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Senior AI Software Engineer

1 hour, 18 minutes ago
United States
Senior
DevOps Engineer
DevOps and Infrastructure
AWS AWS CDK CI/CD Confluence EC2 GitHub Actions GitLab CI Go Grafana GraphQL JIRA Kafka Kubernetes Node.js Pulumi Python REST API Terraform TypeScript
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Nice Côte d'Azur

Nice Côte d'Azur

Nice Côte d'Azur promotes tourism in the Nice Côte d'Azur region, offering resources for exploring the area and organizing weekend getaways that blend coastal and mountain experiences, while also providing interactive exploration games and multimedia c...

Hotels, Restaurants & Leisure
Founded 1960
View All Jobs 104

Description

  • Design and build end-to-end automation pipelines for cluster provisioning and new region or environment builds.
  • Automate infrastructure lifecycle tasks by converting manual operator workflows into reliable, idempotent, API-driven pipelines.
  • Build tooling to provision and validate monitoring, alerting, telemetry, and network connectivity for new regions.
  • Integrate automation into CI/CD systems such as GitLab CI and Backstage with pipeline gates and release controls.
  • Develop AI Ops incident intelligence capabilities that surface signal, identify recurring failures, and recommend remediation paths.
  • Build AI-powered change risk scoring and production readiness gates for deployment workflows.
  • Implement automated rollback logic based on business-level signals such as error rate, latency, and revenue impact.
  • Collaborate with SRE, Systems, Network, and Voice Engineering teams to identify high-toil workflows and automation opportunities.
  • Build and maintain MCP server integrations that allow AI agents to safely interact with ServiceNow, Jira, Confluence, and AWS APIs.
  • Design solutions that meet sovereign isolation and compliant data boundary requirements across regional cloud instances.

Requirements

  • 5 or more years of software engineering experience with emphasis on backend systems, infrastructure automation, or platform engineering.
  • Production-grade experience in Python or Go, with comfort in polyglot environments.
  • Experience with TypeScript or Node.js is a plus.
  • Deep experience with AWS, including IAM, EC2, EKS, RDS, Lambda, CloudWatch, and multi-account architectures.
  • Hands-on experience building automation that interacts directly with REST or GraphQL APIs.
  • Familiarity with CI/CD systems such as GitLab CI or GitHub Actions.
  • Experience with infrastructure-as-code tools such as Terraform, CDK, or Pulumi.
  • Demonstrated ability to build AI-powered workflows using LLM APIs such as Anthropic or OpenAI, including prompt engineering, tool use, function calling, and agentic orchestration.
  • Strong understanding of distributed systems, Kubernetes, and cloud-native observability including metrics, logs, and traces.
  • Excellent written and verbal communication skills, with the ability to produce documentation, runbooks, and architecture diagrams.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
  • Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, AG2, Semantic Kernel, or Smolagents is a plus.
  • Prior work in regulated or sovereign cloud environments such as FedRAMP, IL4, UK G-Cloud, or AU PROTECTED is a plus.
  • Familiarity with Backstage developer portals and their integration with CI/CD pipelines is a plus.
  • Experience with OpenObserve, Grafana, or similar observability platforms at scale is a plus.
  • Background in SRE, NOC tooling, or incident management automation, especially alert correlation and runbook automation, is a plus.
  • Exposure to Kafka or other distributed messaging systems in a production operations context is a plus.
  • Prior experience building internal tooling that replaced manual, click-through web interfaces for infrastructure operations is a plus.

Benefits

  • Opportunity to work on mission-critical software used across a global multi-region cloud platform.
  • Equal opportunity employer with consideration for all qualified applicants regardless of protected characteristics.
  • No explicit compensation, PTO, or health benefits were listed in the posting.
  • Potential to work on high-impact AI and automation initiatives across multiple engineering teams.
  • Exposure to sovereign cloud environments and regulated-region operations.

Interested in this position?

Apply directly on the company website

Apply Now

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