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Bank Of America Software Engineer III - GBS 
India, Telangana, Hyderabad 
587428895

28.06.2024

Job Description*

  • Maintain thought leadership role in cloud data technology, remaining up to date on offerings of various cloud service providers.
  • Participate in the production of overall product design documentation. Key contributor to engineer the Data services in Hybrid cloud platform.
  • Provide guidance on Data Service in Cloud design decisions, standards, and operational practices.
  • 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 Data Services.
  • 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.
  • Partner with Information Security teams to engineer secure app patterns into Cloud platforms.
  • 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.
  • Experience in delivering large scale distributed Data cloud platforms with focus on performance, scale, security, and reliability.
  • Experience with distributed data processing technologies such as Databricks, Spark core/ ADLS/ Hive.
  • Experience in DevOps and GitOps models with infra-as-code, config-as-code, policy-as-code, etc. with technologies such as Terraform.
  • Significant experience writing Hashicorp Terraform configurations and modules.
  • Experience with on-premises based Private Cloud and Public Cloud platforms such as Azure, AWS, and Google Cloud.
  • Understanding of landing zones, cloud-native security, observability, and Well-Architected Framework principals.
  • Experience with CICD tools – Jenkins, pipelines, etc.
  • Experience in container-native technologies such as Kubernetes, container native virtualization, network, etc.
  • Experience in cloud-native logging, monitoring and operations tools – Splunk, Prometheus, etc.
  • Experience in infra-automation tools and general programming languages – Ansible, Java, python, etc.
  • Must be intermediate level in one or more of the following, with familiarity with the others:
    • Cloud Data Services (Such as AWS RDS, Azure SQL, Cosmos DB, DynamoDB, Big Query, Bigtable, S3/GCS/Azure Blob Storage etc.)
    • Cloud IaaS design, including image creation and management.
    • Cloud IAM
    • Cloud network and security design
  • Excellent understanding of the programming principles, design patterns and OO best practices
  • Development experience in Python/ Java/ Golang building data platforms/pipelines from the ground up. Experience building microservices and RESTful APIs is preferred.
  • Experience in native CSP orchestration stacks (e.g., Azure ARM templates, AWS CloudFormation, Google Cloud Deployment Manager)
  • Understanding of cloud networking concepts, subnets, routing, load balancing, firewalls, and cloud security.
  • Experience in Agile development practices and test-driven development
  • Demonstrated excellence in organizational and troubleshooting skills

Responsibilities*

  • Maintain thought leadership role in cloud data technology, remaining up to date on offerings of various cloud service providers.
  • Participate in the production of overall product design documentation. Key contributor to engineer the Data services in Hybrid cloud platform.
  • Provide guidance on Data Service in Cloud design decisions, standards, and operational practices.
  • 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.

Education*

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

Experience Range*

Overall 10+ Years and minimum 5+ years cloud and big data/ Data services engineering experience

Foundational Skills*

Azure/AWS/GCP, Databricks/Spark/Beam/Flink, Python/Go/ Java, Terraform, Ansible, CI/CD/Jenkins/GHA/Bitbucket, Shell/python scripting.

Desired Skills*

REST APIs/ Microservices development, Kafka/Streaming, Hadoop, Hive, ADF, ADLS/KeyVault, KQL

Work Timings*

12 to 21 hours in a Global support Model with weekend support on a rotational basis.

Job Location*

Hyderabad/ Gurugram