App Dev - Java - Lead

Epitec, Inc.

Richmond, VA, United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Compensation

$151,840.0 - $160,160.0

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Application Frameworks Application Integration Architecture Microsoft Azure Cloud Computing Code Review Distributed Computing Environment Distributed Systems Performance Tuning Software Architecture

+10 more

Cloud Services Software Engineering Google Cloud Cloud Platform System Apache Spark Spring-boot Backend Api Design Data Pipelines Microservices

Job description

We are seeking an experienced Java Application Development Lead to support enterprise-scale microservices and API-driven solutions. This role focuses on designing, building, and leading scalable backend services and data pipelines using Java, Spring Boot, and Spark, with exposure to modern cloud platforms. The ideal candidate brings strong hands-on development experience along with the ability to guide technical direction and best practices., * Lead the design and development of microservices and APIs using Java and Spring Boot.

Build and maintain scalable data pipelines leveraging Spark and distributed processing frameworks.
Collaborate with cross-functional teams to deliver high-quality, cloud-enabled solutions.
Provide technical leadership, code reviews, and guidance on best practices for backend development.
Support deployment and integration of applications within cloud environments (AWS, Azure, or GCP).
Contribute to architectural decisions and continuous improvement of system performance and scalability.

Requirements

Bachelor’s degree required.
Minimum 5+ years of professional software engineering experience in microservices and API development using Java and Spring Boot.
At least 4+ years of experience building scalable data pipelines with Spark.
Minimum 2+ years of experience working with cloud platforms (AWS, Microsoft Azure, or Google Cloud).
Strong understanding of distributed systems, backend architecture, and performance optimization., * Master’s degree.
6+ years of experience in microservices and API development with Java and Spring Boot.
5+ years of experience building scalable data pipelines with Spark.
3+ years of hands-on experience with AWS, GCP, Azure, or other cloud services.
3+ years of experience working with open-source frameworks and technologies.