hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
LUMI is the company’s largest Big Data Platform, ideally suited for computationally and/or data intensive processing applications. Whether the data needs to be processed in batch, online, or streaming manner, Lumi provides robust capabilities to handle such workloads effectively, in a cost-efficient manner.
A hub of very hardworking Big Data engineers and most exciting & upcoming technologies. Cornerstone platform offers an environment where Engineers are challenged every day to build world class products.
As we embark on the journey to move to public cloud - GCP you will be part of a fast-paced Agile team, design, develop, test, troubleshoot & optimize solutions created to simplify access to the Amex’s Big Data Platform.
Responsibilities:
Qualifications:
8+ years of experience designing, building, and implementing distributed cloud architecture within cloud environments. GCP preferred.
Provisioning, Network configuration for compute resources (ie. Google Compute Engine, Dataproc), serverless networking, infrastructure orchestration, resource configuration.
3 + years of experience on GCP services like Cloud dataflow, Cloud Pub-Sub, Big Query, Cloud Storage, Cloud Dataflow, Google Composer etc..,
Implement and maintain AI/GenAI services using Google Cloud AI services, e.g. Vertex AI.
2 + years of experience in Model Deployment: Build and deploy end-to-end ML models, leveraging metrics to support predictions, recommendations, search, and growth strategies
2 + years experience with Infrastructure as Code (IaC) and Automation Tools approach using machine-readable definition files (e.g. Terraform, Ansible)
3 + years experience with system performance - Monitoring, logging, and analyzing system performance (e.g., Prometheus, ELK stack, Icinga, Splunk, Dynatrace)
Min 5 + years of experience with Installation and Configuration of Big Data Real Time Application tools such as Elastic Search, Kibana, Logstash, Tomcat, Solr, Apache HTTPD, JBoss etc.
Optimize cloud-based systems for performance, reliability, and cost-efficiency.
Monitor and troubleshoot cloud infrastructure, ensuring high availability and security.
Understanding of fundamentals of Git and Git workflows.
Experience with scripting and automation (Python, Ruby, PowerShell, bash)
Experience of working in agile application development environment.
Experience of supporting platform Engineering Activities, Network, firewall.
Salary Range: $85,000.00 to $150,000.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
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