Tech Lead Java Backend / Full Stack / AWS (with Python Exposure) @ Columbus, OH / Wilmington, DE

Columbus, OH, US • Posted 5 hours ago • Updated 5 hours ago
Contract W2
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • API
  • Amazon DynamoDB
  • Amazon Lambda
  • Amazon S3
  • Amazon SQS
  • Amazon Web Services
  • AngularJS
  • Apache Kafka
  • Artificial Intelligence
  • Backend Development
  • Extract
  • Transform
  • Load
  • Generative Artificial Intelligence (AI)
  • GitHub
  • Java
  • Jenkins
  • Kubernetes
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Spring Framework
  • Terraform
  • React.js
  • Microservices
  • Docker
  • DevOps
  • Virtual Private Cloud
  • Vue.js

Summary

Tech Lead   Java Backend / Full Stack / AWS (with Python Exposure)
Location: Columbus, OH / Wilmington, DE
Employment Type: Full-Time Contract (FTC)
Experience Required: 15+ Years

Role Overview

We are seeking an experienced Tech Lead to drive architecture, delivery, and engineering leadership across Java backend development, full-stack applications, AWS cloud services, and event-driven systems. The ideal candidate will have strong expertise in Java, Microservices, AWS, Kafka, Data Pipelines, and working knowledge of Python for automation and data workflows.

This role requires leading a team of approximately 8 engineers while ensuring the delivery of scalable, secure, and high-performance cloud-native solutions.

Key Responsibilities
  • Lead the design and development of Java-based backend services and full-stack applications.
  • Architect and implement event-driven solutions using Kafka and AWS messaging services.
  • Design, build, and optimize data ingestion, transformation, and pipeline workflows.
  • Develop and maintain microservices leveraging AWS Lambda, ECS/Fargate, API Gateway, SQS, SNS, and EventBridge.
  • Ensure cloud architecture follows best practices for scalability, security, and reliability.
  • Manage AWS services including S3, DynamoDB, VPC, IAM, and CloudWatch.
  • Integrate Generative AI capabilities using AWS Bedrock.
  • Utilize Python for automation, scripting, orchestration, and data processing tasks.
  • Provide technical leadership, code reviews, mentoring, and architectural guidance.
  • Collaborate with Product, DevOps, and Architecture teams to align technical solutions with business objectives.
  • Drive engineering excellence through CI/CD, testing, observability, and performance optimization.
Required Skills & Experience

Core Engineering
  • Expert-level experience in Java backend development.
  • Strong experience with Spring Boot, Microservices, and REST APIs.
  • Full-stack development experience using React, Angular, Vue.js, or similar frameworks.
  • Strong understanding of distributed systems and cloud-native architectures.
Event Streaming & Data Engineering
  • Hands-on experience with Kafka, including:
    • Topics and partitions
    • Consumer groups
    • Schema evolution
    • Event-driven architecture
  • Experience with data pipelines, ETL processes, and streaming/batch data processing.
AWS Cloud Expertise

Compute & Serverless
  • AWS Lambda
  • ECS / Fargate
Storage & Databases
  • Amazon S3
  • DynamoDB
Integration & Messaging
  • API Gateway
  • SQS
  • SNS
  • EventBridge
Security & Networking
  • VPC
  • IAM
Monitoring & Observability
  • CloudWatch
AI/ML
  • AWS Bedrock
Python
  • Working knowledge of Python for:
    • Automation
    • Scripting
    • Data processing
    • Workflow orchestration
Leadership & Delivery
  • Experience leading engineering teams of 6 10 developers.
  • Strong communication and stakeholder management skills.
  • Ability to make architectural decisions and balance technical trade-offs.
  • Proven track record delivering complex cloud-native enterprise applications.
  • Experience managing project delivery, timelines, and technical risks.
Nice-to-Have Skills
  • CI/CD expertise using GitHub Actions, Jenkins, or AWS CodePipeline.
  • Infrastructure as Code (Terraform, CloudFormation).
  • Containerization and orchestration (Docker, Kubernetes).
  • Security, observability, and monitoring tooling.
  • Experience with AI/ML or Large Language Model (LLM) integrations.
 
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.
  • Dice Id: 10500016
  • Position Id: 8992730
  • Posted 5 hours ago
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