement