Jobgether
United States
New
Software Engineer – DevOps (Financial Tech)
- Python
- Rust
- Artificial Intelligence
- Gitlab Ci
AI Summary
Builds and operates production-grade AI infrastructure across cloud platforms (Azure/AWS) with focus on security, observability, scalability, and governance. Owns CI/CD pipelines, DevOps automation, model lifecycle controls, and incident response for agentic AI platforms. Requires expertise in cloud architecture, MLOps, Terraform, and responsible AI practices.
Key Responsibilities
Define and implement production-readiness standards for AI platforms (deployment, security, observability, reliability, scalability, resilience, cost management, rollback, and auditability).
Design, build, and operate secure, scalable, and resilient AI infrastructure across Azure and AWS.
Establish reference architectures, environment standards, and governance controls for agents, models, data, APIs, and platform components.
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Technical Skills Required
Benefits & Perks
Remote First Work Environment (US Based)
Medical, Dental, Vision
401K with Match
Life and Disability Benefits
Unaccrued Paid Time Off
11 Paid Holidays
Employee Discounts
Employee Assistance Program
Educational Assistance Program
Employee Referral Program
Paid Parental Leave
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Nice to Have
Experience with Agile and continuous improvement practices.
Strong incident management, troubleshooting, and root-cause analysis skills.
Clear communication with technical and non-technical stakeholders.
Job Description
At Mission Underwriters, we provide the capital, issuing paper, and reinsurance access you need to launch your own Program Administrator (PA) business quickly and efficiently.
Mission is seeking an MLOps and AI Infrastructure Engineer to build and operate production-grade infrastructure across our agentic AI platforms. This hands-on role sits at the intersection of cloud engineering, DevOps, AI platform operations, and AI governance.
Essential Duties/Functions
AI infrastructure and production readiness:
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