Senior Infrastructure engineer - Ansible

Job Description

About this role: Wells Fargo is seeking a Senior Infrastructure Engineer The Senior Infrastructure Engineer will design, develop, and implement near real-time data streams, ingesting and enriching business and operational data from various sources across the organization as part of a new enterprise observability platform. In this role, you will: Lead or participate in high level technical concepts spanning technology and business Develop specifications for complex infrastructure systems, design and test solutions Contribute to the testing of business, application and technical infrastructure requirements Drive solutions to reduce recovery Review and analyze solutions for cloud security, secrets management and key rotations Design, code, test, debug and document programs using Agile development practices Design complex system upgrades Resolve troublesome trends as they develop Develop a long range plan designed to resolve problems and prevent them from recurring Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals Required Qualifications: 4+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications Platform Support and implementation experience 3+ years of experience in APM monitoring tools like Appdynamics / NewRelic 3 + years of experience with Elasticsearch development, integration, or support 2+ years of Ansible experience 2+ years of experience with scripting (i.e. JavaScript, Groovy, Python, Bash, etc.) and working from the command line in a Linux environment. 2+ years of experience using an automation/orchestration solution such as Ansible, Chef, Puppet, Salt, etc. 3+ Experience in Patching Support and Application Change management Knowledge and understanding of Cloud computing, PaaS design principles and micro services and containers Outstanding problem solving and decision-making skills Strong analytical skills with high attention to detail and accuracy Ability to develop partnerships and collaborate with other business and functional areas Design and implement multi-tenancy in Elasticsearch for data isolation and visualization in Kibana by different tenants of the shared service. Experience designing, implementing, deploying and managing large Elasticsearch clusters and ELK solutions. Advanced experience with Elastic Search to include designing Elastic infrastructure environments, performance tuning, managing Elasticsearch clusters, solution development for searching and analyzing indexed data. Advanced experience with Logstash to include collecting, parsing and transforming attribute data and log data from disparate sources, understanding the Elastic Common Schema and the use of Filter plugins. Excellent verbal, written, and interpersonal communication skills Job Expectations: Demonstrated experience with the Elasticsearch, Logstash and Kibana stack. Installation and configuration of Clusters Indexing Data Queries, Aggregations, Mappings Act as the subject matter expert for ELK implementation across the shared service platform. Ability to integrate with other operational data platforms and tools including Kafka, Splunk, etc. Experience with observability and monitoring products such as AppDynamics, Elastic Search, Datadog, NewRelic, Prometheus, Grafana, etc. Proven track-record of partnering with internal customers, architects, engineers and other technical partners to gather requirements, understand existing systems and develop value-added products/services. Experience in Automating with Ansible