Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NBCUniversal

Senior Software Engineer

NBCUniversal

. Design, develop, and maintain scalable data and application services supporting AI-driven solutions .

Posted 10/15/2026full-timeRemote • New York • United StatesSenior💰 $120,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsDockerDynamoDBKafkaMicroservicesPython

About the role

Key responsibilities & impact
  • Design, develop, and maintain scalable data and application services supporting AI-driven solutions
  • Build and maintain workflow orchestration, integration, and automation capabilities across enterprise platforms
  • Develop and optimize backend services, APIs, and microservices using modern cloud-native architectures
  • Evaluate and implement emerging technologies to improve system reliability, performance, and developer productivity
  • Implement monitoring, observability, and operational tooling to ensure platform health and application performance
  • Collaborate with cross-functional teams and participate in Agile ceremonies
  • Perform peer reviews and contribute to engineering standards and best practices
  • Design, develop, and optimize intelligent systems and autonomous agents across the full agent development stack

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science or related field
  • 5+ years of professional software engineering experience
  • Expertise in Python and relevant libraries
  • Strong fundamentals in algorithms, distributed systems, and cloud-native design
  • Experience building and consuming REST APIs and event-driven systems
  • Strong knowledge of AWS services including Lambda, ECS, S3, DynamoDB, and API Gateway
  • Excellent communication, collaboration, and problem-solving skills
  • Self-directed ability to multitask
  • Sharp analytical abilities
  • Experience with vector databases and embedding pipelines
  • Experience with real-time or streaming platforms such as Kinesis or Kafka
  • Familiarity with Docker and containerization technologies
  • Experience with reinforcement learning or agentic evaluation frameworks
  • Experience with LangGraph or similar agentic frameworks
  • Knowledge of LLM model integration and tuning
  • Hands-on experience with LangSmith or LangFuse observability tools
  • Experience developing MCP Servers

Benefits

Comp & perks
  • Company-sponsored medical, dental, and vision insurance
  • 401(k)
  • Paid leave
  • Tuition reimbursement
  • Variety of discounts and perks
  • Fully remote work arrangement