Tech Lead - Java Backend / Full Stack / AWS (with Python Exposure) - C

Tech Lead - Java Backend / Full Stack / AWS (with Python Exposure) - C2C/W2

Location: Columbus/Wilmington

Exp range: 15+ yrs

Note: GC on W2

Minimum Years of Experinece: 10+ Years

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, a 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

Key Responsibilities:

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 eve rong experience with Kafka, data pipelines, and working knowledge of Python for automation, scripting, or data workflows. This role leads an 8-engineer team and ensure

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 GenAl 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

GenAl: Bedrock

Leadership & Delivery:

Experience leading teams of 6-10 engineers

Strong communication, delegation, and stakeholder alignment

Ability to drive architecture decisions and balance trade-offs

Proven track record delivering complex cloud-native systems

Nice to Have

CI/CD experience (GitHub Actions, Jenkins, CodePipeline)

IaC (Terraform, CloudFormation)

Container security and observability tooling

Exposure to ML/AI or LLM-based integrations