Member of Technical Staff - Enterprise Engineering I [Bay Area]

San Francisco Bay Area · Remotefull time

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Remote

senior

$150k–$200k

H1B: yes

Ntt Data Aivista Member of Technical Staff at NTT DATA AIVista builds platform features and works directly with customers to deliver AI-driven enterprise software. This entry-level role involves designing, implementing, and testing services, APIs, and integrations with mentorship from senior engineers.

Responsibilities

Build platform features — design, implement, and test the services, APIs, and integrations that make up the AIVista platform.
Work directly with customers — take part in requirement discussions, ask the questions that make requirements precise, demo your work, and help debug integration issues in customer environments.
Turn requirements into software — write short designs, break work into steps, and deliver against the requirement, not just the ticket.
Own quality — write well-tested, readable code, and learn and apply our production practices.
Learn fast — pick up new systems, languages, and customer domains as the work requires.
Representative Projects
Build a connector that lets agents read from a customer's system of record, with the authentication and access controls that customer requires.
Implement a data pipeline feature a customer asked for, and write the tests that prove their data stays correct.
Add the observability a customer needs to trust an agent workflow in production.
Fix a performance or reliability problem found during a customer deployment.

Qualification

data structures and algorithmsoperating systems (processesnetworking (HTTPdatabases (SQLSound testing and debugging habitsClear written and verbal communicationProjects using LLM APIsYou don't need to check every box

Required

Bachelor's degree in computer science or a related field, or equivalent practical experience.
Hands-on software experience through internships, research, work, or substantial personal projects.
Demonstrated computer science fundamentals in 2 or 3 of the following:
data structures and algorithms, including complexity analysis
operating systems (processes, memory, concurrency)
networking (HTTP, TCP, DNS)
databases (SQL, indexing, transactions)
Proficiency in Python or another modern language (Go, TypeScript, Java, Rust, or similar). You should be able to write code you'd put your name on.
Sound testing and debugging habits. You can find why something is broken, not just that it is.
Clear written and verbal communication, including explaining technical work to non-engineers.
Interest in working directly with customers. (some travel required)

Preferred

Experience deploying and running software on a cloud platform (AWS, Azure, or GCP), including containers such as Docker.
Projects using LLM APIs, agent frameworks, or retrieval-augmented generation (RAG).
Internship or project work with real users or external stakeholders.
Independent work — open-source contributions, shipped side projects, or technical writing.
Our interviews focus on fundamentals and how you reason through problems, not framework trivia.
You don't need to check every box. If you're excited about this work and confident you can do it, even if your experience doesn't line up with every qualification above, we'd rather hear from you than have you rule yourself out. Strong candidates often bring backgrounds we didn't expect. You will need to be in the office in Palo Alto, CA a minimum of 4 days per week.

Benefits

Dental
Vision
401(k)
PTO

Company

Ntt Data Aivista

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Source: ashby

Active within the past hour

Remote-friendly

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