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Software Engineer with Kafka, Java, Flink Experience

Hybrid in Fort Worth, TX, US • Posted 60+ days ago • Updated 4 days ago

Contract W2

12 Months

No Travel Required

Hybrid

$75 - $85/hr

Fitment

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Job Details

Skills

Amazon Web Services
Apache Flink
Apache Kafka
Continuous Integration
DevOps
Docker
Java
Grafana
Kubernetes
Microservices
Microsoft Azure
SQL
SaaS
Spring Framework
Streaming

Summary

We are seeking a highly skilled Senior Software Engineer with expertise in Apache Flink, Apache Kafka, and Spring Boot to design and implement real-time data processing solutions for our SaaS platform. The ideal candidate must have hands-on experience building and deploying streaming applications in production environments and thrives in a fast-paced, cloud-native ecosystem. Key Responsibilities:

Design, develop, and maintain real-time streaming applications using Apache Flink (Java API).
Build and optimize Kafka-based event-driven architectures for high-throughput, low-latency data pipelines.
Develop microservices and REST APIs using Spring Boot for integration with SaaS components.
Ensure scalability, reliability, and fault tolerance in distributed systems.
Collaborate with product and DevOps teams to deploy and monitor solutions in cloud environments (AWS, Google Cloud Platform, or Azure).
Implement observability (metrics, logging, tracing) for streaming applications.
Participate in code reviews, architecture discussions, and performance tuning.

Required Skills & Qualifications:

Strong proficiency in Java (including functional programming concepts).
Hands-on experience with Apache Flink (DataStream API, state management, checkpointing).
Deep understanding of Apache Kafka (topics, partitions, consumer groups, schema registry).
Experience building Spring Boot microservices and integrating with streaming pipelines.
Proven track record of deploying SaaS solutions in production environments.
Familiarity with CI/CD pipelines, Docker, and Kubernetes.
Knowledge of data serialization formats (Avro, Protobuf, JSON).
Strong grasp of distributed systems, event-driven architecture, and stream processing concepts.

Preferred Qualifications:

Experience with cloud-native architectures (AWS/Google Cloud Platform/Azure).
Hands on Deployed Environment experience with Flink
Experience with SQL, Kafka Streams, or other stream processing frameworks.
Exposure to monitoring tools (Prometheus, Grafana) and security best practices.
Background in SaaS product development and multi-tenant architectures.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10441603
Position Id: 8886210
Posted 30+ days ago

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Deepak Verma

Recruiter @ ApTask

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