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Role: Platform Engineer
Job Summary
As a Platform Engineer you will be responsible for building and maintaining the foundational infrastructure and tools that enable scalable secure and efficient software development and deployment. You'll work closely with development DevOps and security teams to ensure platform reliability and performance
Key Responsibilities
Design build and maintain cloud native infrastructure using tools like Terraform Kubernetes and Docker Develop automation scripts and CICD pipelines to streamline deployment processes
Monitor system performance and troubleshoot issues across environments Implement security best practices and ensure compliance with internal policies Collaborate with software engineers to optimize application performance on the platform
Maintain documentation and provide support for platform related tools and services
Required Qualifications
Bachelors degree in Computer Science Engineering or related field
2-4 years of experience in platform engineering DevOps or infrastructure roles
Proficiency with cloud platforms AWS Azure GCP
Experience with containerization and orchestration tools Docker Kubernetes
Strong scripting skills Python Bash etc
Familiarity with monitoring tools Prometheus Grafana ELK stack
Preferred Skills
Experience with Infrastructure as Code Terraform CloudFormation Knowledge of networking and security principles
Exposure to Agile Scrum methodologies Strong problem solving and communication skills
Job ID: 149123453
Skills:
Azure Functions, Power Bi, Power Apps Canvas Model-driven apps, Logic Apps, Service Bus, API integrations REST services, Dataverse
Skills:
Kibana, Maven, Prometheus, Grafana, Confluence, Docker, Automation Frameworks, Mq Series, Shell script, Aws Cloud, Oracle, Python, Sybase, PowerShell, Big Data, Jira, Sql, Jenkins, Ansible, Kafka, Elastic Search, Gitlab, Kubernetes, Control-M, Unix Platform
Skills:
Pandas, Tableau, Python, data pipelines, Data Processing, large-scale data systems
Skills:
Orchestration, Storage, Network, Docker, Terraform, Enterprise Security, Iam, Cloud Infrastructure, automation, Kubernetes, Scripting, policy enforcement, inference, containerisation, Pipelines, Gen AI use cases, cloud-based AI platforms, Governance, model serving, Compute
Skills:
Python, Tableau, Pandas, Data pipelines, Data Processing, Large-scale data systems
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