About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interacti…
Skills: Data Engineering, BigQuery, Infrastructure-as-Code, Terraform, CI/CD
About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interacti…
Skills: Python, Large Language Models, RAG Systems, Agentic Workflows, Software Engineering
Como Senior Software Engineer en Mercado Libre, diseñarás y escalarás sistemas innovadores y seguros que resuelven problemas reales y de alto impacto. Trabajarás en un entorno dinámico con tecnología de vanguardia, aplic…
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Own and manage the data infrastructure layer for AI mining, including BigQuery datasets, Vertex AI pipelines, and event streaming resources. Partner with AI and data science teams to build automated data pipelines and ensure robust data governance and privacy compliance.
Requirements
Requires strong experience in data engineering and cloud data warehouses, specifically with BigQuery and infrastructure-as-code tools like Terraform. Candidates must be proficient in managing privacy-sensitive data and implementing observable, durable infrastructure plans.
Full job description
About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.
Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.
Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.
Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your role As an AI Platform Engineer on AI Mining, you'll own the data infrastructure layer that makes skill mining possible. That means BigQuery datasets and schemas, cloud storage, service accounts and IAM, Vertex AI pipeline infrastructure, Dataform integration, and the event streaming resources that connect mining outputs to the rest of the platform. It also means building the automated pipelines that move data into place — scheduled jobs, data copy pipelines, backfill orchestration — so the right data is where it needs to be when the mining team needs it.
You'll work at the intersection of data engineering and infrastructure — your work is what AI engineers, data scientists, and product engineers stand on when they ship.
What you'll do
Get oriented on the data infrastructure landscape: BigQuery datasets and schemas, cloud storage, IAM surface, Vertex AI pipeline setup, Dataform integration, and event streaming topics.
Be paired with a peer and your manager — you'll have context and support before you're expected to own anything independently.
You'll be exposed to the open source technologies we depend on. We employ many open source tools to get the job done, and we love to contribute back to those communities.
Ship your first infrastructure changes: a new dataset, a storage resource, an IAM policy, or a schema update that unblocks the mining team.
Own core data infrastructure: BigQuery datasets, preprocessing storage buckets, service accounts, and access policies across environments.
Partner with AI and data science engineers to translate new pipeline and data needs into provisioned, governed infrastructure.
Contribute to data quality checks, freshness monitoring, and anomaly detection for mining inputs and outputs.
Strengthen the team's infrastructure-as-code practices (Terraform, CI/CD).
Drive expansion of the data platform as the team grows into new channels, customer segments, and verticals.
Own the data governance posture: retention, anonymization, opt-out handling, and access separation for privacy-sensitive content.
Be a trusted partner for AI, backend, product, and analytics teams — they rely on you for reliable data contracts and predictable infrastructure.
Skills you'll bring
You have strong experience in data engineering, data platform, or infrastructure work with a data focus.
You're deeply comfortable with BigQuery or a comparable cloud data warehouse — schema design, dataset management, and access governance feel natural.
You have hands-on experience with infrastructure-as-code; you've provisioned cloud resources and know what good looks like.
You think in data contracts — freshness, lineage, quality, and downstream dependencies.
You're comfortable with privacy-sensitive data: you understand why retention policies, anonymization, and access separation matter and how to implement them correctly.
You work well across ambiguity — teams come to you with a data need, and you can turn it into a concrete, durable infrastructure plan.
You measure and monitor everything. You're not done when it's provisioned; you're done when it's observable.
You enjoy working on a distributed team and value async communication as much as in-person collaboration.
Why Join Dialpad
Work at the center of the AI transformation in business communications
Build and ship agentic AI products that are redefining how companies operate
Join a team where AI amplifies every employee’s impact
Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Related keywords
AI PlatformBigQueryVertex AIDataformTerraformCI/CDInfrastructure-as-CodeData EngineeringData GovernanceIAMCloud StorageEvent StreamingData ContractsAnonymizationData LineageObservability
Dialpad is the leading AI-powered communications intelligence platform creating human-first, AI-enhanced solutions that will drive the next wave of how businesses communicate with and serve their customers. Enterprise customers such as Randstad, RE/MAX, Nasdaq, Express Scripts, T-Mobile, Johns Hopkins, Motorola Solutions, Tractor Supply, and Netflix use Dialpad and its AI capabilities to deliver amazing customer experiences. Supported by notable investors such as Andreessen Horowitz, GV, ICONIQ Capital, and OMERS, Dialpad is a dynamic force in AI technology with a rapidly expanding presence. Visit dialpad.com to learn more.
Offices: 3001 Bishop Dr, Suite 400A, San Ramon, California 94583, US · 1100 Melville St, 4th Floor, Vancouver, British Columbia V6E 4A6, CA · WeWork Marunouchi Kitaguchi, 1-6-5 Marunouchi, Chiyoda-ku,, 10th Floor, Tokyo, Japan 100-0005, JP · 151 Wardour Street, First Floor, London, England W1F 8WE, GB · 101 W 6th St, Floor 6, Austin, Texas 78701, US
How many Software jobs are open in Buenos Aires, Argentina right now?
There are currently 558 open software positions in Buenos Aires, Argentina listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Buenos Aires, Argentina?
Companies currently hiring include Mercado Libre, JPMorganChase, Accenture, Delivery Hero, Despegar, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Buenos Aires, Argentina?
Yes — 397 of the 558 open software positions offer remote or hybrid work (130 remote, 267 hybrid).
How do I apply for Software jobs in Buenos Aires, Argentina?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.