Senior Cloud Engineer
Segment : S&P Global Market Intelligence
The Role : Senior Cloud Engineer
Grade : 10 (for internal use only)
The Location : India – all locations
The Team : As a member of the Data Transformation – Data Automation team, you contribute to all aspects of designing, developing, troubleshooting and operational support of our Cloud Infrastructure. Data Automation team is building cloud native ML powered products and capabilities that are transforming the way we are collecting the essential intelligence for our clients.
What’s in it for you :
Be a part of a global company and build solutions at enterprise scale
Contribute to solving high complexity, high impact problems
Support cloud native products leveraging best in class technologies
Responsibilities:
Contribute to all aspects of designing, developing, troubleshooting and operational support of our Cloud Infrastructure
Monitor and test application performance for potential bottlenecks, identify possible solutions and work with developers to implement those fixes.
Optimize Cloud Costing and analyze Capacity Planning
Liaise with vendors and other technical teams for problem resolution
Responsible for recommending cloud security requirements, engineering, design, and subsequent implementation, ensuring minimum disruption and impact to the business
Creating, deploying, analyzing, and refactoring our infrastructure securely through infrastructure-as-code tools
Leverage and develop automated techniques for continuously identifying cloud infrastructure and workload risks
Create/update Architecture diagrams based on solution designs or reviews
What We’re Looking For :
BS in Computer Science, Engineering or in equivalent discipline is required
Minimum 2-5 years of relevant work experience managing platform and/or infrastructure
Minimum 1-2 years of experience in DevOps and container platform infrastructure in AWS (EKS, ECS, Fargate)
Hands-on knowledge or experience of AWS services (e.g. EC2, ELB, RDS, EFS, EBS, Route53, VPC, IAM, CloudFront, CloudWatch, S3). Certifications is a plus.
Strong experience on application deployment and monitoring. Experience with Datadog or similar observability tools is preferable.
Strong experience with Infrastructure-as-Code, preferably Terraform (YAML and/or JSON)
Proficient with modern DevOps tools including Azure DevOps (VSTS) and/or Git/GitHub based CI/CD pipelines
Experience with coding/scripting, preferably in Python, Bash, PowerShell language
Hands-on experience managing and administering Linux/Unix and Windows based systems.
Experience with AWS Serverless application architectures, (e.g. Lambda, Kinesis, API Gateway, SQS, SNS)
Experience with SQL/NoSQL database concepts
Experience with ITIL service/change management processes
Preferred Qualifications :
Excellent communication (written & verbal) and collaboration skills
Detail-oriented and a good team player
Willing to learn new technologies and acquire new skills.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.
DTMGOP202.1 – Middle Professional Tier I (EEO Job Group)
Job ID: 280073
Posted On: 2023-03-22
Location: Gurgaon, Haryana, India
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