Lead the design and evolution of large-scale, mission-critical data systems powering a tax automation platform, owning the end-to-end flow from ingestion and validation to domain modeling, file generation, and regulatory submissions.
Locations (3)
Argentina
Brazil
Montevideo, Montevideo, Uruguay
Compensation
Annual Salary Range: $2,021,800.00 - $2,695,700.00
Pay Basis: Monthly
The expected base salary range for this role varies by location and is expressed in local currency. The posted range reflects the anticipated hiring range for successful candidates at the time of hire, based on relevant job‑related skills, experience, geographic location, and business needs. Base pay offered to new hires may vary within the posted range depending on individual qualifications and market considerations.
In addition to base pay, this role may be eligible for other elements of Vertex’s total compensation package, which may include participation in the Vertex Bonus Plan (VOB), a role‑specific sales commission or bonus, and/or equity grants, where applicable.
Responsibilities
Lead design and evolution of large-scale data systems
Drive design of complex ETL/ELT and streaming pipelines
Tackle performance and correctness challenges in Spark/PySpark and Python
Own production-grade data infrastructure on AWS
Define technical roadmap for platform scale
Requirements
Equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degree.
Design, build, and operate services in a TypeScript platform (NestJS) for a unified ads platform, owning APIs and data contracts, modeling data, integrating event-driven systems, delivering user-facing surfaces, operating on Kubernetes, and driving observability and quality.
Compensation
Zone A: $135,400 - $175,900
Zone B: $125,300 - $162,800
Responsibilities
Design, build, and operate services in our TypeScript platform (NestJS) across a large domain model, owning the APIs and data contracts that downstream ads systems depend on
Model entity data for scale and change — relational schema design, migrations, and schema evolution against tables that serving, billing, and reporting all read from
Design and build event-driven integrations with Kafka and Google Cloud Pub/Sub, using patterns such as transactional outbox and idempotent consumers to maintain consistency across service boundaries
Deliver the user-facing surfaces on top of the platform in React and TypeScript, turning dense entity and performance data into workflows publishers and advertisers can trust
Operate what you build on Kubernetes, where the service declares its own cloud infrastructure alongside its code, and take real ownership of its SLOs
Requirements
Nice to have: Go
Nice to have: Ads systems
Nice to have: Attribution
Nice to have: Billing
Nice to have: Monetization
Skills
Principal Security Researcher – AI (Cybersecurity LLM Post-Training, Evals, and Environments)
Lead AI research to advance cybersecurity capabilities of large language models and autonomous AI agents through post‑training, evaluation, and environment design.
Compensation
$163,200.00 - $264,000.00/yr
Responsibilities
Develop high‑quality security data, realistic training and evaluation environments, reliable graders, and post‑training methods for complex cybersecurity tasks spanning vulnerability research, threat analysis, detection, investigation, remediation, secure coding, and autonomous security workflows.
Design reproducible training and evaluation environments for complex cybersecurity tasks.
Transform source‑code repositories, vulnerabilities, security incidents, malware samples, threat intelligence, detection logic, patches, test harnesses, and security tools into structured tasks for LLMs and AI agents.
Build reliable graders, verifiers, and reward signals using tests, compilation, runtime behavior, security‑tool outputs, detection results, vulnerability reproduction, and other domain‑specific validation methods.
Design evaluations for security reasoning, code understanding, threat analysis, root‑cause analysis, tool use, long‑horizon execution, and autonomous task completion.
Requirements
BS/MS degree in Computer Science, Machine Learning, Artificial Intelligence, Cybersecurity, or a related field, or equivalent practical experience.
Lead the technology strategy, solution, and execution of initiatives that support Visa’s GenAI platform and overall AI posture, driving innovation and time to market.
Compensation
The estimated salary range for this position is $217,900.00 to $ 349,000.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.
Responsibilities
Define and drive the overall technical strategy and architecture
Architect, design, and code highly scalable, reliable, and secure distributed systems and platforms
Lead the adoption of Generative AI and Agentic AI to boost developer productivity
Establish and promote best practices for software development, including CI/CD automation and DevOps
Actively contribute to critical projects by developing key modules, core frameworks, automation tools, and proof-of-concepts
Senior Manager, NAM eCommerce Business Lead owns the day-to-day operation and performance of the eCommerce business across the NAM region.
Compensation
The annual starting salary for this position is between $130,000 – $150,000 annually.
Responsibilities
Own day-to-day operation of the NAM eCommerce business, monitoring performance across the full funnel and acting on opportunities and risks in real time
Serve as the business lead connecting Marketing, Product, Tech, Finance, and Regional teams around a shared view of eCommerce performance and priorities
Manage the operating cadence for the NAM eCommerce business, including business performance reviews, issue triage, and prioritization of fixes and enhancements
Identify and troubleshoot site/funnel issues affecting conversion or revenue, coordinating with Product and Tech teams to resolve them
Develop deep fluency in the core levers driving conversion rate and revenue across the NAM digital funnel
Partner with cross-functional engineering teams, product management, and platform/infrastructure leadership to define and drive the technical strategy for Data Lifecycle Management (DLM) capabilities within the Deployment Technology organization.
Partner with cross-functional engineering teams, product management, and platform/infrastructure leadership to define and drive the technical strategy for Data Lifecycle Management (DLM) capabilities
Design and build systems that manage the full lifecycle of data — retention, archival, tiering, purge/deletion, backup and restore, and migration — ensuring compliant, efficient, and reliable operation at scale
Proactively identify systemic risks and scalability bottlenecks across data retention pipelines and deployment processes, and design engineering mitigations that span multiple services and release trains
Lead standardization and continuous improvement efforts for data lifecycle tooling and deployment processes across the Deployment Technology organization
Facilitate technical design reviews and architecture discussions with senior engineering and product stakeholders on DLM and deployment systems
Requirements
Bachelor's degree in Computer Science, Engineering, or related discipline
Sr Software Development EngineerWorkday, Inc. · Dublin, Ireland