Lead Software Engineer - SRE Cloud Engineer (Corporate Technology - Finance and Risk Warehouse SRE)

ARCHER; Columbus (OH); On-site; USD 120,000 - 160,000; 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

Job summary

ARCHER is seeking a senior software and site reliability engineer to lead cloud infrastructure initiatives for finance and risk workloads. The role focuses on availability, reliability, scalability, and operational performance.

The candidate will drive production support through alert response and on-call rotations, promote SRE practices and automated delivery, and guide secure, AI-assisted engineering tool usage.

Qualifications

• Formal training or certification in software engineering concepts.
• At least five years of applied experience.
• Proficiency in programming language, infrastructure as code, cloud platforms, data pipelines, containers, and observability tools.
• Experience with CI/CD and enterprise‑authorized AI‑assisted development.

Responsibilities

• Lead software and cloud infrastructure work for finance and risk warehouse apps, improving availability, reliability, scalability, and performance.
• Support production through alert response and on‑call rotations.
• Promote SRE practices and automated delivery.
• Guide the safe, validated use of AI‑assisted engineering tools.

Skills

Software Engineering

Site Reliability Engineering

Python

Java

Scala

.NET

Terraform

AWS CDK

PySpark

Cloud Infrastructure

Kubernetes

Docker

Monitoring And Observability

CI/CD

AI-Assisted Software Development

Oracle

Job description

Lead software and cloud infrastructure work for finance and risk warehouse applications, improving their availability, reliability, scalability, and operational performance. Support production through alert response and on-call rotations, promote SRE practices and automated delivery, and guide the safe, validated use of AI-assisted engineering tools.

Requirements: Requires formal training or certification in software engineering concepts and at least five years of applied experience, along with proficiency in a programming language, infrastructure as code, cloud platforms, data pipelines, containers, and observability tools. Candidates should also have experience with CI/CD and enterprise-authorized AI-assisted development, including the ability to establish secure and reliable validation practices.

Key Skills: Software Engineering, Site Reliability Engineering, Python, Java, Scala, .NET, Terraform, AWS CDK, PySpark, Cloud Infrastructure, Kubernetes, Docker, Monitoring And Observability, CI/CD, AI-Assisted Software Development, Oracle

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