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314 open listings · Page 13 of 13
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
LSEG
This role develops real-time financial data SDKs for a major financial infrastructure provider, requiring expertise in C# .NET and cloud deployment technologies. It suits experienced software engineers comfortable with networking protocols, containerization, and building scalable systems for customers in the financial markets.
Listed on LSEG’s careers site · Apply there ↗
Crusoe
Full-time · San Francisco, CA · $140,000 – $165,000
Crusoe is hiring a Software Engineer to design and operate cloud platform services that power AI infrastructure at scale. This role suits someone with 3-5 years of experience building distributed systems who wants to own core infrastructure components and mentor teammates while working across cloud, energy, and data center teams.
Listed on Crusoe’s careers site · Apply there ↗
Accenture
Build and scale production multi-agent AI systems for enterprise clients, architecting end-to-end agentic architectures from design through operations. This role suits engineers who have shipped real AI systems into production and want to work across diverse industries and technology stacks, rather than staying within a single product company.
Listed on Accenture’s careers site · Apply there ↗
Workday
Full-time · Reston, VA · $163,800 – $245,800
This role involves designing and maintaining Kubernetes-based cloud infrastructure and CI/CD pipelines for U.S. federal agencies using Workday's platform. It suits experienced infrastructure engineers with strong cloud and automation backgrounds who are interested in mission-driven work and can obtain federal security clearance.
Listed on Workday’s careers site · Apply there ↗
LSEG
This role develops real-time financial data libraries in Java for a major financial infrastructure company, requiring strong network programming skills and the ability to work independently on high-quality software solutions. It suits experienced Java engineers with a background in low-level networking who thrive in collaborative teams using modern development practices.
Listed on LSEG’s careers site · Apply there ↗
Crusoe
Full-time · 3 locations · $130,000 – $155,000
This role supports Crusoe's GPU computing customers through technical troubleshooting, on-call incident response, and collaborative problem-solving across infrastructure teams. It suits experienced cloud support engineers who want to work with high-performance computing technologies while helping customers advance AI and scientific research.
Listed on Crusoe’s careers site · Apply there ↗
Accenture
This role builds production-grade AI agent systems for enterprise clients, not prototypes—you'll design multi-agent orchestration, RAG pipelines, and LLMOps infrastructure that runs at scale inside real organizations. It suits engineers who have shipped agentic systems to production and understand the operational realities of AI in live environments.
Listed on Accenture’s careers site · Apply there ↗
Workday
Full-time · Reston, VA · $151,500 – $227,300
This role involves building and maintaining infrastructure systems for analytics services supporting U.S. federal government agencies, with a focus on Kubernetes, CI/CD automation, and platform reliability. It suits experienced infrastructure engineers who want to contribute to mission-critical government technology while handling complex cloud and on-premises systems.
Listed on Workday’s careers site · Apply there ↗
Crusoe
Denver, CO · $175,000 – $250,000
Crusoe seeks a senior solutions engineer to help enterprise customers deploy AI/ML workloads on their GPU infrastructure, serving as the technical bridge between customers and the engineering team. The role combines hands-on infrastructure work—building and optimizing Kubernetes-based systems—with customer engagement, technical storytelling, and feedback that shapes the platform.
Listed on Crusoe’s careers site · Apply there ↗
Accenture
A production engineer who embeds directly within enterprise clients to deploy, scale, and operationalize AI systems in real business environments, owning measurable outcomes from prototype to production. Suits experienced engineers comfortable with ambiguity, client-facing work, and translating technical architecture into business value across the full technology stack.
Listed on Accenture’s careers site · Apply there ↗
Workday
Full-time · Reston, VA · $147,400 – $221,200
A Senior Site Reliability Engineer supporting U.S. federal government modernization efforts, managing both Kubernetes infrastructure and Windows 365/Azure Virtual Desktop environments in high-security, compliance-critical settings. This role suits experienced operators who excel in rigorous security contexts and want to apply their skills to mission-critical government technology.
Listed on Workday’s careers site · Apply there ↗
Crusoe
New York, NY · $180,000 – $220,000
Crusoe is seeking a senior technical leader to serve as the highest-level escalation point for complex cloud infrastructure incidents, working across support, SRE, and product teams to design systemic reliability improvements for AI workloads. This role suits experienced infrastructure engineers who thrive in ambiguity, can mentor others, and want to directly shape how high-performance computing infrastructure scales globally.
Listed on Crusoe’s careers site · Apply there ↗
Accenture
You'll architect and deploy production-grade multi-agent AI systems for enterprise clients across the full technology stack, combining agentic system design with LLMOps at scale. This role suits experienced AI engineers who have shipped production agentic systems, managed eval frameworks, and can lead complex client engagements while establishing reusable patterns across the practice.
Listed on Accenture’s careers site · Apply there ↗
Accenture
You'll design and deploy production agentic AI systems for enterprise clients across industries, owning the full stack from multi-agent orchestration through RAG pipelines to LLMOps in production. This role demands hands-on experience shipping real multi-agent systems in production, not prototypes—you'll embed with client teams, build reusable patterns, and work with the latest LLM APIs and frameworks at scale.
Listed on Accenture’s careers site · Apply there ↗