The Enterprise Technology Services organization partners with every part of the company business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.
We equip our front-line agents with high-tech tools to enable them to deliver the exemplary service that the company is renowned for in bringing membership to life for our Cardmembers.
Travel & Lifestyle Services (TLS) Opus is a Global Customer Relationship Management platform that enables our Travel Representatives to service our Centurion and Platinum Card Members.
We are looking for a highly experienced Software Engineer to help us build upon our history of innovation and delivery as we expand our team and continue to forge a digital-first TLS. You will be working within and across agile engineering teams, partnering closely with product owners, architecture, and stakeholders to deliver high quality, scalable solutions that drive measurable business impact.
Our platform is built using a modern broad technical stack that consists of microservices and cloud-native technologies. This role will focus on uplifting and evolving backend services, driving platform-level improvements, and enabling engineering excellence across teams, with a strong emphasis on building AI enabled capabilities using Python and modern AI tooling.
Minimum Qualifications
* Expertise in backend engineering and API design
* Deep understanding of distributed systems, scalability, and fault tolerance
* Proficiency with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures
* Experience with containerization and orchestration (Docker, Kubernetes)
* Solid understanding of databases (SQL and NoSQL) and data modeling
* Knowledge of vector databases and embeddings for AI applications
* Strong understanding of machine learning fundamentals and LLM capabilities/limitations
* Experience building and deploying AI/ML systems in production environments
* Familiarity with MLOps practices including model deployment, monitoring, and lifecycle management
* Understanding of data engineering concepts including ETL pipelines and data quality
* Ability to evaluate architectural trade-offs (performance, cost, complexity)
* Strong system design and solution architecture skills
* Experience implementing observability and reliability best practices
* Strong communication skills with ability to influence technical and non-technical stakeholders
* Ability to align technical solutions with business outcomes and product goals
Preferred Qualifications
* Extensive experience building large-scale distributed systems
* Proven senior-level ownership and delivery
* Relevant degree or equivalent experience
* Strong agile experience
* Strong Python expertise (backend + AI)
* Experience with LLMs and prompt engineering
* Knowledge of AI governance (MRMG, privacy, security)
* CI/CD and cloud delivery experience
* Strong reliability and operational mindset
* Strong communication and stakeholder influence
Considerations for sponsorship
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, the company may provide visa sponsorship for certain positions.
Benefits
* Competitive base salaries
* Bonus incentives
* Support for financial-well-being and retirement
* Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
* Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
* Generous paid parental leave policies (depending on your location)
* Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
* Free and confidential counseling support through our Healthy Minds program
* Career development and training opportunities
Offer of employment with the company is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
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