Headquartered in Corning, New York, Corning is a leading global manufacturer of specialty glass and ceramics. This company has a long history of innovation and
Software Engineer - Platform & Reliability
Location
EST (UTC-5)
Posted
21 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Software Engineer - Platform & Reliability
Corning
Role Description We are looking for a Site Reliability Engineer with a strong software development background to join our Scrum team maintaining and improving an Enterprise Generative AI platform. This role focuses on platform stability, performance optimization, uptime, and availability. You will own the reliability posture of a platform serving tens of thousands of enterprise users — from infrastructure provisioning through production observability. You'll work alongside application developers, not above or below them, ensuring what they build can run safely at scale. What You’ll Do - Maintain team CI pipelines and govern code contribution quality rules including branch protection, automated testing gates, and artifact management - Craft efficient, secure Terraform for supporting infrastructure in AWS - Diagnose and troubleshoot production incidents — you are the last line of defense before the customer is impacted - Work with software developers on leveraging cloud-based SaaS or PaaS offerings safely in our product - Evaluate production readiness of developer features — you have a voice and a vote before code hits production - Provide comprehensive security review and hardening including secrets management, network policies, and IAM boundaries - Own and evolve the platform's observability stack — monitoring, alerting, dashboards, and on-call response - Manage and maintain container orchestration infrastructure (ECS/Kubernetes), including deployments, scaling policies, and health checks - Maintain and document runbooks for common failure modes so the team isn't dependent on tribal knowledge - Partner with developers during incident response — drive root cause analysis and ensure follow-through on remediation - Participate actively in Scrum ceremonies and contribute to sprint planning, estimation, and technical grooming Qualifications - 5+ years of SRE, DevOps, or infrastructure engineering experience deploying and managing cloud infrastructure using IaC tools - Experience with Terraform including authoring custom modules - Production AWS experience — you've built and operated infrastructure, not just deployed apps to someone else's - Experience instrumenting enterprise-grade applications for uptime, performance, and alerting (CloudWatch, Datadog, Prometheus/Grafana, or similar) - Comfort working inside application codebases—you can read Node.js/Python/Go well enough to diagnose issues and handle straightforward patches when developers are busy, even if you're not the one writing features - Experience with CI/CD pipeline design and maintenance (GitHub Actions, GitLab CI, Jenkins, or similar) - Experience leveraging AI coding assistants (Claude Code, Codex, Cursor, etc.) — we use these daily and expect you to as well - Strong written and verbal communication — you'll be the person explaining to a developer why their feature isn't production-ready yet, and you need to do that with clarity and respect Preferred Qualifications - Experience operating deployments on ECS or Kubernetes at enterprise scale - Experience with AWS infrastructure (EC2, ECS, ALB, DocumentDB, CloudWatch) - Prior experience supporting enterprise platforms with 10,000+ active users - Familiarity with AI/LLM platform architecture — you don't need to train models, but you should understand what the application is doing so you can support it effectively - Experience operating PostgreSQL at scale — backups, replication, performance tuning - Experience with secrets management (Vault, AWS Secrets Manager, Parameter Store) - Familiarity with container security scanning and vulnerability management - Experience writing or maintaining incident runbooks and post-mortem processes - Prior on-call experience with defined SLAs/SLOs Benefits - Autonomy and trust — you'll own the reliability posture, not just execute tickets - Opportunity to work on a high-impact, enterprise-scale Generative AI platform serving tens of thousands of users - Direct collaboration with a US-based Product Manager and Scrum team in a fast-paced, high-autonomy environment - Exposure to cutting-edge AI technologies including multi-model orchestration, agentic AI, MCP, and RAG - Competitive compensation aligned with market rates for senior engineering talent - Fully remote position with flexible working hours to accommodate US Eastern Time zone overlap
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