Wyetech
Software Engineer 2
About this role
Wyetech seeks an experienced Software Engineer to design and deploy full-stack Java applications and serverless AWS architectures for federal government clients. You'll develop end-to-end solutions handling large-scale data processing, real-time systems, and analytics while working on innovative defense technology projects.
What you'll do
- Design and develop full-stack Java applications using AWS serverless architectures
- Engineer end-to-end solutions for data transformation and processing-intensive analytics
- Develop, test, and maintain complex software systems handling large datasets and real-time requirements
- Review software components for design adherence and document test results
- Contribute to system design decisions including hardware/software trade-offs and COTS/GOTS evaluation
- Resolve software defects and provide technical input across the development lifecycle
What they're looking for
- Java development (full-stack)
- AWS ecosystem and serverless architecture
- Large-scale data processing and manipulation
- Real-time systems development
- Software design methodologies and testing
- Requirements analysis and system design
- Algorithm development
- Federal contracting and compliance experience
Benefits
- $5,000 performance bonus
- 20% SEP IRA contribution
- Award-winning corporate culture
- Work on cutting-edge federal technology projects
- Collaborative team environment
- Competitive compensation package
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Wyetech
Wyetech builds cloud infrastructure, cybersecurity solutions, and advanced software systems for federal government clients, leveraging AWS, Kubernetes, machine learning, and cyber range technologies. The company is hiring Cloud Platform Engineers, DevOps Engineers, Software Engineers, and Test Engineers to develop and maintain these mission-critical systems.
View all jobs at WyetechLikely interview questions
- Describe your experience designing and deploying serverless architectures on AWS. What challenges did you encounter?
- Tell us about a time you optimized an application to handle extremely large datasets. What techniques did you use?