About - iXceed Solutions

Founded on the grounds of innovation – iXceed Solutions , is an ISO certified , leader in Talent and Digital recruitment solutions , serving fortune 100 companies globally. We have many global accolades  to our credit – UK Enterprise Awards - HR Tech Startup of the year-
Europe - 2022 , UK IT Awards - Leading Talent & Digital Solutions of the Year 2022 , Titan Awards- Entrepreneur of the Year -2023 , Asia fastest growing HR tech companies in 2023, Iconic Brand of the Year in Staffing & Recruitment 2023 , Top 4 The Most prominent Talent solutions firm to work with in 2024 , Hottest HR Tech Startup by Business World , The Greatest Brands & Leaders Asia & GCC -2020 -2021 by AsiaOne and many more.

Website : www.ixceed-solutions.com
Linkedin URL : https://www.linkedin.com/company/ixceed-solutions

Job Title: DevOps Engineer
Location: Milton Keyens (Hybrid)
Employment Type: FTC

About the client :

Our Client is a global consulting service and systems integrator that operates in over 90+ countries, delivering solutions with a unique blend of digital innovation and robust, industry-strong processes.

Founded in 1945, one of the largest and most admired multinational federation of companies with 260,000 employees in over 100 countries. The Group has a strong foothold in farm equipment, utility vehicles, information technology, and financial services in India. It also has a leading presence in renewable energy, agriculture, logistics, hospitality, and real estate.

Responsibilities:
Perform Level 1 incident management for transport networks, including real-time diagnosis and troubleshooting.

Manage activation and monitoring of circuits and services using SDH and DWDM technologies.

Handle customer complaints, providing resolution support and collaborating with field teams.

Conduct network quality assessments, analyze errors, and propose corrective measures.

Support 24/7 NOC operations with continuous shift coordination and technical assistance.

Escalate cases to equipment vendors and coordinate with Telefónica internal teams.

Generate performance reports using MS Office tools (Excel, PowerPoint, Word, Power BI).

Use systems like GRI, GEISER, MAR/Genesys for activity and incident tracking.

Requirements:
•    Good experience and Expertise of Python along with GitHub & DevOps
•    Must have experience of Writing, testing, and maintaining Python code.
•    Deploy and manage cloud resources using Terraform following Infrastructure as Code (IaC) best practices followed in Project Max AWS account
•    Automate provisioning of infrastructure across environments (dev, staging, prod) using existing terraform pipeline and new
•    Existing VPC and Subnet will be used .Github repo already created
•    Build the lambda authorizer approved infra  with NLB,API Gateway,Lamda and S3 for authorizer configuration. The authorizer configuration will have a lamda.zip file already available and provided by the group. The implementation  will follow the similar PoC path ([Identity-Preprod] APIGateway - Lambda POC - Container Service Infrastructure (CSI) - Confluence). Hasicorp will be used instead of secret manager. Haiscorp integration with Project Max already exists.
•    AWS Ping will be used for authorization. Integration with Project Max is already present.
•    A lambda service to be created to provide the Pre signed Url for the S3 (both request and response). Using those presigned url the documents will be uploaded and downloaded by Uipath.
•    A lambda service(Doc pre-processing ) should be triggered once document are placed in request 3 and the lambda should split the doc files into pages and convert into base 64. And trigger a step function. 
•    The first lambda (OCR)in the trigger function will call the document processing API in GenAI hub with access token fetched from Hasicorp vault. The base64 version of the doc will be passed in the payload and the service will be called in a loop until all pages are processed. The response will be provided the GenAI Hub API in Json format. The lambda will co related all the responses
•    Then a Lambda service (Doc Validation) will use the response from previous call and send a json request to call FM (Foundation model)API in GenAI Hub to use GPT for validation. The prompt and json will part of the payload. Based on the response in ison it will store the response in the response S3 based on the agreed format. 
•    If doc validation is successful, the next lambda(Budget Planner) will create a pre-defined Excel based on some custom calculation and the response from earlier responses (OCR and Doc Validation).It will also store in S3 response and it will also send notification via SNS to inform Uipath to download the excel and response file.
•    Any failure in any step of the step function must be informed to Uipath via SNS.
•    The meta data of each file processing should be store in the RDS.
•     Set up and manage VPC Interface Endpoints (AWS PrivateLink) to securely connect to AWS services from within VPC.S3, RDS, SNS will be accessed via VPC endpoints. Ensure secure access to S3 using IAM, bucket policies, and VPC endpoints. We can use existing VPC endpoints also.