Software Engineer

ApTask

Fort Worth, TX, United States

11 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Microsoft Azure Software as a Service Cloud Engineering Code Review Continuous Integration Serialization DevOps Distributed Systems Fault Tolerance

+24 more

Protocol Buffers Monitoring of Systems JSON Performance Tuning Prometheus SQL Databases Data Streaming Systems Integration Data Logging Google Cloud Cloud Platform System Grafana Spring-boot Event Driven Architecture Kubernetes Apache Flink Avro Apache Kafka Functional Programming Restful APIs Stream Processing Data Pipelines Docker Microservices

Job description

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.

Requirements

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., * 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.