Remote AI SDLC Engineer — Automation & Platforms

CrowdStrike Inc.; United States; Remote; USD 140,000 - 215,000; Full time

Benefits offered by this job

Market-leading compensation and equity

Comprehensive wellness programs

Generous vacation and holidays

Paid parental and adoption leave

Professional development opportunities

Employee networks and community groups

Vibrant office culture and certified

Job summary

CrowdStrike is seeking an AI SDLC Engineer to scale agentic AI across the software development lifecycle. You will design platforms and workflows that empower engineers to ship faster, offload routine tasks to AI agents, and focus on complex problems.

You will collaborate with teams to optimize context grounding, model routing, and observability while ensuring cost-efficient AI usage. This role emphasizes responsible, effective AI adoption across the organization and requires security-conscious

Qualifications

• 5+ years of backend/platform engineering experience, ideally with production Kubernetes systems.
• Hands-on experience building or operating LLM-agent infrastructure — harnesses, tool-integration protocols, subagent orchestration, or similar.
• Strong understanding of LLM application mechanics: context windows, prompt design, caching, and reasoning/latency tradeoffs.

Responsibilities

• Design and build agentic workflows that let engineers automate more of the SDLC — from code generation and review to testing and release — with confidence in the output.
• Improve context-grounding systems so agents resolve the right information on the first try, cutting slow, error-prone multi-turn search out of the workflow.
• Tune model-routing so each task runs on the model best suited to it — matching capability to the job at hand, with cost efficiency as one input among several.
• Build observability and quality tooling — dashboards, usage insights, benchmark suites — that give engineers confidence in what agents are doing and how well they’re doing it.
• Establish internal benchmarks graded against real-world tasks (bug detection, review quality, latency) to validate improvements empirically rather than by intuition.
• Partner closely with engineering teams to identify high-friction points in their workflows and turn them into automated, agent-driven capabilities.
• Contribute to the broader engineering culture of responsible, effective AI adoption across the organization.

Skills

Backend engineering

Kubernetes

LLM infra

Python

Go

AI workflows

Observability tooling

Cost governance

Tools

LLM SDKs

Job description

CrowdStrike is seeking an AI SDLC Engineer to scale agentic AI across the software development lifecycle. You will design platforms and workflows that empower engineers to ship faster, offload routine tasks to AI agents, and focus on complex problems.

You will collaborate with teams to optimize context grounding, model routing, and observability while ensuring cost-efficient AI usage. This role emphasizes responsible, effective AI adoption across the organization and requires security-conscious