Lead API Platform Engineer - Secure, AI-Augmented Microservices

ARCHER; Palo Alto (CA); On-site; USD 180,000 - 240,000; 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

Incentive Compensation

Forfeitable Equity

Job summary

ARCHER is seeking an experienced software engineer to design, build, and advance a secure, scalable API platform that serves production needs across the software lifecycle.

You will lead technical decisions, engage stakeholders, and drive improvements in engineering quality while guiding safe adoption of AI-assisted development practices.

Requirements include five years of hands-on experience with Java, Spring Boot, REST, microservices, databases, and AWS-based containerized systems.

Qualifications

• Requires at least five years of applied software engineering experience.
• Must have hands-on experience with Java, Spring Boot, REST, microservices, databases, cloud-native development, and AWS-based containerized systems.
• Candidates should have API platform expertise and experience guiding safe, AI-assisted engineering practices.

Responsibilities

• Design, build, and enhance a secure, scalable API platform across the software development lifecycle.
• Lead technical decisions and stakeholder discussions to align on architecture and priorities.
• Improve engineering quality, reduce technical debt, and promote responsible AI-assisted development practices.

Skills

Java

Spring Boot

REST APIs

Microservices

API Platform Engineering

AWS

Docker

Kubernetes

API Security

OAuth

Cloud-Native Development

Network Diagnostics

Resilient Systems Design

AI-Assisted Software Development

Agile

Test-Driven Development

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS

Job description

ARCHER is seeking an experienced software engineer to design, build, and advance a secure, scalable API platform that serves production needs across the software lifecycle.

You will lead technical decisions, engage stakeholders, and drive improvements in engineering quality while guiding safe adoption of AI-assisted development practices.

Requirements include five years of hands-on experience with Java, Spring Boot, REST, microservices, databases, and AWS-based containerized systems.