Senior Forward Deployed Engineer (DevOps​/SRE

Job Description

Experience: Senior Level

Salary: $300,000 - $350,000 per year

Responsibilities:

• Implement and optimize an AI-powered Site Reliability Engineering (SRE) platform to meet customer needs across production and pre-production environments.
• Proactively monitor customer deployments to ensure customers maximize value from the platform.
• Identify latent reliability issues such as misconfigurations, deployment regressions, and scaling challenges within customer environments.
• Recommend best practices for implementing AI-powered SRE solutions.
• Plan, design, build, and maintain highly scalable, reliable, and efficient cloud infrastructure.
• Serve as the customer's technical advocate with internal engineering and product teams.
• Conduct post-incident reviews to identify root causes and implement preventative measures.
• Ensure security best practices are integrated into customer deployments.
• Train customer SRE, Operations, and Platform Engineering teams on platform usage and best practices.
• Lead enterprise migrations from legacy alerting, AIOps, and incident management platforms, including correlation rule migration, phased cutovers, and production go-live execution.
• Design, build, and optimize alert normalization and correlation policies using conditions, regular expressions, field extraction, and customized workflows.
• Integrate the platform with customer operational systems, including ITSM, collaboration, observability, source control, and documentation platforms.
• Validate and continuously improve AI investigation quality by tuning enrichment, root cause analysis accuracy, and investigation workflows.
• Build proactive monitoring for customer deployments to identify issues before they impact customers.
• Own customer-facing project communications, including executive status updates, SLA documentation, escalation management, and implementation tracking.
• Develop long-term technical relationships with senior engineering leadership.
• Own customer implementations from technical discovery through solution design, implementation, user acceptance testing, production go-live, stabilization, and ongoing optimization.
• Translate ambiguous customer requirements into clear technical designs, milestones, acceptance criteria, and execution plans.
• Design and implement AI-powered investigation and automation workflows with appropriate guardrails, governance, deterministic fallbacks, and human oversight.
• Develop reusable deployment modules, reference architectures, implementation guides, and operational runbooks to accelerate future deployments.
• Define customer success metrics, establish baselines, measure operational improvements, and demonstrate business value through KPIs such as MTTR reduction and operational efficiency.
• Capture customer feedback and recurring implementation learnings to influence future product development.
• Foster a culture of continuous improvement and technical excellence.

Qualifications:

• Customer-focused with deep empathy for SRE, Dev Ops, Platform Engineering, and IT Operations teams.
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• 6+ years of experience in Site Reliability Engineering, Dev Ops, Platform Engineering, or similar infrastructure-focused roles, including technical leadership or end-to-end customer delivery.
• Experience in Forward Deployed Engineering, Solutions Engineering, Technical Customer Success, or Professional Services is highly preferred.
• Strong programming experience in at least one language such as Python, Go, or Java.
• Hands-on experience with public cloud platforms (AWS, Azure, or Google Cloud Platform).
• Strong knowledge of Kubernetes, Infrastructure as Code (Terraform, Cloud Formation, Ansible), and CI/CD pipelines.
• Practical experience using Generative AI and machine learning technologies to improve engineering productivity.
• Experience with observability platforms, ITSM systems, and incident management tools, including systems integration and data mapping.
• Strong troubleshooting, analytical, and debugging skills, including alert correlation, normalization, and regular expression development.
• Excellent written and verbal…