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American Express
American Express
B2Bबैंकिंगवित्त
American Express एक वैश्विक वित्तीय सेवा कंपनी है, जो बैंकिंग, वित्त और B2B भुगतान के क्षेत्र में काम करती है। इसके व्यवसाय में उपभोक्ता, व्यवसाय और कॉर्पोरेट क्रेडिट कार्ड; भुगतान और मर्चेंट सेवाएँ; बचत खाते, सावधि जमा और व्यक्तिगत ऋण; साथ ही रिवॉर्ड, यात्रा कार्यक्रम, कॉर्पोरेट भुगतान समाधान, वित्तीय शिक्षा, सुरक्षा सेवाएँ तथा कार्डधारक और मर्चेंट सहायता शामिल हैं।
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कंपनी की नौकरियाँ

Senior Java and AI Cybersecurity Engineer - American Express Phoenix Hybrid

Senior Cybersecurity Engineer developing PKI, cryptography, cloud-native services, and AI automation for American Express Data Security. This role strengthens resilient security capabilities across a global financial-services environment.

USसंयुक्त राज्यAZएरिज़ोना
$1,23,000 – $2,15,250 / वर्ष
हाइब्रिडपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीAI इंजीनियरमशीन लर्निंग इंजीनियर
AWSAzureDockerGoGoogle Cloud PlatformJavaJavaScriptKubernetesPythonSOAPTypeScriptVaultक्लाउडमाइक्रोसर्विसेजसाइबर सुरक्षा

विवरण

  • Create and support enterprise PKI, cryptography, and Data Security services.
  • Build capabilities using encryption, tokenization, digital certificates, signing, symmetric and asymmetric cryptography, and key management.
  • Expand the use of Generative AI and AI-assisted engineering for development, testing, reviews, documentation, troubleshooting, and vulnerability remediation.
  • Create AI-driven automation that detects operational problems, speeds root-cause analysis, performs remediation, and reduces repeat incidents.
  • Use AI agents and intelligent workflows to streamline recurring engineering and operational work and increase developer productivity.
  • Integrate applications and services with HashiCorp Vault, KMS, HSM, enterprise PKI, and certificate-management systems.
  • Develop secure APIs and microservices with Java, Python, Go, JavaScript/TypeScript, or comparable technologies.
  • Implement REST and SOAP integrations with secure authentication, authorization, and communication practices.
  • Build and run cloud-native services with Kubernetes, Docker, service mesh, and public or private cloud platforms.
  • Improve observability and proactive monitoring to detect and address failures before they become production incidents.
  • Promote engineering standards for secure coding, automated testing, CI/CD, resilience, performance, and production readiness.
  • Contribute to architecture and technical design reviews while shaping Data Security engineering standards.
  • Mentor engineers and advise on PKI, cryptography, secure software development, cloud-native engineering, and AI automation.
  • Collaborate with Product, Architecture, Engineering, Cybersecurity, and Operations teams to deliver secure, resilient solutions.

आवश्यकताएँ

  • Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or equivalent practical experience.
  • At least seven years of professional software development experience.
  • At least two years leading software developers through technical mentoring and design guidance.
  • At least five years of experience in financial services or another highly regulated industry.
  • At least five years building APIs, microservices, or backend applications with Java, Python, Go, JavaScript/TypeScript, or similar languages.
  • At least five years developing or consuming REST and/or SOAP services.
  • At least two years working with GCP, AWS, Azure, or private or hybrid cloud environments.
  • At least two years using Kubernetes, Docker or other containerization, service mesh, or related cloud-native technologies.
  • At least two years developing solutions involving PKI, symmetric or asymmetric cryptography, encryption, tokenization, digital certificates, or cryptographic key management.
  • At least two years integrating services with HashiCorp Vault, KMS, HSM, or comparable secrets and key-management technologies.
  • Practical experience incorporating LLMs or Generative AI into applications, engineering processes, or operational automation.
  • Practical experience with AI agents, RAG, LLM APIs, prompt engineering, agentic workflows, or comparable Generative AI patterns.
  • Experience using AI for incident detection, root-cause analysis, vulnerability remediation, observability, automated recovery, or related engineering and operations scenarios.
  • Must be eligible to work for American Express in the United States; visa sponsorship is not available.

लाभ

  • Bonus compensation.
  • Employee benefits.

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