Cloud Engineer

Our Partner is looking for Engineers to join a project that has an expectation of mod/additional funding through July 2027. Responsibilities Design and implement enterprise-scale cloud infrastructure using AWS CDK and Infrastructure as Code principles Architect and develop robust microservices architectures with focus on scalability, performance, and maintainability Build and optimize data engineering pipelines for large-scale data processing and analytics workloads Lead full-stack development initiatives using modern JavaScript/TypeScript and Python frameworks Implement advanced cloud-native solutions leveraging serverless architectures and event-driven patterns Drive technical excellence through code reviews, architectural decisions, and engineering best practices Solve complex technical challenges across distributed systems and provide innovative solutions to business problems Requirements Active TS/SCI CI Poly, with current Customer eligibility and SBU/SECNet/COE accounts DoD 8140 Compliance Must be willing to work in SCIF daily or as needed 7+ years of professional software engineering experience with cloud-first development approach 5+ years of hands-on experience with AWS CDK for Infrastructure as Code 3+ years building complex, reusable CDK constructs and stacks 3+ years implementing multi-environment deployment strategies using CDK 5+ years of advanced Python development experience Expertise in frameworks like FastAPI, Flask, or Django for API development Strong experience with data processing libraries (Pandas, NumPy, Apache Spark) Proficiency in async programming and performance optimization 5+ years of modern JavaScript/TypeScript development 3+ years with Node.js backend development and npm ecosystem 3+ years with frontend frameworks (React, Vue.js, or Angular) Experience with modern build tools and package managers 4+ years of microservices architecture design and implementation Event-driven architecture patterns and message queuing systems API design, versioning, and service mesh technologies 4+ years of data engineering experience ETL/ELT pipeline development using AWS services (Glue, EMR, Kinesis, Step Functions) Experience with data lakes, data warehousing, and analytics platforms Real-time data processing and streaming architectures 3+ years with AWS cloud-native services Advanced knowledge of Lambda, API Gateway, EventBridge, SQS, SNS Experience with data services: RDS, DynamoDB, Redshift, S3, Athena Container orchestration with ECS, Fargate, or EKS Strong problem-solving abilities with proven track record of resolving complex technical challenges Desired Skills 4+ years of experience with Authority to Operate (ATO) processes in government environments Implementation of NIST 800-53 controls and FedRAMP compliance requirements Security automation and continuous compliance monitoring 3+ years of experience with advanced data analytics and machine learning platforms AWS SageMaker, Databricks, or similar ML/AI platforms Model deployment and MLOps pipeline development Database expertise across multiple platforms Performance tuning and optimization for RDS, DynamoDB, MongoDB Data modeling for both relational and NoSQL databases DevSecOps and security automation experience Integration of security scanning tools (SonarQube, Snyk, Checkmarx) Secrets management and secure coding practices System design and architecture experience Designing for high availability, disaster recovery, and business continuity Performance optimization and cost management strategies Experience with monitoring and observability tools CloudWatch, DataDog, New Relic, or Prometheus/Grafana stacks Distributed tracing and application performance monitoring Leadership experience in technical environments Leading cross-functional teams and technical initiatives Experience with agile methodologies and project delivery Additional programming language proficiency (Go, Java, C#) Open source contribution history and active participation in technical communities #J-18808-Ljbffr