Java Technical Lead
SAFETECH CONSULTING SERVICES, INC.
Pittsburgh, PA, United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$100,000.0 - $140,000.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Amazon Web Services
Microsoft Azure
Code Review
Databases
Extract Transform Load (ETL)
Hibernate (Java)
Enterprise Messaging Systems
Scrum Methodology
RabbitMQ
Standard Sql
Systems Architecture
+10 more
Google Cloud
Spring Cloud
Spring-mvc
Spring-boot
Backend
Information Technology
Apache Kafka
Data Management
Restful APIs
Microservices
Job description
- Architecture & Design: Define system architecture, design microservices, and ensure scalability and high performance of back-end systems. [1, 2, 3].
- Hands-On Development: Write complex code, build Proof of Concepts (PoCs), and develop/maintain RESTful APIs. [1, 2, 3]
- Team Leadership & Mentorship: Guide software engineers, conduct code reviews, and enforce engineering best practices (e.g., TDD/BDD). [1, 2].
- Delivery Management: Collaborate with product and business teams to plan releases, estimate effort, and resolve technical blockers impacting delivery. [1, 2]., Job Category: Data Management Job Description: Java Kafka Developer Role and Responsibilities: * Strong hands-on 8+ years of experience as Java Developer with strong Kafka expe…
- 14 days ago, Our client, an IT Services and Consulting company, is looking for a Senior Java Developer for their Monroeville, PA location. Requirements: Skill Set: Java, Spring Boot Microse…
- 1 day ago +
Requirements
- Core Languages: Deep expertise in Java (often Java 11/17/21+ depending on the organization).
- Frameworks: Extensive experience with the Spring ecosystem (Spring Boot, Spring Cloud, Spring MVC) and Hibernate.
- Databases & Integration: Strong knowledge of SQL, messaging systems (e.g., Apache Kafka, RabbitMQ), and ETL workflows.
- Methodologies: Proficiency in Agile/Scrum, CI/CD pipelines, and cloud deployment platforms (AWS, Azure, GCP).
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