Senior Engineer Core Infrastructure

JetBlue Airways Corporation•New York, DC

2d•Hybrid

About The Position

The Senior Core Infrastructure Engineer is focused on ensuring the creation and management of Infrastructure, including managing the operational stability, performance, and cost-efficiency of our cloud-hosted data infrastructures, serving both internal and external users. The Senior Core Infrastructure Engineer excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field; OR demonstrated capability to perform job responsibilities with a combination of a High School Diploma/GED and at least four (4) years of previous relevant work experience.
Three (3) years of experience building and supporting cloud infrastructure using best practices from the ground up.
Ability to write high-quality code in Python.
Proficiency with containerization technologies such as Kubernetes, Docker, and infrastructure-as-code tools like Terraform and Helm.
Experience with relational and low-latency databases, as well as a solid understanding of data lake strategies.
Knowledge of cloud infrastructure and networking concepts with experience in troubleshooting issues related to the same.
Provide 24x7 on-call support as scheduled and be available to respond to business-critical issues.
Ability to work flexible hours in response to emergencies.
Available for overnight travel (10%).
Must pass a pre-employment drug test.
Must be legally eligible to work in the country where the position is located.
Authorization to work in the US is required. This position is not eligible for visa sponsorship.

Nice To Haves

Experience working on sensitive data projects with PCI/personally identifiable information (PII) compliance.
Proven experience building Cloud infrastructure in Azure and AWS from the ground up using Terraform/OpenTofu.
Familiarity with Azure/AWS cloud security best practices and data governance frameworks.

Responsibilities

Be part of a team responsible for building and supporting scalable cloud infrastructure leveraging Azure and AWS environments.
Responsible for supporting the cloud environment including but not limited to troubleshooting issues related to cloud PAAS resources, cloud networking and cloud Infrastructure.
Work in partnership with product, data operations, and technical leadership to align engineering activities with broader company goals.
Expertise in cloud platforms, especially Azure and AWS, leveraging services like AKS/EKS Azure Data Lake/ Glacier, CosmosDB / DynamoDB, Neo4j, and Azure AI/ML services.
Strong knowledge of DevOps practices and tools such as continuous integration (CI)/continuous delivery (CD), Git, Jenkins, Ansible, and Terraform for infrastructure automation.
Set up and manage effective observability solutions for data and platform services, ensuring operational excellence.
Strong foundation in data infrastructure tooling (e.g., Spark, Airflow, Databricks) and machine learning platforms, with a focus on Azure Machine Learning, and Neo4j for graph data analysis.
Collaborate with Data Engineers, Developers, Product Engineers and SRE’s to build and support experimentation platforms, training frameworks, and associated tools.
Ability to navigate complex and ambiguous environments, while maintaining a broad business-wide perspective across various work-streams and timeframes.
Ensure platform security, compliance, and governance practices, including managing identity and access management (IAM) roles, encryption, auditing, and logging protocols.
Manage significant system upgrades, enhancements, migrations, and integration, while overseeing the release of new software to quality assurance (QA), production, and disaster recovery environments.
Maintain system compliance with regulatory controls such as Sarbanes–Oxley Act (SOX), Payment Card Industry (PCI), IT General Controls, and other required security frameworks.
Advocate, train, and provide technical support on new technologies related to AI/ML and data infrastructure.
Take a significant role in the development of team members to support engagement, growth, and achievement of goals.
Other duties as assigned.