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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Engineer - **Company:** CrowdStrike - **Location:** United States - **Experience:** Expert - **Salary:** $140,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Program Optimization, Profiling, Databases, Continuous Delivery, Data Structures, Software Debugging, Distributed Systems, Protocol Buffers, Python (Programming Language), PostgreSQL, Machine Learning, Open Source Technology, Redis, Azure Machine Learning, Software Engineering, Google Cloud, Data Storage Technologies, Cloud Platform System, Cloud Monitoring, Containerization, Kubernetes, Apache Kafka, Machine Learning Operations, Api Gateway, Restful APIs, Stream Processing, Oracle Cloud Infrastructure, Splunk, Grpc, Software Version Control, Docker, Golang, Microservices - **Published:** September 18, 2026 - **Apply:** https://jobs.military.com/career/339048/sr-engineer-cloud-native-ai-detection-response-aidr-hybrid-sunnyvale-california-ca-sunnyvale ## About the Role * 10+ years of software development experience in building Enterprise grade products\n * 5+ years of experience in developing microservices that run in cloud native environments\n * Strong computer science fundamentals (algorithms, data structures, distributed systems)\n * Expertise in at least one cloud native programming language: GO, Python, Java\n * Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n, * Cloud architectures and microservices\n * Web Services: REST, gRPC, Protocol Buffers or similar API technologies\n * Data storage systems: PostgreSQL, Redis or similar databases\n * Container technologies: Docker, Kubernetes or similar orchestration platforms\n * Proven track record of deploying services to at least one of cloud environments (AWS/OCI/GCP/Azure)\n * Strong debugging skills with ability to troubleshoot complex distributed systems\n * Experience with cloud monitoring, profiling and optimization tools\n, * Previous experience in cybersecurity companies or security-focused products\n * Deep understanding of AI/ML security challenges, threats and mitigation strategies\n * Experience with real-time data processing systems (Kafka, Pulsar, Splunk)\n * Contributions to open source libraries and/or frameworks\n * Hands-on experience with working in cloud environments such as Oracle Cloud Infrastructure (OCI), Google Cloud Platform (GCP) and/or Microsoft Azure\n * GCP, OCI & Kubernetes\n * AWS and API Gateway\n * Golang experience\n * MS CoPilot Ecosystem and MS Agent Studio\n * Highly scalable and performant Cloud Native Service experience on AWS\n * MLOps experience including model deployment, monitoring, and lifecycle management\n * Experience with ML model evaluation frameworks and metrics (precision, recall, F1, AUC-ROC, drift detection)\n * Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML\n * Experience implementing CI/CD pipelines for ML models and automated retraining workflows\n * Knowledge of model versioning, experiment tracking, and feature store implementations\n * Experience with A/B testing and canary deployments for ML models in production\n * Familiarity with model explainability and interpretability tools (SHAP, LIME, etc.)\n * Experience with ML observability platforms and model performance monitoring in production\n ## Related Videos - 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