What are the responsibilities and job description for the Lead Engineer, Cloud Engineering position at Balyasny Asset Management?
This exciting hands-on role within our Infrastructure & Platform Services team will provide you with the opportunity to make a lasting impact on the firm's cloud implementation, strategy, and architecture design. At BAM, you will have the chance to work with some of the smartest and most driven individuals in the industry.
As a Cloud Engineering Lead at BAM, you will :
Lead a global team of Cloud Engineers and oversee delivery of the team's work-product
Serve as a mentor and guide to Cloud Engineering team members
Be responsible for architecting and managing BAM's public cloud environments
Partner with developers and internal stakeholders to understand requirements and provide recommendations for cloud solutions and strategies to address those needs
Work with Infrastructure & Platform teams to provide a consistent end user experience across BAM's on-premise and cloud environments
Write code : whether it's Python, Terraform, Puppet, or something else, writing code to automate and optimize deployment of infrastructure and applications is a core part of this role
Develop self-service capabilities that allow stakeholders to access cloud services quickly and efficiently
Implement and support applications and systems running on BAM's cloud environment
Stay up to date with the latest trends and offerings within the cloud computing space and act as a champion of cloud adoption across the organization
Provide a platform as a product to others within the organization : we create and maintain a world-class cloud and application platform, which we then operate and offer as a product
Participate in out-of-hours on-call rotation and maintenance
Strong to Expert understanding of Kubernetes as a platform, including cluster creation from scratch, cluster management, security, deployment of applications, usage of Helm; experience with managed Kubernetes platforms, such as EKS, AKS, or GKE a plus
Experience with cloud-native security practices and tools
Understanding of FinOps principles and cloud cost optimization
Strong knowledge of automation scripting using Python and / or Bash
Strong knowledge of Linux administration particularly RHEL-based operating systems
Strong operational understanding of networking concepts, architecture, and best practices, especially as it relates to hybrid cloud integration
Hands on experience working with container technologies (Docker, Podman)
Experience with disaster recovery and business continuity planning
Familiarity with source control systems (Git) as well as CI / CD tools (Jenkins, TeamCity, BitBucket, Azure Pipelines)
Analytical skills - Ability to troubleshoot and logically assess problems and determine solutions
Detailed documentation skills - ability to represent ideas, requirements, reference architecture and problems in clear, concise, and business-friendly documents
Bonus points for :
Public cloud architecture and strategy planning experience
Contributions to open-source libraries, projects, or communities
Any additional AWS, Azure, or GCP resource specializations
Kubernetes certifications (CKA, CKAD, CKS)
Experience with configuration management tools such as Ansible
Knowledge of AI / ML infrastructure management
Experience with platform engineering practices
Don't have all the skills listed above? Have extra skills you think are important that we haven't thought of? Please, let us know by applying and telling us a bit more about yourself and why you think you're qualified!
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