Position Description: 

Designs highly available, secure, scalable multi-region microservices-based solutions in Amazon Web Services (AWS). Builds secure/hardened multi-layer Linux-based Docker images supporting engineering partner needs. On-boards containerized applications and resources to Kubernetes using custom-built Helm Charts and libraries. Maintains production and non-production Kubernetes Clusters on AWS Elastic Kubernetes Service (EKS). Provides technical leadership to teams and production on-call support for EKS workloads. Promotes a DevOps mentality, provides mentorship, and establishes development standard methodologies for AWS Infrastructure as Code (IaC). Assists engineering partners with on-boarding of new Kafka/Confluent solutions. Crafts and deploys applications to the cloud using Jenkins pipelines and automation. Troubleshoots Linux-based operating systems issues efficiently. Develops Python scripts, tools, and utilities using latest techniques and best-practices. 

Primary Responsibilities: 

• Participates in architecture design teams; works closely with engineering partners to help enable and drive initiatives from design to implementation. 

• Develops observability solutions -- dashboards, alerts, and synthetics. 

• Develops comprehensive documentation for multiple applications or subsystems. 

• Responsible for meeting project goals on-time and on-budget. 

• Advises on risk assessment and risk management strategies for projects. 

• Plans and coordinates project schedules and assignments for multiple projects. 

• Acts as a primary liaison for business unit product area(s) to resolve various project/technology issues. 

• Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives. 

• Mentors junior team members. 

• Develops original and creative technical solutions to on-going development efforts. 

• Communicates complex subject-matter clearly and with various audiences.  

Education and Experience: 

Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Digital Assets Engineer (or closely related occupation) designing, developing, and maintaining scalable infrastructure solutions using Amazon EKS, AWS Cloud Services, and Terraform (IaC) within a financial services industry. 

Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Digital Assets Engineer (or closely related occupation) designing, developing, and maintaining scalable infrastructure solutions using Amazon EKS, AWS Cloud Services, and Terraform (IaC) within a financial services industry. 

Skills and Knowledge: 

Candidate must also possess: 

• Demonstrated Expertise (“DE”) designing, implementing, and supporting highly available multi-region Kubernetes clusters for mission-critical financial systems on Amazon EKS; deploying applications and upgrades to clusters using Helm and Jenkins Core Continuous Delivery (CD) pipelines; and integrating Datadog logging, Datadog synthetics, and Datadog dashboards, to preempt or surface issues to on-call. 

• DE designing, implementing, and automating deployment of advanced multi-region EKS-based cloud solutions on AWS; performing cluster upgrades of production systems to maintain production systems with zero downtime using Terraform; configuring and maintaining Aurora Postgres clusters in multi-region cloud deployments using Terraform; and troubleshooting, networking, and debugging systems using Linux (Debian, Alpine, and Ubuntu). 

• DE performing automation, tooling, and integration functions to support SRE use-cases using Git, Python, Bash shell scripting, and boto3; and performing source-code management and review to resolve Git merge conflicts, execute the pull-request process, and implement secure-code practices using Git and secure-development tools. 

• DE performing source-code development tasks to execute version control operations using Git command-line tools; performing coding in Python language using boto3 in a Linux-based environment; and performing bash shell scripting for automation of tasks in Linux environments. 

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