Lead Software Engineer: AI-Driven Cloud-Native

ARCHER; Jersey City (NJ); On-site; USD 140,000 - 210,000; Full time

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

Cash Incentive Compensation

Forfeitable Equity Compensation

Job summary

ARCHER seeks a senior lead software engineer to steer technical direction for the Commercial & Investment Bank eTrading team. You will deliver secure, high-quality software with a focus on low-latency systems and reliable operations, influencing product design and technical operations.

You will promote approved AI-assisted engineering practices, automation, and reusable SDLC patterns while mentoring engineers and contributing to the broader engineering community.

Qualifications

• Requires at least seven years of applied software engineering experience.
• Formal training or certification in software engineering concepts.
• Advanced C and C++ skills; hands-on system design, development, testing, and operational stability.

Responsibilities

• Lead technical direction and deliver secure, high-quality software for the eTrading team.
• Influence product design and technical operations; promote AI-assisted engineering practices and automation.

Skills

C

C++

Software Engineering

System Design

Application Development

Software Testing

Operational Stability

Low-Latency Systems

Technical Leadership

AI-Assisted Software Development

Responsible AI Use

Secure Coding

Cloud-Native Development

Code Review

Automation

Financial Services

Education

Related technical degree

Job description

ARCHER seeks a senior lead software engineer to steer technical direction for the Commercial & Investment Bank eTrading team. You will deliver secure, high-quality software with a focus on low-latency systems and reliable operations, influencing product design and technical operations.

You will promote approved AI-assisted engineering practices, automation, and reusable SDLC patterns while mentoring engineers and contributing to the broader engineering community.