Lead Cloud-Native Engineer: AI-Driven Banking Microservices

ARCHER

Plano (TX)

On-site

USD 140,000 - 220,000

Full time

2 days ago
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Benefits offered by this job

Health Care Coverage
On-Site Health And Wellness Centers
Retirement Savings Plan
Backup Childcare
Tuition Reimbursement
Mental Health Support
Financial Coaching

Job summary

ARCHER is seeking an Architect to design, build, and operate secure, scalable cloud-native software and microservices. You will lead engineering practices, ensure safe use of enterprise AI tools, and enhance reliability and observability while collaborating with the Scrum team on multiple initiatives.

The role requires formal software engineering training or certification and at least five years of hands-on experience across Java, distributed systems, cloud, microservices, and API design, plus

Qualifications

  • Requires formal software engineering training or certification and at least five years of applied experience.
  • Strong Java, system design, production operations, distributed systems, cloud, microservices, and API experience.
  • Hands-on LLM and generative AI experience with safe, enterprise-approved AI tools.
  • Familiarity with AI/ML frameworks is expected.

Responsibilities

  • Architect, build, and operate secure, scalable cloud-native software and microservices.
  • Lead engineering practices and responsible use of approved AI development tools.
  • Improve reliability and observability across systems and services.
  • Collaborate with the Scrum team across multiple initiatives.

Skills

Java
Generative AI
Large Language Models
Cloud-Native Architecture
Microservices
REST APIs
Distributed Systems
AWS
PostgreSQL
AI-Assisted Software Development
System Design
Production Operations
Event-Driven Architecture
Kubernetes
Agile
Secure Coding

Education

Formal software engineering training or certification

Job description

ARCHER is seeking an Architect to design, build, and operate secure, scalable cloud-native software and microservices. You will lead engineering practices, ensure safe use of enterprise AI tools, and enhance reliability and observability while collaborating with the Scrum team on multiple initiatives.

The role requires formal software engineering training or certification and at least five years of hands-on experience across Java, distributed systems, cloud, microservices, and API design, plus

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