×
Register Here to Apply for Jobs or Post Jobs. X

Lead Devops Engineer - Mobility

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: S&P Global
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, Data Engineer
Job Description & How to Apply Below
Location: Bengaluru

This job is with S&P Global, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

About the Role:

Grade Level (for internal use):
11   S&P Global  has recently announced the intent to separate our Mobility Segment into a standalone public company.
For more information, visit    .

The Role:

Lead Dev Ops Engineer
The Team
The Procurement IQ team is building  AI-powered supply chain intelligence  solutions within S&P Global Mobility's Supply Chain and Technology organization. You'll join a collaborative, innovation-driven environment that values  technical excellence, continuous learning, and cross-functional partnership . Working in a globally distributed team, you will partner with data scientists, product managers, and domain experts to deliver solutions that transform how automotive OEMs understand and manage their supply chains.

The team embraces  modern Dev Ops practices, cloud-native architectures, and a culture of ownership , empowering engineers to influence both technical direction and product decisions.
Responsibilities and Impact
Design and implement scalable cloud infrastructure  on a major cloud provider, using  infrastructure-as-code  principles and aligning with enterprise standards for security, networking, and approved service selection.
Build and optimize CI/CD pipelines  using  CI/CD platforms ,  containerization technologies , and automated deployment strategies to enable fast, reliable,  zero-downtime releases  across development, staging, and production.
Lead implementation of monitoring and observability capabilities  using  metrics, logging, and distributed tracing platforms  to ensure platform health, performance, and proactive incident detection.
Drive operational excellence  by establishing SRE-style practices, creating runbooks and playbooks, implementing  auto-scaling strategies , and ensuring the platform meets  99.5% uptime SLA  targets.
Mentor and guide engineering teams  on Dev Ops best practices, cloud-native architecture patterns, containerization strategies, and security/compliance requirements-fostering continuous improvement and ownership.
Collaborate with cross-functional teams including AI/ML engineers, data engineers, security, and product partners to ensure infrastructure integrates seamlessly with application needs and business objectives.
Basic

Required Qualifications
Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent practical experience in Dev Ops/Cloud Engineering).
9+ years  of hands-on experience with a major cloud provider's services, including  managed container compute ,  serverless compute ,  object storage ,  managed relational databases ,  graph database services ,  virtual networking , and  identity/access management , with a proven ability to architect and deploy production-grade infrastructure.
Strong expertise in  infrastructure automation tools  (infrastructure-as-code), including  module development, state management, and Git Ops-style workflows  for deployment and version control.
Proficiency in  CI/CD pipeline engineering  using CI/CD platforms, plus experience with  containerization technologies  and  container orchestration platforms .
Solid programming and scripting skills (e.g.,  Python, shell scripting, or similar ) to automate infrastructure tasks, build internal tooling, and troubleshoot complex issues.
Strong understanding of  security best practices , including encryption in transit/at rest, identity and access controls, network segmentation,  secrets management platforms , and compliance with enterprise security standards.
Additional

Preferred Qualifications

Experience with  graph database technologies , including graph data modeling, query optimization, and operating relationship-centric data ds-on experience implementing  observability and monitoring platforms , including centralized logging, metrics dashboards, alerting, and  distributed tracing  for microservices architectures.
Familiarity with  AI/ML infrastructure and LLM deployment , including experience with  managed foundation-model/LLM…
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary