Senior Engineer Core Infrastructure

JetBlue Airways Corporation•New York, DC

114d•$105,600 - $150,400•Hybrid

About The Position

The Senior Core Infrastructure Engineer is responsible for creating and managing infrastructure, including operational stability, performance, and cost efficiency for cloud-hosted data infrastructure serving internal and external users. The role contributes to complex projects and supports scalable cloud infrastructure in Azure and AWS. The engineer partners with product, data operations, technical leadership, Data Engineers, Developers, Product Engineers, and SREs to align engineering work with company goals and build and support experimentation platforms, training frameworks, and related tools. The position covers cloud infrastructure and networking, data and machine-learning platforms, observability, automation, security, compliance, governance, upgrades, migrations, integrations, and software releases across QA, production, and disaster recovery environments. It also includes technical support and training on AI/ML and data infrastructure technologies, plus contributing to the growth and development of team members. The role provides scheduled 24x7 on-call support, requires flexibility to respond to emergencies and business-critical issues, and includes overnight travel of up to 10%. The work is performed in a traditional office environment. The position requires U.S. work authorization and is not eligible for visa sponsorship.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field; alternatively, a High School Diploma/GED plus at least four years of relevant work experience and demonstrated capability to perform the job responsibilities.
Three years of experience building and supporting cloud infrastructure from the ground up using best practices.
Ability to write high-quality Python code.
Proficiency with containerization technologies such as Kubernetes and Docker, and infrastructure-as-code tools such as Terraform and Helm.
Experience with relational and low-latency databases and a solid understanding of data lake strategies.
Knowledge of cloud infrastructure and networking concepts, with experience troubleshooting related issues.
Ability to provide scheduled 24x7 on-call support and respond to business-critical issues.
Ability to work flexible hours in response to emergencies.
Availability for overnight travel of 10%.
Must pass a pre-employment drug test.
Must be legally eligible to work in the country where the position is located; U.S. work authorization is required, and visa sponsorship is not available.
Regular attendance and punctuality, professional appearance, and appropriate fit with JetBlue’s culture and values.
Must fulfill safety accountabilities under JetBlue’s Safety Management System and comply with applicable laws, regulations, company policies, procedures, and risk controls.
The use of ChatGPT or another automated tool during the interview process disqualifies candidates.

Nice To Haves

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

Responsibilities

Build and support scalable cloud infrastructure in Azure and AWS.
Support cloud environments and troubleshoot issues involving PaaS resources, cloud networking, and cloud infrastructure.
Partner with product, data operations, and technical leadership to align engineering activities with company goals.
Use cloud platforms and services such as AKS/EKS, Azure Data Lake/Glacier, CosmosDB/DynamoDB, Neo4j, and Azure AI/ML services.
Apply DevOps practices and tools, including CI/CD, Git, Jenkins, Ansible, and Terraform, for infrastructure automation.
Set up and manage observability solutions for data and platform services.
Support data infrastructure and machine-learning platforms, including Spark, Airflow, Databricks, Azure Machine Learning, and Neo4j.
Collaborate with Data Engineers, Developers, Product Engineers, and SREs to build and support experimentation platforms, training frameworks, and associated tools.
Maintain a broad business perspective while navigating complex and ambiguous environments across workstreams and timeframes.
Ensure platform security, compliance, and governance, including identity and access management, encryption, auditing, and logging.
Manage system upgrades, enhancements, migrations, and integrations, and oversee software releases to QA, production, and disaster recovery environments.
Maintain compliance with SOX, PCI, IT General Controls, and other required security frameworks.
Advocate for, train users on, and provide technical support for new AI/ML and data infrastructure technologies.
Help develop team members to support engagement, growth, and achievement of goals.
Provide scheduled 24x7 on-call support and respond to business-critical issues; work flexible hours during emergencies.
Perform other duties as assigned.
Meet JetBlue attendance, conduct, safety, security, and regulatory expectations, including reporting safety or security concerns and adhering to applicable laws and company policies.
When working or traveling on JetBlue flights, assist with light aircraft cleaning if capable and time permits.