Java Tech lead with AWS

Position: Java Tech lead with AWS, Data Pipeline. AWS Kinesis, Glue,Python Location: Malvern PA Need local or nearby
Key Responsibilities

Technical Leadership

• Lead end-to-end design and delivery of Java-based microservices and backend systems.
• Define technical standards, coding guidelines, and best practices for the engineering team.
• Conduct code reviews, architectural reviews, and provide hands-on mentorship to junior and mid-level engineers.
• Collaborate with product managers and stakeholders to translate requirements into scalable technical solutions.

AWS Cloud & Data Pipelines

• Architect and implement data pipelines using AWS services Kinesis, Glue, S3, Lambda, and Step Functions.
• Design and manage real-time streaming architectures using AWS Kinesis Data Streams and Kinesis Firehose.
• Build and maintain ETL/ELT workflows using AWS Glue, including Glue jobs, crawlers, and Data Catalog.
• Optimize cloud infrastructure for performance, cost, and reliability across AWS environments.

Java Development

• Develop high-quality, production-grade Java applications using Spring Boot, Spring Cloud, and related frameworks.
• Design RESTful APIs and event-driven microservices with a focus on scalability and resilience.
• Ensure application security, performance tuning, and observability across services.

Python Scripting & Automation

• Write Python scripts for data transformation, automation, and AWS Glue ETL jobs.
• Collaborate with data engineers on Python-based pipeline development and orchestration.

DevOps & CI/CD

• Champion CI/CD practices using tools such as Jenkins, GitHub Actions, or AWS CodePipeline.
• Work with containerization and orchestration technologies Docker and Kubernetes.
• Participate in incident management, root cause analysis, and production support.

Required Qualifications

• 8 years of software development experience with at least 3 years in a Tech Lead role.
• Strong expertise in Core Java, Java 8 , Spring Boot, and Microservices architecture.
• Hands-on experience with AWS services Kinesis, Glue, S3, Lambda, EC2, RDS, and IAM.
• Proven experience building and managing data pipelines and stream-processing architectures.
• Proficiency in Python for scripting, automation, and AWS Glue ETL development.
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB, or equivalent).
• Solid understanding of distributed systems, event-driven architecture, and cloud-native design patterns.
• Strong communication and stakeholder management skills.