Full Stack Java Developer

THE JUDGE GROUP, INC.

Plano, TX, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$135,200.0 - $145,600.0

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Agile Methodology Apache HTTP Server Batch Processing Big Data Microsoft Outlook Cloud Engineering Computer Programming Continuous Integration Extract Transform Load (ETL) Data Mining DevOps

+23 more

Distributed Systems Fault Tolerance Messaging Application Programming Interface Enterprise Messaging Systems NoSQL OAuth OpenID Parsing Systems Development Life Cycle Prometheus Standard Sql Software Engineering Data Streaming Data Processing Transport Layer Security Test-Driven Development (TDD) Grafana Apache Spark Build Management Apache Kafka Functional Programming Amazon Simple Queue Service (SQS) Databricks

Job description

We’re looking for a Full Stack Java Developer with deep experience in large-scale data processing, messaging systems, and cloud-native architectures. In this role, you will design and build systems that extract, process, and analyze communication data (Outlook, Teams) at scale. You’ll work across distributed systems and cloud platforms, contributing to high-performance, resilient applications that support enterprise-wide initiatives. This role is ideal for engineers who thrive in complex environments, enjoy solving data-intensive challenges, and bring strong ownership to their work.

Requirements

Strong experience in Java full-stack development
Hands-on expertise with Outlook and Microsoft Teams data extraction

Experience with email/message parsing libraries such as:

Apache James
JavaMail
Mime4j
MsgParser
Apache Tika

Proven experience with AWS services (Lambda, SQS, data processing, storage, security)
Experience building streaming and batch processing systems at scale
Strong knowledge of SQL and NoSQL databases
Experience working in distributed systems and large-scale environments
Familiarity with Databricks

Preferred Qualifications (Nice to Have)

Experience with data and messaging frameworks: Kafka, Spark, Storm
Knowledge of ELT/ETL pipeline design and implementation
Experience with security frameworks and protocols: TLS, OAuth, OIDC, KMS
Exposure to compliance, surveillance, or regulatory applications
Familiarity with observability tools: Prometheus, Grafana, OpenTelemetry
Experience with polyglot programming (procedural and functional languages)

What Makes You Stand Out

Strong understanding of software development lifecycle (SDLC) and modern engineering practices
Experience with CI/CD, TDD, cloud-native design, and system resiliency
Ability to work across multiple systems and technologies in large enterprise settings
Demonstrated leadership in Agile teams or mentoring engineers
Passion for staying current with emerging technologies and industry trends