JAVA AWS Technical Lead with Python

Wilmington, DE, US • Posted 6 hours ago • Updated 6 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • API
  • Amazon SQS
  • Amazon Lambda
  • Amazon S3
  • Amazon Web Services
  • Apache Kafka
  • Collaboration
  • DevOps
  • Java
  • Python

Summary

Role Overview

We are looking for a Tech Lead who can drive architecture, delivery, and team leadership across Java backend, full‑stack development, AWS cloud services, and event‑driven systems. The ideal candidate brings strong experience with Kafka, data pipelines, and working knowledge of Python for automation, scripting, or data workflows. This role leads an 8‑engineer team and ensures high‑quality, scalable, cloud‑native solutions.

Key Responsibilities

  • Lead design and development of Java‑based backend services and full‑stack applications.
  • Architect and implement event‑driven systems using Kafka and AWS messaging services.
  • Oversee data ingestion, transformation, and pipeline workflows.
  • Build and optimize microservices using AWS Lambda, ECS/Fargate, API Gateway, SQS/SNS, EventBridge.
  • Ensure secure, scalable cloud architecture using S3, DynamoDB, VPC, IAM, and CloudWatch.
  • Integrate GenAI capabilities using AWS Bedrock.
  • Use Python scripting for automation, data processing, or pipeline orchestration where needed.
  • Provide technical leadership, code reviews, and mentorship to an 8‑member engineering team.
  • Collaborate with product, DevOps, and architecture teams to align on delivery goals.
  • Drive engineering excellence in CI/CD, testing, observability, and performance.

Required Skills & Experience

Core Engineering

  • Expert‑level Java backend development
  • Full‑stack familiarity (React/Angular/Vue or similar)
  • Strong understanding of microservices, REST APIs, distributed systems

Eventing & Data

  • Hands‑on experience with Kafka (topics, partitions, consumer groups, schema evolution)
  • Familiarity with data pipelines, ETL flows, and streaming/batch processing

AWS Cloud Expertise

  • Compute & Serverless: Lambda, ECS, Fargate
  • Storage & Databases: S3, DynamoDB
  • Integration & Messaging: API Gateway, SQS, SNS, EventBridge
  • Networking & Security: VPC, IAM
  • Monitoring: CloudWatch
  • GenAI: Bedrock

    

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: 10354711
  • Position Id: 8990598
  • Posted 6 hours ago
Contact the job poster
Praveen Palavalasa

Praveen Palavalasa

Lead Talent Acquisition @ SRI Tech Solutions
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