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Job Description:
- English is mandatory since they need to work with global team
- Eventually weekend support if deployment happens on weekend (can be 1 per month or per quarter)
- Create a release management plan. Define the stages (e.g., planning, testing, deployment), roles and responsibilities, tools to be used, and criteria for release readiness
- Implement a branching strategy. Decide on branch naming conventions, when to create branches (feature branches, release branches), and guidelines for merging changes
- Application monitoring. Configure to collect metrics from the application, set up dashboards to visualize metrics, and create alerts for critical thresholds
- Automate the provisioning of cloud infrastructure using Terraform. Write Terraform scripts to define and deploy resources (e.g., virtual machines, databases) on a cloud provider (e.g., Azure, AWS)
- Implement a CI/CD pipeline for a sample application. Set up a pipeline using a CI/CD tool to automate build, test, and deployment processes. Include stages for unit testing, integration testing, and deployment to a staging environment
- Sec DevOps. Conduct a security assessment of your CI/CD pipeline. Identify potential security vulnerabilities (e.g., insecure configurations, outdated dependencies) and implement measures to mitigate them (e.g., automated security scans, dependency updates)
- Azure DevOps. GCG DevOps. Building pipelines, should be an expert
- Knowledge of Automation Testing Tools for automation regression testing
- Monitoring of applications
- Strong CI/CD experience, ability to manage and deploy branches, automation of testing, (ALL Cloud & BIG DATA ENGINEERING SKILLS)
- Performance tuning, framework design and development
- Strong technical SME in GCP components – BigQuery, DataFlow, BigTable, GCS, DataForm, Python Scripting, EventHub, Kafka, Data Lakes, SQL, or SPARK and SCALA programming, Tensorflow
- Strong technical SME in Azure components – Azure Functions, ADF, Databricks, EventHub, Synapse, Datawarehouse, Cosmos, Azure SQL, ADLS, SPARK and SCALA programming (ALL Cloud & BIG DATA ENGINEERING SKILLS)
- Performance tuning, framework design and development
- Working with engineering and vendor to setup new components.
- Performing poc’s on new components to support enterprise architecture.
- Knowledge on Integration tools and technologies
- Support development issues on the platform
- Strong Terraform, HELM and other platform DevOps experience
- Manage Neo4J
Key Skills
Ranked by relevance
devops
cloud
cicd
terraform
big data
scala
spark
sql
python
kafka
gcp
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- Posted
- May 05, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Buenos Aires Province
- Company
- Tata Consultancy Services
Industries
IT Services
IT Consulting
Categories
Information Technology
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