DevOps Platform Engineer

Role

Platform Engineer with DevOps

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About the UNIT/ Unit Overview

Corporate Quality & Cost Orientation

Location

Pune

Experience:

3-5

Number of openings

1

What awaits you/ Job Profile

We are looking for a skilled Platform Engineerto join our growing digital engineering and DevOps team.
In this role you will design implement and operate centralized monitoring search and observability platforms using the ELK (Elasticsearch Logstash Kibana) stack AWS supporting enterprise-scale applications in an agile environment.

The ideal candidate has strong hands-on experience in ELK stack backend services CI/CD cloud infrastructure and DevOps practices enabling proactive monitoring troubleshooting and performance optimization across distributed systems.
Exposure to PLM / Teamcenter environments is a strong plus but not mandatory.

Core Responsibilities

• Design implement and maintain centralized logging and monitoring solutions using the ELK stack (Elasticsearch Logstash Kibana)
• Implement log ingestion parsing enrichment and transformation using Logstash Grok and Ruby
• Design and optimize Elasticsearch indices mappings and queries for efficient search and analytics
• Develop and maintain Kibana dashboards and Vega visualizations for:
  • Application health
  • System performance
  • Operational and business insights
• Configure alerts and monitoring rules to proactively detect application integration and infrastructure issues
• Develop and maintain REST APIs and backend services using Java Spring and Spring Boot
• Support and enhance CI/CD pipelines using Jenkins Git/GitHub and Python
• Collaborate with DevOps and infrastructure teams on:
  • Dockerized deployments
  • Kubernetes-based platforms
  • Cloud infrastructure(AWS)
• Perform L2/L3 production support root-cause analysis and performance tuning
• Ensure compliance with BMW Agile Working Model

What should you bring along

Expected skill Sets and experience that the candidates should bring along.

• Strong hands-on experience with centralized logging and monitoring platforms especially the ELK Stack (Elasticsearch Logstash Kibana)
• Proven ability to design and implement log ingestion parsing and transformation pipelines using Logstash Grok and Ruby
• Solid experience in writing and optimizing Elasticsearch queries indices and mappings
• Expertise in building Kibana dashboards and Vega visualizations for system health performance monitoring and analytics
• Experience configuring alerts and monitoring rules for proactive incident detection
• Strong backend development skills using Javaand Spring / Spring Boot
• Hands-on experience developing and consuming REST APIs (Swagger / Open API knowledge preferred)
• Good experience with CI/CD pipelines using Jenkins Git/GitHub and Python
• Practical knowledge of Docker and exposure to Kubernetes-based deployments
• Working knowledge of cloud platforms (AWS) including CloudWatch IAM EC2 S3 and CloudFormation
• Experience working with databases such as Oracle MSSQL or MySQL
• Understanding of API security standards including OIDC OAuth2 and SAML
• Familiarity with web and integration technologies such as XML JSON HTML CSS

Additional Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and within a team in an agile environment.
• General - Cloudformation Cloudwatch IAM Networking

Technology / Skills / Numbers
ELK (Elasticsearch Logstash Kibana) Stack Data Transformation using Grok/Ruby code in Logstash Python AWS Cloudwatch Elasticsearch Queries GitHub Vega Visualizations Kubernetes Docker Databases (Oracle MSSQL MySQL etc.) Alerts

Must have technical skill

Must-Have Skills & Experience (Core)

Logging Monitoring & Search

• Strong hands-on experience with ELK Stack
  • Elasticsearch
  • Logstash
  • Kibana
• Log parsing and transformation using Grok and Ruby
• Writing and optimizing Elasticsearch queries
• Building Kibana dashboards and Vega visualizations
• Alerting and monitoring configuration

Backend & Integration

• Strong programming skills in:
  • Java (Java 8)
  • Python
• Experience with:
  • REST APIs
  • Spring / Spring Boot
  • Swagger / OpenAPI
• Knowledge of API management and security
  • OIDC
  • OAuth2
  • SAML

DevOps & CI/CD

• Experience with:
  • Jenkins
  • Git / GitHub
• Familiarity with CI/CD best practices
• Containerization experience with Docker
• Exposure to Kubernetes

Web & Data Technologies

• XML JSON
• HTML CSS2/3
• Apache

Cloud & Infrastructure

• AWS fundamentals:
  • CloudFormation
  • CloudWatch
  • IAM
  • EC2 S3
• Understanding of networking and security basics

Databases

• Experience with one or more:
  • Oracle
  • MSSQL
  • MySQL

Good to have Technical skills

(PLM & Teamcenter)

Not mandatory candidates with strong ELKDevOps skills can succeed without PLM background

• Exposure to PLM environments especially Teamcenter
• Experience with:
  • Teamcenter 14.x
  • Active Workspace (AWC)
  • ITK / SOA
  • BMIDE
  • T4EA
  • Teamcenter Visualization
  • Workflow Designer
• Understanding of PLM integrations and enterprise engineering systems (e.g. CAD