Ai prompt consultant Work, Jobs in Jacksdale, Ntt (with Salaries)

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LTM —Sheffield
- Azure
- Computer Science
- Engineering
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Overseas Contractor

LTM -
Sheffield

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Job details

Internship

Qualifications

Elasticsearch
Power BI
Cloud infrastructure
Azure
Operating systems
Cloud architecture
Computer Science
Kubernetes
Ansible
Engineering
Spark
Network infrastructure
Java
Bash (Unix shell)
SQL
OOP
C
Bachelor's degree
NIST standards
Network Protocols
Terraform
Scripting
Computer networking
Software development
GitHub
Agile
S3
Financial services
SIEM
Linux
Kafka
Cybersecurity
Chef
Python
PowerShell
Shell Scripting
Active Directory

Full job description

Role description

Role: Cloud Infrastructure Site Reliability Engineer

Location: Sheffield, UK

Job Type: 6 Months contract with possible extension

Description:

The successful candidate will be a student of the Google Site Reliability Engineering SRE philosophy as applied to managing largescale cloud infrastructure possess skills and experience within one or more of the following areas and demonstrate a willingness to learn additional skills via certification and or on the job learning where required

Programming Software Network Principles.

Experience with SRE and Azure DevOps
Ability to script BashPowerShell Azure CLI code Python C Java query SQL Kusto query language coupled with experience with software versioning control systems eg GitHub and CICD systems
Programming experience in the following languages PowerShell Terraform Python Windows command prompt and object orientated programming languages
Demonstrable experience of Linux administration and scripting preferably Red Hat Systems
Understanding of hardware and software principles and storage technologies SSD HDD NVMe CPU architectures and Memory Operating system principles especially network stack fundamentals
Understanding of network protocols and network design
Cloud Infrastructure Platform Engineering
Cloud Infrastructure Platform Engineering Azure preferred
Cloud Technologies
Ability to build operate maintain and support cloud infrastructure data services at scale
Experience of engineering and deploying a range of Services in Azure
Experience in dealing with multiple support groups that contribute to a Service
Experience working with highly available high load web infrastructure eg web proxies reverse proxies
Data Quality Data Management Data Controls Data Governance
Security and Compliance eg IAM and cloud compliance auditing monitoring tools
Troubleshooting service support experience
A track record of constantly looking for ways to do things better and an excellent understanding of the mechanisms necessary to successfully implement change
Demonstrated experience troubleshooting complex problems especially those resulting from interactions across a cloud services and application stack
Strong documentation change management and agile development ethos

Technology Stack:

Technical knowledge and breadth of Azure technology services Identity Networking Compute Storage Web Containers Databases
Cloud Big Data Technologies such as Azure Cloud Azure IAM Azure Active Directory Azure AD Azure Data Factory Azure Databricks Azure Functions Azure Kubernetes Service Azure Logic App Azure Monitor Azure Log Analytics Azure Compute Azure Storage Azure Data Lake Store S3 Synapse Analytics andor PowerBI
Experience with server operating system and infrastructure technologies such as NginxApache CosmosDB Linux Bash PowerShell Prometheus Grafana Elasticsearch
Experience with InfrastructureasCode and Automation tools such as Terraform Chef Ansible CloudFormationAzure Resource Manager ARM
Streaming platforms such as Azure Event Hubs or Kafka and stream processing services such as Spark
Experience with Security Information Event Management SIEM and Security Orchestration Automation Response SOAR technologies especially cloud based is a significant asset

Education and Experience

The successful candidate will possess
Positive attitude strong work ethic and passion for learning
Bachelors degree in Computer Science Software Engineering Data Science or a related field advantageous
Bachelors degree in any Science Technology Engineering or Medical STEM field accompanied with data technology andor programming experience also considered
Applicants without a Bachelors degree will be considered if they have demonstrable career experience within one or more of the required areas and or have relevant industry certifications in Cloud Data or Cybersecurity
CSA are a supportive team who welcome candidates from diverse skills and educational backgrounds Thus candidates with transferrable skills gained through software development or any other technology background will also be considered
Proficiency in programming languages such as Python Java C or similar preferred
Experience operating in highly regulated industry eg Financial Services advantageous
Understanding of cybersecurity principles global financial services business models regional compliance regulations and applicable laws advantageous
Understanding and knowledge of common industry cybersecurity frameworks standards and methodologies including OWASP ISO2700x series PCI DSS GLBA Global data security and privacy acts FFIEC guidelines CIS and NIST standards advantageous

Skills

Mandatory Skills : Azure Cloud Architecture, Bash/Shell scripting, CI/CD Architecture, Terraform

About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/

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