Lead Infrastructure Engineer - Devops (AWS, Terraform, Python, Kubernetes)

Job responsibilities

• Build, manage, and monitor the quantitative technology stack.

• Provision AWS resources to support expanding platform needs.

  Implement CI/CD tools and source control using Git and BitBucket

• Manage upgrade cycles and address resource security findings
• Mentor and guide junior engineers, promoting best practices in security, compliance, and cloud-native development.

• Develop automation tools and/or code to manage and monitor the infrastructure.

  Provide technical support during software development

• Troubleshoot any issues that arise in the test and computational environments

• Maintain inventory of the relevant environments.

  Assist development team in debugging environment specific issues

• Take part in operational support of ETL processes
• Stay current with industry trends and source new ways for our business to improve

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• Bachelor's Degree in Computer Science, Engineering, Software Engineering, or a relevant field
• Expertise in administration of AWS Services like EC2, EKS, S3, Lambda, RDS/Aurora, ElastiCache, ELB, EMR, CodeDeploy, and CloudWatch
• Strong Experience working with Terraform

• Strong Experience working with Kubernetes and Docker

  with tools such as Jenkins and Spinnaker

• Experience using Git.

  Experience with FinOps best practices for cloud architectures

• Experience with project workflow tools such as Jira in an Agile-Scrum environment.

  Experience with Linux-based infrastructures, and Linux administration

• Strong communication & interpersonal skills and ability to explain protocol and processes to the team.

  Strong troubleshooting skills with the ability to spot issues before they become problems

• Experience working with relational databases such as PostgreSQL.

  Experience with administration of job orchestration tools such as Airflow

• Ability to deploy software written in Python

• Experience working with relational databases such as PostgreSQL
• Experience with administration of job orchestration tools such as Airflow

• Ability to deploy software written in Python