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Balyasny Asset Management L.P.

Senior Cloud Engineer

Balyasny Asset Management L.P., New York, New York, us, 10261

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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 Senior Cloud Engineer at BAM, you will: Serve as a mentor and guide to Cloud Engineering team members Play a key role in 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 Core Tech Stack: Public cloud: AWS and Azure Infrastructure Code: Terraform OS: Linux and Windows Observability Tools: Grafana, Prometheus, Thanos, OpenTelemetry To be considered a good cultural fit, you must be: Hungry to learn A very strong and efficient communicator Able to multi-task and excel in a fast-paced trading environment A problem solver; able to develop quick and sound solutions to complex problems Comfortable working in, and leading, an agile-based team To be considered a good technical fit, you must have: 7+ years, hands-on experience architecting and implementing large-scale, highly available, services on public cloud (AWS preferred) A bachelor’s degree in engineering, computer science, information systems, or related field Expert knowledge of immutable infrastructure, infrastructure automation and provisioning tools, such as AWS CloudFormation or Terraform Expert understanding of AWS products, including: EC2, S3, ALB/NLB, VPC, Lambda, RDS, ElastiCache, DynamoDB, Batch, IAM, SQS, SNS 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 Public cloud architecture and strategy planning experience Contributions to open-source libraries, projects, or communities AWS Certified Solutions Architect (Associate or Professional), AWS Certified SysOps Administrator Associate 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 BAM is an equal opportunity employer and welcomes applications from diverse candidates.

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