Senior Lead Software Engineer (Commercial & Investment Bank - Payments)

ARCHER

Palo Alto (CA)

On-site

USD 150,000 - 210,000

Full time

9 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

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

Lead technical direction and deliver secure, high-quality software for the Commercial and Investment Bank Payments Technology team, including system design, development, testing, and operational support. Promote responsible, approved AI-assisted engineering practices, establish validation standards, and guide teams in adopting reusable tools and automation across the software development lifecycle.

Requirements:

Requires formal software engineering training or certification and at least five years of applied experience, with hands-on delivery experience and advanced proficiency in a language such as Java, Python, or Go. Candidates must have practical cloud-native experience and demonstrate leadership in secure, responsible use of enterprise-authorized AI development tools; knowledge of machine learning, generative AI, agentic systems, and cloud platforms is preferred.

Key Skills: