Software Gigs

Design and implement Infrastructure as Code to automate provisioning, monitoring, and lifecycle management of NoSQL, Streaming, and Caching platforms (Cassandra, Aerospike, Kafka, Redis) across AWS and GCP. Build highly available, self-healing systems with automated failover and scaling, develop comprehensive observability solutions, and lead incident response for critical data platform issues. Drive automation-first practices and apply AI/ML approaches such as anomaly detection and predictive scaling to enhance reliability and reduce manual toil. Partner with engineering and platform teams to ensure resilient infrastructure supporting billions of transactions and millions of players globally.

Own and deliver small to medium machine learning system components from design through production deployment, including building data pipelines, training and evaluating models, and implementing MLOps monitoring. Write high-quality Python code to translate technical requirements into maintainable solutions, working with frameworks like scikit-learn, TensorFlow, PyTorch, and HuggingFace. Design and deploy ML models as microservices, APIs, batch jobs, or streaming components on AWS, with responsibility for model performance metrics, data drift detection, and retraining triggers. Collaborate across Data Engineers, Software Engineers, Data Scientists, and product stakeholders to deliver project objectives.

BAE Systems seeks a Software Engineering Intern III for Summer 2027 to develop new code, resolve critical problems, and improve system stability within the Electronic Systems division. The intern will work alongside experienced engineers on real-world aerospace and defense projects, gaining hands-on experience with modern software architectures, frameworks, and databases. Required skills include proficiency in Java, C++, C#, Python, or JavaScript, along with knowledge of data structures and object-oriented programming. The role offers exposure to cloud platforms (AWS, Azure), containerization (Kubernetes, Docker), frontend frameworks (React, Angular), backend tools (Spring, Gradle), and various databases (SQL, NoSQL).