Member of Technical Staff – Enterprise Engineering

NTT DATA AIVista

Software Engineer designing, building, and maintaining systems for enterprise AI operations. Focusing on production-grade software, scalable services, and integrations within customer systems.

Posted 7/30/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $190,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building scalable backend services and APIs, with a strong foundation in Python and modern programming languages. Proven ability to deploy and operate services on major cloud platforms while ensuring high-quality, maintainable code.

Highest-signal resume keywords

Production-Quality Software EngineeringScalable Backend Services DevelopmentCloud Platform Deployment (AWS, Azure, GCP)Containerization and Orchestration (Docker, Kubernetes)Clear Communication and Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoTypeScriptRustBackend ServicesAPIsData SystemsProduction SoftwareDeploymentOrchestration

Soft Skills

Clear CommunicationCollaborationBias for ActionOwnershipAdaptability

Tools & Technologies

AWSAzureGCPDockerKubernetesHelm

Industry Keywords

Production ServicesData PipelinesAgentic WorkflowsAI SystemsCustomer Systems

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoGoogle Cloud PlatformKubernetesPythonRustTypeScript

About the role

Key responsibilities & impact

Build production services — design and ship scalable, reliable backend services and APIs that power the AIVista platform.
Integrate with the enterprise — build the connections, data pipelines, and plumbing that let our platform work inside real customer systems.
Build the infrastructure agents run on — develop the deployment, orchestration, and tooling that keep agentic workflows running reliably in production.
Own quality — write well-tested, maintainable code, and help raise the engineering bar across the team.
Collaborate and iterate — partner with product, AI, and customer teams, and turn feedback and production signals into improvements.

Requirements

What you’ll need

5+ years building and shipping production software
Bachelor’s degree in a technical field, or an equivalent combination of education, training, and experience.
Production-quality software engineering in Python and other modern languages (Go, TypeScript, Rust, or similar), with a track record of building durable systems, not one-off scripts
Experience designing and building scalable backend services, APIs, and data systems
Hands-on experience deploying and operating services on a major cloud platform (AWS, Azure, or GCP), using containers and orchestration (Docker, Kubernetes, Helm, or similar)
Comfortable building with or alongside LLM and AI systems (deep AI development experience is not required)
Bias for action and ownership — you thrive with high autonomy and ambiguity, and ship without sacrificing rigor
Clear communication and collaboration skills, across engineering, product, and customer teams

Benefits

Comp & perks

Medical, dental, and vision insurance
401(k) plan
Significant company HSA contribution
Paid holidays and flexible PTO
And other benefits