Hybrid Senior Software Engineer - ML Production & Backend

Zionsbancorp

United States

Hybrid

USD 140,000 - 200,000

Full time

4 days ago
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Benefits offered by this job

Medical, Dental and Vision Insurance –
Life and Disability Insurance
401(k) plan with company match
Paid Time Off and Holidays
Tuition Reimbursement

Job summary

Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming how we work in financial services. We are seeking a Senior Software Engineer to productionize machine learning applications at scale, designing, building, and maintaining production systems that support data and ML initiatives.

You will establish and evolve engineering practices, including SDLC, CI/CD, testing, and containerization, while mentoring the team.

Qualifications

  • 6+ years of professional software engineering experience with production services.
  • Strong proficiency in at least one backend language (Python, Java, Go, or Kotlin).
  • Solid understanding of API design and distributed systems fundamentals.
  • Hands-on experience with Docker and Kubernetes in production.
  • Experience instrumenting production services with metrics, structured logging, tracing, and alerting (Splunk or Grafana).

Responsibilities

  • Design, build, and operate reliable backend services and APIs.
  • Define reliability targets for production systems.
  • Document architectural decisions balancing reliability and timelines.
  • Build and maintain CI/CD pipelines, environments, and container-based deployment practices.
  • Collaborate on a cross-functional Agile team and mentor on production engineering practices.

Skills

Python
Java
Go
Kotlin

Tools

Docker
Kubernetes
CI/CD pipelines
Splunk
Grafana

Job description

Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming how we work in financial services. We are seeking a Senior Software Engineer to productionize machine learning applications at scale, designing, building, and maintaining production systems that support data and ML initiatives.

You will establish and evolve engineering practices, including SDLC, CI/CD, testing, and containerization, while mentoring the team.

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