Lead Infrastructure Engineer Lead Infrastructure Engineer

Job responsibilities

• Applies technical expertise and problem-solving methodologies to projects of moderate scope
• Drives a workstream or project consisting of one or more infrastructure engineering technologies
• Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes
• Executes creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity
• Strongly considers upstream/downstream data and systems or technical implications and advises on mitigation actions
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure disciplines and 5+ years applied experience
• Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments
• Deep knowledge of one specific infrastructure technology and scripting languages (e. g. , Scripting, Python, etc. )
• Drives to continue to develop technical and cross-functional knowledge outside of the product
• Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
• Experience with at least one of the following cloud platforms AWS, Cloud Foundry, or Kubernetes for deployment.
• Proficiency in leveraging any programming language (Python or Java) for automation and data preprocessing techniques, including data pipelines, normalization, and streaming to data stores.
• Experience with at least one of the following log aggregation tools Splunk, DataDog, Cloud Stream, or ELK Stack
• Knowledge of Active Directory Federated Services solutions OIDC, SAML, or x509.

• AWS cloud native application deployment including infrastructure as code using Terraform, Python or Java for Lambda and automation.
• Robust understanding of AWS infrastructure tools and resources such as EC2, Lambda, EKS/ECS, databases, and data warehouse
• Understanding of 3rd party vendor software installation, configuration, and integration.
• Familiarity with monitoring tools (Dynatrace, Splunk)
• Certifications in Kubernetes or AWS.

Job responsibilities

• Applies technical expertise and problem-solving methodologies to projects of moderate scope
• Drives a workstream or project consisting of one or more infrastructure engineering technologies
• Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes
• Executes creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity
• Strongly considers upstream/downstream data and systems or technical implications and advises on mitigation actions
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure disciplines and 5+ years applied experience
• Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments
• Deep knowledge of one specific infrastructure technology and scripting languages (e. g. , Scripting, Python, etc. )
• Drives to continue to develop technical and cross-functional knowledge outside of the product
• Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
• Experience with at least one of the following cloud platforms AWS, Cloud Foundry, or Kubernetes for deployment.
• Proficiency in leveraging any programming language (Python or Java) for automation and data preprocessing techniques, including data pipelines, normalization, and streaming to data stores.
• Experience with at least one of the following log aggregation tools Splunk, DataDog, Cloud Stream, or ELK Stack
• Knowledge of Active Directory Federated Services solutions OIDC, SAML, or x509.

• AWS cloud native application deployment including infrastructure as code using Terraform, Python or Java for Lambda and automation.
• Robust understanding of AWS infrastructure tools and resources such as EC2, Lambda, EKS/ECS, databases, and data warehouse
• Understanding of 3rd party vendor software installation, configuration, and integration.
• Familiarity with monitoring tools (Dynatrace, Splunk)
• Certifications in Kubernetes or AWS.