Skill
Serverless Computing
Cloud Computing and DevOps
Serverless computing is a cloud execution model in which a provider automatically manages the underlying servers, allowing developers to deploy code as discrete functions that run on demand and scale automatically, as with AWS Lambda, Azure Functions, or Google Cloud Functions. Developers pay only for actual compute time used rather than provisioning fixed server capacity. It appeals to teams wanting to reduce operational overhead and focus on application logic rather than infrastructure management.
Serverless Computing in the job market
Last checked September 12, 2026
- Open roles
- 10
- Employers
- 4
- Median pay
- —
- Disclose pay
- —
on Career App right now
hiring for it
not enough disclosed
of these roles
Open roles requiring Serverless Computing (10)
【Consulting】シニアクラウドアーキテクト
DXC Technology
Senior Cloud Architect role focused on leading enterprise-scale cloud migration and modernization projects across AWS, Azure, and GCP. Suited for experienced cloud professionals who want to work on complex hybrid IT solutions with access to cutting-edge technology and global partnership resources.
Listed on DXC Technology’s careers site · Apply there ↗
AI Native SW Eng
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 ↗
Staff Cloud Engineer
Supercast
Full-time · Tempe, AZ · $160,000 – $175,000
Fox is seeking a Staff Cloud Engineer to design and operate cloud infrastructure for their broadcast and media operations, with responsibility for AWS and GCP systems serving high-stakes live events. The role suits someone with deep cloud architecture expertise who can mentor others, drive technical standards, and balance competing demands around security, cost, and reliability in hybrid on-premises and cloud environments.
Listed on Supercast’s careers site · Apply there ↗
Senior Enterprise Sales Engineer - Bay Area
Redpoint Ventures Portfolio
United States - Remote · $225,000 – $275,000
This role involves partnering with enterprise and mid-market customers to demonstrate and sell Chainguard's secure, hardened open source software solutions. It suits experienced sales engineers with strong technical depth in cloud and container security who can navigate complex organizational stakeholders and close deals through technical proof-of-concepts and demonstrations.
Listed on Redpoint Ventures Portfolio’s careers site · Apply there ↗
Manager - AI Native
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 ↗
Forward Deployed Manager
Accenture
This role embeds an engineer directly in client enterprises to architect, deploy, and scale AI systems that deliver measurable business outcomes. It suits experienced software leaders who can navigate complex organizational environments, translate executive strategy into production AI capabilities, and own accountability for adoption and ROI across entire accounts.
Listed on Accenture’s careers site · Apply there ↗
AI Native Software Engineer
Accenture
This role embeds engineers directly with enterprise clients to design, deploy, and scale AI systems from concept through production using platforms like Claude, GPT, and Azure OpenAI. It suits engineers who thrive in hands-on delivery, want to own outcomes end-to-end, and are energized by working across ambiguous problems in large organizations.
Listed on Accenture’s careers site · Apply there ↗
AI Architect Engineer
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 ↗
Forward Deployed Engineer Manager
Accenture
A senior engineer who embeds within enterprise clients to lead AI platform deployments end-to-end, owning business outcomes like adoption and time-to-value rather than just delivery milestones. This role suits experienced cloud engineers with a track record of shipping production AI systems and leading teams through complex, ambiguous client environments.
Listed on Accenture’s careers site · Apply there ↗
Forward Deployed Engineer
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 ↗
Asked for alongside Serverless Computing
Measured from the 10 open roles that name Serverless Computing — not from a curated list.
- Microservices7 roles70.0%
- Retrieval-Augmented Generation (RAG)6 roles60.0%
- Containerization5 roles50.0%
- Kubernetes5 roles50.0%
- Terraform5 roles50.0%
- CI/CD4 roles40.0%
- Context Engineering4 roles40.0%
- Docker4 roles40.0%
Roles that use Serverless Computing
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.