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(3+ Years) "Core Compete" Hiring: Cloud Engineer - DevOps On Nov 2018 @ Hyderabad/Pune



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Company:        Core Compete

Website:          www.corecompete.com

Eligibility:         Bachelor/Masters Degree

Experience:      3+ yrs

Location:          Hyderabad/Pune

Job Role:         Cloud Engineer - DevOps

JOB SUMMARY:

Company Profile:

Core Compete designed and deployed a high availability and cost-effective architecture for all SAS components and database infrastructure and migrated the entire infrastructure to AWS with no impact to operations. Furthermore, all the historical data was migrated using AWS Snowball with continuous replications of the live databases on the cloud.

Job Description:
1. Design cloud infrastructure for analytical workloads

2. Develop reusable cloud infrastructure templates using tools like CFT designer, terraform etc

3. Develop scripts, tools, frameworks etc for automation of the cloud infrastructure management life-cycle- deploy, secure, maintain, measure, monitor, de-commission

4. Develop test cases, checklists etc for validation/enforcement of best practices w.r.t cloud infrastructure management

5. System troubleshooting and problem solving across infrastructure, platform and application domains.

Candidate Profile:
Education:
Bachelor/Master’s Degree in Computer Science, Computer Engineering, or related discipline

Experience:
1. 3+ solid experience as a DevOps Engineer in a secure 24×7 uptime environment with a “max automation” mindset

2. 2+ years experience with configuration of AWS services (EC2,RDS, ELB,S3, VPC, Glacier, IAM, CloudWatch, KMS etc)

Required Skills:
1. Strong development/scripting (Python preferred) and IT automation skills.

2. Understanding of network topologies and configuration of common network protocols/services (eg DNS, HTTP(S), SSH, SFTP etc)

3. Hands-on experience with configuration management (eg Ansible) and system monitoring (e.g. Prmotheus, Sumologic, Grafana etc) tools

4. Ability to analyze and resolve complex infrastructure and application deployment issues

5. Basic Linux system administration and database administration

6. Familiarity with analytics applications, data pipelines (ETL/ELT) and data visualization tools and frameworks

7. High level knowledge of big data Eco system (Kafka, Hadoop, Spark etc).

 













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