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Sr. Forward Deployed Engineer

Backend Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Design and deliver AI-enabled automation that makes IT operations more reliable, consistent, and efficient across a broad enterprise environment. The work spans infrastructure, service management, cloud operations, security, and business workflows, partnering with IT, security, and operational teams to identify opportunities and support adoption.

Responsibilities - Analyze performance, availability, scalability, and security needs, then design integrations for complex technical environments. - Automate incident, service request, problem, knowledge, provisioning, patching, compliance, and lifecycle workflows using AI, scripting, and orchestration. - Build AIOps capabilities to correlate alerts, detect patterns, reduce monitoring noise, predict failures, and support automated remediation. - Create infrastructure-as-code templates, test workflows, delivery pipelines, safeguards, and repeatable operational runbooks. - Improve cloud cost management and automate purchasing, budgeting, financial reconciliation, and hardware and software asset workflows. - Document systems and automation, collaborate across teams, mentor colleagues, and drive ongoing process improvements.

Requirements - Bachelor’s degree in IT, computer science, engineering, or equivalent professional experience. - At least 10 years of IT systems engineering across servers, networks, storage, cloud, databases, and end-user or endpoint management. - Programming experience such as Python, plus practical API integration and systems integration skills. - Experience with Microsoft 365 or a comparable Microsoft environment, including cloud or on-premises services and endpoint management. - Ability to work across hybrid, multi-forest, multi-tenant, and multi-cloud architectures, and to learn unfamiliar systems quickly. - Hands-on experience with LLMs, generative AI workflows, or agent-based automation; strong analytical skills using logs, metrics, and traces.

Nice to have - Infrastructure-as-code and CI/CD experience, such as Terraform or Ansible, plus familiarity with observability, monitoring, SIEM/SOAR, or automated remediation. - Experience in enterprise operations, internal engineering, platform operations, IT automation, asset management, purchasing, or cloud cost optimization. - Industry certifications or experience in regulated government environments.

Benefits and work setup Remote role with approximately 25% travel. Compensation may include annual incentive or long-term incentives; benefits include medical, dental, vision, retirement, and paid time off.

Skills detected in the listing

PythonInformation SecurityAWSAzureTerraformLLM
Detected Oct 26, 2026
Last verified Oct 26, 2026

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