Software Engineer – AWS, Java, Python & Kubernetes

Location: Dallas, TX

Duration: 12 months

Job Summary: We are seeking a hands-on Senior Software Engineer to build scalable, cloud-native data platforms using AWS, Java, Python, Kubernetes, and distributed systems technologies. The ideal candidate will have strong expertise in microservices, big data processing, and modern data lake/lakehouse architectures.

Key Responsibilities: Design and develop scalable cloud-native applications and data platforms using AWS services, including S3, Lambda, API Gateway, and EventBridge. Build REST APIs, microservices, and event-driven applications. Develop high-performance data pipelines using Apache Spark and PySpark. Design and optimize data lakes, data warehouses, and Delta Lake/lakehouse solutions. Develop backend services using Java and Python, with frontend development using Angular, TypeScript, and JavaScript. Containerize and deploy applications using Kubernetes. Implement messaging and streaming solutions using Kafka, SNS, and SQS.Optimize system performance, scalability, security, reliability, and cloud costs. Manage infrastructure automation, CI/CD pipelines, testing, monitoring, and deployments. Collaborate with engineering, architecture, product, and business teams throughout the software development lifecycle. Required Qualifications5–8 years of software engineering experience building scalable applications and distributed systems. Strong hands-on experience with AWS, Java, Python, Kubernetes, and microservices. Experience developing REST APIs and event-driven architectures. Proficiency in Apache Spark/PySpark and large-scale data processing. Experience with data lakes, data warehousing, Delta Lake, or modern lakehouse architectures. Strong knowledge of Angular, TypeScript, and JavaScript. Experience with Kafka, SNS/SQS, and SQL/NoSQL databases. Familiarity with Terraform or Ansible, CI/CD, Git, and automated testing. Strong understanding of object-oriented design, functional programming, and software engineering best practices. Excellent analytical, troubleshooting, and communication skills.