Cloud Software Engineer

Graham Technologies•Springfield, VA

1d•Hybrid

About The Position

Graham Technologies is seeking a highly experienced Cloud Software Engineer to support a mission-critical federal customer in a classified environment. This role combines cloud engineering, full-stack software development, data engineering, and distributed systems architecture within AWS cloud environments. The ideal candidate will possess deep expertise in Python, TypeScript/JavaScript, AWS cloud-native services, Infrastructure as Code, microservices architecture, and large-scale data processing systems. This position requires hands-on engineering capabilities, architectural leadership, and the ability to solve complex technical challenges in secure government environments.

Requirements

7+ years of professional software engineering experience with a cloud-first development approach
Strong software architecture and system design experience
Demonstrated ability to solve complex technical and distributed systems challenges
5+ years of advanced Python development experience
Expertise with FastAPI, Flask, Django, or equivalent frameworks
Strong experience with: Pandas, NumPy, Apache Spark
Experience with asynchronous programming and application performance optimization
5+ years of modern JavaScript/TypeScript development experience
3+ years of Node.js backend development
3+ years of experience with frontend frameworks such as: React, Vue.js, Angular
Experience with modern package managers, build tools, and development workflows
4+ years designing and implementing microservices architectures
Experience with: Event-driven architectures, Service-oriented systems, Message queuing technologies, API design and versioning, Service mesh technologies
4+ years of data engineering experience
Experience developing ETL/ELT pipelines using AWS services including: AWS Glue, EMR, Kinesis, Step Functions
Experience with: Data lakes, Data warehouses, Analytics platforms, Real-time streaming architectures
3+ years of experience with AWS cloud-native services
Advanced experience with: Lambda, API Gateway, EventBridge, SQS, SNS
Experience with AWS data services: RDS, DynamoDB, Redshift, S3, Athena
Experience with container orchestration technologies: ECS, Fargate, EKS
2+ years of hands-on AWS CDK experience
Experience building reusable CDK constructs and enterprise deployment frameworks
Experience implementing multi-environment deployment strategies and infrastructure automation
Active TS/SCI clearance with current CI Polygraph
Currently eligible and cleared with the Springfield, VA customer
Active SBU, COE, and SIPR/SECNet customer accounts
AWS Green Badge (or eligibility for crossover)
Ability and willingness to work within a SCIF daily or as required

Nice To Haves

4+ years supporting Authority to Operate (ATO) processes
Experience implementing and documenting NIST 800-53 security controls
Experience supporting FedRAMP-compliant environments
Security automation and continuous compliance monitoring experience
3+ years working with advanced analytics and machine learning platforms
Experience with: AWS SageMaker, Databricks, MLOps platforms, Model deployment and machine learning pipeline experience
Experience administering and optimizing: Amazon RDS, DynamoDB, MongoDB
Relational and NoSQL data modeling expertise
Database performance tuning and optimization experience
Experience integrating security tooling into CI/CD pipelines
Hands-on experience with: SonarQube, Snyk, Checkmarx
Secrets management and secure software development practices
High availability and disaster recovery design experience
Business continuity planning
Cloud cost optimization and performance tuning
Enterprise-scale architecture design
Experience with: CloudWatch, DataDog, New Relic, Prometheus, Grafana
Distributed tracing and application performance monitoring expertise
Experience leading technical initiatives and cross-functional engineering teams
Agile software development experience
Proven track record delivering complex technical projects
Experience with additional programming languages such as: Go, Java, C#

Responsibilities

Design and implement enterprise-scale cloud infrastructure utilizing AWS CDK and Infrastructure as Code methodologies
Architect, develop, and maintain scalable microservices-based applications
Build and optimize large-scale data engineering pipelines supporting analytics and operational workloads
Lead full-stack development efforts using modern Python and JavaScript/TypeScript technologies
Develop cloud-native and serverless solutions leveraging AWS managed services
Implement event-driven architectures and distributed systems solutions
Perform code reviews and establish engineering best practices across development teams
Drive architectural decisions focused on scalability, security, maintainability, and performance
Troubleshoot and resolve complex technical issues across cloud platforms and distributed environments
Collaborate with stakeholders to deliver innovative technical solutions supporting mission objectives