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351 open listings · Page 14 of 15
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
Crusoe
Full-time · San Francisco, CA · $172,500 – $210,000
This role involves designing and maintaining automated testing frameworks for large-scale GPU clusters, with a focus on validating interconnect performance, distributed workload scaling, and multi-node stability in virtualized environments. It suits engineers with deep systems knowledge who enjoy working on low-level infrastructure challenges in a fast-moving AI compute company.
Listed on Crusoe’s careers site · Apply there ↗
Accenture
You will design and deploy production agentic AI systems for enterprise clients, working across the full stack from multi-agent orchestration to RAG pipelines and LLMOps. This role is for engineers with proven shipping experience in production AI systems, not just prototyping, who can architect solutions that integrate multiple LLM providers and scale beyond individual engagements.
Listed on Accenture’s careers site · Apply there ↗
Workday
Full-time · 2 locations · $137,000 – $205,400
A senior technical leader who shapes cloud infrastructure strategy and oversees migration to public cloud platforms, managing a team while implementing Infrastructure-as-Code best practices. This role suits experienced cloud architects with deep expertise in AWS or GCP and a track record leading enterprise transformation initiatives.
Listed on Workday’s careers site · Apply there ↗
LSEG
A senior hands-on reliability engineer will lead the establishment of SRE foundations, define observability standards, and collaborate across architecture and engineering teams to embed reliability into systems from inception. This role suits an experienced infrastructure expert comfortable with technical leadership, incident response, and mentoring while working across global teams in a financial markets organization.
Listed on LSEG’s careers site · Apply there ↗
Crusoe
Full-time · San Francisco, CA · $237,600 – $288,000
Senior Staff Software Engineer leading the design and scaling of Crusoe's cloud infrastructure orchestration platform, managing Kubernetes clusters and establishing technical standards across multiple teams. This role suits experienced systems engineers who want to combine deep expertise in distributed systems with strategic leadership on high-impact infrastructure initiatives.
Listed on Crusoe’s careers site · Apply there ↗
Accenture
You'll architect and deploy multi-agent AI systems that solve real problems in enterprise environments, moving beyond prototypes to production systems that clients depend on. This role demands hands-on experience shipping agentic systems and mastery of the full stack—from LLM integration and RAG pipelines to observability and cost management—working directly with client engineering teams to build patterns that scale across engagements.
Listed on Accenture’s careers site · Apply there ↗
Workday
Full-time · 2 locations · $147,400 – $221,200
A Site Reliability Engineer on Workday's federal analytics team, focused on building and maintaining Kubernetes infrastructure, CI/CD automation, and observability systems for government cloud deployments. This role suits experienced platform engineers who want to apply their expertise to mission-critical federal systems with high security and reliability demands.
Listed on Workday’s careers site · Apply there ↗
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 · 2 locations · $136,000 – $160,500
This role builds and operates cloud storage infrastructure for an AI infrastructure company that owns its full technology stack. The right fit will have deep experience with distributed storage systems and the ability to drive innovation across cloud storage features while collaborating across engineering 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 · 2 locations · $163,800 – $245,800
This role involves building scalable machine learning infrastructure and deployment systems for a federal-focused cloud platform. You'll work with containerization and orchestration technologies to support data scientists and ML engineers in production environments serving U.S. government agencies.
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
San Francisco, CA · $156,000 – $190,000
Crusoe seeks a Staff-level cloud infrastructure expert to lead technical escalations, design reliability systems, and mentor engineers across their AI compute platform. This role suits experienced SRE or DevOps engineers who want to shape infrastructure architecture while directly supporting high-stakes customer incidents in a fast-growing AI infrastructure company.
Listed on Crusoe’s careers site · Apply there ↗
Accenture
You'll design and deploy production-grade AI agent systems for enterprise clients at scale, moving beyond prototypes to systems running real business operations. This role suits experienced AI engineers who have shipped multi-agent systems in production and want to scale patterns across an organization with access to major AI vendors and a pathway into specialized technical leadership.
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
2 locations · PLN 203,800 – PLN 322,200
LSEG seeks a senior data engineer to design and oversee a comprehensive data ecosystem built on Azure, SQL Server, Python, and Databricks, guiding junior staff and establishing practices that ensure reliability and scale across the organization's financial markets infrastructure. This role blends architectural strategy with hands-on pipeline development and is ideal for someone who combines deep technical expertise with the motivation to mentor and drive organizational standards.
Listed on LSEG’s careers site · Apply there ↗
Crusoe
Full-time · Sunnyvale, CA · $209,000 – $253,000
Crusoe seeks a senior production engineer to lead reliability and operational excellence across their GPU cloud infrastructure that powers AI workloads. This role combines technical depth in distributed systems and infrastructure with leadership responsibilities, mentoring junior engineers while architecting observability and automation solutions for large-scale, latency-sensitive environments.
Listed on Crusoe’s careers site · Apply there ↗
Accenture
This role administers containerized platforms and microservices architectures at scale, managing Kubernetes and OpenShift environments while automating infrastructure and ensuring security across cloud-native systems. It suits experienced operations or DevOps professionals who want to deepen expertise in container orchestration and infrastructure automation within a hybrid work setup.
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
San Francisco, CA · $180,000 – $210,000
Crusoe seeks a Senior Software Engineer to design and operate managed Kubernetes infrastructure for AI workloads, focusing on reliability, scalability, and carbon-efficient operations. This role suits experienced systems engineers comfortable with Go, Kubernetes, and infrastructure-as-code who want to contribute to a high-performance cloud platform handling demanding AI compute.
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 ↗
Accenture
Design and deploy multi-agent AI systems in production for enterprise clients across diverse technology stacks, working alongside client engineering teams to build scalable agentic architectures that go far beyond prototypes. This role suits engineers who have shipped production agentic systems and understand the operational realities of AI agents in live environments.
Listed on Accenture’s careers site · Apply there ↗
Accenture
This role combines deep AI engineering expertise with client-facing technical leadership at an enterprise services firm specializing in agent-powered systems. You'll architect production agentic solutions, set multi-LLM integration standards across engagements, and mentor engineering teams while working directly with Fortune 500 clients to deploy AI workflows at scale.
Listed on Accenture’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 ↗
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 ↗