Senior Site Reliability Engineer - GBS IND

Key Skills

Ansible, Apache Hadoop, Apache Hive, Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Databricks, GoLang, Java Programming, Python Programming, REST API, Shell Scripting language, Spark Core, Terraform

Job Description

• Design develop and be accountable for feature delivery.
• Apply enterprise standards for solution design, coding and quality.
• Follow and promote best practices in Cloud platforms engineering, cloud operations, cloud-native application development, and cloud platform governance.
• Plan and implement the selection of new cloud services and tools to enable cloud roadmap
• Participate in the creation of blueprints and reference implementations of cloud products
• Partner with Information Security teams to engineer secure app patterns and have “security from the get-go” model into Cloud platforms
• Implement Data security controls and governance through automation.
• Communicate problems and challenges to drive discussions across key stakeholders –engineering, operations, developers, and leadership
• Write public cloud infrastructure as code automation using tools such as Terraform
• Design and develop foundational cloud platform services for Enterprise Cloud Automation teams.
• Develop Data cloud services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability
• Implement built-in resiliency, observability, and enable FinOps as a part of infrastructure automation to enable cloud IaaS and PaaS services
• Develop and maintain cloud services catalog for app developers and devops teams
• Develop CI/CD pipelines to build the cloud platform, virtual machine images and containers
• Collaborate with technical product management and operations, to deliver the engineering roadmap in Agile model
• Assist in translating business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies
• Assist technical Analysts and Infrastructure Engineers by ensuring that technology solutions comply with enterprise system design and engineering standards.
• Promote an inclusive and healthy working environment and help to resolve organizational impediments/blockers
• Review bitbucket feature files, branching strategy, maintain bitbucket branches.
• Evaluate services of Azure & AWS and use Terraform to develop modules.
• Improve and optimize deployment challenges and help in delivering reliable solution.
• Be part of an enriching team and solve real Production engineering challenges.
• Improve knowledge in the areas of DevOps & Cloud Engineering by using enterprise tools and contributing to projects success.
• Programming or scripting skills in Python
• Any related Certification on cloud is nice to have.

Responsibilities

• Design develop and be accountable for feature delivery.
• Apply enterprise standards for solution design, coding and quality.
• Follow and promote best practices in Cloud platforms engineering, cloud operations, cloud-native application development, and cloud platform governance.
• Plan and implement the selection of new cloud services and tools to enable cloud roadmap
• Participate in the creation of blueprints and reference implementations of cloud products
• Partner with Information Security teams to engineer secure app patterns and have “security from the get-go” model into Cloud platforms
• Implement Data security controls and governance through automation.
• Communicate problems and challenges to drive discussions across key stakeholders –engineering, operations, developers, and leadership
• Write public cloud infrastructure as code automation using tools such as Terraform
• Design and develop foundational cloud platform services for Enterprise Cloud Automation teams.
• Develop Data cloud services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability
• Implement built-in resiliency, observability, and enable FinOps as a part of infrastructure automation to enable cloud IaaS and PaaS services
• Develop and maintain cloud services catalog for app developers and devops teams
• Develop CI/CD pipelines to build the cloud platform, virtual machine images and containers
• Collaborate with technical product management and operations, to deliver the engineering roadmap in Agile model
• Assist in translating business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies
• Assist technical Analysts and Infrastructure Engineers by ensuring that technology solutions comply with enterprise system design and engineering standards.
• Promote an inclusive and healthy working environment and help to resolve organizational impediments/blockers
• Review bitbucket feature files, branching strategy, maintain bitbucket branches.
• Evaluate services of Azure & AWS and use Terraform to develop modules.
• Improve and optimize deployment challenges and help in delivering reliable solution.
• Be part of an enriching team and solve real Production engineering challenges.
• Improve knowledge in the areas of DevOps & Cloud Engineering by using enterprise tools and contributing to projects success.
• Programming or scripting skills in Python
• Any related Certification on cloud is nice to have.

Requirements

Education

• Minimum of a 4-year degree in Computer Science or a related discipline or equivalent experience

Experience Range

• Overall 15+ Years and minimum 5+ years cloud and Big data/ Data services engineering experience

Certifications If Any

Foundational Skills

• Azure, Terraform, Ansible, Databricks, CICD, Java/Python/Go, Shell/python scripting

Desired Skills

• REST APIs/ Microservices development, Spark, Big Data, Hadoop, Hive, ADF, ADLS, KQL

Work Timings

• 40hrs/week in a Global support Model with weekend support on a rotational basis.