Full stack Tech Lead

Overview

Remote
$DOE
Full Time
Contract - W2
Contract - Full-Time

Skills

Microservices
Amazon Web Services
Software Engineering
Amazon S3
distributed systems
Product Design
Python (Programming Language)
Application Programming Interfaces (APIs)
Django Web Framework
Flask (Web Framework)
Curiosity
AWS Fargate

Job Details

Job Title: Full stack Tech Lead

Location: Remote (US)

Hiring Type: Full-Time/Contract

JD: Strong Python, AWS and Lead Exp.

Tech Lead FSD Product Development

Knowledge, Experience & Qualifications

What your background looks like:

  • BS in Computer Science or related fields; MS preferred.
  • 8+ years of experience in key engineering roles (Tech Lead, Software Engineer, Software Architect).
  • 5+ years of experience with Amazon Web Services (AWS), architecting and deploying cloud-native solutions.
  • Deep understanding of cloud computing, workload transition, AWS Well-Architected Framework, industry standards, and best practices.
  • Strong experience with MLOps platforms: AWS SageMaker, Kubeflow, or MLflow.
  • Hands-on design and development using Python, Flask, Django, AsyncIO, etc.
  • Solid understanding of distributed systems, integration, testing, and troubleshooting.
  • Experience with monitoring distributed systems, and strategies for error detection and recovery.
  • Experience designing and developing APIs, Real-Time Systems, and Microservices.
  • Familiarity with AWS services: EKS, S3, RDS, Lambda, Aurora, ECS-Fargate.
  • Eagerness to learn new frameworks and build new processes from scratch.
  • Demonstrated familiarity with CI/CD processes and tools (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.).
  • Experience integrating with async messaging/logging/queues: Kafka, RabbitMQ, or SQS.
  • Strong knowledge of software development processes and project management methodologies.
  • Excellent problem-solving, analytical, communication, and documentation skills.
  • Ability to lead cross-functional initiatives and work effectively in dynamic environments.
  • Collaborative mindset, comfortable working with globally distributed teams.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.