Senior SRE Engineer — AI-Driven Reliability

Archer

Wilmington (DE)

On-site

USD 120,000 - 160,000

Full time

10 hours ago
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Benefits offered by this job

Health benefits
Retirement plan
On-site wellness centers
Tuition reimbursement
Mental health support
Financial coaching

Job summary

Archer, collaborating with JPMorgan Chase, invites you to join as a Software Engineer III in the Enterprise Technology group. You will lead design reviews, break problems into work for others, and act as a technical lead for medium to large products, mentoring teammates along the way.

You will apply reliability, security, and AI-assisted development across SDLC tools, drive incident prevention, and contribute to secure coding practices.

Qualifications

  • Formal software engineering education with practical experience in large-scale systems.
  • Proficiency in reliability, performance, security, and toil reduction.
  • Experience using enterprise AI capabilities and setting safe AI practices.

Responsibilities

  • Lead design reviews and break down complex problems for engineers.
  • Provide mentoring and technical leadership for medium to large products.
  • Develop secure, high-quality production code and review others' code.
  • Drive incident management and operational reliability improvements.
  • Leverage AI-assisted development tools with secure, auditable outputs.
  • Promote reusable patterns and SDLC automation across teams.

Skills

Leadership
Python/Java
Observability
AI tooling
Reliability practices
CI/CD
Networking basics
Troubleshooting
Secure coding
Mentoring

Education

Bachelor's degree in Computer Science

Tools

Grafana
Dynatrace
Prometheus
Datadog
Splunk
Kubernetes
Docker

Job description

Archer, collaborating with JPMorgan Chase, invites you to join as a Software Engineer III in the Enterprise Technology group. You will lead design reviews, break problems into work for others, and act as a technical lead for medium to large products, mentoring teammates along the way.

You will apply reliability, security, and AI-assisted development across SDLC tools, drive incident prevention, and contribute to secure coding practices.

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