A Software Engineer III responsible for the design and delivery of applications, platforms, or systems, including mid-to-large AI and automation solutions. The role involves directing AI agents, leading verification of changes, and coaching teammates.
Locations (2)
Lincoln, Nebraska, United States
United States
Responsibilities
Own the system design, including components, patterns, performance, reliability, and implementation approach.
Plan the system’s technical direction for current delivery and its near-term roadmap.
Design components and integrations within the assigned system and document decisions.
Run at least one small-to-mid initiative or mid-to-large AI/automation solution from intake through rollout.
Write stories and acceptance criteria and confirm them with business users.
Requirements
Bachelor’s degree in a related field or equivalent experience
Lead engineering of identity, SaaS, access governance, and internal application capabilities for Microsoft AI.
Locations (3)
Mountain View, California, United States
Redmond, Washington, United States
New York, New York, United States
Compensation
Security Operations Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Own divisional corporate technology problems from discovery through requirements, architecture, implementation, deployment, adoption, operation, measurement, and continuous improvement
Maintain a current inventory of the SaaS, identity, application, and integration surface Microsoft AI owns or configures
The monthly salary range for this position is 3600 – 5400 Eur (gross) + annual performance bonuses.
Responsibilities
Develop and support integrations using TypeScript and Node.js
Adapt external providers’ metadata formats to internal format and update existing integrations
Improve observability and resilience by implementing features that strengthen platform monitoring, stability and security compliance
Manage cloud resources using Terraform to provision and maintain AWS infrastructure including S3, DynamoDB, API Gateway, CloudWatch, EC2, ECS, SNS and SQS
Collaborate and solve by gathering requirements, proposing technical solutions and implementing improvements that address real operational challenges
Requirements
Nice to have: monorepo environment using pnpm and Turborepo
Senior backend role focused on building and maintaining scalable services for Live Commerce and Social Commerce features.
Responsibilities
Desarrollar, desplegar y mantener integraciones que incorporen Social Commerce al ecosistema de Mercado Libre.
Diseñar e implementar servicios y APIs escalables para respaldar experiencias de Live Commerce, interacción en tiempo real y funcionalidades de comercio social, considerando componentes como reproductores de video, publicidad, códecs y redes.
Incorporar herramientas de desarrollo asistido por inteligencia artificial y enfoques como Spec Driven Development.
Participar en las etapas de análisis, diseño, pruebas de concepto y validación; aplicar revisiones de código, testing, métricas, monitoreo y observabilidad para mejorar la calidad y orientar decisiones.
Engineer identity and access capabilities using Entra and connected systems
Build internal applications, automations, integrations, and self-service workflows using low-code/no-code platforms, APIs, event-driven services, configuration as code, and conventional software engineering
Requirements
Doctorate in Statistics, Mathematics, Computer Science, or related field
Master's Degree in Statistics, Mathematics, Computer Science, or related field
Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field
Nice to have: Doctorate in Statistics, Mathematics, Computer Science, or related field AND 5+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection
Nice to have: Master's Degree in Statistics, Mathematics, Computer Science, or related field AND 8+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection
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