Senior Java/AWS Lead - Data Eng, Spark & Kubernetes

TalentOla; Wilmington (DE); On-site; USD 130,000 - 180,000; Full time

Job summary

TalentOla seeks a senior Java/AWS engineer with 8+ years of hands-on experience to build and maintain backend services in an enterprise setting. You will work with Java, Python, Bash, Kubernetes, and Spring Boot, integrating Kafka messaging and relational databases.

The role emphasizes data engineering with Spark and AWS tools (Glue, S3, Lambda, EKS), plus exposure to Spark/Airflow jobs and strong regression testing skills (JUnit/Mockito/Cucumber).

Qualifications

• 8+ years of applied experience with Java and some Python and Bash scripting.
• Strong background with Kubernetes and containerized environments.
• Expertise in Spring and Spring Boot frameworks.
• Experience with messaging systems such as Kafka.
• Proficient with relational databases (Postgres/Oracle) and SQL.
• Hands-on cloud work with AWS services (Glue, S3, Lambda, EKS).
• Data engineering knowledge with Spark; familiarity with Airflow is a plus.
• Experience in issue resolution in production and regression testing (JUnit/Mockito/Cucumber).
• Exposure to CI/CD practices and security considerations.

Responsibilities

• Maintain and troubleshoot production incidents in an enterprise environment.
• Develop backend services using Java, Python, and Bash; leverage Kubernetes and Spring Boot.
• Work with data engineering tools like Spark, Airflow, and AWS data services.
• Collaborate on CI/CD pipelines and testing strategies; monitor logs with Splunk.

Skills

Java

Python

Bash scripting

Kubernetes

Spring / Spring Boot

SQL

Data engineering

Spark

Airflow

CI/CD

Security

Incident management in production

Regression testing

Tools

Kafka

PostgreSQL

Oracle

AWS Glue

S3

Lambda

EKS

DynamoDB

Splunk

JUnit

Mockito

Cucumber

GitHub Copilot

Job description

TalentOla seeks a senior Java/AWS engineer with 8+ years of hands-on experience to build and maintain backend services in an enterprise setting. You will work with Java, Python, Bash, Kubernetes, and Spring Boot, integrating Kafka messaging and relational databases.

The role emphasizes data engineering with Spark and AWS tools (Glue, S3, Lambda, EKS), plus exposure to Spark/Airflow jobs and strong regression testing skills (JUnit/Mockito/Cucumber).