Senior Lead Software Engineer - AI-Driven Secure Payments

ARCHER

Palo Alto (CA)

On-site

USD 150,000 - 210,000

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's Payments Technology team seeks a leader to steer technical direction for commercial and investment banking software, delivering secure, high-quality systems through design, development, testing, and operations. You will promote responsible, AI-assisted engineering practices and establish validation standards across teams.

Candidates should have formal training with at least five years of hands-on delivery, proficiency in Java, Python, or Go, and cloud-native experience.

Qualifications

  • Requires formal software engineering training or certification and at least five years of applied experience.
  • Hands-on delivery experience with proficiency in Java, Python, or Go.
  • Experience with cloud-native development and secure AI tool usage.

Responsibilities

  • Lead technical direction and deliver secure, high-quality software.
  • Oversee system design, development, testing, and operational support.
  • Promote responsible, approved AI-assisted engineering practices and validation standards.
  • Guide teams in adopting reusable tools and automation across the SDLC.

Skills

Software Engineering
Java
Python
Go
System Design
Application Development
Software Testing
Operational Stability
Cloud-Native Development
AI-Assisted Software Development
Responsible AI
Secure Coding
Code Review
Automated Testing
Machine Learning
Site Reliability Engineering

Education

Formal software engineering training or certification

Tools

Cloud Platforms
AI Development Tools
Machine Learning Frameworks

Job description

ARCHER's Payments Technology team seeks a leader to steer technical direction for commercial and investment banking software, delivering secure, high-quality systems through design, development, testing, and operations. You will promote responsible, AI-assisted engineering practices and establish validation standards across teams.

Candidates should have formal training with at least five years of hands-on delivery, proficiency in Java, Python, or Go, and cloud-native experience.

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